ArticleEnvironmental science and pollution research international2020
Analysis of the spillover effect of energy intensity among provinces in China based on space-time lag model.
Article in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Spatial Analysis on the Role of Multi-Dimensional Urbanizations in Carbon Emissions: Evidence from China.International journal of environmental research and public health · 2022Article
- Industrial Co-Agglomeration and Air Pollution Reduction: An Empirical Evidence Based on Provincial Panel Data.International journal of environmental research and public health · 2021Article
- Empirical analysis of energy consumption transfer in China's national economy from the perspective of production and demand.Environmental science and pollution research international · 2021Article
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3 authors.
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Abstract
Based on inter-provincial energy intensity data in China from 1996 to 2016, using the model combining STIRPAT and dynamic SDM analyzes energy intensity and its influencing factors under the conditions of spatial lag, time lag, and space-time lag. Considering endogenous issues, it then explores the basic characteristics of energy intensity in space and its path dependence. The results show that spatial distribution of energy intensity in China is uneven and generally shows a pattern of decreasing from northwest to southeast. Energy intensity itself has a significant spillover effect, which can affect neighboring regions through pollution heaven effect and pollution halo effect. It can also be reduced as a result of the joint effect of driving factors. Economic development level, foreign direct investment, and technological progress have significant effects on reducing energy intensity, while industrial structure and urbanization rate increase it. The difference among driving factors lies in spatial spillover effect, and the short-term indirect effect is greater than the long-term one. Therefore, the key to realize China mode of green development is to promote factors of reducing energy intensity brought into full play and the inhibitory factors effectively controlled.
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