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基于多变量双对数回归模型的工业发展与环境质量实证研究——以南宁市为例
引用本文:张协奎,李玉翠,陈垚希.基于多变量双对数回归模型的工业发展与环境质量实证研究——以南宁市为例[J].生态经济(学术版),2012(4):39-41,86.
作者姓名:张协奎  李玉翠  陈垚希
作者单位:广西大学商学院;桂林电子科技大学商学院
基金项目:国家软科学研究计划项目(2007GXQ4D181);广西自然科学基金项目(桂科自0991050);南宁市工业和信息化委员会的资助;广西益江环保科技有限责任公司对本课题研究提供的资助
摘    要:采用改进的多变量双对数回归模型,判别基于工业规模、工业结构、工业技术三类效应对环境的影响程度,找出工业发展与生态环境变化的内在关联。实证分析结果表明,工业结构对环境影响程度最高,工业规模次之,技术因素影响最小。南宁市在经济发展过程中,应加快工业结构优化升级,通过调整结构、技术进步和加强管理等措施,推进产业结构调整和科技创新,大幅度减少资源消耗,降低废物排放,提高资源生产率,减轻环境压力,优化环境质量。

关 键 词:多变量双对数回归模型  工业增长  环境质量  工业废气污染排放模型  工业废水污染排放模型

The Empirical Research on Industrial Growth and Environmental Quality Base on Dual Multiple Log Linear Regression Model: a Case Study of Nanning
Institution:ZHANG Xiekui1,2,LI Yucui2,CHEN Yaoxi2(1.Business School,Guangxi University,Nanning Guangxi 530004,China; 2.Business School,Guilin University of Electronic Technology,Guilin Guangxi 541004,China)
Abstract:The paper uses an improved dual multiple log linear regression model to discriminate the impact on the environment made by the effects which industrial scale,industrial structure,and industrial technology to find out the underlying changes between industrial development and ecological environment.The empirical results show that,industrial structure have highest degree impact on environmental,industrial scale follows,technical factors least.In the process of economic development,Nanning should speed up upgrading of industrial structure by adjusting the structure,technological progress and strengthening management,etc.promoting industrial restructuring and technological innovation,substantially reducing resource consumption and waste emissions and improving resource productivity,mitigating pressure and optimized environmental quality.
Keywords:dual multiple log linear regression model  industrial growth  environmental quality  industrial air pollution emission model  industrial wastewater pollution emission model
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