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新疆能源消费、结构调整与经济增长的动态计量分析——兼论新疆经济发展的困境与破除 被引量:2

Dynamic Measurement and Analysis of Energy Consumption,Structural Adjustment and Economic Growth in Xinjiang—on the Predicament and Breakthrough of Xinjiang's Economic Development
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摘要 为探讨新疆能源消费、结构调整与经济增长之间的关系,选取1978—2014年时间序列数据,运用协整检验、脉冲响应及方差分解等计量方法对三者之间的相互影响进行实证分析。结果显示:三者之间存在着长期稳定的关系;另外,动态脉冲响应和方差分解表明,经济的持续增长加大了能源需求的同时也形成了依靠能源消费来维持高速增长的路径依赖;能源消费作用于产业结构调整之余,却并没有使这种调整显著地推动经济的增长。在此基础上,指出新疆经济发展的两难困境,提出破解经济发展困境并使其走上高速、可持续的发展之路,必须通过技术的创新和应用来实现。 To clarify the relationship between energy consumption, industrial structure adjustment and economic growth in Xinjiang, using the time series data, co-integration test, the measurement method of the impulse response and variance decomposition, the paper analyzes the mutual influence between the three. The results show: there are long-term and stable relationship between the three; in addition, the dynamic impulse response and variance decomposition show that fast economic growth has not only increased the demand for energy, but also formed the mode of relying on energy consumption for maintaining high growth rate; energy consumption adjusts industrial structure, but it does not make this adjustment significantly promote economic growth. On this basis, the paper points out the dilemma of the economic development of Xinjiang, and puts forward that innovation and application of technology is the only way to break through economic difficulties and realize sustainable development.
作者 龚新蜀 王世英 胡志高 GONG Xinshu WANG ShiyingI HU Zhigao(School of Economics and Management, Shihezi University, Xinjiang 832003, China School of Urban and Regional Science, Shanghai University of Finance and Economics, Shanghai 200433, China)
出处 《科技管理研究》 CSSCI 北大核心 2017年第5期222-228,共7页 Science and Technology Management Research
基金 国家社会科学基金项目"丝绸之路经济带战略框架下新疆产业分工与区域竞争力研究"(14BJL090) "欧亚经济一体化背景下新疆外贸结构转型升级研究"(13BJY137) 新疆自治区普通高校人文社会科学重点研究基地重点项目"基于丝绸之路经济带产业协同效应的新疆产业空间布局优化研究"(XJEDU020215C01)
关键词 能源消费 产业结构 经济增长 协整检验 脉冲响应及方差分解 energy consumption industrial structure economic growth co-integration test impulse response and variance decomposition
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