Evaluation of the contributions of four components of gross domestic product in various regions in China

PLoS One. 2015 Apr 27;10(4):e0121594. doi: 10.1371/journal.pone.0121594. eCollection 2015.

Abstract

Four major components influence the growth of the gross domestic product in Chinese provinces: consumption, investment, transnational exports, and inter-provincial exports. By splitting a competitive input-output table into a non-competitive input-output table, this study used an input-output model to measure the contributions of the four components of gross domestic product in various regions in China. We found that international exports drove the growth of the gross domestic product more strongly in the eastern region than in other regions. Investment and inter-provincial exports were the major impetus for gross domestic product growth in the central and western regions. We also found that consumption played a minimal role in driving the growth of the gross domestic product in all regions in China. According to these findings, although various regions can share much in terms of policies to transform the impetus for economic growth, there should be different foci for different regions. Their shared policy is to increase the role of final consumption in stimulating economic growth. Region-specific policies mandate that the eastern region should strengthen the driving force provided by international exports and that the central and western regions should strengthen indigenous growth capabilities by improving scientific innovation, industrial support, and institutional innovation.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • China
  • Developing Countries
  • Economic Development / legislation & jurisprudence
  • Economic Development / statistics & numerical data*
  • Geography
  • Gross Domestic Product / statistics & numerical data*
  • Humans
  • Investments / statistics & numerical data*
  • Models, Economic*

Grants and funding

The authors are grateful for financial support from the National Natural Science Foundation of China under grant nos. 71003066 and 71133003. The financial support from the National Natural Science Foundation of China under grant nos. 71003066 and 71133003 supported the data collection of the manuscript.