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Analysis on the Variation rule and influencing factors of energy consumption carbon emission intensity in China's urbanization construction

机译:中国城市化建设中能耗碳排放强度的变化规律及影响因素分析

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On the basis of literature review and current situation analysis, models were established to carryout scientific measurement for carbon emissions and its intensity in China in this paper. With full consideration to the actual situation of energy consumption growth and carbon emission intensity controlling of energy consumption in new-type urbanization construction, the Kaya model was revised. With population intensity of GDP production, urbanization rate, employment rate of urban population, per capita energy consumption of urban employed population and carbon emission density of energy consumption selected as independent variables, test models of multivariate linear correlation were established for new-type urbanization construction, energy consumption growth and carbon emission intensity controlling of energy consumption, and the empirical equilibrium equation and error correction equation were determined through stability test, lag order test and co-integration test. The results are shown as follows: the urban employment rate (UER) has the greatest impact on carbon emission intensity, the per capita urban employment energy consumption (PEC) has the least impact on carbon emission intensity, and the degree of other factors in proper order is: urbanization rate (UR), population intensity of GDP production (PG) and carbon emission density (CD). (C) 2019 Elsevier Ltd. All rights reserved.
机译:本文在文献综述和现状分析的基础上,建立了模型,对中国的碳排放及其强度进行了科学的测算。充分考虑新型城镇化建设中能源消耗增长的实际情况和能源消耗的碳排放强度控制,对Kaya模型进行了修正。以GDP的人口密度,城市化率,城市人口就业率,城市就业人口人均能耗和能耗的碳排放密度为自变量,建立了新型线性化的多元线性相关检验模型。通过稳定性试验,滞后阶次试验和协整试验确定了能耗增长和能耗的碳排放强度控制,并建立了经验均衡方程和误差修正方程。结果表明:城市就业率(UER)对碳排放强度的影响最大,人均城市就业能耗(PEC)对碳排放强度的影响最小,其他因素的程度在一定程度上顺序是:城市化率(UR),GDP生产的人口密度(PG)和碳排放密度(CD)。 (C)2019 Elsevier Ltd.保留所有权利。

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