Does the “resource curse” have a spatial spillover effect? Evidence from China

Chengyu Li, Qunwei Wang and Peng Zhou

Resources Policy, 2023, vol. 81, issue C

Abstract: This paper measure the degree of resource curse in China by an improved resource curse index model. To investigate the spatial agglomeration characteristics, influencing factors and spatial spillover effects of resource curse based on the spatial statistical model. The results of the research show that: (1) the resource curse in China is deep but presents a good downwards trend and is being alleviated. There are significant differences in the degree of resource curse between regions and provinces. Most regions and provinces show a declining trend. (2) The spatial agglomeration of China's resource curse is clear. Forming a “resource curse club” with Shanxi, Shaanxi, Ningxia, Qinghai and Inner Mongolia as the core. (3) Environmental regulation, technological innovation, industrial agglomeration, human capital and urbanization level are the main factors that alleviate the resource curse. While foreign direct investment and industrial structure are the main factors that exacerbate resource curse. (4) The spatial spillover effect of the resource curse is very significant, and the resource curse of local provinces will be affected by the resource curse of neighbouring provinces. The spatial spillover effects of industrial structure, human capital, foreign direct investment, and technological innovation are significant.

Keywords: Resource curse; ESDA method; Spatial Durbin model; Influence factor; Spatial spillover effect (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jrpoli:v:81:y:2023:i:c:s0301420723001289

DOI: 10.1016/j.resourpol.2023.103420

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