Literature DB >> 33987724

Agricultural chemicals and sustainable development: the agricultural environment Kuznets curve based on spatial panel model.

Yue Liu1,2, Xin Cheng3,4,5, Wenjing Li6,7.   

Abstract

Excessive delivery of agricultural chemicals seriously threatens the ecology and environment of agricultural areas and restricts the sustainable development of agriculture. The analysis of agrochemical Environmental Kuznets Curve (EKC) adopting spatial econometric tools is limited. Therefore, this study adopted the spatial panel regression approach to analyze the agricultural chemicals EKC Three Gorges Reservoir Region (TGRR). The results show that (1) both EKC curves of chemical fertilizer and pesticide of the TGRR are inverted U-shaped, and there are 53.8% and 42.3% of the counties/districts did not meet the inflection point of the EKC as regards to chemical fertilizer and pesticide. (2) The EKC of agricultural chemicals of the TGRR are stable, and the variables such as cultivated area and the urban-rural income disparity have impact on the occurrence of the inflection point of EKC. (3) There is the spatial "imitation and convergence" of agricultural chemicals among the counties in the TGRR. The findings indicate that the ecological and environmental situations of agriculture in the TGRR need urgent attention. Countermeasures aiming to alleviate the contradiction between ecological and economic development should be put forward.

Keywords:  Agricultural chemicals; Environmental Kuznets curve (EKC); Spatial panel model; The Three Gorges Reservoir Region

Year:  2021        PMID: 33987724     DOI: 10.1007/s11356-021-14294-7

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


  1 in total

1.  Investigating the environmental Kuznets curve between economic growth and chemical fertilizer surpluses in China: a provincial panel cointegration approach.

Authors:  Xiaomin Yu; Karsten Schweikert; Reiner Doluschitz
Journal:  Environ Sci Pollut Res Int       Date:  2021-10-23       Impact factor: 4.223

  1 in total

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