空间视角下资源型城市转型效率差异演化及影响因素分析——以东北地区资源型城市为例
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摘要
资源型城市为我国建立独立完整的工业体系做出了卓越的历史贡献,随着资源的逐渐枯竭,其转型成了振兴东北地区发展的必由之路。文章在运用改进后的动态DEA模型测量各城市转型效率的基础上,使用空间探索分析(ESDA)法和空间计量模型,对资源型城市转型效率演化及空间效应进行了相关研究。研究结果表明:我国东北地区的资源型城市转型取得了一定的成效,但转型极不平衡,现阶段我国在转型效率上陷入了瓶颈期;我国东北地区资源型城市转型效率的空间溢出效应明显、空间结构随转型阶段提升而不断优化;产业结构是制约东北地区资源型城市转型的重要因素;在不同阶段影响资源型城市转型效率的因素存在一定的差异性,现阶段影响我国城市资源转型的主要因素为城市产业结构、金融资本、政府行政效率以及对外开放程度。
Resource-based cities have made outstanding historical contributions to the establishment of an independent and complete industrial system in China. With the exhaustion of resources,its transformation is the only way to revitalize the development of the Northeast. Based on the improved dynamic DEA model to measure the transformation efficiency of each city,the paper uses spatial exploration analysis(ESDA)method and spatial measurement model to study the transformation efficiency and spatial effect of resource-based urban transformation. The conclusions are as follows:The transformation of resourcebased cities in Northeast China has achieved certain results,but the transition is extremely unbalanced. At present,China has fallen into a bottleneck period in transformation efficiency.The spatial spillover effect of the transformation efficiency of resource-based cities in Northeast China is obvious,and the spatial structure is continuously optimized as the transformation phase increases.Industrial structure is an important factor restricting the transformation of resource-based cities in Northeast China.There are certain differences in the factors affecting the transformation efficiency of resource-based cities at different stages. The main factors affecting the transformation of urban resources in China at this stage are:urban industrial structure,financial capital,government administrative efficiency and degree of openness.
Resource-based cities have made outstanding historical contributions to the establishment of an independent and complete industrial system in China. With the exhaustion of resources,its transformation is the only way to revitalize the development of the Northeast. Based on the improved dynamic DEA model to measure the transformation efficiency of each city,the paper uses spatial exploration analysis(ESDA)method and spatial measurement model to study the transformation efficiency and spatial effect of resource-based urban transformation. The conclusions are as follows:The transformation of resourcebased cities in Northeast China has achieved certain results,but the transition is extremely unbalanced. At present,China has fallen into a bottleneck period in transformation efficiency.The spatial spillover effect of the transformation efficiency of resource-based cities in Northeast China is obvious,and the spatial structure is continuously optimized as the transformation phase increases.Industrial structure is an important factor restricting the transformation of resource-based cities in Northeast China.There are certain differences in the factors affecting the transformation efficiency of resource-based cities at different stages. The main factors affecting the transformation of urban resources in China at this stage are:urban industrial structure,financial capital,government administrative efficiency and degree of openness.
引文
[1]李虹.中国资源型城市转型预警指数[M].北京:商务印书馆,2017.
[2]LUCAS R A. MinetownMilltown Railtown:Life in Canadian Communities of Single Industry[M]. Torronto:University ofToronto Press,1971.
[3]MARSH B.Continuity and decline in the a nthracite towns of Pennsylvania[J]. Annals of theAssociation ofAmeri-canGeographers,1987,77(3):337-352.
[4]O F’AIRCHEALLAIGH C. Economic base and employment structure in northern territory mining towns[J]. Resource Co-munities of Economic Geography,1988,27(2):221-236.
[5]BRADBURY J H. The impact of industrial cycles in the mining setter[J]. International Journal of Urban and Regional Research,1988,8(3):311-331.
[6]耿玉德,张朝辉.基于二次相对评价的伊春林业资源型城市经济转型效率测度[J].林业科学,2013,49(7):150-157.
[7]白雪洁,汪海凤,闫文凯.资源衰退、科教支持与城市转型——基于坏产出动态SBM模型的资源型城市转型效率研究[J].中国工业经济,2014(11):30-43.
[8]张荣光,钱崇斌,王相悦.基于熵权—TOPSIS法的资源型城市低碳转型效率研究——以攀枝花市为例[J].学海,2016(4):158-162.
[9]周民良.东北地区“再振兴”战略下资源型城市转型发展研究[J].经济纵横,2015(8):58-63.
[10]张生玲,李跃,酒二科,等.路径依赖、市场进入与资源型城市转型[J].经济理论与经济管理,2016,36(2):14-27.
[11]徐君,李巧辉,王育红.供给侧改革驱动资源型城市转型的机制分析[J].中国人口·资源与环境,2016,26(10):53-60.
[12]曾坚,张彤彤.新常态下资源型城市经济转型问题、对策及路径选择[J].理论探讨,2017(1):81-86.
[13]周鹏,白永平,马卫,等.中国资源型城市可持续发展效率空间格局演变及其影响因素[J].中国沙漠,2016,36(5):1489-1495.
[14]杨显明,焦华富,许吉黎.不同发展阶段煤炭资源型城市空间结构演化的对比研究——以淮南、淮北为例[J].自然资源学报,2015,30(1):92-105.
[15]沈明,沈镭,钟帅,等.基于生态敏感条件的中国资源型城市去产能空间格局优化[J].资源科学,2016,38(10):1962-1974.
[16]陈妍,梅林.东北地区资源型城市转型过程中社会——经济——环境协调演化特征[J].地理研究,2018(2):307-318.
[17]白俊红,蒋伏心.协同创新、空间关联与区域创新绩效[J].经济研究,2015(7):174-187.
[18]TONE K,TSUTSUI M. Dynamic DEA with network structure:A slacks-based measure approach[J].Omega,2014,42(1):124-131.
[19]林光平,龙志和,吴梅.我国地区经济收敛的空间计量实证分析:1978-2002年[J].经济学:(季刊),2005,4(S1):71-86.
[20]李婧,谭清美,白俊红.中国区域创新生产的空间计量分析——基于静态与动态空间面板模型的实证研究[J].管理世界,2010(7):43-55.
[21]张军,吴桂英,张吉鹏.中国省际物质资本存量估算:1952—2000[J].经济研究,2004(10):35-44.
[22]ELHORST J P. Unconditional Maximum Likelihood Estimation of Linear and Log-Linear Dynamic Models for Spatial Panels[J]. Geographical Analysis,2005,37(1):85-106.
[23]谭俊涛.基于演化弹性理论的东北地区资源型城市转型研究[D].北京:中国科学院大学,2017.
(1)由于此处只涉及模型选取及稳健性分析,则只罗列出我们研究的主要变量回归结果,控制变量系数及劳动要素矩阵(W3)回归结果未罗列,如有需要向作者索取。参考文献:
[2]LUCAS R A. MinetownMilltown Railtown:Life in Canadian Communities of Single Industry[M]. Torronto:University ofToronto Press,1971.
[3]MARSH B.Continuity and decline in the a nthracite towns of Pennsylvania[J]. Annals of theAssociation ofAmeri-canGeographers,1987,77(3):337-352.
[4]O F’AIRCHEALLAIGH C. Economic base and employment structure in northern territory mining towns[J]. Resource Co-munities of Economic Geography,1988,27(2):221-236.
[5]BRADBURY J H. The impact of industrial cycles in the mining setter[J]. International Journal of Urban and Regional Research,1988,8(3):311-331.
[6]耿玉德,张朝辉.基于二次相对评价的伊春林业资源型城市经济转型效率测度[J].林业科学,2013,49(7):150-157.
[7]白雪洁,汪海凤,闫文凯.资源衰退、科教支持与城市转型——基于坏产出动态SBM模型的资源型城市转型效率研究[J].中国工业经济,2014(11):30-43.
[8]张荣光,钱崇斌,王相悦.基于熵权—TOPSIS法的资源型城市低碳转型效率研究——以攀枝花市为例[J].学海,2016(4):158-162.
[9]周民良.东北地区“再振兴”战略下资源型城市转型发展研究[J].经济纵横,2015(8):58-63.
[10]张生玲,李跃,酒二科,等.路径依赖、市场进入与资源型城市转型[J].经济理论与经济管理,2016,36(2):14-27.
[11]徐君,李巧辉,王育红.供给侧改革驱动资源型城市转型的机制分析[J].中国人口·资源与环境,2016,26(10):53-60.
[12]曾坚,张彤彤.新常态下资源型城市经济转型问题、对策及路径选择[J].理论探讨,2017(1):81-86.
[13]周鹏,白永平,马卫,等.中国资源型城市可持续发展效率空间格局演变及其影响因素[J].中国沙漠,2016,36(5):1489-1495.
[14]杨显明,焦华富,许吉黎.不同发展阶段煤炭资源型城市空间结构演化的对比研究——以淮南、淮北为例[J].自然资源学报,2015,30(1):92-105.
[15]沈明,沈镭,钟帅,等.基于生态敏感条件的中国资源型城市去产能空间格局优化[J].资源科学,2016,38(10):1962-1974.
[16]陈妍,梅林.东北地区资源型城市转型过程中社会——经济——环境协调演化特征[J].地理研究,2018(2):307-318.
[17]白俊红,蒋伏心.协同创新、空间关联与区域创新绩效[J].经济研究,2015(7):174-187.
[18]TONE K,TSUTSUI M. Dynamic DEA with network structure:A slacks-based measure approach[J].Omega,2014,42(1):124-131.
[19]林光平,龙志和,吴梅.我国地区经济收敛的空间计量实证分析:1978-2002年[J].经济学:(季刊),2005,4(S1):71-86.
[20]李婧,谭清美,白俊红.中国区域创新生产的空间计量分析——基于静态与动态空间面板模型的实证研究[J].管理世界,2010(7):43-55.
[21]张军,吴桂英,张吉鹏.中国省际物质资本存量估算:1952—2000[J].经济研究,2004(10):35-44.
[22]ELHORST J P. Unconditional Maximum Likelihood Estimation of Linear and Log-Linear Dynamic Models for Spatial Panels[J]. Geographical Analysis,2005,37(1):85-106.
[23]谭俊涛.基于演化弹性理论的东北地区资源型城市转型研究[D].北京:中国科学院大学,2017.
(1)由于此处只涉及模型选取及稳健性分析,则只罗列出我们研究的主要变量回归结果,控制变量系数及劳动要素矩阵(W3)回归结果未罗列,如有需要向作者索取。参考文献:
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