Industrial electricity consumption, human capital investment and economic growth in Chinese cities

Yang Chen, Zheng Fang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

51 Citations (Scopus)

Abstract

We examine the cointegrating and Granger causal relationships between economic growth, industrial electricity consumption and human capital in China using a panel consisting of 210 prefecture cities across a period of 2003–2012. Applying continuously-updated fully modified panel estimation, we find that industrial electricity consumption has a significantly larger impact on economic prosperity than physical and human capital investment. Industrial electricity consumption plays a dominant role to boost growth in the center and the west, while human capital contributes most to the growth of the east. And notably, core cities are the largest beneficiaries from the growth of production inputs. Accounting for heterogeneity and cross-section dependence, results from the Granger non-causality tests suggest that the implementation of electricity-saving strategy is more feasible in inland China without hampering the economic growth and development of human capital. In the east, regulators must make efforts to increase investment in building electricity infrastructure to connect demand with supply to avoid shortage of power having an adverse effect on economic growth. Reducing the urban-rural gap in electricity tariffs and improving development of rural electricity network are rationalized to achieve sustainable economic development for the urban community in China.

Original languageEnglish
Pages (from-to)205-219
Number of pages15
JournalEconomic Modelling
Volume69
DOIs
Publication statusPublished - Jan 2018

Keywords

  • Chinese cities
  • Heterogeneous panel causality
  • Human capital investment
  • Industrial electricity consumption

Fingerprint

Dive into the research topics of 'Industrial electricity consumption, human capital investment and economic growth in Chinese cities'. Together they form a unique fingerprint.

Cite this