对于资源型区域而言,矿业开发的特殊性和地区经济发展对资源产业的过度依赖,形成了有别于其它地区的独特资源型经济空间特征。非均衡发展造成区域经济差异越来越明显,其必然导致区域经济空间分异的形成与演变。论文利用最小二乘法和地理加权回归法,对以河南省为主体的中原经济区171个县域的经济增长的各项指标进行回归分析,探寻资源型区域空间结构演变的主导因素,揭示资源型区域的经济增长空间分异驱动力。研究表明:形成中原经济区经济增长空间分异的主要驱动力依次是矿业、农业和交通;矿产资源开发利用促进了以郑州为中心的区域经济核心圈层的形成,主要依靠农业来提升经济总量的豫东地区较为贫困,而交通基础建设加强了区域经济空间关联、提升了经济空间集聚速度。最后,给出了资源型区域经济空间结构合理调控的政策建议。
Resource-based regions have unique spatial characteristics because of mining development and excessive dependence on resource industries in regional economic development. Due to trends in regional economic spatial structure, logical organization and distribution of production cannot be configured in accordance with new resource disposition. Due to unbalanced development, regional economic differences become formation and evolution of regional economic spatial more apparent. It will inevitably lead to the differentiation. Here we analyzed the role of resource endowment, factor input, regional development strategy and policy, geographical location, industrialization, urbanization and information in economic spatial structure formation in the Central Plains Economic Region of China. Using ordinary least squares and geographic weighted regression we looked at county economic growth and influencing factors on spatial structure to determine dominant factors in the Central Plains Economic Region. The driving force of economic growth spatial differentiation is determined by the coefficient of variation method. We found that regional county economic growth has spatial association and strong spillovers. For example, the main driving forces of economic growth spatial differentiation are mining (18.78), agriculture (13.43) and transport (7.79). Mineral resource development and utilization promote formation around Zhengzhou as regional economic core circles. Mainly relying on agriculture to enhance the total economy as east Henan is poor. Transportation infrastructure strengthens the regional economic space and accelerates the pace of economic spatial agglomeration in the Central Plains Economic Region. This study provides scientific guidance when transforming regional economic spatial differentiation.