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	<title>EBRD blog &#187; Uncategorized</title>
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	<description>European Bank for Reconstruction and Development</description>
	<lastBuildDate>Fri, 27 Jan 2012 15:34:44 +0000</lastBuildDate>
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		<title>Postcard from Davos</title>
		<link>http://www.ebrdblog.com/wordpress/2012/01/postcard-from-davos/</link>
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		<pubDate>Fri, 27 Jan 2012 15:28:59 +0000</pubDate>
		<dc:creator>Anthony Williams Head of Media Relations</dc:creator>
				<category><![CDATA[Economic reports and forecasts]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[davos]]></category>
		<category><![CDATA[economics]]></category>
		<category><![CDATA[emerging markets]]></category>
		<category><![CDATA[world economic forum]]></category>

		<guid isPermaLink="false">http://www.ebrdblog.com/wordpress/?p=1863</guid>
		<description><![CDATA[<p><span style="font-family: 'Times New Roman';"><a href="http://www.ebrdblog.com/wordpress/2012/01/postcard-from-davos/"><img class="alignleft size-full wp-image-1867" title="Screen shot 2012-01-27 at 3.24.42 PM" src="http://www.ebrdblog.com/wordpress/wp-content/uploads/2012/01/Screen-shot-2012-01-27-at-3.24.42-PM.png" alt="" width="427" height="145" /></a><a href="http://www.ebrdblog.com/wordpress/wp-content/uploads/2012/01/Screen-shot-2012-01-27-at-3.20.49-PM.png"><br />
</a>An EBRD delegation took to the Swiss Alps this week for the traditional World Economic Forum in Davos. An annual get-together of the great and the good, it&#8217;s the sort of place where you can&#8217;t walk more than 50 yards </span>&#8230;</p>]]></description>
			<content:encoded><![CDATA[<p><span style="font-family: 'Times New Roman';"><a href="http://www.ebrdblog.com/wordpress/2012/01/postcard-from-davos/"><img class="alignleft size-full wp-image-1867" title="Screen shot 2012-01-27 at 3.24.42 PM" src="http://www.ebrdblog.com/wordpress/wp-content/uploads/2012/01/Screen-shot-2012-01-27-at-3.24.42-PM.png" alt="" width="427" height="145" /></a><a href="http://www.ebrdblog.com/wordpress/wp-content/uploads/2012/01/Screen-shot-2012-01-27-at-3.20.49-PM.png"><br />
</a>An EBRD delegation took to the Swiss Alps this week for the traditional World Economic Forum in Davos. An annual get-together of the great and the good, it&#8217;s the sort of place where you can&#8217;t walk more than 50 yards without spotting a Nobel laureate, a prime minister or another G8 central bank governor.</span></p>
<p><span style="font-family: 'Times New Roman';">London Mayor Boris Johnson was a draw for a lot of the UK press. German Chancellor Angela Merkel opened the meeting with a speech that made clear she was determined to work towards a resolution of the eurozone crisis, but financier George Soros issued a stark warning about the dangers of too much austerity.</span></p>
<p><span style="font-family: 'Times New Roman';">One senior UK editor said he had been told by his London desk that the mood in Davos was more optimistic than expected. But that wasn&#8217;t his own impression in the snow-laden streets of the Swiss ski resort.</span></p>
<p><span style="font-family: 'Times New Roman';">It had stopped snowing by the time the EBRD delegation arrived but WEF founder Klaus Schwab had said earlier that he had not witnessed so much snow in the run-up to this year’s event since the Forum was set up more than four decades ago.</span></p>
<p><span style="font-family: 'Times New Roman';">EBRD President Mirow&#8217;s meetings included a discussion with Ukrainian President Viktor Yanukovych, which received wide press coverage in the Ukrainian media. On Thursday he participated in a panel discussion looking at the outlook for the &#8220;political, social and economic landscape for Russia in 2012&#8243; before heading for a series of bilateral meetings with senior representatives of shareholder countries, key players in our countries of operations and leaders of other international organisations.</span></p>
<p><span style="font-family: 'Times New Roman';">In meetings with the media, both President Mirow and Chief Economist Erik Berglof outlined the risks to growth in eastern Europe from a failure to deal with the crisis in the west. They also outlined the coordination measures being undertaken by the EBRD and others to help deal with the impact of western bank deleveraging in the region.</span></p>
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		<title>Is it time to write off group loans?</title>
		<link>http://www.ebrdblog.com/wordpress/2011/12/is-it-time-to-write-off-group-loans/</link>
		<comments>http://www.ebrdblog.com/wordpress/2011/12/is-it-time-to-write-off-group-loans/#comments</comments>
		<pubDate>Fri, 16 Dec 2011 07:09:19 +0000</pubDate>
		<dc:creator>Ralph De Haas Deputy Director of Research</dc:creator>
				<category><![CDATA[Economic research]]></category>
		<category><![CDATA[Microfinance]]></category>
		<category><![CDATA[Heike Harmgart]]></category>
		<category><![CDATA[microcredit]]></category>
		<category><![CDATA[microfinance]]></category>
		<category><![CDATA[Mongolia]]></category>
		<category><![CDATA[Ralph de Haas]]></category>

		<guid isPermaLink="false">http://www.ebrdblog.com/wordpress/?p=1790</guid>
		<description><![CDATA[Microfinance institutions across the world are moving from group lending to individual lending. Yet, there is not much rigorous evidence on the borrower impact of both types of microcredit to either substantiate or challenge such a strategic shift. We present some such evidence from a randomised field experiment in Mongolia.]]></description>
			<content:encoded><![CDATA[<p>Microfinance institutions across the world are moving from group lending to individual lending.</p>
<p>Yet, there is not much rigorous evidence on the borrower impact of both types of microcredit to either substantiate or challenge such a strategic shift. We present some such evidence from a randomised field experiment in Mongolia.</p>
<p>The ability of microcredit to combat poverty remains hotly debated. After years of rapid growth, various microfinance institutions (MFIs) are currently struggling with repayment problems and, in some cases, a political backlash.</p>
<p>Scepticism has been further fuelled by several randomised field experiments which show that the capacity of microcredit to lift people out of poverty might be smaller than previously thought. In a nutshell, the evidence suggests that microcredit may reduce liquidity constraints, help families cope with shocks, and encourage entrepreneurship. The ultimate impact on poverty indicators such as income and consumption nevertheless remains ambiguous. Impacts on health and education are difficult to substantiate too.</p>
<p>Learning about the impact of microcredit is also important because the microfinance industry itself is changing. A number of leading MFIs have moved from joint-liability lending, as pioneered by Grameen bank in the 1970s, to individual lending. Under joint liability, small groups of borrowers are responsible for the repayment of each other&#8217;s loans. Group members are treated as being in default when at least one of them does not repay and all members are denied subsequent loans. Group lending often involves committing to repayment meetings and can exploit social pressure, making it onerous for borrowers. This is a key reason why MFIs are moving from joint to individual lending.</p>
<p>Somewhat surprisingly, there exists very limited evidence on the relative merits of individual and group lending in terms of borrower impact. Armendáriz and Morduch (2005), p. 101-102) note that: “<em>In a perfect world, empirical researchers would be able to directly compare situations under group-lending contracts with comparable situations under traditional banking contracts. (…). The best evidence would come from well-designed deliberate experiments in which loan contracts are varied but everything else is kept the same.</em>” This blog post discusses such evidence <a href="http://www.ebrd.com/downloads/research/economics/workingpapers/wp0136.pdf">(Attanasio, Augsburg, De Haas, Fitzsimons, and Harmgart, 2011)</a>.</p>
<p><strong>The experiment</strong></p>
<p>Mongolia is the most sparsely populated country in the world and this makes disbursing, monitoring, and collecting small loans very costly. The aim of our experiment, conducted in cooperation with Mongolia&#8217;s XacBank, was to analyze whether group lending can be an effective and efficient way to lend. Mongolian microcredit has traditionally been provided as individual loans, reflecting concerns that the nomadic lifestyle of indigenous Mongolians had impeded the build up of social capital.</p>
<p>Our experiment took place in 40 villages (Figure 1).</p>
<div id="attachment_1795" class="wp-caption alignleft" style="width: 310px"><a href="http://www.ebrdblog.com/wordpress/wp-content/uploads/2011/12/11.jpg"><img class="size-medium wp-image-1795" title="Overview of participating villages and provinces" src="http://www.ebrdblog.com/wordpress/wp-content/uploads/2011/12/11-300x159.jpg" alt="Overview of participating villages and provinces" width="300" height="159" /></a><p class="wp-caption-text">Overview of participating villages and provinces</p></div>
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<p>XacBank was interested in expanding access to poor and female borrowers, an underserved market segment. A total of 1,148 women from the poorest parts of the population participated and a detailed face-to-face survey was administered to each of them during March-April 2008 (baseline survey, see first photo.</p>
<div id="attachment_1794" class="wp-caption alignleft" style="width: 310px"><a href="http://www.ebrdblog.com/wordpress/wp-content/uploads/2011/12/Photo-11.jpg"><img class="size-medium wp-image-1794" title="Participant being interviewed, photo taken by Britta Augsburg" src="http://www.ebrdblog.com/wordpress/wp-content/uploads/2011/12/Photo-11-300x225.jpg" alt="Participant being interviewed, photo taken by Britta Augsburg" width="300" height="225" /></a><p class="wp-caption-text">Participant being interviewed, photo taken by Britta Augsburg</p></div>
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<p>We measured variables that reflect households&#8217; living standards and that could in principle be affected by the intervention during a 1.5 year interval: income, consumption, and savings; entrepreneurial activity and labour supply; asset ownership and debt; and informal transfers.</p>
<p>After the baseline survey, we randomised at the village level: women in 15 villages received access to individual loans, to group loans in another 15 villages, while in 10 control villages XacBank did not lend to the women during the experiment. The randomisation removed selection bias, allowing us to attribute post-treatment differences in outcomes to the two lending programs.</p>
<p>The ‘treatment period&#8217; during which XacBank disbursed loans lasted 1.5 years &#8211; from April 2008 to September 2009 &#8211; with some variation across villages. During this period, 57 (50) per cent of the respondents in the group (individual) lending villages borrowed from XacBank. The probability of receiving a microloan during the experiment was 24 percentage points higher in treatment than in control villages.</p>
<p>In October-November 2009 we conducted a follow-up survey to measure the poverty status and economic activity of all women again. We use the data of both survey rounds to measure the impact of the programs on poverty by comparing all women who initially signed up in treatment villages, irrespective of whether they borrowed or not, with those who signed up in control villages.</p>
<p><strong>Group lending versus individual lending: similarities&#8230;</strong></p>
<p>Although XacBank’s loans were intended to finance business creation, about half of all credit was used for household rather than business purposes in both the group- and individual-lending villages. For instance, we find that at the end of the experiment the probability of owning a VCR or radio was 17 and 14 per cent higher in the group- and individual-lending villages, respectively (compared to control villages). For large household appliances the corresponding figures are 9 and 7 per cent.</p>
<p>A second finding that holds for both treatment programs is that women with lower education seem to benefit more. We take education as a proxy for long-term poverty, more reliable than a wealth indicator as it is easier to measure and more stable over time. The results suggest that it is the poorer part of the targeted population that benefits most from microcredit, regardless of how it is delivered.</p>
<p>Third, we find no differences in repayment behaviour between both lending programs. Giné and Karlan (2010) also compare repayment rates between group and individual lending – both with mandatory weekly repayment meetings – and find no significant differences. In our case neither loan programme included mandatory repayment meetings.</p>
<p><strong>&#8230; and differences</strong></p>
<p>We also find important differences between the impact of group and individual loans, to suggest that the former were more effective. For group loans we find a positive impact on female entrepreneurship, one of the main intermediate objectives of the programs. This is largely driven by less-educated women who at the end of the experiment had a 29 per cent higher chance of operating a business compared to similar women in control villages. This difference is 10 per cent for highly educated women. Enterprise profits increase over time as well.</p>
<p>Did increased entrepreneurial activity feed through to improved household well-being? To answer this question we use detailed information on household consumption elicited in the surveys. We find a significant and robust increase, relative to control villages, in food consumption in group-lending villages.  Access to group loans led to more and healthier food consumption, in particular of fresh items such as fruit, vegetables and dairy products.</p>
<p>Total food consumption was 17 percentage points higher. Over time we also see an increase in the use of combustibles and felt for the isolation of <em>gers</em> – traditional Mongolian felt tents (Photo 2) – as well as other non-durable and total consumption.</p>
<div id="attachment_1797" class="wp-caption alignleft" style="width: 310px"><a href="http://www.ebrdblog.com/wordpress/wp-content/uploads/2011/12/Photo-2.jpg"><img class="size-medium wp-image-1797" title="Two group-borrowers in front of one of their gers, in Ikhtamir village in Arhangay province, photo by Ralph De Haas" src="http://www.ebrdblog.com/wordpress/wp-content/uploads/2011/12/Photo-2-300x225.jpg" alt="Two group-borrowers in front of one of their gers, in Ikhtamir village in Arhangay province, photo by Ralph De Haas" width="300" height="225" /></a><p class="wp-caption-text">Two group-borrowers in front of one of their gers, in Ikhtamir village in Arhangay province, photo by Ralph De Haas</p></div>
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<p>Our findings for individual lending suggest that this form of lending was simply not as effective. We find no impact on female entrepreneurship or on consumption, not even with increased exposure to credit. We do find, however, that over time there is an increase in the probability that women operate a business jointly with their spouse – and that these joint enterprises gradually also become more profitable. Nevertheless, it is not clear whether these longer-term effects translate in the same way into higher consumption as they do for group borrowers. We find no evidence that food consumption goes up with exposure in individual-lending villages.</p>
<p>There is at this stage no evidence of changes in income as a result of either of the programs, though it may simply be too early to observe such effects. The more sustained and more generalised increase in consumption in group-lending villages seems to indicate that these loans are more effective at increasing permanent income. Why?</p>
<p>One possibility is that joint-liability ensures better discipline. Group discipline may not only prevent the selection of overly risky investment projects, it may also ensure that a substantial part of the loans is actually invested in the first place. We document results on informal transfers that seem to support this hypothesis: women in group-lending villages decrease their transfer activities with families and friends, the opposite to what we find in individual-lending villages. This could reflect that groups replace some of their informal financial networks but further analysis is needed to explore this.</p>
<p>Our weaker results for individual loans may also reflect that borrowing at baseline (i.e. pre-program) was somewhat higher in individual compared to group-lending villages. Moreover, since group-lending was an innovation in Mongolia, the unmet demand for this product – and its marginal impact – may have been larger. Loan take-up was indeed higher in group-lending villages. This could indicate that some women, in particular the less-educated, had not been comfortable with borrowing alone but were willing to borrow as part of a group. This would imply that group and individual lending are complementary services for which the demand differs across borrower types. The process of liability individualisation by MFIs may therefore run the risk that certain borrowers, those who are not able or willing to borrow on their own, may gradually lose access to finance. It is too early to write off group lending just yet.</p>
<p>B. Armendáriz and J. Morduch (2005), <em>The Economics of Microfinance</em>, MIT Press, Cambridge.</p>
<p>O. Attanasio, B. Augsburg, R. De Haas, E. Fitzsimons, and H. Harmgart (2011), <em>Group lending or individual lending? Evidence from a randomised field experiment in Mongolia</em>, <a href="http://www.ebrd.com/downloads/research/economics/workingpapers/wp0136.pdf">EBRD Working Paper No. 136</a>, London.</p>
<p>X. Giné and D. Karlan (2010), Group versus individual liability: Long-term evidence from Philippine microcredit lending groups, mimeo.</p>
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		<title>Short film competition: the impact of water</title>
		<link>http://www.ebrdblog.com/wordpress/2011/12/short-film-competition-the-impact-of-water/</link>
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		<pubDate>Wed, 14 Dec 2011 16:09:37 +0000</pubDate>
		<dc:creator>Lawrence Sherwin Deputy Director of Communications</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://www.ebrdblog.com/wordpress/?p=1773</guid>
		<description><![CDATA[<p>Films by the two finalists in the <a href="http://tvebiomovies.org/" target="_blank">TVE / EBRD short-film competition</a> are now posted on Youtube, where viewers are invited to cast a vote to decide the eventual winner.</p>
<p>The category of the competition sponsored by the Bank was &#8230;</p>]]></description>
			<content:encoded><![CDATA[<p>Films by the two finalists in the <a href="http://tvebiomovies.org/" target="_blank">TVE / EBRD short-film competition</a> are now posted on Youtube, where viewers are invited to cast a vote to decide the eventual winner.</p>
<p>The category of the competition sponsored by the Bank was entitled &#8220;The impact of water&#8221;, a theme with clear resonance to many of our projects.</p>
<p>The first film is by Saveis Joze Sadeghian, who is based in Tunisia and worked with fellow countryman Ines Chalalaaan. Sadeghian is an Environmental Economist currently working as Climate Change Finance Advisor for the Global Mechanism of the United Nations Convention to Combat Desertification (UNCCD), and is also an actress with a diploma in cinematography.</p>
<p>Here&#8217;s her film, &#8220;Drops of Hope&#8221;.</p>
<p><iframe src="http://www.youtube.com/embed/9dNtnT76dno" frameborder="0" width="450" height="338"></iframe></p>
<p>The other finalist in our category was Peter Vadocz, who succinctly summarises his interest in the potential impact of topical short films like this one; &#8220;if you feel that your thoughts can affect more and more people, it&#8217;s a kind of happiness.&#8221;</p>
<p>His film is entitled &#8220;Clear Water.&#8221;</p>
<p><iframe width="450" height="338" src="http://www.youtube.com/embed/r2TjTbGs06k" frameborder="0" </iframe></p>
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		<title>On the move in Taipei</title>
		<link>http://www.ebrdblog.com/wordpress/2011/11/on-the-move-in-taipei/</link>
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		<pubDate>Mon, 28 Nov 2011 16:46:20 +0000</pubDate>
		<dc:creator>Lawrence Sherwin Deputy Director of Communications</dc:creator>
				<category><![CDATA[Transport]]></category>
		<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://www.ebrdblog.com/wordpress/?p=1707</guid>
		<description><![CDATA[<p><em>“A good traveler has no fixed plans, and is not intent on arriving” (Lao Tse)</em></p>
<p><img src="/wordpress/wp-content/uploads/2011/11/_d_improd_/111114p_f_improf_104x115.jpg" alt="" width="104" height="115" data-mce-height="60" data-mce-width="54" /><img src="/wordpress/wp-content/uploads/2011/11/_d_improd_/111114g_f_improf_130x116.jpg" alt="" width="130" height="116" data-mce-height="60" data-mce-width="67" /><img src="/wordpress/wp-content/uploads/2011/11/_d_improd_/111114i_f_improf_115x115.jpg" alt="" width="115" height="115" data-mce-height="24" data-mce-width="24" /></p>
<p>Ancient Chinese philosopher Lao Tse might have been writing of the plight of many of today’s commuters. I know this, for public transportation is the &#8230;</p>]]></description>
			<content:encoded><![CDATA[<p><em>“A good traveler has no fixed plans, and is not intent on arriving” (Lao Tse)</em></p>
<p><img src="/wordpress/wp-content/uploads/2011/11/_d_improd_/111114p_f_improf_104x115.jpg" alt="" width="104" height="115" data-mce-height="60" data-mce-width="54" /><img src="/wordpress/wp-content/uploads/2011/11/_d_improd_/111114g_f_improf_130x116.jpg" alt="" width="130" height="116" data-mce-height="60" data-mce-width="67" /><img src="/wordpress/wp-content/uploads/2011/11/_d_improd_/111114i_f_improf_115x115.jpg" alt="" width="115" height="115" data-mce-height="24" data-mce-width="24" /></p>
<p>Ancient Chinese philosopher Lao Tse might have been writing of the plight of many of today’s commuters. I know this, for public transportation is the bane of my existence. Hailing from Los Angeles, a city nearly without it, and now living in London with 4,000 trips on the Waterloo &amp; City line to my name, I have become an acute (albeit amateur) and opinionated observer of the travails that face the modern-day commuter.</p>
<p>So it was with more than mere curiosity that I joined a group of transport specialists and decision-makers from our countries of operations in Taipei, capital of Taiwan, for a technical visit hosted by the government. The trip revolved around urban transport systems – from the underground, buses, trains and cars that carry millions of people daily, to the lone cyclist and oft-overlooked pedestrian.</p>
<p>Taipei’s transport impresses from the moment of arrival: efficient, clean and well-organised, it is the effortlessness of the journey that impresses the visitor.</p>
<p><strong>A tale of three cities</strong><br />
Almaty, Bishkek and Chisinau are important EBRD clients in the urban transport sector – and so it made good sense that transport specialists from these cities were invited to Taiwan to learn more about Taipei’s integrated approach to metro, bus and automobile traffic.<br />
With a number of public transport projects approved and more on the way, the Bank has an established relationship with these cities and can point to projects in various stages of preparation and implementation. In Almaty, this includes the purchase of 200 new buses fuelled by natural gas as well as the possible construction of the first light rail train (LRT).</p>
<p>In Chisinau, the municipal trolleybus company has purchased some 100 new trolleybuses and approached the Bank with a request to help transform its road sector. In Bishkek, meanwhile, the Bank’s support will enable the city to acquire 80 new trolleybuses and upgrade network infrastructure.<br />
There was thus much for our group of specialists to discuss and to view. They found out that the backbone of the public transit system in Taipei is its expanding, impressive metro system. It consists of nine intersecting lines with a length of 102 kilometres and carries 1.5 million daily riders. It boasts ultramodern rolling stock and connects seamlessly with trains and a state-of-the-art inter-city bus station, where meticulous organisation enables some 3,000 bus trips daily from 48 platforms. (Here, permit me a brief digression back to the US, where bus stations are usually in a sorry state. The contrast with Taipei could not be greater: intense competition among 10 competing bus companies means low prices and luxuriously-appointed buses.)</p>
<p><strong>The EasyCard</strong><br />
Coordination and organisation are the watchwords of Taipei’s remarkably integrated and well-functioning system. Yet what elicited heightened interest from our experts from Almaty, Bishkek and Chisinau was the country’s expertise in intelligent transport systems. And here the focus was on a single credit-card sized product known as the EasyCard – known more generally as “e-ticketing”.</p>
<p>Though similar to London’s Oyster Card and other smart card systems, the EasyCard has many more uses and covers other means of transport. Beyond the metro and city buses, the card can be used for conventional and high speed trains, riverboats, taxis and bicycle rental – not to mention an array of other services. It can also be used as a debit card at retail outlets including the ubiquitous 7-Eleven stores – and can be linked to a bank account with an automatic top-up capability.</p>
<p>And it can be used to pay for parking, something which also impressed our transport specialists from the region. I never thought that I would sing the praises of parking structures, but a site visit to an underground parking facility as well as to one of 24 automated parking towers managed by the Municipal Parking Authority was fascinating. In the towers, license plate recognition (automatic payment!) and a lift which automatically parks and retrieves your car (thus ensuring rapid access to the nearby tube station) means safe, effortless parking.</p>
<p><strong>The Green Energy Special Fund</strong><br />
Our group of transport specialists also had an opportunity to learn more about the EBRD – and about Taiwan’s activities at the Bank, especially in the area of the environment. After all, the country’s commitment to efficient public transportation is inherently a commitment to environmental protection. And environmental issues are extremely important for Taiwan. As Wen-Lung Tao, Secretary General of the ICDF, Taiwan’s international development fund, puts it: “Our priorities include the development of clean energy, energy efficiency and environmental protection.”<br />
This commitment stands behind the US $80 million contribution made by the ICDF to the Bank to establish the Green Energy Special Fund (GESF), which aims to help Bank clients overcome the “affordability gap” in choosing highly efficient technologies which may be more expensive.<br />
As Jean-Patrick Marquet, EBRD Director for Municipal and Environmental Infrastructure (MEI), notes, “The Fund helps to make the best available technology affordable – meaning that clients can make the leap from yesterday’s to tomorrow’s technology.” There are indeed a number of areas in MEI which could be supported by the Fund, including energy efficient LED street lighting, as well as electric or hybrid bus fleets – all of them of interest to current and potential clients in the EBRD region.</p>
<p><strong>A two-way street</strong><br />
After four days of discussion and site visits, what made the strongest impression on the transport specialists from the EBRD region? Vladimir Merenkov, Head of Public Transport for the City of Almaty, put it succinctly: “Четкость, аккуратность, техническая организация. (Precision, efficiency, technical organisation.)” And the EasyCard, he added.<br />
This was a sentiment echoed by Kanybek Aidarov, responsible for the trolleybus network in the Kyrgyz capital, who was equally impressed by the electronic payment systems, as well as the high level of concern for public safety. Oleg Cernei, Chisinau city council member, was intrigued by the legislative basis and structure of public-private partnerships in developing transport services across Taipei. As for the EasyCard, Adrian Boldurescu, the young head of the Chisinau Transport Department, felt that the Moldovan capital was not quite ready: “Our people are used to cash payment. And even though electronic payment would help to fight corruption, we don’t yet have the mentality to make the switch. But give us few years time…”</p>
<p>All in all, our group of specialists came away with a solid understanding of how Taipei’s urban transport functions, as well as an appreciation of – and interest in – Taiwanese expertise in transport planning, organisation and technology. Yet there was another dimension to the experience that was appreciated and will not be forgotten: the warmth and hospitality of our many hosts. I have no doubt that a number of municipal transport departments in the region have now been enriched with a more solid appreciation of amazing Chinese and Taiwanese food.<br />
Taking the transport metaphor one final step, one could describe the results of the visit as a two-way street. For there will no doubt be an exchange of views and experience between all three cities – as well as between the cities and the technical experts from Taiwan. When all is said and done, a successful technical visit is about the connections, professional and personal, that are forged. And in this sense the visit was most definitely a success.</p>
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		<title>Which Households Use Banks?  Evidence from the Life in Transition Survey</title>
		<link>http://www.ebrdblog.com/wordpress/2011/07/which-households-use-banks-evidence-from-the-life-in-transition-survey/</link>
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		<pubDate>Mon, 25 Jul 2011 09:46:26 +0000</pubDate>
		<dc:creator>Martin Brown, Swiss Institute of Banking and Finance</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://www.ebrdblog.com/wordpress/?p=1538</guid>
		<description><![CDATA[<p style="text-align: left;"><em><a href="http://www.ebrdblog.com/wordpress/wp-content/uploads/2011/07/2.jpg"></a><a href="http://www.ebrdblog.com/wordpress/wp-content/uploads/2011/07/14.jpg"></a>Martin Brown, University of St. Gallen</em>  </p>
<p>Access to banking services is viewed as a key determinant of economic well-being for households, especially in low-income countries. Savings and credit products make it easier for households to align income and expenditure &#8230;</p>]]></description>
			<content:encoded><![CDATA[<p style="text-align: left;"><em><a href="http://www.ebrdblog.com/wordpress/wp-content/uploads/2011/07/2.jpg"></a><a href="http://www.ebrdblog.com/wordpress/wp-content/uploads/2011/07/14.jpg"></a>Martin Brown, University of St. Gallen</em>  </p>
<p>Access to banking services is viewed as a key determinant of economic well-being for households, especially in low-income countries. Savings and credit products make it easier for households to align income and expenditure patterns across time, to insure themselves against income and expenditure shocks, as well as to undertake investments in human or physical capital. Up to now, however, there is little cross-country evidence which documents how the use of financial services differs across households and, in particular, how cross-country variation in the structure of the financial sector affects the type of households which are banked.  </p>
<p>In a <a href="http://www.cepr.org/pubs/new-dps/dplist.asp?dpno=8475">recent paper with Thorsten Beck</a> , I use survey data from  the 2006 and 2010 waves of the EBRD-World Bank  <a href="http://www.ebrd.com/pages/research/publications/special/transitionII.shtml"><em>Life in Transition Survey</em> (LITS)</a> to systematically explore the household- and country-level factors that can explain which households have access to which financial services in the transition economies.  We can also relate changes in usage of banking services with changes in banking structures, deposit insurance and creditor protection across the region during this period.  </p>
<p>The two survey waves of the LITS cover 29 countries in which the EBRD operates. In each country, roughly 1,000 interviews were conducted with randomly selected households for each wave of the survey. The survey includes the following information on the household use of banking services: (i) whether any member of the household has a bank account, (ii) whether any member of the household has a bank (debit or credit) card, and (iii) whether a household that owns its dwelling has financed this dwelling mainly with a mortgage. In addition, the survey includes a rich set of demographic, educational, professional and social household-level information.  </p>
<p>We find a large variation in the use of banking services across the transition economies (see Figure 1).   In Central Europe and the Baltics 78 percent of households had a bank account in 2006. By contrast, in South-eastern Europe  30 percent of households,  in Eastern Europe and the Caucasus 13 percent of households, and in Central Asia only 10 percent of households were banked.  The use of bank cards is less widespread in all regions, ranging from 62 in the Central Europe and the Baltics to 5 percent in Central Asia.  The share of households with a mortgages is very low in all three regions, ranging from 12 percent in Central Europe and the Baltics to just 1 percent in Central Asia.     </p>
<p><strong>Figure 1. Use of bank services by region, 2006 and 2010</strong></p>
<p style="text-align: center;"><a href="http://www.ebrdblog.com/wordpress/wp-content/uploads/2011/07/15.jpg"><img class="aligncenter size-full wp-image-1562" title="Share of households with a bank account" src="http://www.ebrdblog.com/wordpress/wp-content/uploads/2011/07/15.jpg" alt="" width="414" height="249" /></a></p>
<p style="text-align: center;"><a href="http://www.ebrdblog.com/wordpress/wp-content/uploads/2011/07/2.jpg"><img class="size-full wp-image-1544 aligncenter" title="Figure 2. Share of households with a bank card" src="http://www.ebrdblog.com/wordpress/wp-content/uploads/2011/07/2.jpg" alt="" width="414" height="249" /></a> <a href="http://www.ebrdblog.com/wordpress/wp-content/uploads/2011/07/31.jpg"><img class="size-full wp-image-1546  alignnone" title="Figure 3. Share of households with a mortgage" src="http://www.ebrdblog.com/wordpress/wp-content/uploads/2011/07/31.jpg" alt="" width="414" height="249" /></a></p>
<p style="text-align: left;">When considering the household characteristics that predict the usage of banking services, we find that the use of banking services is more common among households located in urban areas, households with higher income, younger households, households headed by a male, as well as for households in which an adult member has university education and formal employment. By contrast, banking products are used less often by households which rely on transfer income and by Muslim households. Drilling down to the country-level, we find that income and education are the most robust predictors across almost all countries in our sample, while the other household characteristics are less consistent across different countries.  </p>
<p>Between 2006 and 2010 we find a substantial increase in the use of financial services  in South-e eastern Europe. The share of households with a bank account increases to 45 percent, while the share of households with a bank card or mortgage increase to 40 percent and 15 percent, respectively. In the other three regions the changes in the use of financial service are much more moderate.  There are, however, notable exceptions, for example Mongolia where the share of households using bank accounts rose from 32 to 50 percent between 2006 and 2010.  </p>
<p>In our analysis we attempt to gauge the effect of changes in banking market structure on the use of financial services. Our results suggest that the privatization of state-owned banks has had a positive impact on access to financial services in the transition economies, including privatization to foreign-owned banks. However, our results also confirm previous findings of cherry-picking, with foreign banks targeting richer, more educated and urban population segments.  </p>
<p style="text-align: left;">Our results also shed doubt on the ability of structural policy to broaden the financial system to disadvantaged groups. Specifically, attempts to broaden the use of financial services through liberalization of the banking sector or more generous deposit insurance do not increase the likelihood that poorer, less educated and rural segments of the population use formal financial services. Similarly, a better contractual and information framework does not seem to foster financial inclusion. Our results do <span style="text-decoration: underline;">not</span> imply that these policies do not help foster financial sector development, rather that it is difficult to target this development to certain groups.  </p>
<p style="text-align: left;"><strong>Figure 2. <strong> Correlation between changes in bank ownership and changes in the use of financial services (2010 compared to 2006)</strong></strong></p>
<p><a href="http://www.ebrdblog.com/wordpress/wp-content/uploads/2011/07/52.jpg">View large version</a> </p>
<p style="text-align: center;"><a href="http://www.ebrdblog.com/wordpress/wp-content/uploads/2011/07/52.jpg"><img class="size-medium wp-image-1550 alignleft" title="Correlation between changes in bank ownership and changes in the use of financial services (2010 compared to 2006)" src="http://www.ebrdblog.com/wordpress/wp-content/uploads/2011/07/52-300x219.jpg" alt="" width="300" height="219" /></a><a href="http://www.ebrdblog.com/wordpress/wp-content/uploads/2011/07/5.jpg"></a>  </p>
<p style="text-align: center;"> </p>
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		<title>PISA Results: how does quality of education compare across the EBRD&#8217;s countries of operation?</title>
		<link>http://www.ebrdblog.com/wordpress/2011/03/pisa-results-how-does-quality-of-education-compare-across-the-ebrds-countries-of-operation/</link>
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		<pubDate>Wed, 30 Mar 2011 13:19:21 +0000</pubDate>
		<dc:creator>Alexander Plekhanov, Principal Economist</dc:creator>
				<category><![CDATA[Countries of Operation]]></category>
		<category><![CDATA[Education]]></category>
		<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://www.ebrdblog.com/wordpress/?p=1382</guid>
		<description><![CDATA[Every three years the OECD Programme for International Student Assessment (PISA) conducts knowledge tests among 15-year old secondary school students in all OECD and a number of non-OECD countries.

In the EBRD countries of operation, the top performers were Estonia, Poland and Slovenia (in that order, with Estonia leading in all three disciplines). The lowest average scores were recorded in Azerbaijan, Albania and the Kyrgyz Republic, the latter also being the weakest performer globally.

]]></description>
			<content:encoded><![CDATA[<p><span style="font-size: x-small;"><em>By Asel Isakova and Alexander Plekhanov</em></span></p>
<p><span style="font-size: x-small;"> </span><strong>PISA</strong></p>
<p>Every three years the OECD Programme for International Student Assessment (PISA) conducts knowledge tests among 15-year old secondary school students in all OECD and a number of non-OECD countries.</p>
<p>Previous rounds of the survey were conducted in 2000, 2003, and 2006, and underpinned the analysis in the 2008 Transition Report, which showed that the quality of education was an important determinant of long-term growth in EBRD countries of operations.</p>
<p>Recently OECD released the results of the fourth round conducted in 2009. The latest round covered 65 countries, extending the coverage of EBRD region from 17 to 18 countries (with the addition of Albania).</p>
<p>The tests cover basic areas of mathematics, science, and analytical reading (interpretation and evaluation of information presented in the form of continuous texts or graphs and tables). The tests include a combination of multiple choice and open-ended questions (the latter accounted for 30-40 per cent of total score). In each country between 4,500 and 10,000 randomly selected students across various regions took part in the survey.</p>
<p><strong>2009 Results</strong></p>
<p>Consistent with the previous rounds of PISA, globally the top performers were Hong Kong, Finland, Singapore and Korea. In the 2009 round the top place actually went to Shanghai city, but this result may not be representative of the standing of China overall.</p>
<p>In the EBRD countries of operation, the top performers were Estonia, Poland and Slovenia (in that order, with Estonia leading in all three disciplines). The lowest average scores were recorded in Azerbaijan, Albania and the Kyrgyz Republic (Chart 1), the latter also being the weakest performer globally.</p>
<table border="1" cellspacing="0" cellpadding="0">
<tbody>
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<td width="581" valign="top"><strong>Chart 1. Average PISA scores by countries and EBRD regions in 2009</strong></td>
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<tr>
<td width="581" valign="top"><strong> <a href="http://www.ebrdblog.com/wordpress/wp-content/uploads/2011/03/30_03_11_1.jpg"><img class="alignnone size-medium wp-image-1397" title="30_03_11_1" src="http://www.ebrdblog.com/wordpress/wp-content/uploads/2011/03/30_03_11_1-300x148.jpg" alt="" width="300" height="148" /></a></strong></td>
</tr>
<tr>
<td width="581" valign="top">Source: OECD, authors’ calculations</td>
</tr>
</tbody>
</table>
<p> </p>
<p>More generally, CEB countries tend to score higher in PISA, followed by Russia, Turkey, SEE, Azerbaijan (the only EEC country included) and Central Asia.</p>
<p>Globally, students in the EBRD region have lower scores on average than students in North America, Asia and EU-15 (interestingly, Asia outperforms both EU-15 and the OECD average in PISA). At the same time, EBRD region results compare favourably to those in the Middle East and Latin America (see Chart 2).</p>
<table border="1" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td width="444" valign="top"><strong>Chart 2. Average PISA scores in the EBRD region vs. other regions in 2009</strong></td>
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<tr>
<td width="444" valign="top"> <a href="http://www.ebrdblog.com/wordpress/wp-content/uploads/2011/03/30_03_11_2.jpg"><img class="alignnone size-medium wp-image-1398" title="30_03_11_2" src="http://www.ebrdblog.com/wordpress/wp-content/uploads/2011/03/30_03_11_2-300x174.jpg" alt="" width="300" height="174" /></a></td>
</tr>
<tr>
<td width="444" valign="top">Note: Average PISA score is a simple average across three scores in reading, mathematics and sciences for each country. Regional averages are simple averages across countries.</td>
</tr>
<tr>
<td width="444" valign="top">Source: OECD, authors’ calculations</td>
</tr>
</tbody>
</table>
<p> </p>
<p>It is important to note that PISA results reflect average performance across the population rather than the performance of the top students or institutions. For instance, United States, home to the world’s most renowned universities, scored just below Poland and Hungary in PISA mathematics test. At the same time, countries that have achieved remarkable breakthroughs in terms of modernization in recent decades tend to be among the top performers in PISA according to the average scores across the three subjects: Hong Kong (ranked 2<sup>nd</sup>), Finland (ranked 3<sup>rd</sup>), Singapore (ranked 4<sup>th</sup>), Korea (ranked 5<sup>th</sup>), Japan (ranked 6<sup>th</sup>), Taipei China (ranked 9<sup>th</sup>), with a notable exception of Israel (ranked 43<sup>rd</sup>; Malaysia did not participate in the survey). </p>
<p>Compared with the 2006 round, the strongest progress has been recorded in Turkey (especially in Maths and Science), followed by the Kyrgyz Republic and Serbia, while in Azerbaijan the scores have deteriorated most. In Russia, the average score for analytical reading has improved very significantly (see Chart 3).</p>
<table border="1" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td width="473" valign="top"><strong>Chart 3. Changes in the average PISA scores 2006-09</strong></td>
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<td width="473" valign="top"> <a href="http://www.ebrdblog.com/wordpress/wp-content/uploads/2011/03/30_03_11_3.jpg"><img class="alignnone size-medium wp-image-1399" title="30_03_11_3" src="http://www.ebrdblog.com/wordpress/wp-content/uploads/2011/03/30_03_11_3-300x151.jpg" alt="" width="300" height="151" /></a></td>
</tr>
<tr>
<td width="473" valign="top">Source: OECD, authors’ calculations</td>
</tr>
</tbody>
</table>
<p><strong> </strong></p>
<p> <strong>PISA and BEEPS results</strong></p>
<p>It may perhaps seem surprising that countries with better quality of education (as measured by PISA) were often also the countries where firms saw workforce skills as a much more binding obstacle to their operations according to the 2009 rounds of EBRD / World Bank Business Environment and Enterprise Performance Survey (BEEPS) (see Chart 4). In particular, it is in Estonia that businesses feel most constrained by the availability of skilled labour. In fact, this should not be surprising, as the quality of education tends to be higher in richer countries, which in turn tend to be countries with higher share of services and higher-value-added manufacturing in GDP and exports. Businesses in these sectors rely on skills to a greater extent (see Chart 5) and see workforce skills as a particularly important component of the overall business environment.</p>
<p>In sum, better quality of education allows the economy to innovate and grow faster, but this in turn creates a strong demand for even better quality education. This makes improving education one of the key policy priorities across EBRD region, both in countries that lag behind in the global rankings such as PISA and in the leading countries seeking to maintain global competitiveness of their higher-value-added industries. Furthermore, improving the overall level of education is of particular importance for countries aspiring to diversify and modernize their economies through innovation-led growth, such as Kazakhstan and Russia.</p>
<table border="1" cellspacing="0" cellpadding="0">
<tbody>
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<td width="403" valign="top"><strong>Chart 4. Skills as an obstacle vs. PISA average scores</strong></td>
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<tr>
<td width="403" valign="top"> <a href="http://www.ebrdblog.com/wordpress/wp-content/uploads/2011/03/30_03_11_4.jpg"><img class="alignnone size-medium wp-image-1400" title="30_03_11_4" src="http://www.ebrdblog.com/wordpress/wp-content/uploads/2011/03/30_03_11_4-300x174.jpg" alt="" width="300" height="174" /></a></td>
</tr>
<tr>
<td width="403" valign="top">Source: BEEPS survey 2008-09, OECD, authors’ calculations. For definition of relative severity of a constraint see EBRD Transition Report 2010, Chapter 5.</td>
</tr>
</tbody>
</table>
<p><strong> </strong></p>
<table border="1" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td width="581" valign="top"><strong>Chart 5. Skills vs. structure of </strong><strong>GDP</strong><strong> and exports</strong></td>
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<td width="581" valign="top"><strong> <a href="http://www.ebrdblog.com/wordpress/wp-content/uploads/2011/03/30_03_11_5.jpg"><img class="alignnone size-medium wp-image-1401" title="30_03_11_5" src="http://www.ebrdblog.com/wordpress/wp-content/uploads/2011/03/30_03_11_5-300x118.jpg" alt="" width="300" height="118" /></a></strong></td>
</tr>
<tr>
<td width="581" valign="top">Source: BEEPS survey 2008-09, OECD, authors’ calculations</td>
</tr>
</tbody>
</table>
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		<title>Regional Economic Prospects in EBRD Countries of Operations: January 2011</title>
		<link>http://www.ebrdblog.com/wordpress/2011/01/regional-economic-prospects-in-ebrd-countries-of-operations-january-2011/</link>
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		<pubDate>Fri, 28 Jan 2011 12:35:10 +0000</pubDate>
		<dc:creator>Piroska M. Nagy Director for Country Strategy &#38; Policy</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://www.ebrdblog.com/wordpress/?p=1329</guid>
		<description><![CDATA[<p><em>By Piroska Nagy, Franziska Ohnsorge, Peter Sanfey </em></p>
<p><strong>Steady private-sector led growth but increasing downside risks</strong></p>
<p>Our estimate for overall growth in 2010 remains at around 4.2 per cent for the region, with upward revisions in most countries but downward revisions &#8230;</p>]]></description>
			<content:encoded><![CDATA[<p><em>By Piroska Nagy, Franziska Ohnsorge, Peter Sanfey </em></p>
<p><strong>Steady private-sector led growth but increasing downside risks</strong></p>
<p>Our estimate for overall growth in 2010 remains at around 4.2 per cent for the region, with upward revisions in most countries but downward revisions in Russia, Slovenia, Mongolia, and Turkmenistan. The recovery has been increasingly private sector driven as fiscal consolidation was implemented in many countries in the region and the fiscal stimulus measures of 2009, where they had been possible, where not renewed.</p>
<p>During the second half of 2010, external and domestic economic conditions generally improved faster than anticipated. The recovery in the core Eurozone and the US was faster than expected, commodity prices increased (aiding the recovery in commodity-rich countries), remittances out of Russia (Chart 1) strengthened in many countries and credit growth picked up, especially in local currency (Chart 2), while unemployment declined or levelled off. The effects of the benign external environment on the recovery were particularly marked in Central Europe and the Baltics and in Central Asia. However, V-shaped rebounds in Turkey and to some extent also in the Slovak  Republic seem to have run their course, with growth rates settling to more moderate levels. A major summer drought caused damage to agricultural output especially in Russia and to a lesser extent Ukraine, Kazakhstan, and much of the Caucasus. Elsewhere, in Slovenia and much of south-eastern Europe, the recovery continues to be held back by fiscal consolidation measures, which are dampening domestic demand. Growth is estimated to have been negative again in 2010 in Romania and Croatia, although a strong tourist season in the latter has helped to offset weak domestic demand. In Moldova, heavy construction following summer floods has supported stronger than expected growth.</p>
<p>Rising global commodity prices have begun to be reflected in higher headline inflation rates. In most countries, with the exception of Slovenia, Hungary, Turkey and Albania, headline inflation increased between June and November 2010 (see Chart 3). Core inflation, in contrast, typically continued to decline on the back of still modest domestic demand growth except in those countries with one-off effects – e.g. the VAT hike in Romania or a price adjustment among large processed food producers in Serbia.<strong></strong></p>
<p><strong>Outlook</strong></p>
<p>Growth in 2011 is likely to remain reasonably strong – a little over 4 percent on average, with continued regional divergences &#8211; but downside risks have increased. Stronger-than-anticipated growth in the core Eurozone and fiscal and monetary stimuli in the US are likely to especially boost external demand for Central and south-eastern Europe and the Baltics. Given the perceived fragility of the recovery in the US and the persistent difficulties in Eurozone financial markets, global liquidity is expected to remain abundant, with loose monetary policy in advanced countries. This may result in stronger net capital inflows into the region which may strain monetary policy frameworks of the larger and more liquid financial markets in the region (Poland, Turkey and Russia). Abundant global liquidity may also spill over into higher commodity prices, supporting a faster-than-anticipated recovery in Kazakhstan. In most other countries in the region, growth is likely to remain as expected in October 2010.</p>
<p>Risks to this outlook are increasingly tilted to the downside (Chart 5). If loose monetary policies fuel persistently higher advanced country inflation, advanced country central banks may begin to tighten monetary policy sooner than anticipated. In addition, financial sector turmoil surrounding Eurozone sovereign and related bank debt markets may cause a stronger increase in global risk aversion than we have seen so far. Domestic policies, such as moves to cut back on private pension funds (several CEB countries) or the introduction of significant bank taxes (as happened in Hungary and is currently under debate in Romania, for example), could worsen investor sentiment. As a result, recent net capital inflows may reverse rapidly and net FDI inflows – which have remained weak throughout the region except in Eastern Europe and the Caucasus – may dry up, causing sharp exchange rate depreciations or putting pressure on central bank reserves. Given the still high stock of foreign currency loans in most countries in the region, private sector borrowers are vulnerable to sharp depreciations. Market finance of still substantial fiscal deficits in most countries would become more difficult in this case.</p>
<p>An even worse scenario could materialize if currency wars turn into trade wars in the form of import restrictions. Rising food prices and extreme-weather-related food security concerns can also lead to trade restrictions in the absence of global policy coordination. Steps taken by Ukraine and Russia to restrict grain exports following the summer drought are a reminder that trade protectionism continues to be a risk. Much of the region is deeply integrated into global and local production networks or commodity markets. This makes the region particularly vulnerable to a trade shock if protectionist measures become sufficiently wide-spread for global trade to suffer.</p>
<p><a href="http://www.ebrd.com/downloads/research/REP/REP_210111.pdf" target="_blank">Read full report on Regional Economic Prospects</a></p>
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		<title>How will Fiscal Austerity Dampen Growth in 2010-11?</title>
		<link>http://www.ebrdblog.com/wordpress/2010/10/how-will-fiscal-austerity-dampen-growth-in-2010-11/</link>
		<comments>http://www.ebrdblog.com/wordpress/2010/10/how-will-fiscal-austerity-dampen-growth-in-2010-11/#comments</comments>
		<pubDate>Fri, 22 Oct 2010 10:50:30 +0000</pubDate>
		<dc:creator>Franziska Ohnsorge Senior Economist</dc:creator>
				<category><![CDATA[Economic reports and forecasts]]></category>
		<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://www.ebrdblog.com/wordpress/?p=1134</guid>
		<description><![CDATA[<p><em>By Franziska Ohnsorge and Veronika Zavacka</em> </p>
<p><strong>Pre-crisis, underlying fiscal positions of EBRD countries were significantly worse than apparent in headline fiscal deficits. </strong> </p>
<p>Until 2007, many countries in the EBRD region enjoyed high real GDP growth which inflated tax &#8230;</p>]]></description>
			<content:encoded><![CDATA[<p><em>By Franziska Ohnsorge and Veronika Zavacka</em> </p>
<p><strong>Pre-crisis, underlying fiscal positions of EBRD countries were significantly worse than apparent in headline fiscal deficits. </strong> </p>
<p>Until 2007, many countries in the EBRD region enjoyed high real GDP growth which inflated tax revenues and disguised underlying fiscal weaknesses, including weak revenue-raising capacity and unsustainable expenditure increases. To strip out the impact of exceptionally and unsustainably high real GDP growth on fiscal revenues, we calculate cyclically-adjusted “structural” fiscal balances based on a rule of thumb.[1] (These rules of thumb have well-known statistical weaknesses, but these tend to affect all countries similarly such that the patterns below hold also under different assumptions.[2]) </p>
<p>These structural fiscal balances measure how large the fiscal balance in 2007 would have been had real demand been in line with real supply in the economy, i.e. had the output gap been zero. The further above the 45-degree line a country in Chart 1, the worse was its structural fiscal balance compared with its actual fiscal balance in 2007. For example, by our simple measure, Latvia had a headline fiscal <em>surplus </em>of 0.6% of GDP in 2007 compared with a structural <em>deficit </em>of more than 5% of GDP.  </p>
<p><strong>Countries with weaker underlying fiscal positions, especially if combined with currency board arrangements, have put in place more severe fiscal austerity packages for the period 2009-11. </strong> </p>
<p>In Chart 2, larger structural fiscal balances in 2007 are associated with smaller fiscal austerity packages for 2009-2011. The largest austerity packages, on the order of 5-14% of GDP, were announced for the countries with currency boards that entered the crisis with weak underlying fiscal positions. Among countries without more flexible exchange rate regimes, smaller but still substantial fiscal consolidation packages were also implemented. Only a few commodity exporters (Armenia, Azerbaijan, Kazakhstan, and Russia) and some large emerging markets (Poland, Slovakia, and Turkey) were able to afford fiscal stimulus packages in 2009 that did not need to be sharply retrenched in 2010 and 2011.[3]  </p>
<p><a title="View charts" href="http://www.ebrdblog.com/wordpress/wp-content/uploads/2010/10/1.jpg" target="_blank">View chart 1</a><br />
<em>(1. Actual and structural fiscal balance, 2007.  2. Cumulative austerity packages announced for 2009-11 and structural fiscal balance 2007.  Note: The structural fiscal balance assumes a tax revenue multiplier of 1 and uses the HP-filter to derive output gaps.)</em></p>
<p><strong>Austerity has been and will continue to be a heavy drag on growth.[</strong>4] In line with the academic and policy literature, we assume that a 1% of GDP fiscal consolidation reduces real GDP growth by about ¾% over two years—a conservative figure given the fiscal consolidation globally and the limited room for monetary easing in EBRD countries. We also assume that half of this impact is felt in the first year and the remainder in the second year. We apply these assumptions to the announced austerity packages for countries in the EBRD region (Chart 3).  </p>
<ul>
<li>The contraction in real GDP in 2009 reflected more the unwinding of private sector credit booms than fiscal austerity packages; fiscal stimulus packages did little to mitigate the economic contractions.[5]</li>
<li>The impact of the sharp fiscal consolidations in 2009-10 will mostly feed into real GDP growth in 2010 and 2011; this is especially the case in Ukraine, most of Southeastern Europe, and some of the Caucasus, where consolidation packages were mainly implemented in 2010/11. OCE staff projects exports to offset some or all of this contraction as the region benefits from improving competitiveness through either external or internal devaluation. In the Baltics and Hungary, where the bulk of fiscal austerity packages was implemented before 2010, their impact will ebb off in 2011.</li>
<li>As earlier fiscal stimulus is unwound, fiscal consolidation will dampen growth in 2011 also in those countries (commodity exporters and large emerging markets) which implemented a stimulus in 2009. This will be offset by the effect of rising commodity prices increase and capital flows returning to emerging markets with well-developed financial markets. </li>
</ul>
<p> <a href="http://www.ebrdblog.com/wordpress/wp-content/uploads/2010/10/24.jpg" target="_blank">View chart 2</a> <br />
<em>(Impact of fiscal consolidation measures announced for 2009-11 on real GDP growth. Left: 2009, Right: 2010-11. Note: Impact of austerity measures on growth assume a fiscal multiplier of three-quarters over two years, of which about half impacts in the first year and another half in the second year. Azerbaijan excluded in 3a because its growth of around 10% was an outlier.)</em></p>
<hr size="1" />[1] The structural fiscal balance was defined as the actual fiscal balance in per cent of GDP minus a multiplier times the output gap which is constructed using the Hodrick-Prescott (HP) filter on 1990-2011 GDP data from WEO.  Assuming a revenue elasticity of 1, the multiplier is the share of total expenditures in per cent of GDP. For cross-country comparability, the output gap is measured as the difference of real GDP from its HP-filtered real GDP. Although this measure fails to exclude country-specific one-off effects from the structural balance, it has the advantage of being comparable across countries and can be calculated even for countries where available fiscal data is limited. </p>
<p>[2] The HP filter is prone to an end point bias which might lead to overestimating the output gaps in both directions, and hence also the computed structural balances (on the order of 1-2 percentage points of GDP). The output gap is also difficult to estimate around structural breaks, which the financial crisis is likely to be. However, the ranking across countries (and in most cases, the magnitudes) remains constant and the correlations of Charts 1-2 similar even if, for example, forecast horizons are expanded to 2015.</p>
<p>[3] The IMF’s recent study “From Stimulus to Consolidation: Revenue and Expenditure Policies in Advanced and Emerging Europe” by Clements, Perry and Toro mostly relies on changes in structural fiscal balances rather than announced austerity packages. Since estimates of structural fiscal balances tend to be fraught with measurement error as described in footnote 2, especially in emerging market economies, we prefer here to use announced packages to gauge the impact on future growth.</p>
<p>[4] The academic and policy literature typically finds that the effect of fiscal consolidation of 1% of GDP reduces real GDP growth by ¼-1½% over one to two years. For an excellent survey of the literature on fiscal multipliers, see Spilimbergo, Symansky, and Schindler, 2009, “Fiscal Multipliers”, IMF Staff Position Note No. SPN/09/011. This range is again confirmed for advanced countries by the IMF’s most recent <em>World Economic Outlook </em>October 2010, which finds that a fiscal contraction of 1% of GDP reduces growth by 1% but about half of this effect is offset by monetary loosening. The impact is about twice as strong if monetary policy is at the zero bound and if many countries implement consolidation at the same time. How much of this impact is felt in the first and the second year varies across studies. As an approximation, a little over half of the impact is felt in the first year and just under half in the second year.</p>
<p>[5] Only two countries began implementing austerity measures before 2009: Hungary (2007) and Estonia (2008).</p>
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		<title>Intraregional trade: Blessing or Curse?</title>
		<link>http://www.ebrdblog.com/wordpress/2010/10/intraregional-trade-blessing-or-curse/</link>
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		<pubDate>Wed, 06 Oct 2010 10:16:31 +0000</pubDate>
		<dc:creator>Franziska Ohnsorge Senior Economist</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://www.ebrdblog.com/wordpress/?p=1109</guid>
		<description><![CDATA[<p>The region’s export ties have changed fundamentally over the decade—away from the advanced EU15 and towards either regional neighbours or non-EU and non-CIS countries. Especially, the Baltic countries and South Eastern Europe almost doubled the share of within regional exports &#8230;</p>]]></description>
			<content:encoded><![CDATA[<p>The region’s export ties have changed fundamentally over the decade—away from the advanced EU15 and towards either regional neighbours or non-EU and non-CIS countries. Especially, the Baltic countries and South Eastern Europe almost doubled the share of within regional exports over 2000-2008 at the expense of exports with the EU15; similarly, though to a lesser extent, for Central European countries (Chart 1). Other regions (with the exception of Armenia, Kyrgyz Republic, and Ukraine) have diversified their export markets away from the EU, Russia, and the EBRD region as a whole. Turkey, especially, diversified significantly towards new markets.</p>
<div id="attachment_1103" class="wp-caption aligncenter" style="width: 310px"><a href="http://www.ebrdblog.com/wordpress/wp-content/uploads/2010/10/10_11.jpg"><img class="size-medium wp-image-1103 " title="Growing integration within global markets: 2000 and 2008 in retrospect" src="http://www.ebrdblog.com/wordpress/wp-content/uploads/2010/10/10_11-300x111.jpg" alt="" width="300" height="111" /></a><p class="wp-caption-text">Chart 1. Click to view large image</p></div>
<p>The intraregional trade that had been a boon to pre-crisis exports amplified external demand shocks during the crisis and post-crisis. If trading partner real GDP growth is considered as indicative of external demand, global demand contracted by 2 per cent in 2009—and half as much as the contraction in trade-weighted external demand for transition countries (about 4 per cent on average). The Baltic countries faced the sharpest contraction in external demand in the region because about 20% of their exports were to other Baltic countries, which were all in simultaneous deep recessions. Also large was the contraction in external demand in Ukraine, Moldova and Belarus, because about 30% of their exports were to Russia, which had been hit hard and at an early stage by the crisis.Post-crisis, the region suffering most from the feed-back effects of within-regional trade is Southeastern Europe. Again, about 20% of exports of Southeastern European countries are to other countries in the region. Since recessions are continuing in all countries in this region, they face the sharpest contraction in external demand among EBRD countries. In addition, about 2-10% of Southeastern European countries’ exports are to Greece which is itself undergoing a deep recession. CEB countries, with their still heavy reliance on exports to EU15 countries, face a somewhat faster growth in external demand. In contrast, commodity exporters, which were the most diversified away from the EBRD region or the EU15 and towards the rest of the world, face the biggest rebound in external demand, broadly in line with that faced by exporters in Latin America and the Middle East/North Africa (Chart 2). </p>
<div id="attachment_1103" class="wp-caption aligncenter" style="width: 310px"><a href="http://www.ebrdblog.com/wordpress/wp-content/uploads/2010/10/10_11.jpg"><img class="size-medium wp-image-1103 " title="Growing integration within global markets: 2000 and 2008 in retrospect" src="http://www.ebrdblog.com/wordpress/wp-content/uploads/2010/10/10_11-300x111.jpg" alt="" width="300" height="111" /></a><p class="wp-caption-text">Chart 2. Click to view large image</p></div>
<p>Given slow export market growth for non-commodity exporters, more buoyant export growth will need to be generated by gaining market share in export markets. However, while competitiveness is improving, it is improving only slowly—especially in countries where it is achieved by internal devaluations (Chart 3). By end-2009, pre-crisis real appreciations (in unit labor cost terms) had yet to fully unwind in the countries with currency boards or firm exchange rate pegs, especially in Southeastern Europe and the Baltics. In contrast, the competitiveness of exporters in Poland, Hungary, and Turkey, benefited from the steep devaluations in early 2009. The Caucasus, Central Asia, Russia and Ukraine have seen a sharp correction of pre-crisis real appreciations. In several countries, appreciation pressures from capital, remittance, and export revenue inflows are beginning to reverse some of these gains in competitiveness.</p>
<div id="attachment_1106" class="wp-caption aligncenter" style="width: 310px"><a href="http://www.ebrdblog.com/wordpress/wp-content/uploads/2010/10/10-31.jpg"><img class="size-medium wp-image-1106 " title="Real exchange rates (Index Q1 2007=100) 1/" src="http://www.ebrdblog.com/wordpress/wp-content/uploads/2010/10/10-31-300x95.jpg" alt="" width="300" height="95" /></a><p class="wp-caption-text">Chart 3. Click to view large image</p></div>
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		<title>Mongolian microfinance: Some first insights from a randomised field experiment</title>
		<link>http://www.ebrdblog.com/wordpress/2010/02/mongolian-microfinance-some-first-insights-from-a-randomised-field-experiment/</link>
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		<pubDate>Thu, 25 Feb 2010 13:46:42 +0000</pubDate>
		<dc:creator>Ralph De Haas Deputy Director of Research</dc:creator>
				<category><![CDATA[Capital markets]]></category>
		<category><![CDATA[Microfinance]]></category>
		<category><![CDATA[Poverty]]></category>

		<guid isPermaLink="false">http://www.ebrdblog.com/?p=892</guid>
		<description><![CDATA[<p>In Mongolia, as in numerous other countries, microfinance has attracted attention as a potentially powerful tool to generate pro-poor growth. Many Mongolians live in poverty and income disparities between urban and rural areas are significant. The rural economy remains vulnerable &#8230;</p>]]></description>
			<content:encoded><![CDATA[<p>In Mongolia, as in numerous other countries, microfinance has attracted attention as a potentially powerful tool to generate pro-poor growth. Many Mongolians live in poverty and income disparities between urban and rural areas are significant. The rural economy remains vulnerable to variations in weather conditions; droughts and harsh winters often lead to large-scale livestock deaths, also this year. As a result, there is wide-spread migration from the countryside to urban centres, such as the capital Ulaanbataar.</p>
<div id="attachment_903" class="wp-caption alignleft" style="width: 310px"><a href="http://0315f9b.netsolhost.com/wordpress/wp-content/uploads/2010/02/11.jpg"><img src="http://www.ebrdblog.com/wp-content/uploads/2010/02/1-300x225.jpg" alt="Ger dwelling" title="Ger – a portable, felt-covered dwelling – in rural Mongolia" width="300" height="225" class="size-medium wp-image-903" /></a><p class="wp-caption-text">Ger – a portable, felt-covered dwelling – in rural Mongolia</p></div>
<p>Although microfinance has grown rapidly over recent years, hard evidence on its <a href="http://www.povertyactionlab.com/papers/102_Duflo_Spandana_Microlending.pdf">socio-economic impact</a> is <a href="http://www.povertyactionlab.com/papers/122_Karlan_expandingaccess.pdf">only emerging slowly</a>. To what extent does microfinance lift people out of poverty by allowing them to generate income from small-scale enterprises? And is group lending (‘joint-liability’) or individual lending the best way to reach out to borrowers? These are questions that <a href="http://www.xacbank.mn/en/90/about-xacbank/introduction">XacBank</a>, a leading microfinance institution in Mongolia, has been grappling with as well. The bank wanted to expand its outreach to indigent rural borrowers, in particular female ones, who hitherto had only limited access to financial services. But what is the best way to expand lending to such ‘difficult’ customers?</p>
<p>
On the one hand, individual loans may be more suitable in a country in which the nomadic lifestyle may have limited the build up of social capital outside of the family structure. On the other hand, group lending may work well if the looser ties within groups reduce the risk of collusive behaviour. Moreover, since monitoring costs are particularly high – loan officers have to travel extremely large distances to reach remote clients – the reduction of such costs through a group lending structure may be particularly valuable.</p>
<p>
To help XacBank with its strategic decision making and to assess empirically the impact of access to microfinance on small business development and poverty reduction,  a project team at the <a href="http://www.ebrd.com">EBRD </a>(<a href="http://www.voxeu.org/index.php?q=node/3608">Ralph De Haas </a>and <a href="http://www.voxeu.org/index.php?q=node/1024">Heike Harmgart</a>) and the <a href="http://www.ifs.org.uk/">Institute for Fiscal Studies </a>(<a href="http://www.ifs.org.uk/people/profile/13">Orazio Attanasio</a>, <a href="http://www.ifs.org.uk/people/profile/417">Britta Augsburg </a>and <a href="http://www.ifs.org.uk/people/profile?id=30">Emla Fitzsimons</a>) designed a so-called randomised field experiment. The design entails an experimental set up involving 40 soums (villages) across 5 aimags (provinces). Together with the <a href="http://www.mwf.mn/eng/index.php">Mongolian Women’s Federation</a> (MWF) a list was drawn up in each village with the names of relatively poor women who were interested in a XacBank loan to expand or set up a small business. These women were also asked to form preliminary borrowing groups. All 1,148 of them were then interviewed by a survey company in March 2008 (the baseline survey).</p>
<p><div id="attachment_904" class="wp-caption alignleft" style="width: 310px"><a href="http://0315f9b.netsolhost.com/wordpress/wp-content/uploads/2010/02/21.jpg"><img src="http://www.ebrdblog.com/wp-content/uploads/2010/02/2-300x225.jpg" alt="Session of MWF representatives involved in the field experiment" title="Session of MWF representatives involved in the field experiment" width="300" height="225" class="size-medium wp-image-904" /></a><p class="wp-caption-text">Session of MWF representatives involved in the field experiment</p></div>
<p>The 40 soums were then randomly divided into 10 ‘control soums’, 15 ‘group lending soums’ and 15 ‘individual lending soums’. Information from the baseline survey confirmed that the randomisation worked well: the participating women in all three types of villages were on average very similar across a wide range of observable characteristics.</p>
<p>In a next step, all women in group-lending soums were visited by a XacBank loan officer and groups that were deemed credit-worthy were offered a group loan. In the individual lending soums, women were offered an individual loan, while in the control soums XacBank delayed the roll-out of lending for the duration of the experiment. Importantly, when the women signed up to the project it was carefully explained to them that they would only have a 75 per cent change of actually obtaining a loan during the first year (since XacBank would delay the introduction of lending in 10 out of 40 villages).</p>
<p>A follow-up survey was conducted in October/November 2009, about 20 months after the baseline survey. Four interview teams re-interviewed 982 of the initial respondents; a re-interview rate of 86 per cent. This means that for 982 respondents we have detailed information from both the baseline and follow-up surveys on income, consumption and saving patterns, asset ownership, (in)formal enterprises, and exposure to shocks. Respondents were also asked about their <a href="http://ideas.repec.org/a/aea/aecrev/v99y2009i2p87-92.html">income expectations</a> and attitudes towards risk. Finally, novel questions were asked to gauge how well group members knew their co-borrowers, with the aim of allowing us to make inferences about the ‘information asymmetries’ within joint-liability groups. Detailed information was also gathered on the characteristics of villages and loan officers that participated in the experiment, while XacBank provided the project team with comprehensive repayment data on all loans.</p>
<p><div id="attachment_905" class="wp-caption alignleft" style="width: 310px"><a href="http://0315f9b.netsolhost.com/wordpress/wp-content/uploads/2010/02/31.jpg"><img src="http://www.ebrdblog.com/wp-content/uploads/2010/02/3-300x225.jpg" alt="Respondent being interviewed. The stones are used to answer questions about the respondent’s own expectations about her future income." title="Respondent being interviewed. The stones are used to answer questions about the respondent’s own expectations about her future income." width="300" height="225" class="size-medium wp-image-905" /></a><p class="wp-caption-text">Respondent being interviewed. The stones are used to answer questions about the respondent’s own expectations about her future income.</p></div>
<p>The project team is currently combining and analysing all of these data. This should allow us to compare how the respondents in the control soums (no loans offered) and the treatment soums have developed over time. Since the women in the treatment and the control villages were on average very similar before the experiment, differences in their subsequent development and outcomes will only be related to whether or not they received a loan.</p>
<p>This comparative analysis is of particular interest given the global financial crisis, the impact of which was felt in rural Mongolia in the period between the two survey rounds. Cashmere prices dropped by more than one third over a short period of time, adversely affecting many herder families. We hope that our results shed light on the question of whether the availability of microfinance has alleviated – or maybe even increased – rural households’ financial vulnerability during the crisis. Complete results are expected to be available in June of this year and will be summarised on this blog. For now, the data collected during the baseline survey already provide some insights into the state of rural microfinance in Mongolia. Three observations stand out:<br />
First, we find that only 44 per cent of respondents had no outstanding debt at the time of the first interview while 46 per cent already had a loan. Almost ten per cent of respondents even had two or thee loans. Contrary to popular perception, penetration of microcredit was already quite advanced across rural Mongolia, even among our sample of relatively poor women who were selected because of their supposedly limited access to finance.</p>
<p>Second, virtually all respondents with a loan took out that loan in 2007 or 2008. Almost half of the respondents had not had another loan (whether repaid or not) in the last five years. Competition for rural customers – in particular between Khan Bank, XacBank and Mongol Postbank – had intensified in recent years. In our sample, Khan Bank has by far the largest market share: we find that just over one half of those with an outstanding debt owe it to Khan Bank.</p>
<p>Third, we find that between 70 and 80 per cent of the debt outstanding at the start of the experiment was used for consumption purposes and not for financing micro-entrepreneurial activities. This is an important finding since it shows that even though microfinance in rural Mongolia has advanced rapidly in recent years, the vast majority of loans has been used for consumption rather than income-generation. That is not to say that these loans have not been ‘useful’: the ability to smooth consumption is particularly important at low income levels. But it will be interesting to see whether the crisis has impacted households with varying debt levels differently. Moreover, it will be of interest to find out to what extent the individual and group loans disbursed during our experiment, which were intended to finance businesses, have indeed been used for such income generating purposes.</p>
<p>Stay tuned for more…</p>
<p>
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