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Impact of Technological Progress on Urban-Rural Income Gap: A Test Based on Interprovincial Panel Data Dynamic Spatial Econometric Model |
SUN Yue1, ZHAO Qing2, 3 |
1. College of Marxism, Dongbei University of Finance and Economics, Dalian, Liaoning, 116025; 2. Dalian College of Business Executives, Dalian, Liaoning 116086; 3. Antai College of Economics and Management, Shanghai Jiaotong University, Shanghai, 200230 |
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Abstract In theory, technological progress has a “double-edged sword effect” on the income gap between urban and rural areas. On one hand, technological progress can promote fair development, promote economic equity, and guarantee distributive justice. On the other, due to uneven distribution of scientific and technological resources resulting from China’s “urban-rural dual structure”, the more developed technology is, the more likely it is to increase the urban-rural income gap. The dynamic spatial lag model and dynamic spatial error model are used to empirically test the impact of technological progress on urban-rural income gap. The findings show that urban-rural income gap varies greatly among provinces. In terms of time, it has obvious path-dependent characteristics and shows “Matthew effect”. In terms of space, it is significantly related to geography, and there is a positive spatial spillover effect, showing the inter-provincial linkage phenomenon. With the gradual introduction of time factors, spatial factors and control variables, technological progress can significantly curb widening urban-rural income gap, and narrowing urban-rural income gap can promote technological progress. The two are in an “alternate counteraction” relationship.
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Received: 20 November 2018
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[1] 陈斌开,林毅夫.发展战略、城市化与中国城乡收入差距[J].中国社会科学,2013,(4):81-102. [2] 欧阳志刚. 中国城乡经济一体化的推进是否阻滞了城乡收入差距的扩大[J]. 世界经济, 2014, (2):116-135. [3] 余菊, 刘新. 城市化、社会保障支出与城乡收入差距——来自中国省级面板数据的经验证据[J]. 经济地理, 2014, 34(3):79-84. [4] 穆怀中, 吴鹏. 城镇化、产业结构优化与城乡收入差距[J]. 经济学家, 2016,(5):37-44. [5] 丁志国, 赵晶, 赵宣凯,等. 我国城乡收入差距的库兹涅茨效应识别与农村金融政策应对路径选择[J]. 金融研究, 2011, (7):142-151. [6] 胡晶晶, 黄浩. 二元经济结构、政府政策与城乡居民收入差距——基于中国东、中、西部地区省级面板数据的经验分析[J]. 财贸经济, 2013, 34(4):121-129. [7] 吕炜, 番绍立, 樊静丽,等. 我国农民工市民化政策对城乡收入差距影响的实证研究——基于CGE模型的模拟分析[J]. 管理世界, 2015, (7):170-171. [8] Xie Y, Zhou X.Income inequality in today's China[J]. Proceedings of the National Academy of Sciences of the United States of America, 2014, 111(19):6928-6933. [9] Christiaensen L, Todo Y.Poverty Reduction During the Rural-Urban Transformation - The Role of the Missing Middle[J]. World Development, 2014,(63):43-58. [10] 郑万吉,叶阿忠.城乡收入差距、产业结构升级与经济增长——基于半参数空间面板VAR模型的研究[J].经济学家,2015,(10):61-67. [11] Munshi K, Rosenzweig M.Networks and Misallocation: Insurance,Migration, and the Rural-Urban Wage Gap[J].American Economic Review,2013,106(1):46-98. [12] 温涛, 王小华, 董文杰. 金融发展、人力资本投入与缩小城乡收入差距——基于中国西部地区40个区县的经验研究[J].吉林大学社会科学学报, 2014,(2):27-36. [13] 张伟, 陶士贵. 人力资本与城乡收入差距的实证分析与改善的路径选择[J].中国经济问题, 2014,(1):70-80. [14] Chua K K, Limkin L, Nye J, et al.Urban-rural income and wage gaps in the Philippines: measurement error, unequal endowments, or factor market failure?[J]. Philippine Review of Economics, 2015, 52(2): 1-21. [15] 刘玉光, 杨新铭, 王博. 金融发展与中国城乡收入差距形成——基于分省面板数据的实证检验[J]. 南开经济研究, 2013,(5):50-59. [16] 杨楠, 马绰欣. 我国金融发展对城乡收入差距影响的动态倒U演化及下降点预测[J]. 金融研究, 2014,(11):175-190. [17] 冷艳丽, 冼国明, 杜思正. FDI与城乡收入差距——基于交通基础设施视角的分析[J].云南财经大学学报, 2017,(1):63-73. [18] 景守武, 陈红蕾. FDI、产业结构升级对我国城乡居民收入差距的影响:基于省际面板数据分析[J].世界经济研究, 2017,(10):55-64. [19] 曾鹏, 吴功亮, 张晓君.技术进步、城市化与城乡收入差距关系研究——基于中国城市群的经验分析[J].华东经济管理, 2016, 30(2):64-70. [20] 马磊. 人力资本结构、技术进步与城乡收入差距——基于中国2002-2013年30个省区面板数据的分析[J].华东经济管理, 2016,30(2):56-63. [21] 涂涛涛,李谷成.中国农业技术进步与城乡收入差距——基于要素报酬视角的解析[J].江西财经大学学报, 2017,(4):73-82. [22] 龙少波, 黄林, 胡国良. 技术引进、金融发展与城乡居民收入差距[J].经济问题, 2015,(5):32-38. [23] 潘竟虎. 中国地级及以上城市城乡收入差距时空分异格局[J].经济地理, 2014,34(6):60-67. [24] 王建康, 谷国锋, 姚丽. 城市化进程、空间溢出效应与城乡收入差距——基于2002-2012年省级面板数据[J].财经研究, 2015,41(5):55-66. [25] 苏治,徐淑丹.中国技术进步与经济增长收敛性测度——基于创新与效率的视角[J].中国社会科学,2015,(7):4-25. [26] 王俊, 胡雍.中国制造业技能偏向技术进步的测度与分析[J].数量经济技术经济研究,2015,(1):82-96. [27] Kumar S, Raizada A, Biswas H, et al.Assessing the impact of watershed development on energy efficiency in groundnut production using DEA approach in the semi-arid tropics of southern India[J]. Current Science, 2015, 109(10):1831-1837. [28] Tone K.Dealing with undesirable outputs in DEA: A slacks-based measure (SBM) approach[R]. GRIPS Research Report Series,2003. [29] 王伟,孙芳城.高技术产业三阶段创新效率变动研究——基于内部非期望产出的SBM模型与EBM模型[J].科技进步与对策, 2018,(3):67-71. [30] 陈宇峰, 朱荣军. 中国区域R&D资本存量的再估算:1998-2012[J]. 科学学研究, 2016, 34(1):69-80. [31] 王淑英, 张水娟, 王文坡. R&D投入与区域创新能力关系及溢出效应分析——金融发展的调节作用[J]. 科技进步与对策, 2018,(2):39-46. [32] Elhorst J P.Matlab Software for Spatial Panels[J].International Regional Science Review, 2015,37(3):389-405. [33] 卢冲,刘媛, 江培元.产业结构、农村居民收入结构与城乡收入差距[J].中国人口·资源与环境,2014,163(s1):147-150. [34] 邵帅,李欣,曹建华等.中国雾霾污染治理的经济政策选择——基于空间溢出效应的视角[J].经济研究,2016,(9):73-88. [35] 龙海明,凌炼,谭聪杰等.城乡收入差距的区域差异性研究——基于我国区域数据的实证分析[J].金融研究,2015,(3):83-96. |
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