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An autoregressive distributed lag (ARDL) model is applied to examine the short and long-run relationships among foreign direct investment (FDI), economic growth, and the environment in China and India. We find that, for China, FDI tends to deteriorate environmental quality in both the short- and...
Persistent link: https://www.econbiz.de/10012942718
For many developing nations, foreign direct investment inflows remain crucial for economic development. The levels of FDI inflows in Zimbabwe, have remained relatively low as compared to other developing nations. The study seeks to analyse the impact of various Ease of Doing Business Indicators...
Persistent link: https://www.econbiz.de/10012934575
Can green growth policies help protect the environment while keeping the industry growing and infrastructure expanding? This study applies Auto-Regressive Distributed Lag (ARDL) method on the 50-years' time series data, from 1967 to 2015, of Kitakyushu City, Japan, and found mixed evidence for...
Persistent link: https://www.econbiz.de/10012865070
This paper estimates that the macroeconomic damages from climate change are six times larger than previously thought. We exploit natural variability in global temperature and rely on time-series variation. A 1°C increase in global temperature leads to a 12% decline in world GDP. Global...
Persistent link: https://www.econbiz.de/10014544728
This research presents first empirical time series evidence of the impact of international trade on environmental quality in the case of transition countries. The linkages between international trade and environmental quality are well established both theoretically and empirically in the...
Persistent link: https://www.econbiz.de/10012983450
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We study soft persistence (existence in subsequent temporal layers of motifs from the initial layer) of motif structures in Triangulated Maximally Filtered Graphs (TMFG) generated from time-varying Kendall correlation matrices computed from stock prices log-returns over rolling windows with...
Persistent link: https://www.econbiz.de/10012860326
This paper proposes strategies to detect time reversibility in stationary stochastic processes by using the properties of mixed causal and noncausal models. It shows that they can also be used for non-stationary processes when the trend component is computed with the Hodrick-Prescott filter...
Persistent link: https://www.econbiz.de/10013533248