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Exploring the transformation and upgrading of China's economy using electricity consumption data: A VAR-VEC based model

机译:用电力消耗数据探索中国经济的转型和升级:基于VAR-VEC的模型

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Since the reforming and opening up in 1978, China has experienced a miraculous development. To investigate the transformation and upgrading of China's economy, this study focuses on the relationship between economic growth and electricity consumption of the secondary and tertiary industry in China. This paper captures the dynamic interdependencies among the related variables using a theoretical framework based on a Vector Autoregressive (VAR)-Vector Error Correction (VEC) model. Using the macroeconomic and electricity consumption data, the results show that, for secondary industry, there is only a unidirectional Granger causality from electricity consumption to Gross Domestic Product (GDP) from 1980 to 2000. However, for the tertiary industry, it only occurs that GDP Granger causes electricity consumption from 2001 to 2014. All these conclusions are verified by the impulse response function and variance decomposition. This study has a great significance to reveal the relationship between industrial electricity consumption and the pattern of economic development. Meanwhile, it further suggests that, since China joined the World Trade Organization (WTO) in 2001, the trend of the economic transformation and upgrading has gradually appeared. (C) 2017 Elsevier B.V. All rights reserved.
机译:自1978年改革开放以来,中国经历了神奇的发展。为调查中国经济的转型和升级,本研究侧重于中国中等学生经济增长与电力消费的关系。本文使用基于向量自回归(var) - vector纠错(VEC)模型的理论框架来捕获相关变量之间的动态相互依赖性。使用宏观经济和电力消耗数据,结果表明,对于二级行业,从1980年至2000年,只有一个单向的格兰杰因果关系从电力消费到国内生产总值(GDP)。然而,对于第三产业,它只发生GDP Granger从2001年到2014年引起电力消耗。通过脉冲响应函数和方差分解来验证所有这些结论。本研究具有重要意义,揭示了工业用电消费与经济发展模式之间的关系。与此同时,它进一步表明,自2001年中国加入世界贸易组织(WTO)以来,经济转型和升级的趋势逐渐出现。 (c)2017年Elsevier B.V.保留所有权利。

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