文献类型：期刊文献

中文题名：重点国有林区森工企业全要素生产率影响因素分析——基于动态面板模型的实证研究

英文题名：Analysis on State-owned Forest Enterprises TFP Impacting Factors in Key State-owned Forest District——Empirical Research Based on the DPD Model

作者：宁攸凉[1] 宁泽逵[2] 郭斌[3]

第一作者：宁攸凉

机构：[1]中国林业科学研究院林业科技信息研究所;[2]西安财经学院管理学院;[3]西南政法大学管理学院

年份：2017

卷号：39

期号：9

起止页码：57-62

中文期刊名：林业经济

外文期刊名：Forestry Economics

收录：北大核心:【北大核心2014】；

基金：中国林科院基本科研业务费专项资助"重点国有林区森工企业综合效率评估研究"(编号:CAFYBB2014QA017);重庆市哲学社会科学规划项目"重庆市集体林权制度改革运行及绩效研究"(编号:2012YBGL126);重庆市博士后科研项目特别资助项目"中国集体林权改革的效果评价与制度完善"(编号:Xm2014017);国家林业局委托项目"大数据在林业统计工作中运用研究"

语种：中文

中文关键词：森工企业;DEA-Malmquist模型;单属性全要素生产率;多属性生产率;动态面板模型

外文关键词：state-owned forest enterprises; DEA-Malmquist Model; TFP1; TFP2; DPD Model

分类号：F326.23

摘要：基于重点国有林区2003~2014年84个森工企业面板数据,采用DEA-Malmquist模型评估了两种全要素生产率,运用SYS-GMM动态面板模型研究影响因素进行实证分析,结果显示:(1)森工企业单属性全要素生产率增长比多属性全要素生产率更快;(2)森工企业两种全要素生产率增长均主要得益于技术进步的贡献;(3)全要素生产率增长具有明显的累积效应,即森工企业前期全要素生产率增长越快,现期全要素生产率增长越快;(4)地区经济发展水平有利于全要素生产率增长,但非政府投资不利于全要素生产率增长。最后,讨论了这些结论的政策启示。
Based on the panel data of state-owned forest enterprises in key state-owned forest districts, this paper adopted DEA-Malmquist Model to measure two kinds of TFP and DPD Model to analyze their impacting factors. The result showed that： Firstly, TFP1 was higher than TFP2. Secondly, the TFP increase was mainly due to techno- logical progress. Thirdly, when TFP of the early period growed faster, TFP of the current period growed faster. The accumulative effect of TFP change was quite apparent. Fourthly, district economics development level was benefit to the TFP, but non-governmental investment was not benefit to TFP growth. Finally, this paper also discussed the policy implications of these findings.