长江经济带城市协同发展水平测度
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摘要
从收入协同和技术协同的角度分析了中国长江经济带城市协同发展的现状。结果显示:长江经济带城市存在显著的技术协同发展关系,收入上存在一定的区域性差异;分区域看,东部地区在收入协同和技术协同上均表现出很强的协同性,中部地区具有较强的技术协同而收入协同不足,西部地区虽然具有收入协同性和技术协同性,但其程度不如东部地区;分时间段看,在两个时间段内,技术都存在显著的协同性,且技术的协同性在2010-2016年时间段更高,而收入仅在2003-2009年时间段存在显著的协同性,这意味着经济动能在两个时间段发生了转换,技术创新协同对长江经济带经济增长的驱动效应不断增强。
This essay researches on the status quo and policy implications of cooperative development of China's Yangtze River Economic Zone from the perspective of income cooperative development and technological cooperative development.The results show: There is significant technological cooperative development relationship between the cities of Yangtze River Economic Zone,but for income respect,there are still income disparities; From the perspective of region,there is strong cooperative development evidence in east region,strong technology cooperative development but income cooperative development in the middle region,both income and technology cooperative development in west region,but the extent is less than that of east region; From the perspective of two time span,there is significant cooperatives in technology. The cooperative level in technology is higher in 2010-2016,significant cooperative level in per capita GDP only in 2003-2009. This means that the transformation of economic momentum has changed in the two time period,and the driving effect of technological innovation synergy on the economic growth of the Yangtze River Economic Zone is increasing.
This essay researches on the status quo and policy implications of cooperative development of China's Yangtze River Economic Zone from the perspective of income cooperative development and technological cooperative development.The results show: There is significant technological cooperative development relationship between the cities of Yangtze River Economic Zone,but for income respect,there are still income disparities; From the perspective of region,there is strong cooperative development evidence in east region,strong technology cooperative development but income cooperative development in the middle region,both income and technology cooperative development in west region,but the extent is less than that of east region; From the perspective of two time span,there is significant cooperatives in technology. The cooperative level in technology is higher in 2010-2016,significant cooperative level in per capita GDP only in 2003-2009. This means that the transformation of economic momentum has changed in the two time period,and the driving effect of technological innovation synergy on the economic growth of the Yangtze River Economic Zone is increasing.
引文
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[7] Dolores H. The impact of the Great Recession on TFP convergence among EU countries[J]. Working Papers,2017(5):1-4
[8]李卫兵,涂蕾.中国城市绿色全要素生产率的空间差异与收敛性分析[J].城市问题,2017(9):55-63
[9] Sergio J. Rey,Brett D. Montouri. US Regional Income Convergence:A Spatial Econometric Perspective[J]. Regional Studies,1999(2):143-156
[10] Gong Y,Hu J,Boelhouwer P J. Spatial interrelations of Chinese housing markets:Spatial causality,convergence and diffusion[J]. Regional Science&Urban Economics,2016(59):103-117
[11]孙向伟,陈斐,李峰.五大区域经济增长收敛性的动态空间计量分析[J].统计与决策,2017(4):97-102
[12] Baumol W J,Wolff E N. Productivity Growth,Convergence,and Welfare:Reply[J]. American Economic Review,1988(5):1155-1159
[13] Barro R J,Sala-I-Martin X. Convergence Across U. S. States and Regions[J]. Brookings Papers on Economic Activity,1991(1):107-182
[14] Le Sage J P,Pace R K. A sampling approach to estimate the log determinant used in spatial likelihood problems[J]. Journal of Geographical Systems,2009(3):209-225
[15]魏建国,胡绍波,郭晨.收入收敛,技术收敛与区域发展差异———基于中国地级市的空间计量分析[J].华中师范大学学报(人文社会科学版),2017(5):57-65
(1)东部、中部和西部地区划分按照城市所在省市来划分,东部包括上海市、江苏省和浙江省,中部包括安徽省、江西省、湖北省和湖南省,西部包括重庆市、四川省、云南省和贵州省。
[2] Baumol W J. Productivity Growth,Convergence,and Welfare:What the Long-Run Data Show[J]. American Economic Review,1986(5):1072-1085
[3] Dowrick S,Nguyen D T. OECD Comparative Economic Growth1950-1985:Catch-Up and Convergence.[J]. American Economic Review,1989(5):1010-1030
[4] Bernard A B,Jones C I. Comparing apples to oranges:productivity convergence and measurement across industries and countries[J]. American Economic Review,2001(5):1216-1238
[5]彭国华.中国地区收入差距、全要素生产率及其收敛分析[J].经济研究,2005(9):19-29
[6] Burda M C,Severgnini B. Total Factor Productivity Convergence in German States since Reunification:Evidence and Explanations[J]. Journal of Comparative Economics,2017(1):192-211
[7] Dolores H. The impact of the Great Recession on TFP convergence among EU countries[J]. Working Papers,2017(5):1-4
[8]李卫兵,涂蕾.中国城市绿色全要素生产率的空间差异与收敛性分析[J].城市问题,2017(9):55-63
[9] Sergio J. Rey,Brett D. Montouri. US Regional Income Convergence:A Spatial Econometric Perspective[J]. Regional Studies,1999(2):143-156
[10] Gong Y,Hu J,Boelhouwer P J. Spatial interrelations of Chinese housing markets:Spatial causality,convergence and diffusion[J]. Regional Science&Urban Economics,2016(59):103-117
[11]孙向伟,陈斐,李峰.五大区域经济增长收敛性的动态空间计量分析[J].统计与决策,2017(4):97-102
[12] Baumol W J,Wolff E N. Productivity Growth,Convergence,and Welfare:Reply[J]. American Economic Review,1988(5):1155-1159
[13] Barro R J,Sala-I-Martin X. Convergence Across U. S. States and Regions[J]. Brookings Papers on Economic Activity,1991(1):107-182
[14] Le Sage J P,Pace R K. A sampling approach to estimate the log determinant used in spatial likelihood problems[J]. Journal of Geographical Systems,2009(3):209-225
[15]魏建国,胡绍波,郭晨.收入收敛,技术收敛与区域发展差异———基于中国地级市的空间计量分析[J].华中师范大学学报(人文社会科学版),2017(5):57-65
(1)东部、中部和西部地区划分按照城市所在省市来划分,东部包括上海市、江苏省和浙江省,中部包括安徽省、江西省、湖北省和湖南省,西部包括重庆市、四川省、云南省和贵州省。