7
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Characteristics, regional differences, and influencing factors of China's water-energy-food (W-E-F) pressure: evidence from Dagum Gini coefficient decomposition and PGTWR model.

      Read this article at

      ScienceOpenPublisherPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Water, energy, and food security are global concerning issues especially in China. To promote regional environmental management cooperation as well as find resource security influencing factor differences among regions, this paper calculates the water-energy-food (W-E-F) pressure, find W-E-F pressure's regional differences, and the influencing factors by Dagum Gini coefficient decomposition and geographically and temporally weighted regression model for panel data (PGTWR). First, the temporal trend of W-E-F pressure is decreasing and then increasing during 2003-2019; pressure in the eastern provinces is significantly higher than in other provinces and structurally energy pressure is the dominant resource pressure in W-E-F in most provinces. Besides, inter-regional differences are the main source of regional differences in China's W-E-F pressure, particularly for the inter-regional differences between eastern regions and other regions. In addition, there are obvious spatio-temporal heterogeneity effects of population density, per capita GDP, urbanization, energy intensity, effective irrigated area, and forest cover on W-E-F pressure. Balancing regional development gaps and developing differentiated resource pressure mitigation strategies based on the characteristics of different regional drivers are of great importance.

          Related collections

          Author and article information

          Journal
          Environ Sci Pollut Res Int
          Environmental science and pollution research international
          Springer Science and Business Media LLC
          1614-7499
          0944-1344
          May 2023
          : 30
          : 24
          Affiliations
          [1 ] School of Economics, Hebei University, Baoding, 071002, China.
          [2 ] Research Centre of Resources Utilization and Environmental Conservation, Hebei University, Baoding, 071002, China.
          [3 ] School of Economics, Hebei University, Baoding, 071002, China. miaohewendy@126.com.
          [4 ] Research Centre of Resources Utilization and Environmental Conservation, Hebei University, Baoding, 071002, China. miaohewendy@126.com.
          [5 ] Baoding Key Laboratory of Carbon Neutralication and Data Science, Baoding, 071002, Heibei, China. miaohewendy@126.com.
          Article
          10.1007/s11356-023-27010-4
          10.1007/s11356-023-27010-4
          37097564
          49b6deff-6d7f-4504-b4a9-171972e51871
          History

          Dagum Gini coefficient decomposition,W-E–F systems pressure index,Regional differences,Influencing factors,Geographically and temporally weighted regression model for panel data

          Comments

          Comment on this article