Effects of FDI on trade among countries along the Belt and Road: A network perspective
In: Journal of international trade & economic development: an international and comparative review, Band 32, Heft 1, S. 84-103
ISSN: 1469-9559
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In: Journal of international trade & economic development: an international and comparative review, Band 32, Heft 1, S. 84-103
ISSN: 1469-9559
In: Land use policy: the international journal covering all aspects of land use, Band 121, S. 106336
ISSN: 0264-8377
In: Journal of transport and land use: JTLU, Band 12, Heft 1
ISSN: 1938-7849
This paper evaluates the economic benefits of high-speed rail (HSR) in China, with a focus on the connectivity change resulting from HSR development. The effect of HSR, measured in degree centrality, is assessed using a spatial econometric modeling technique based on a panel dataset that covers 268 Chinese cities from 2008-2015. To provide a robust assessment, statistical issues including heterogeneous effects, endogeneity, and spatial dependence are addressed simultaneously in the spatial panel modeling process. Our empirical results confirm that connectivity improvement brought by HSR plays a vital role in facilitating economic growth. Specifically, the contribution of HSR to urban economic growth is found to be 0.11, most of which comes from a local effect rather than a spillover effect. Overall, the research findings suggest that urban economic growth can benefit from the development of HSR.
This paper addresses the effect of population urbanization on Fine Particulate (PM(2.5)) in the Yangtze River Economic Belt in China from 2006 to 2016 by employing PM2.5 remote sensing data and using the Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) model. The study contributes to the growing empirical literature by addressing heterogeneity, spillover, and dynamic effects in the dynamic spatial panel modeling process simultaneously. The empirical results show that population urbanization has a significant impact on PM(2.5) with a positive spillover effect and a dynamic effect being detected and controlled. The heterogeneity effects of population urbanization on PM(2.5) due to geographical positions show evidence of an obvious inverted U-shaped curve relationship in the upstream area and an increasing function curve in the midstream and downstream areas. The heterogeneity effects due to population urbanization levels show that an inverted N-shape curve relationship exists in low and medium urbanization level areas, while a U-shape curve relationship exists in high urbanization level areas. It is hoped that this study will inform the local governments about the heterogeneity of population urbanization and spillover effects of air pollution when addressing air pollution control.
BASE
In: Emerging markets, finance and trade: EMFT, Band 55, Heft 14, S. 3166-3177
ISSN: 1558-0938