Literature DB >> 32681325

Research on multiple effects of fixed-asset investment on energy consumption--by three strata of industry in China.

Rui Wang1, Zhongying Qi2, Yumin Shu1.   

Abstract

Fixed-asset investment directly affects energy consumption through purchasing and upgrading energy-saving equipment on the one hand, and indirectly affects energy consumption by expanding output scale on the other hand. This paper analyzes the multiple effects of fixed-asset investment on energy consumption by three strata of industry in China during 1991-2017. The econometric methods based on VAR model such as Johansen co-integration test and Granger causality test (linear Granger causality test and non-linear Granger causality test) are utilized to explore the long-run stable equilibrium relationships and causal interactions between fixed-asset investment and energy consumption. And the mediation test is performed by employing the bias-corrected non-parametric percentile bootstrap method combined with causal steps approach to obtain the direct and indirect effects of fixed-asset investment on energy consumption. Our study indicates that there are long-run stable equilibrium relationships between fixed-asset investment and energy consumption by three strata of industry. Bidirectional causalities exist in secondary and tertiary industries between fixed-asset investment and their respective energy consumption, and a unidirectional causality exists in primary industry from fixed-asset investment to energy consumption. The fixed-asset investment in primary industry directly suppresses its energy consumption, while indirectly promotes its energy consumption through its value added. And the fixed-asset investment in secondary industry not only directly promotes its energy consumption but also indirectly promotes its energy consumption through its value added.

Keywords:  Bootstrap method; Energy consumption; Fixed-asset investment; Mediation test; Multiple effects; Value added

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Substances:

Year:  2020        PMID: 32681325     DOI: 10.1007/s11356-020-10094-7

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  1 in total

1.  Does Industrial Transfer Change the Spatial Structure of CO2 Emissions?-Evidence from Beijing-Tianjin-Hebei Region in China.

Authors:  Jiachen Yue; Huasheng Zhu; Fei Yao
Journal:  Int J Environ Res Public Health       Date:  2021-12-29       Impact factor: 3.390

  1 in total

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