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CO_2 emissions and economic development: China's 12th five-year plan

机译:CO_2排放与经济发展:中国的“十二五”规划

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摘要

For the period of the 12th Five-Year Plan (2011-2015), the Chinese government has decided to reconsider and adjust its policies on economic development because of the pressures of CO_2 emissions and fossil energy consumption. The current paper adopts the logarithmic Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model to simulate the relationship between CO_2 emissions and other economic development factors in China. Three groups of outliers are found using samples from 1989 to 2008 and the Partial Least Square (PLS) regularity test method. The outlier analysis reveals three important areas for CO_2 reduction: (a) decreasing the share of coal to the total energy consumption and replacing it with non-fossil energies; (b) controlling vehicles used in the cities as well as (c) adjusting industrial structure. Furthermore, based on the social and economic realities of China, the current paper designs six feasible development scenarios for the period covered by the 12th Five-Year Plan and predicts the values of each factor in each scenario. The values can test the implementation of China's CO_2 control development concept. The experiences obtained by outlier analysis can be of significant reference value for realizing the predicted scenarios.
机译:在“十二五”期间(2011-2015年),中国政府决定重新考虑和调整其经济发展政策,因为二氧化碳排放量和化石能源消耗面临压力。本文采用回归对数的随机数对人口,富裕程度和技术的随机影响(STIRPAT)模型来模拟CO_2排放与中国其他经济发展因素之间的关系。使用1989年至2008年的样本以及偏最小二乘(PLS)正则性检验方法发现了三组离群值。异常值分析揭示了减少CO_2的三个重要领域:(a)减少煤炭在总能耗中所占的比例,并用非化石能源替代; (b)控制城市使用的车辆以及(c)调整产业结构。此外,根据中国的社会和经济现实,本文针对“十二五”规划期间设计了六个可行的发展方案,并预测了每种方案中每个因素的价值。这些值可以测试中国的CO_2控制开发概念的执行情况。通过离群分析获得的经验对于实现预测场景具有重要的参考价值。

著录项

  • 来源
    《Energy Policy》 |2012年第3期|p.468-475|共8页
  • 作者单位

    School of Economics and Management, North China Electric Power University, No. 619, Yonghua Street, Baoding City, Hebei Province 071003, China;

    School of Economics and Management, North China Electric Power University, No. 619, Yonghua Street, Baoding City, Hebei Province 071003, China;

    School of Economics, Hebei University, 071002, Baoding, Hebei, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    CO_2 emissions; economic development; scenario prediction;

    机译:二氧化碳排放量;经济发展;情景预测;

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