中国制造业“新型化”转型绩效解析
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摘要
以新型工业化发展内涵为依据,通过因子分析方法构建制造业新型化转型绩效评价模型,利用全国30省市2005—2016年制造业年度数据提取了经济推动、技术进步、能源节控、生态保护和社会保障5个公共因子,并分别进行了制造业新型化转型绩效的横向截面对比与纵向时序检验。研究结果表明,样本期内全国层面制造业新型化转型绩效总体上呈稳步提升态势,并形成了较为明显的"三大梯度"形势与"东部引领、中部赶超、西部追赶"发展格局,且具有相对显著的"都市联动效应",但地区之间转型绩效差异较大,转型绩效值较高地区多集中在东部,而进一步发挥政策导向作用、强化区域产业协调发展成为提高制造业新型化转型绩效的关键。
The connotation of the new industrialization was chosen as the research angle of view, and the evaluation model of manufacturing industry to "New Pattern" was constructed based on factor analysis method. Meanwhile, five common factors were extracted by the annual manufacturing data of 30 provinces in China from 2005 to 2016, including economic promotion, technological progress, energy conservation, ecological protection and social security, and then the transformation performance was calculated. Results showed that, the transformation performance was steadily improving, and three major gradients and development pattern of "eastern leading, central catch-up, western pursuit" were formed. Moreover, it also had significant "urban correlation", but there was a greater difference between regions, especially the transformation performance of eastern was higher. Hence, policy orientation and industrial coordination level to be improved was the key to promote the development of manufacturing.
The connotation of the new industrialization was chosen as the research angle of view, and the evaluation model of manufacturing industry to "New Pattern" was constructed based on factor analysis method. Meanwhile, five common factors were extracted by the annual manufacturing data of 30 provinces in China from 2005 to 2016, including economic promotion, technological progress, energy conservation, ecological protection and social security, and then the transformation performance was calculated. Results showed that, the transformation performance was steadily improving, and three major gradients and development pattern of "eastern leading, central catch-up, western pursuit" were formed. Moreover, it also had significant "urban correlation", but there was a greater difference between regions, especially the transformation performance of eastern was higher. Hence, policy orientation and industrial coordination level to be improved was the key to promote the development of manufacturing.
引文
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[8]张峰,薛惠锋.制造业“解锁”能力指数构建及驱动要素测度[J].经济与管理研究,2017,38(2):112-124.
[9]Sahoo M M,Patra K C,Swain J B,et al.Evaluation of water quality with application of Bayes'rule and entropy weight method[J].European Journal of Environmental and Civil Engineering,2017,21(6):730-752.
[10]揭筱纹,罗莹.我国新型制造业的特征及其构建路径研究[J].理论与改革,2016(4):184-188.
[11]DocekalováM P,KocmanováA,Kolenák J.Development of corporate governance performance indicators for Czech manufacturing companies[J].DANUBE:Law and Economics Review,2015(1):57-72.
[2]Haraguchi N,Cheng C F C,Smeets E.The importance of manufacturing in economic development:Has this changed?[J].World Development,2017(93):293-315.
[3]Salem A H,Deif A M.Developing a greenometer for green manufacturing assessment[J].Journal of Cleaner Production,2017(154):413-423.
[4]Thurner T W,Roud V.Greening strategies in Russia's manufacturing-from compliance to opportunity[J].Journal of Cleaner Production,2016(112):2851-2860.
[5]李廉水,程中华,刘军.中国制造业“新型化”及其评价研究[J].中国工业经济,2015(2):63-75.
[6]程中华.产业集聚有利于制造业“新型化”发展吗[J].山西财经大学学报,2015(12):61-71.
[7]周彩红,樊丽君.基于熵权的制造业新型化程度国际比较与预测[J].中国科技论坛,2016(11):141-147.
[8]张峰,薛惠锋.制造业“解锁”能力指数构建及驱动要素测度[J].经济与管理研究,2017,38(2):112-124.
[9]Sahoo M M,Patra K C,Swain J B,et al.Evaluation of water quality with application of Bayes'rule and entropy weight method[J].European Journal of Environmental and Civil Engineering,2017,21(6):730-752.
[10]揭筱纹,罗莹.我国新型制造业的特征及其构建路径研究[J].理论与改革,2016(4):184-188.
[11]DocekalováM P,KocmanováA,Kolenák J.Development of corporate governance performance indicators for Czech manufacturing companies[J].DANUBE:Law and Economics Review,2015(1):57-72.