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Policy variables affecting marginal level of low carbon employment: an empirical study based on provincial data of China
Abstract： Low Carbon Employment is an inevitable choice for the purpose of "energy-saving and emission reduction " and "promoting employment". By Multi-variable Linear Backward Regression method, this study presents an empirical analysis of the employment impact of policy variables indexes that involves economic pull, industry upgrading, population development, technical inputs and so on. The paper demonstrates that wide range of factors will affect low carbon employment, that industry upgrading will affect low carbon employment remarkably, that to increase years of people education will notably improve low carbon employment level of secondary vocational-technical labor, and that to raise technical inputs will significantly enhance college students' low carbon employment. 作 者： ZHOU De-lu 作者单位： College of Population, Resources and Environment, Shandong Normal University, Jinan 250014, P. R. China;Institute of Population, Shandong Academy oj Social Sciences, Jinan 250002, P. R. China 期 刊： 生态经济（英文版） Journal： ECOLOGICAL ECONOMY 年，卷(期)： 2010, 6(1) 分类号： X3 Keywords： Energy-saving and emission reduction Employment promotion Low carbon employment Policy variables【Policy variables affecting marginal 】相关文章：
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