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ID:
168669
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| Summary/Abstract |
Rapid urbanization consumes a variety of energy increasingly. The impacts of urbanization on energy consumption in the past decades have not been investigated by sectors in the literature. Using the time series energy and urbanization related data 1997–2016, this study aims to investigate the impacts of urbanization and its interaction with six energy demand sectors on (disaggregated) energy consumption at provincial level in China by integrating the spatial panel data modelling and interaction effects modelling methods. The positive spatial autocorrelation of various energy consumptions justifies the rationale of developing spatial Durbin models. All the diversified direct, indirect and total effects from differently specified models suggest regional and sectoral specific policy to control energy, coal and electricity consumption in the process of urbanization.
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| 2 |
ID:
116520
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| Publication |
2012.
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| Summary/Abstract |
This paper investigates the spatial structure of the provincial economic growth and the spatial spillover in China from 1998 to 2008. First, we apply Moran's index to detect the positive spatial autocorrelations across the provinces of China. Second, we build a new economic geography model and the role of market potential in promoting regional income growth is highlighted. Third, two measures of market potential are constructed and a spatial error model is adopted to obtain the estimations, considering spatial autocorrelation. Controlling for major inputs, such as labor, capital, and human capital, the market potential continues to promote substantial regional growth. On average, an increase of 10 percentage points in the market potential increases the regional GDP per capita growth by 3-5 percentage points.
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