电子及通讯设备制造业集聚对其全要素生产率影响研究
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摘要
基于2009~2015年的中国省级面板数据,使用DEA-Malmquist指数测算电子及通讯设备制造业的全要素生产率,研究了电子及通讯设备制造业集聚对其全要素生产率的影响。研究结果表明:电子及通讯设备制造业的专业化集聚与其全要素生产率之间呈倒"U"型关系,最优的专业化集聚规模在0.7左右,控制变量的加入会导致最优的专业化集聚规模产生小范围的波动,但结果维持在0.7~0.75之间;将全要素生产率分解为技术进步(TECHCH),纯技术效率(PECH)和规模效率(SECH)之后,三项对全要素生产率的影响都显著为正,就影响程度来看规模效率>技术进步>纯技术效率。
Based on China's provincial panel data from 2009 to 2015, the DEA-Malmquist index was used to measure total factor productivity of the electronics and communication equipment manufacturing industry. Impact of the manufacturing concentration of electronics and communications equipment on its total factor productivity was studied. The conclusions of this paper are as follows: there is a significant inverse U-shaped relationship between the specialized agglomeration of electronics and communications equipment manufacturing and its total factor productivity. The addition of control variables will lead small-scale fluctuations to the optimal specialization. The result was between 0.7 and 0.75. After factoring the total factor productivity into TECHCH, PECH and SECH, the impact of the three on total factor productivity was significantly positive. SECH>TECHCH>PECH in terms of impact.
Based on China's provincial panel data from 2009 to 2015, the DEA-Malmquist index was used to measure total factor productivity of the electronics and communication equipment manufacturing industry. Impact of the manufacturing concentration of electronics and communications equipment on its total factor productivity was studied. The conclusions of this paper are as follows: there is a significant inverse U-shaped relationship between the specialized agglomeration of electronics and communications equipment manufacturing and its total factor productivity. The addition of control variables will lead small-scale fluctuations to the optimal specialization. The result was between 0.7 and 0.75. After factoring the total factor productivity into TECHCH, PECH and SECH, the impact of the three on total factor productivity was significantly positive. SECH>TECHCH>PECH in terms of impact.
引文
[1]李小建.经济地理学[M].2版.北京:高等教育出版社,2006.
[2]成刚.数据包络分析与Max DEA软件[M].北京:知识产权出版社,2014.
[3]Chia-Lin Chang,Les Oxley.Industrial agglomeration,geographic innovation and total factor productivity:The case of Taiwan[J].Mathematics and Computers in Simulation,2009,79(9):2787-2796.
[4]范剑勇,冯猛,李方文.产业集聚与企业全要素生产率[J].世界经济,2014(5):51-73.
[5]吴明琴,童碧如.产业集聚与企业全要素生产率:基于中国制造业的证据[J].产经评论,2016(7):30-44.
[6]杨浩昌,李廉水,刘军.高技术产业聚集对技术创新的影响及区域比较[J].科学学研究,2016(2):212-219.
[7]Ren Lu,Min Ruan,Torger Reve.Cluster and co-located cluster effects:An empirical study of six Chinese city regions[J].Research Policy,2016(12):1984-1995.
[8]王弓,叶蜀君.金融产业集聚对新型城镇化影响的理论与实证研究[J].管理世界,2016(1):174-175.
[9]孙慧,朱俏俏.中国资源型产业集聚对全要素生产率的影响研究[J].中国人口资源与环境,2016(1):121-130.
[10]Glaeser.E L,Kallal H D.Growth in cities[J].Journal of Political Economy,1995,103(5):1065-1090.
[11]杨清可,段学军.基于DEA-Malmquist指数模型的高技术产业发展效率的时空测度与省际差异研究[J].经济地理,2014(7):103-110.
[12]陈劲,梁靓,吴航.开放式创新背景下产业集聚与创新绩效关系研究——以中国高技术产业为例[J].科学学研究,2013(4):623-629.
[13]罗雨泽,罗来军,陈衍泰.高新技术产业TFP由何而定?——基于微观数据的实证分析[J].管理世界,2016(2):8-18.
[14]申香华.成长空间、盈亏状况与营利性组织财政补贴绩效——基于2003~2006年河南省和江苏省上市公司的比较研究[J].财贸经济,2010(9):64-69.
[2]成刚.数据包络分析与Max DEA软件[M].北京:知识产权出版社,2014.
[3]Chia-Lin Chang,Les Oxley.Industrial agglomeration,geographic innovation and total factor productivity:The case of Taiwan[J].Mathematics and Computers in Simulation,2009,79(9):2787-2796.
[4]范剑勇,冯猛,李方文.产业集聚与企业全要素生产率[J].世界经济,2014(5):51-73.
[5]吴明琴,童碧如.产业集聚与企业全要素生产率:基于中国制造业的证据[J].产经评论,2016(7):30-44.
[6]杨浩昌,李廉水,刘军.高技术产业聚集对技术创新的影响及区域比较[J].科学学研究,2016(2):212-219.
[7]Ren Lu,Min Ruan,Torger Reve.Cluster and co-located cluster effects:An empirical study of six Chinese city regions[J].Research Policy,2016(12):1984-1995.
[8]王弓,叶蜀君.金融产业集聚对新型城镇化影响的理论与实证研究[J].管理世界,2016(1):174-175.
[9]孙慧,朱俏俏.中国资源型产业集聚对全要素生产率的影响研究[J].中国人口资源与环境,2016(1):121-130.
[10]Glaeser.E L,Kallal H D.Growth in cities[J].Journal of Political Economy,1995,103(5):1065-1090.
[11]杨清可,段学军.基于DEA-Malmquist指数模型的高技术产业发展效率的时空测度与省际差异研究[J].经济地理,2014(7):103-110.
[12]陈劲,梁靓,吴航.开放式创新背景下产业集聚与创新绩效关系研究——以中国高技术产业为例[J].科学学研究,2013(4):623-629.
[13]罗雨泽,罗来军,陈衍泰.高新技术产业TFP由何而定?——基于微观数据的实证分析[J].管理世界,2016(2):8-18.
[14]申香华.成长空间、盈亏状况与营利性组织财政补贴绩效——基于2003~2006年河南省和江苏省上市公司的比较研究[J].财贸经济,2010(9):64-69.