20 research outputs found

    Environmental consequences of economic growth and foreign direct investment: evidence from panel data analysis

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    This paper is aimed at investigating non-linear relationship between foreign direct investment and environmental degradation using panel data of 110 developed and developing economies. The results indicated that environmental Kuznets curve exists and foreign direct investment increases environmental degradation.Economic Growth, FDI, Environment

    How Financial Stability Affects Economic Development in South Asia: A Panel data Analysis

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    This study examines the relationships between economic development and financial stability in five South Asian economies, namely Pakistan, India, Bangladesh, Sri Lanka and Nepal over the period of 1980-2012. Human Development Index (HDI) is used to measure economic development calculated using the goalposts based on south Asian data. While financial stability is measured by constructing an aggregate financial stability index (AFSI) that combines various indicators relating to financial sector development, vulnerability and banking soundness. We employ Pedroni panel cointegration technique to examine long-run relationship between variables. Empirical evidence confirms the long-run relationship between selected variables. Results estimated by employing Fully Modified OLS (FMOLS) show that financial stability is an essential factor for improving the process of economic development in South Asian countries. Causality analysis indicates that economic development Granger cause financial stability in South Asia

    How Financial Stability Affects Economic Development in South Asia: A Panel data Analysis

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    This study examines the relationships between economic development and financial stability in five South Asian economies, namely Pakistan, India, Bangladesh, Sri Lanka and Nepal over the period of 1980-2012. Human Development Index (HDI) is used to measure economic development calculated using the goalposts based on south Asian data. While financial stability is measured by constructing an aggregate financial stability index (AFSI) that combines various indicators relating to financial sector development, vulnerability and banking soundness. We employ Pedroni panel cointegration technique to examine long-run relationship between variables. Empirical evidence confirms the long-run relationship between selected variables. Results estimated by employing Fully Modified OLS (FMOLS) show that financial stability is an essential factor for improving the process of economic development in South Asian countries. Causality analysis indicates that economic development Granger cause financial stability in South Asia

    How Do Financial Globalization, Institutions and Economic Growth Impact Financial Sector Development in European Countries?

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    This paper examines the role of financial globalization, institutions and economic growth on the development of financial sector in European countries. We use panel data covering the period of 1989-2016. Using the composite index of financial development covers various dimensions of financial market, that is, depth, access and efficiency and four-way classification of institutions as suggested by Rodrick (2005) and Law et al. (2018), the empirical results indicate that economic growth and institutional quality are positively associated with financial development. Contrarily, financial globalization hinders the process of financial sector development. The results are robust to using alternative proxies of economic growth, institutional indicators and capturing the period of financial crisis. These empirical findings suggest policy guidelines to develop financial sector by using globalization, institutional quality and economic growth as economic tools

    Environmental consequences of economic growth and foreign direct investment: evidence from panel data analysis

    Get PDF
    This paper is aimed at investigating non-linear relationship between foreign direct investment and environmental degradation using panel data of 110 developed and developing economies. The results indicated that environmental Kuznets curve exists and foreign direct investment increases environmental degradation

    Environmental consequences of economic growth and foreign direct investment: evidence from panel data analysis

    Get PDF
    This paper is aimed at investigating non-linear relationship between foreign direct investment and environmental degradation using panel data of 110 developed and developing economies. The results indicated that environmental Kuznets curve exists and foreign direct investment increases environmental degradation

    The Interaction between Globalization and Financial Development: New Evidence from Panel Co-integration and Causality Analysis

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    The paper studies the impact of globalization on financial development in a sample of 32 developed and developing economies over the period 1989-2012. Indicators of financial development include three banking indicators (private sector credit, domestic credit, and liquid liabilities) and three indicators of stock market development (value traded, turnover ratio and stock market capitalization), all relevant to GDP. Two panel estimation methodologies are under consideration: panel co-integration and panel VAR. The findings reveal that financial development affects economic growth and globalization positively. Globalization helps mobilize economic growth, but does not help financial development as it helps increase access to external financing. Quality institutions do not impact financial development although the latter increases incentives for better quality institutions in support of sustainable growth

    ACTUAL INTAKE VERSES RECOMMENDED INTAKE AMONGST FEMALE ADOLESCENTS

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    Background: The study was conducted to determine the dietary intake patterns of young females and to compare them with recommended servings. It was a descriptive quantitative study, in which a total of 100 girls of age 18-22 years participated from the Kinnaird College for Women, Lahore. Methods: Data was collected by taking dietary recall of the previous day using a 24 recall form. A food frequency questionnaire was also handed out to determine the dietary intake patterns and in order to validate the 24 hour recall. Before giving them a four day food diary which was collected after four days, they were explained about the serving sizes of different foods. Results: Approximately 50% of the respondents met the requirements of the food groups with the exception of vegetable group as only 2 % were taking according to the standards. When the validity of 24 hour with the food diary was checked, the insignificant p values being more than 0.05 indicated that their daily consumption was similar to the 24 hour recall. Conclusions: There should be more focus on eating a well balanced diet. Half of the young female adults are meeting the recommendations of the food groups with the exception of vegetable groups. It was concluded that the individuals had wrong perceptions about portion sizes and serving sizes thus awareness programs should also focus on that. A revised tool for the implementation of the dietary guidelines was recommended

    Exploring the time and frequency domain connectedness of oil prices and metal prices

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    © 2019 Elsevier Ltd This paper explores the time and frequency domain connectedness between oil prices and metal prices for the period of 1980M1-2017M5. We employ DECO-GARCH model for equi-correlation among commodity under consideration, Diebold and Yilmaz (2014), for time domain, and Barunik and Krehlik (2017), for frequency domain (i.e., frequencies considered are: 1–4 months, 4–8 months, 8–15 months and more than 15 months) connectedness measures. The dynamic connectedness is examined by applying a rolling window method in time and frequency domain. Besides, network plots are also made based on the pair-wise net connectedness between the variables. The results for time domain analysis show that the overall connectedness of the system has been just 3.39%. The empirical results of frequency domain connectedness show that total connectedness varies at different frequencies. The maximum contribution is observed at short-term frequency, (1–4 months; 1.65%) and the lowest contribution at medium-term frequency (8–15 months; 0.45%.). The contribution from the highest frequency, which corresponds to more than 15 months’ period, is just 0.56%. The network analysis shows that Zinc is net receiver
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