• Title/Summary/Keyword: Driscoll-Kraay Standard Errors

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Influencing Factors of University Research Grant: Focusing on the Management Capability of Industry-University Collaboration Foundation (대학 연구비 규모의 영향 요인 분석: 산학협력단의 연구비 관리 역량을 중심으로)

  • Jung, Hyejin
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.2
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    • pp.483-491
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    • 2019
  • The aim of this study is to shed light on factors that influence securing of university research grants. For this purpose, this study emphasizes the role of management capability of industry-university cooperation foundation in securing research grants. We analyze whether the potential capabilities influence research grants using panel data from 194 universities during 2016 to 2018. The results obtained from the Driscoll & Kraay standard errors (DKSE) indicate that a number of variables including the portion of industry-university collaboration professors, academic performance of professors, and the number of paid researchers are positively associated with the amount of external research grant approved. However, the percentage of employees employed for less than two years is negatively related with securing external research grants. Once the dependent variable is measured by the total university research grants, the negative coefficient of employees with short-term career disappears. Instead, the percentage of employees who are in charge of research planning and management and the total number of employees involved in industry-university collaboration foundations are negatively related with the total university research grant amounts.

Environmental footprint impacts of nuclear energy consumption: The role of environmental technology and globalization in ten largest ecological footprint countries

  • Sadiq, Muhammad;Wen, Fenghua;Dagestani, Abd Alwahed
    • Nuclear Engineering and Technology
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    • v.54 no.10
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    • pp.3672-3681
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    • 2022
  • This study investigates the environmental footprint impacts of nuclear energy consumption in the presence of environmental technology and globalization of the ten largest ecological footprint countries from 1990 up to 2017. By considering a set of methods that can help solve the issue of cross-sectional dependence, we employ the Lagrange multiplier bootstrap cointegration method, Driscoll-Kraay standard errors for long-run estimation and feasible generalized least squares (FGLS) and panel-corrected standard errors (PCSE) for robustness. The finding revealed significant negative effects of nuclear energy consumption, environmental-related technology, population density and significant positive effects of globalization and economic growth on ecological footprint. These results are also robust by assessing the long-run impacts of predictors on carbon footprint and CO2 emissions as alternate ecological measures. These conclusions provide the profound significance of nuclear energy consumption for environmentally sustainable development in the top ten ecological footprint countries and serve as an important reference for ecological security for other countries globally.

Impacts of Foreign Direct Investment on Human Capital in ASEAN

  • NGUYEN, Hoi Van;NGUYEN, Thuy Thi Thu;TO, Tha Hien;DANG, Duong Quy;Luong, Trang Thi Dai
    • Journal of Distribution Science
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    • v.18 no.9
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    • pp.13-18
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    • 2020
  • Purpose: Research and development of human capital in countries bring sustainable development to the nations. Especially for developing countries, the attraction of foreign direct investment not only brings economic growth to the country but also contributes to improving human capital. This study aims to assess the impact of foreign direct investment on human capital in ASEAN countries. Research design, data and methodology: With data collected from ASEAN countries from 1990 to 2019, panel data analysis is performed with revised model types (the Pooled OLS, Fixed effect model, Random effect model and regression with Driscoll-Kraay standard errors). Result: The results of the regression analysis show that FDI has a positive impact on human capital. At the same time, the study also found that public investment in education also positively affects human capital; the life expectancy factor does not affect human capital. Conclusions: With this research result, the authors also proposed a number of solutions to improve human capital by attracting FDI and improving the efficiency of investment for the education of ASEAN countries. Besides, public expenditure on education also plays an important role in raising human capital. Therefore, investment in education should be promoted further in the future.

Distribution of Factors Affecting Foreign Direct Investment in ASEAN Countries

  • Anh Thi Lan, NGUYEN;Chau Thi Minh, PHAM;Hanh Hong, NGUYEN;Dat Ngoc, NGUYEN;Duy Van, NGUYEN
    • Journal of Distribution Science
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    • v.21 no.2
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    • pp.1-6
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    • 2023
  • Purpose: Research on attracting foreign direct investment plays an important role in ASEAN countries. ASEAN has needed FDI capital for development and integration with many developing countries. Research design, data and methodology: This study is conducted to assess the impact of factors: inflation (INF), economic growth (GDP), population (POP), and trade (TRADE) on attracting foreign direct investment (FDI) of ASEAN countries. The study will find out how factors distribution contributes to FDI attraction. The study collects data from 10 ASEAN countries from 2010 to 2020. With data collected for ten countries from 2010 to 2020, data analysis with panel data will be used in this study. The Regression with Driscoll-Kraay standard errors correction model will be used in the study. Results: Panel data analysis shows that economic growth and population positively impact FDI attraction in ASEAN countries. However, two factors: INF and TRADE, do not affect FDI. Conclusions: Countries need to focus on economic development, create many good conditions for people and domestic enterprises and create opportunities for foreign investors to pay more attention. improving the quality of domestic human resources will help to better improve the working quality factor when the demand for high-quality human resources increases.

Analysis of Factors Affecting Regional Total Fertility Rate: Using a Model Considering Cross-sectional Dependence (지역 합계출산율에 영향을 미치는 요인 분석: 횡단면 의존성을 고려한 모형을 이용하여)

  • So-Youn Kim;Su-Yeol Ryu
    • Asia-Pacific Journal of Business
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    • v.15 no.1
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    • pp.335-352
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    • 2024
  • Purpose - Low fertility rate is a serious problem, and this study analyzes factors affecting total fertility rate using panel data from 16 metropolitan cities and provinces in Korea from 2000 to 2022. Design/methodology/approach - Estimating the SAR model considering the weak cross-sectional dependence that exists in variables related to the regional total fertility rate, and using the DKSE estimation method considering the strong cross-sectional dependence. Findings - Estimation results considering weak and strong cross-sectional dependence were similar, confirming the robustness of the results. Female labor force participation rate has a positive effect on total fertility rate, and employment rate has no effect. However, the interaction term is a negative (-) sign. Crude marriage rate has a positive effect on total fertility rate, and apartment price has a slightly positive effect. Environmental factor has no effect, and policy factor has a negative effect. Research implications or Originality - In order for an increase in the female labor force participation rate to lead to an increase in the total fertility rate, qualitative improvements in female employment must be made. Financial investment policies for childbirth must increase their effectiveness. The problem of low fertility rate requires not only population policy but also social, economic, cultural, environmental, and policy conditions to be considered.