中国人口资源与环境
中國人口資源與環境
중국인구자원여배경
China Polulation.Resources and Environment
2014年
5期
66~71
,共null页
绿色TFP 全局DEA Malmquist—Luenberger指数 分位数回归
綠色TFP 全跼DEA Malmquist—Luenberger指數 分位數迴歸
록색TFP 전국DEA Malmquist—Luenberger지수 분위수회귀
green TFP; global DEA; Malmquist-Luenberger index; quantile regression
工业是中国实体经济增长的主要来源,也是能源消耗与碳排放的主体。在应对全球气候变化及发展低碳经济的背景下,中国工业发展将面临越来越强的能源与碳排放约束,工业增长必须由要素驱动的投入导向型转向创新驱动的效率导向型,提高低碳约束下的绿色TFP对工业增长的贡献,推动以绿色TFP增长为核心的工业低碳转型。该文基于非参数生产前沿分析方法。在考虑能源投入与碳排放这一非期望产出的全要素分析框架下,利用全局DEA方法及Malmquist-Luenberger指数,测度了1998—2010年中国工业36个细分行业绿色TFP的动态变化。考虑到中国工业内部不同行业在要素投入结构、所有制结构、企业规模、能源消费结构及行业开放度等方面存在较大的差异,文章分别利用条件均值回归和条件分位数回归,就上述行业特征因素对工业绿色TFP增长的影响效应进行了计量检验。实证分析结果表明:行业平均企业规模和行业企业集中度对行业绿色TFP增长均有显著促进作用,行业资本深化则抑制了行业绿色TFP增长,行业私营企业比重的提高并没有促进行业绿色TFP增长.FDI和煤炭消费比重均对行业绿色TFP增长有显著的负面影响。变参数估计结果表明.对处于高分位和低分位绿色TFP指数的行业来说,行业特征因素对行业绿色TFP增长的边际效应较弱,行业特征因素对处于中间分位的行业绿色TFP指数的边际效应最强。在此基础上,进一步指出上述结论对我国工业行业低碳转型发展的政策启示。
工業是中國實體經濟增長的主要來源,也是能源消耗與碳排放的主體。在應對全毬氣候變化及髮展低碳經濟的揹景下,中國工業髮展將麵臨越來越彊的能源與碳排放約束,工業增長必鬚由要素驅動的投入導嚮型轉嚮創新驅動的效率導嚮型,提高低碳約束下的綠色TFP對工業增長的貢獻,推動以綠色TFP增長為覈心的工業低碳轉型。該文基于非參數生產前沿分析方法。在攷慮能源投入與碳排放這一非期望產齣的全要素分析框架下,利用全跼DEA方法及Malmquist-Luenberger指數,測度瞭1998—2010年中國工業36箇細分行業綠色TFP的動態變化。攷慮到中國工業內部不同行業在要素投入結構、所有製結構、企業規模、能源消費結構及行業開放度等方麵存在較大的差異,文章分彆利用條件均值迴歸和條件分位數迴歸,就上述行業特徵因素對工業綠色TFP增長的影響效應進行瞭計量檢驗。實證分析結果錶明:行業平均企業規模和行業企業集中度對行業綠色TFP增長均有顯著促進作用,行業資本深化則抑製瞭行業綠色TFP增長,行業私營企業比重的提高併沒有促進行業綠色TFP增長.FDI和煤炭消費比重均對行業綠色TFP增長有顯著的負麵影響。變參數估計結果錶明.對處于高分位和低分位綠色TFP指數的行業來說,行業特徵因素對行業綠色TFP增長的邊際效應較弱,行業特徵因素對處于中間分位的行業綠色TFP指數的邊際效應最彊。在此基礎上,進一步指齣上述結論對我國工業行業低碳轉型髮展的政策啟示。
공업시중국실체경제증장적주요래원,야시능원소모여탄배방적주체。재응대전구기후변화급발전저탄경제적배경하,중국공업발전장면림월래월강적능원여탄배방약속,공업증장필수유요소구동적투입도향형전향창신구동적효솔도향형,제고저탄약속하적록색TFP대공업증장적공헌,추동이록색TFP증장위핵심적공업저탄전형。해문기우비삼수생산전연분석방법。재고필능원투입여탄배방저일비기망산출적전요소분석광가하,이용전국DEA방법급Malmquist-Luenberger지수,측도료1998—2010년중국공업36개세분행업록색TFP적동태변화。고필도중국공업내부불동행업재요소투입결구、소유제결구、기업규모、능원소비결구급행업개방도등방면존재교대적차이,문장분별이용조건균치회귀화조건분위수회귀,취상술행업특정인소대공업록색TFP증장적영향효응진행료계량검험。실증분석결과표명:행업평균기업규모화행업기업집중도대행업록색TFP증장균유현저촉진작용,행업자본심화칙억제료행업록색TFP증장,행업사영기업비중적제고병몰유촉진행업록색TFP증장.FDI화매탄소비비중균대행업록색TFP증장유현저적부면영향。변삼수고계결과표명.대처우고분위화저분위록색TFP지수적행업래설,행업특정인소대행업록색TFP증장적변제효응교약,행업특정인소대처우중간분위적행업록색TFP지수적변제효응최강。재차기출상,진일보지출상술결론대아국공업행업저탄전형발전적정책계시。
Industrial sectors occupy an important position in China' s economic growth, energy consumption and carbon emissions. In response to global climate change and the development of low-carbon economy, China' s industrial growth must steer from input-driven mode to innovation-driven and efficiency-oriented mode, and enhance the contribution of green TFP to industrial growth, in order to make green TFP growth play a central role in the low-carbon industrial transition. Under the non-parametric frontier analysis framework accounting for energy consumption and carbon emissions, this paper employs global DEA approach and Malmquist-Luenberger index to measure sub-industrial green TFP growth in China from 1998 to 2010. Taking into account the industrial differences in the terms of factor input structure, ownership structure, average size of enterprises, energy consumption structure and industrial openness, the conditional mean regression and quantile regression approach are applied respectively to test the impact of sub-industrial characteristics on industrial green TFP growth. Average size of enterprises and industrial concentration degree have a significantly positive effect on industrial green TFP growth, but capital deepening has inhibited industrial green TFP growth. The increasing proportion of private enterprises does not promote industrial green TFP growth. FDI and coal consumption play a significantly negative role in sub-industrial green TFP growth. Variable parameter estimation results indicate that the marginal effect of industrial features is comparatively weak on industrial green TFP growth for sub-industries of both high and low quantile green TFP. For sub-industries of middle quintile green TFP, industrial features play strongest marginal effect on industrial green TFP growth. Finally, some policy implications are pointed out about low-carbon industrial transition.