经济新常态下制造业全要素生产率的区域比较研究——基于福建省2001—2015年的面板数据
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摘要
基于福建省2001—2015年间制造业的面板数据,论文采用Cobb-Douglas生产函数模型测算了福建省各地区制造业的全要素生产率。结果显示,福建省制造业全要素生产率平均值为17.47%,劳动的平均贡献率为40.67%,资本的平均贡献率为36.90%,说明福建省制造业主要还是依靠要素投入为主,集约化程度偏低;从地区差异情况来看,虽然厦门、福州、泉州、漳州的全要素生产率要比龙岩、南平及宁德地区相对较高些,但劳动投入的贡献率依然偏高。
Based on the panel data of manufacturing industry of Fujian Province from 2001 to 2015, the Cobb-Douglas production function model was used to evaluate the total factor productivity(TFP) of different regions of Fujian Province.The results show that the average TFP of manufacturing industry of Fujian Province is 17.47%, the average contribution rate of labor is 40.67%, and the average contribution rate of capital is 30.69%, showing that the development of manufac-turing industry of Fujian to some extent contribute to the inputfactors and the degree of intensification is still to be im-proved. Although the TFP of Xiameng, Fuzhou, Quanzhou, Zhangzhou are relatively higher than that of Longyan, Nanping,Ningde, but the average contribution rate of labor is still quite higher.
Based on the panel data of manufacturing industry of Fujian Province from 2001 to 2015, the Cobb-Douglas production function model was used to evaluate the total factor productivity(TFP) of different regions of Fujian Province.The results show that the average TFP of manufacturing industry of Fujian Province is 17.47%, the average contribution rate of labor is 40.67%, and the average contribution rate of capital is 30.69%, showing that the development of manufac-turing industry of Fujian to some extent contribute to the inputfactors and the degree of intensification is still to be im-proved. Although the TFP of Xiameng, Fuzhou, Quanzhou, Zhangzhou are relatively higher than that of Longyan, Nanping,Ningde, but the average contribution rate of labor is still quite higher.
引文
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[2]吕延方,王冬.承接外包对中国制造业全要素生产率的影响[J].数量经济技术经济研究,2010(11):66-83.
[3] SOLOW R M. Technical change and the aggregate production function[J]. Review of Economics&Statistics,1957(3):554-562.
[4] JORGENSON D W, GRILICHES Z. The explanation of productivity change[J].Review of Economic Studies,1967(3):249-283.
[5] AIGNER D J,LOVELL C A K,SCHMIDT P. Formulation and estimation of stochastic frontier profunction function models[J]. Journal of Econometrics,1977(6):21-37.
[6] SCHMIDT L P. Formulation and estimation of stochastic frontier production function models[J]. Journal of Econometrics,1977(1):21-37.
[7] CHARNES A, COOPER W W, LEWIN A Y, et al. Data envelopment analysis:theory, methodology, and application[J].1997(3):332-333.
[8] FUKAOA K, ITOC K, KWONA H U. Do out-in M&As bring higher TFP to Japan? An empirical analysis based on micro-data on Japanese manufacturing firms[J]. Journal of the Japanese&International Economies,2004(2):272-301.
[9] HIGON D A. The impact of R&D spillovers on UK manufacturing TFP:A dynamic panel approach[J].Research Policy, 2007(7):964-979.
[10] AMITI M,WEI S J. Service off shoring, productivity, and employment:Evidence from the United States[J].IM F Working Paper, 2005(5):238.
[11] KRUGER J J.The sources of aggregate productivity growth:U.S.Manufacturing Industries,1958—1996[J].Bulletin of Economic Research,2008(4):405-427.
[12]杨桂元,王莉莉.我国制造业技术进步、技术效率及区域差异——基于DEA方法的实证研究[J].技术经济, 2008(1):110-115.
[13]司传宁,付宏华.对外开放、技术差距与全要素生产率——基于我国制造业行业面板数据的半参数估计[J].东岳论丛,2015(5):75-80.
[14]林孔团,魏下海.福建制造业全要素生产率变动的实证研究——来自34个细分行业的经验证据[J].福建师范大学学报(哲学社会科学版),2010(2):40-45.
[15]段晓庆.广东省制造业全要素生产率的实证研究[J].特区经济,2010(2):37-38.
[16]杨文爽,李春艳.东北地区制造业全要素生产率增长率分解研究[J].当代经济研究,2015(4):87-93.
[17]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.