当前位置: 首页 > 文章 > 林业产业集聚、林业经济增长及其空间溢出效应——基于2004-2015年省际面板数据的空间计量分析 安徽农业大学学报 2018 (6) 1063-1070
Position: Home > Articles > Forest industry agglomeration, forest economic growth and its space spillover effect ——Based on the spatial analysis of the marginal panel data from 2004 to 2015 Journal of Anhui Agricultural University 2018 (6) 1063-1070

林业产业集聚、林业经济增长及其空间溢出效应——基于2004-2015年省际面板数据的空间计量分析

作  者:
程鹏飞;李婕;张红丽;张朝辉
单  位:
石河子大学农业现代化研究中心;石河子大学经济与管理学院
关键词:
林业产业集聚;林业经济增长;空间溢出;空间计量经济学
摘  要:
基于空间计量经济学视角,利用中国31个省份2004—2015年间的省际面板数据,借助林业产业区位熵指数、空间自相关检验及空间计量模型,实证检验了林业产业集聚与林业经济增长之间的影响关系。结果表明,中国林业经济增长存在明显的空间自相关性,林业产业具有显著空间集聚特征,主要集聚在东北、华南和西南地区。林业产业集聚对区域林业经济增长具有显著正向促进作用,并且具有较强的空间溢出效应。
译  名:
Forest industry agglomeration, forest economic growth and its space spillover effect ——Based on the spatial analysis of the marginal panel data from 2004 to 2015
作  者:
CHENG Pengfei;LI Jie;ZHANG Hongli;ZHANG Zhaohui;School of Economics and Management,Shihezi University;Agricultural Modernization Research Center,Shihezi University;
单  位:
CHENG Pengfei%LI Jie%ZHANG Hongli%ZHANG Zhaohui%School of Economics and Management,Shihezi University%Agricultural Modernization Research Center,Shihezi University
关键词:
forest industry agglomeration;;forest economic growth;;spatial spillover;;spatial econometrics
摘  要:
Based on spatial research perspective of spatial econometrics, we analyzed 31 provinces panel data from 2004 to 2015 in China, using the forestry industry location entropy index, the spatial autocorrelation test and spatial econometrics model, to empirically test the relationship between forestry industrial agglomeration and the forestry economic growth. The result found that Chinese forestry economy development showed a significant spatial autocorrelation, and remarkable forestry industry spatial agglomeration features were mainly in northeast, south China and southwest regions. The agglomeration of forestry industry has a significant positive promoting effect on the regional forestry economic growth and has a strong spatial spillover effect on the forest economic growth.

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