商业研究

商业研究

• 产业经济 • 上一篇    下一篇

中国装备制造业全要素生产率时空特征 ——基于三种空间权重矩阵的分析

唐晓华，陈阳   

  1. 辽宁大学 经济学院，沈阳 110036
  • 收稿日期:2016-12-08 出版日期:2017-04-18
  • 作者简介:唐晓华（1956-），男，广西桂林人，辽宁大学经济学院教授，博士生导师，经济学博士，研究方向：产业组织；陈阳（1988-），男，山东临沂人，辽宁大学经济学院博士研究生，研究方向：产业集聚。
  • 基金资助:
    教育部哲学社会科学研究重大课题攻关项目“中国先进制造业发展战略研究” ，项目编号：14JD018；辽宁省教育厅高校人才支持计划项目，项目编号：WR2015006。

Temporal and Spatial Characteristics of Total Factor Productivity in Chinese Equipment Manufacturing Industry-An Analysis based on Three Spatial Weight Matrices

TANG Xiao-hua, CHEN Yang   

  1. School of Economics, Liaoning University, Shenyang 110036, China
  • Received:2016-12-08 Online:2017-04-18

摘要： 基于综合地理距离因素、经济因素和嵌套权重考察装备制造业全要素生产率可能更接近客观事实的认识，本文利用SBM超效率模型，并以邻接、经济、嵌套三种不同空间权重矩阵考察1999-2014年间我国装备制造业全要素生产率的时空分布特征，以此区分我国装备制造业生产效率不同水平的空间集聚特点。结果表明：我国装备制造业全要素生产率在省际层面存在较大差距，且东部地区要远远领先中、西部地区；变化趋势以增长为主要特征，其中，中西部地区明显增长，东部地区出现下降；在邻接和经济权重下具有空间正相关特点，而在嵌套权重下呈现负相关倾向反映出地理因素作用减弱、经济因素作用增强；三种权重表现出略有差异的空间集聚特征，且均具有显著的空间结构化特点。

关键词: 装备制造业, 全要素生产率, 时空特征, 空间权重

Abstract: Based on the comprehensive geographic distance factors, economic factors and nested weights, the paper makes an analysis of the total factor productivity of equipment manufacturing industry, which is closer to the objective facts, and estimates the temporal and spatial distribution characteristics of TFP in Chinese equipment manufacturing industry from 1999 to 2014 by using the SBM super-efficiency model, and three different spatial weight matrices: adjacency, economy, nesting, to distinguish characteristics of spatial agglomeration of different levels of production efficiency in Chinese equipment manufacturing industry. The results show that there is a large gap between the TFP of equipment manufacturing industry at the provincial level, and the eastern region is far ahead of the middle and western regions; the trend of change is mainly characterized by growth, among which, the central and western regions increased significantly but the eastern region declined; the equipment manufacturing industry has spatial positive correlation under the adjacency and economic weight, but has negative correlation tendencies under the nested weight, reflecting the weakening of geographical factors and the enhancement of economic factors; the three kinds of weights showed a slight difference in spatial agglomeration characteristics, and all had significant spatial optimization characteristics.

Key words: equipment manufacturing industry, TFP, spatial-temporal characteristics, spatial weight