(The) impact of foreign direct investment on the economic growth [전자자료] : the case of Kyrgyz Republic and compare with Kazakhstan, Tajikistan, Turkmenistan and Uzbekistan
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085 | 0 | ▼a 0510 ▼2 KDCP |
090 | ▼a 0510 ▼b 6X6 ▼c 1948 | |
100 | 1 | ▼a Tentimisheva, Akylai |
245 | 1 1 | ▼a (The) impact of foreign direct investment on the economic growth ▼h [전자자료] : ▼b the case of Kyrgyz Republic and compare with Kazakhstan, Tajikistan, Turkmenistan and Uzbekistan / ▼d Tentimisheva Akylai |
260 | ▼a Seoul : ▼b Graduate School of International Studies, Korea University, ▼c 2023 | |
300 | ▼a 전자책 1책(vi, 29 p.) | |
500 | ▼a 지도교수: 곽도원 | |
500 | ▼a 본표제는 표제면 이미지의 표제임 | |
502 | 0 | ▼a 학위논문(석사)-- ▼b 고려대학교 국제대학원, ▼c 국제학과, ▼d 2023. 2 |
504 | ▼a 참고문헌 수록 | |
653 | ▼a Economic Growth ▼a GDP ▼a Foreign Direct Investment | |
900 | 1 0 | ▼a 텐티미시바, 아킬라이, ▼e 저 |
900 | 1 0 | ▼a 곽도원, ▼g 郭度源, ▼d 1975-, ▼e 지도교수 ▼0 AUTH(211009)151708 |
900 | 1 0 | ▼a Kwak, Do Won, ▼e 지도교수 |
945 | ▼a ITMT | |
991 | ▼a E-Book(학위논문) ▼w (DCOLL211009)000000270871 |
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1 | (The) impact of foreign direct investment on the economic growth [전자자료] : the case of Kyrgyz Republic and compare with Kazakhstan, Tajikistan, Turkmenistan and Uzbekistan (22회 열람) |
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Contents information
Abstract
Foreign direct investment remarkably effects the economic growth of the country. A modernized industry and an increase in product output can help achieve this. Kyrgyzstan is a developing and newly independent country of the Former Soviet Union (FSU) and has been keen on luring foreign direct investment. This study's goal is to determine how foreign direct investments affect economic growth in Kyrgyzstan and also compare it with Kazakhstan (KAZ), Tajikistan (TJK), Turkmenistan (TKM) and Uzbekistan (UZB). This study aims to find out an appropriate model that can explain the impact of foreign direct investments on economic growth in Kyrgyzstan and compare with the mentioned countries. The variables used were GDP growth (LGDP) as a dependent, foreign direct investment (LFDI), secondary school enrollment (SEDU), financial development indicator: ATMs per 100,000 adults (FD) and Institutional Indicators are control of corruption (CC) regulatory (RQ) and rule of law (RL) and the country dummy for Kyrgyzstan as independent variables. The data used were ranging from 2000 to 2020 and were obtained from WDI (World Development Indicators). The Panel Data Regression with a Fixed Effect Model approach (FEM) without interaction and with interaction was the methodology used in this study. In the without-interaction fixed effect model foreign direct investment (FDI), secondary school enrollment, and financial development (FD: ATMs per 100,000 adults) have a positive and significant impact (p-value < 0.05) on the GDP of the mentioned countries from 2000 to 2020. In the with interaction fixed effect model foreign direct investment (FDI) has a positive and significant effect on GDP of Kyrgyzstan in the study period, furthermore, if we see the p-value of interaction (Interaction of FDI and country dummy), the effect of FDI on GDP growth in Kazakhstan, Tajikistan and Turkmenistan are the same as the base country (Kyrgyzstan), only the effect of FDI on GDP in Uzbekistan is 20.59 percent more than Kyrgyzstan by each 100 percent change in FDI. And also, secondary school enrollment and financial development (FD: ATMs per 100,000 adults) have a positive and significant impact (p-value < 0.05) on the GDP of the mentioned countries from 2000 to 2020 in both models. But the institution indicators (control of corruption, regulatory quality, and rule of law) do not have any significant influence on the gross domestic product (GDP) of Kyrgyzstan, Kazakhstan, Tajikistan, Turkmenistan, and Uzbekistan in the study period of 2000-2020 in both models.
Table of Contents
Chapter one 1 I. Introduction 1 1.1 Objective of the study 2 1.2 Research question 2 1.3 Hypothesis 2 Chapter Two 3 II. LITERATURE REVIEW 3 2.1 Theoretical Framework 3 Definition of Foreign Direct Investment 3 FDI in Kyrgyz Republic 3 2.2 Previous Studies 4 Chapter three 8 III. Methodology 8 3.1 Data 8 3.2 Empirical Models 9 3.3 Estimating Panel Data Regression Model 10 - CEM (Common Effect Models) 11 - FEM (Fixed Effect Model) 11 - REM (Random Effect Models) 12 3.4 Selecting Panel Data Regression Model 13 - Chow test 13 - Lagrange Multiplier (Bruch-Pegan) test 13 - Hausman test 13 3.5 Robustness tests 14 - Heteroscedasticity test 14 - Autocorrelation test 15 - Residual normality 15 - Cross-Sectional Dependence test 15 Chapter Four 16 IV. Analysis 16 4.1. Variables 16 4.2. Estimating Panel Data Regression Model 16 4.2.1. Common Effect Model 17 4.2.2. FEM (Fixed Effect Model) 18 4.2.3. REM (Random Effect Models) 19 4.3. Model Selection for Panel Data Regression 19 4.3.1 Model Estimation using the FEM 21 4.4. Classical Assumptions Test 21 4.5. Final model of the research 22 - Result interpretation of Fixed Effect model part 1: 22 - Results interpretation of Fixed Effect model part 2 23 Chapter Five 25 V. Conclusion 25 Policy Recommendation 27 Bibliography 28