Pollution haven hypothesis (PHH) has been investigated extensively in the existing literature due to global environmental issues such as global warming and climate change. However, there is still no consensus on whether this hypothesis is valid. Therefore, the aim of this study is to examine the validity of the PHH in ASEAN-5 countries (Indonesia, Malaysia, Philippines, Singapore, and Thailand) covering the period of 1981-2014. It is utilized the up-to-date panel data techniques taking cross-sectional dependence and slope heterogeneity into account to test the relationship. According to the results of CCEMG and AMG estimators, the validity of the PHH is confirmed in ASEAN-5 countries. The increase in foreign direct investments (FDI) increases environmental degradation in these countries. Our additional findings show that the environmental Kuznets curve (EKC) hypothesis (EKC) is also valid in these countries. There is an inverted U shape between economic growth and CO2 emissions. In addition, energy consumption exacerbates CO2 emissions.
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http://dx.doi.org/10.1007/s11356-020-08317-y | DOI Listing |
Heliyon
May 2024
Research Centre in Business, Economics & Resources, Ho Chi Minh City Open University, Viet Nam.
The emerging markets in the ASEAN region, such as Indonesia, Malaysia, the Philippines, Thailand and Vietnam, have put great effort into achieving dual objectives: (i) supporting economic growth and (ii) combating environmental degradation simultaneously. These objectively depend on the fast urbanization taking place in these countries. While increased energy consumption from urbanization supports economic growth, urbanization is a key driver of environmental degradation.
View Article and Find Full Text PDFPLoS One
October 2023
Finance Department, College of Business Administration, Prince Sultan University, Riyadh, Saudi Arabia.
The research examines a comovement and spillover of volatility among foreign exchange, conventional and shariah stock markets in Association of South East Asian Nation-5 (ASEAN) countries and Gulf Cooperation Council (GCC) countries. Generalized Autoregressive Conditional Heteroskedasticity-Baba, Engle, Kraft and Kroner (GARCH-BEKK) and Dynamic Conditional Correlation (GARCH-DCC) models are used to capture the correlation and transmission volatility of the markets. The overall results show that both the Shariah and the conventional stock indices respond similarly to each country's currency.
View Article and Find Full Text PDFHeliyon
February 2023
Department of Economics, Faculty of Economics and Business, Universitas Airlangga, Airlangga Street No. 4, Surabaya 60286, Indonesia.
This study aims to investigate the influence of the volatility of exchange rates on manufacturing commodity exports in the ASEAN-5 (Indonesia, Singapore, Thailand, Malaysia, and the Philippines). The study used the ARCH/GARCH, ARDL, and Nonlinear ARDL to determine the symmetrical and asymmetrical influence of the volatility of the exchange rate on manufacturing exports in both the short run and long run. Five leading commodity exports for each of the ASEAN-5 countries were used and analyzed over the period January 2007-March 2019.
View Article and Find Full Text PDFEcon Anal Policy
December 2022
Australian National University, Australia.
Numerous studies have explored the impact of the Covid-19 pandemic on firms' financial performance, but the link between such performance and employment has rarely been estimated rigorously. Using the ASEAN-5 firms' data from Q1-2018 to Q3-2021, this study shows how the pandemic affects firms' revenue, cost, profitability, and employment heterogeneously across countries. It is argued that while revenue losses are the main challenge, widespread and prolonged restrictions in some countries have created extra complications in idle inventories and labour.
View Article and Find Full Text PDFMethodsX
June 2022
Economic Research Institute for ASEAN and East Asia (ERIA), Sentral Senayan ll, 6th Floor, JL. Asia Afrika, No. 8, Gelora Bung Karno, Senayan, Jakarta, Indonesia.
Economies often experience large shocks, necessitating the revision of development indicator forecasts, including Sustainable Development Goals (SDGs) indicators. Many of those, predicted for 2030, require continued monitoring and re-estimation of how great the impact of these shocks will be, e.g.
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