Literature DB >> 29909537

Existing agricultural ecosystem in China leads to environmental pollution: an econometric approach.

Lei Hongdou1, Li Shiping2, Li Hao1.   

Abstract

Sustainable agriculture ensures food security and prevents starvation. However, the need to meet the increasing food demands of the growing population has led to poor and unsustainable agricultural practices, which promote environmental degradation. Given the contributions of agricultural ecosystems to environmental pollution, we investigated the impact of the agricultural ecosystem on environmental pollution in China using time series data from 1960 to 2014. We employed several methods for econometric analysis including the unit root test, Johansen test of cointegration, Granger causality test, and vector error correction model. Evidence based on the long-run elasticity indicates that a 1% increase in the emissions of carbon dioxide (CO2) equivalent to nitrous oxide from synthetic fertilizers will increase the emissions of CO2 by 1.52% in the long run. Similarly, a 1% increase in the area of harvested rice paddy, cereal production, biomass of burned crop residues, and agricultural GDP will increase the carbon dioxide emissions by 0.85, 0.63, 0.37, and 0.22%, respectively. The estimated results indicate that there are long-term equilibrium relationships among the selected variables considered for the agricultural ecosystem and carbon dioxide emissions. In particular, we identified bidirectional causal associations between CO2 emissions, biomass of burned crop residues, and cereal production. Graphical abstract ᅟ.

Entities:  

Keywords:  CO2 emission; China agricultural ecosystem; Environmental pollution; Johansen cointegration analysis; Vector error correction model

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Substances:

Year:  2018        PMID: 29909537     DOI: 10.1007/s11356-018-2461-9

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


  2 in total

1.  The inhabitants' dual interest preferences and their impact on pro-environmental behavior in China.

Authors:  Hongdou Lei; Imran Khan; Shiping Li
Journal:  Environ Sci Pollut Res Int       Date:  2020-01-28       Impact factor: 4.223

2.  Impact assessment of land use change on surface temperature and agricultural productivity in Peshawar-Pakistan.

Authors:  Imran Khan; Tehseen Javed; Ahmad Khan; Hongdou Lei; Ihsan Muhammad; Imad Ali; Xuexi Huo
Journal:  Environ Sci Pollut Res Int       Date:  2019-09-12       Impact factor: 4.223

  2 in total

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