Spatial disparity dynamics of ecosystem service values and GDP in Shaanxi Province, China in the last 30 years

PLoS One. 2017 Mar 30;12(3):e0174562. doi: 10.1371/journal.pone.0174562. eCollection 2017.

Abstract

The regional policy in China is shifting from solely gross domestic product (GDP) orientation to development that is more balanced between economic growth and ecological protection, as well as achieving equality among regions. Using land use maps and the adjusted value coefficients to assess ecosystem service values (ESV) for the 1980s, 1995, 2000, and 2010, we estimated the ESV in Shaanxi Province for different years, and characterized the spatial and temporal distribution of ESV and GDP. The results demonstrated that the total value of ecosystem services in Shaanxi Province increased from 208.95 billion Yuan in the 1980s to 309.76 billion Yuan in 2010. Variation Coefficient (Cv) and Theil index (T) were used to reflect the disparities of GDP or ESV within the study area. The values of Cv in descending order are GDP, ESV per capita, ESV, and GDP per capita. The Theil indexes of GDP were much greater than the ones of ESV. Variations of Cv and T showed that disparity in GDP kept increasing from the 1980s to 2000, then decreased; while no significant change in regional disparity of ESV were detected in parallel. The cities with higher GDP usually contributed little to ESV, and vice versa. The variation in GDP and ESV, in terms of the prefectural totals and per capita values, increased from the 1980s to 2010. This study provides an accessible way for local decision makers to evaluate the regional balance between economic growth and ecosystem services.

MeSH terms

  • China
  • Cities / economics
  • Conservation of Natural Resources / economics
  • Ecology / economics
  • Economic Development*
  • Ecosystem*
  • Environmental Monitoring*
  • Gross Domestic Product
  • Humans

Grants and funding

This work was supported by the National Natural Science Foundation of China with Grant No. 50979003 and to Dr, Tianhong Li.