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  <title>DSpace Collection:</title>
  <link rel="alternate" href="https://mt.osce-academy.kg/handle/123456789/11" />
  <subtitle />
  <id>https://mt.osce-academy.kg/handle/123456789/11</id>
  <updated>2025-11-13T09:22:03Z</updated>
  <dc:date>2025-11-13T09:22:03Z</dc:date>
  <entry>
    <title>The Effect of Net Capital Outflow on Unemployment Rate in the OECD Countries 2000–2016</title>
    <link rel="alternate" href="https://mt.osce-academy.kg/handle/123456789/107" />
    <author>
      <name>Ataev, Ulugbek</name>
    </author>
    <id>https://mt.osce-academy.kg/handle/123456789/107</id>
    <updated>2021-03-30T12:13:53Z</updated>
    <published>2018-01-01T00:00:00Z</published>
    <summary type="text">Title: The Effect of Net Capital Outflow on Unemployment Rate in the OECD Countries 2000–2016
Authors: Ataev, Ulugbek
Abstract: Ongoing assumptions on deterioration of the domestic labor market due to capital&#xD;
outflow in the form of FDI are, today, one of the highly disputed areas in economics.&#xD;
Hence, we decided to conduct an empirical research, namely, macroeconomic analysis on&#xD;
studying actual effects of net outward capital on domestic unemployment level of the&#xD;
developed OECD countries. In details, we selected 35 sample countries from the&#xD;
member countries of the OECD and examined them through 17 years period that falls&#xD;
within 2000 - 2016. For our econometric investigation, we built a dynamic panel data for&#xD;
the sampled countries and period based on the WB statistics. Moreover, we constructed&#xD;
our econometric model based on the previously studied works and by including new&#xD;
control variables in order to derive robust empirical results upon regression. Namely,&#xD;
unemployment rate of the OECD member countries was our dependent variable; whereas,&#xD;
such variables as net outward FDI in current billion USD, population growth, inflation&#xD;
rate, dummy variable that captured major effects of financial crisis on unemployment&#xD;
rates in 2008 – 2013, and 1 year lagged variable of our dependent variable were applied&#xD;
as independent variables for our model. Furthermore, we examined our model through&#xD;
one-step GMM Arellano-Bover/Blundell-Bond estimation method. Thus, on the basis of&#xD;
our regression results, it is found that net FDI outflow positively affects on home labor&#xD;
markets of the developed countries, whereas the rest independent variables have shown&#xD;
the opposite trends. Consequently, having provided the forecasted outcome, our focused&#xD;
independent variable net FDI outflow served to prove the set alternative (Ha) hypothesis;&#xD;
whereas, the null hypothesis (H0) has been rejected within our model.</summary>
    <dc:date>2018-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Economic Impact of Institutional Quality on Environmental Performance in Post-Soviet Countries</title>
    <link rel="alternate" href="https://mt.osce-academy.kg/handle/123456789/106" />
    <author>
      <name>Abduqayumov, Shukrillo</name>
    </author>
    <id>https://mt.osce-academy.kg/handle/123456789/106</id>
    <updated>2021-03-30T12:13:53Z</updated>
    <published>2018-01-01T00:00:00Z</published>
    <summary type="text">Title: Economic Impact of Institutional Quality on Environmental Performance in Post-Soviet Countries
Authors: Abduqayumov, Shukrillo
Abstract: Maintaining the balance between economic growth and environmental performance is a&#xD;
new trend of challenges for developing countries. The Economic Impact of Institutional&#xD;
Quality on Environmental Performance is analyzed from 2001 to 2017 using&#xD;
multinational panel data for 15 Post Soviet-Countries. This research investigates the&#xD;
relationship between the indicators of institutional quality as government effectiveness&#xD;
and regulatory quality on environmental performance, and this research is first of its&#xD;
kind utilizing a comprehensive indicator for environmental performance, for example,&#xD;
EPI as an empirical paper for post-Soviet-Countries. We utilize an instrumental variable&#xD;
method in Generalized Method of Moments, in order to introduce dynamics and then&#xD;
check for endogeneity. Two WGI indicators are utilized to find each indicators impact on&#xD;
environmental performance. Also incorporating GDP Per Capita, Industrial&#xD;
Manufacturing, Industry Efficiency, Urbanization, and Secondary Education impact on&#xD;
Environmental Performance. The study results on institutional quality are significant and&#xD;
show a strong positive impact on environmental performance. Economic growth and&#xD;
secondary education show a negative significant association. Industrial manufacturing&#xD;
found to be insignificant, while urbanization shows a strong positive relationship with&#xD;
environmental performance.</summary>
    <dc:date>2018-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Macroeconomic and Bank Specific Determinants of Non-Performing Loans in Tajikistan Banking Sector</title>
    <link rel="alternate" href="https://mt.osce-academy.kg/handle/123456789/105" />
    <author>
      <name>Faqerov, Sattor</name>
    </author>
    <id>https://mt.osce-academy.kg/handle/123456789/105</id>
    <updated>2021-03-30T12:13:53Z</updated>
    <published>2018-01-01T00:00:00Z</published>
    <summary type="text">Title: Macroeconomic and Bank Specific Determinants of Non-Performing Loans in Tajikistan Banking Sector
Authors: Faqerov, Sattor
Abstract: The problem of non-performing loans (NPLs) is one of the factors that&#xD;
negatively affect the soundness of the banking sector. This paper investigates to detect&#xD;
the determinants of non-performing loans (NPLs) of Tajikistan for a sample of eleven&#xD;
banks and five microcredit deposit organizations for the period of 2010-2017. In&#xD;
terms of credit portfolio and total assets, these five microcredit deposit organizations&#xD;
are more active and existing for a long time than other credit institutions. From 2010&#xD;
to 2017, the ratio of NPLs in Tajikistan has experienced high growth. Additionally, an&#xD;
increase of non-performing loans deteriorated on-time customer service of the&#xD;
banking system, detrimentally affected financial stability of the whole banking sector&#xD;
in Tajikistan. Due to these issues, this paper investigates the impact of&#xD;
macroeconomic and bank-specific factors on the ratio of NPLs. The analysis is based&#xD;
on a sample of 16 financial institutes for over period of 8 years, and Generalized&#xD;
Method of Moments estimator for dynamic panel models is used. NPL to total loans is&#xD;
the dependent variable, and macroeconomic variables are money supply (LnM2) and&#xD;
remittances (LnRemit). Moreover, bank-specific variables like lagged NonPerforming Loans, Return on Assets, Loan to Total Assets, Capital Adequacy Ratio,&#xD;
and Total Assets will be used as independent variables. The outcome of estimation&#xD;
found that all macroeconomic variables significantly have an effect to loan losses and&#xD;
except total assets, the rest of the bank-specific variables significantly impact to the&#xD;
NPL ratio.</summary>
    <dc:date>2018-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>The Impact of Trade Facilitation Measures on Bilateral Trade Flows of Middle-Income and Central Asian Countries for the Year of 2016</title>
    <link rel="alternate" href="https://mt.osce-academy.kg/handle/123456789/104" />
    <author>
      <name>Sulaimanov, Sanzhar</name>
    </author>
    <id>https://mt.osce-academy.kg/handle/123456789/104</id>
    <updated>2021-03-30T12:13:53Z</updated>
    <published>2018-01-01T00:00:00Z</published>
    <summary type="text">Title: The Impact of Trade Facilitation Measures on Bilateral Trade Flows of Middle-Income and Central Asian Countries for the Year of 2016
Authors: Sulaimanov, Sanzhar
Abstract: This paper observed the relationship between trade facilitation measures that are&#xD;
expressed through the OECD Trade Facilitation Indices and the bilateral trade flows&#xD;
(exports and imports) of the Middle-Income Countries (MICs) for the year of 2016. The&#xD;
author chose 110 MICs because CA and CIS countries fall into the category. The author&#xD;
used the OECD database along with the UN Comtrade (BACI) database in his Gravity&#xD;
model of trade flows. The author used the Heckman Maximum Likelihood estimation&#xD;
strategy with restrictions on common language, colony ties, and common colonizer.&#xD;
The findings indicate that there is a positive and significant effect between the&#xD;
improvement in the TFIs and the increase in trade flows. The author has combined&#xD;
quantitative for trade of the MICs and the qualitative research of customs efficiency of&#xD;
the CA countries. The qualitative research covered the time span from 2016 to 2018.&#xD;
The analysis shows that in order to improve the situation with the customs on the&#xD;
border, it is necessary to upgrade infrastructure, conduct capacity building for the staff,&#xD;
and reform the chain-of-command system. Detailed results can be found in the end of&#xD;
the thesis.</summary>
    <dc:date>2018-01-01T00:00:00Z</dc:date>
  </entry>
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