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

被引:14
|
作者
Lei Hongdou [1 ]
Li Shiping [1 ]
Li Hao [1 ]
机构
[1] Northwest A&F Univ, Coll Econ & Management, 3 Taicheng Rd, Yangling 712100, Shaanxi, Peoples R China
关键词
China agricultural ecosystem; CO2; emission; Environmental pollution; Johansen cointegration analysis; Vector error correction model; CARBON-DIOXIDE; GAS EMISSIONS; GHANA; N2O; CO2;
D O I
10.1007/s11356-018-2461-9
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页码:24488 / 24499
页数:12
相关论文
共 50 条
  • [1] Existing agricultural ecosystem in China leads to environmental pollution: an econometric approach
    Lei Hongdou
    Li Shiping
    Li Hao
    [J]. Environmental Science and Pollution Research, 2018, 25 : 24488 - 24499
  • [2] Does the Agricultural Ecosystem Cause Environmental Pollution in Azerbaijan?
    Nesirov, Elcin
    Karimov, Mehman
    Zeynalli, Elay
    [J]. ECONOMIC AND ENVIRONMENTAL GEOLOGY, 2022, 55 (06): : 617 - 632
  • [3] Socioeconomic Drivers of Environmental Pollution in China: A Spatial Econometric Analysis
    Liu, Jianmin
    Chen, Xia
    Wei, Runchu
    [J]. DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2017, 2017
  • [4] Impact of Agricultural Industrial Agglomeration on Agricultural Environmental Efficiency in China: A Spatial Econometric Analysis
    Ye, Rendao
    Qi, Yue
    Zhu, Wenyan
    [J]. SUSTAINABILITY, 2023, 15 (14)
  • [5] A Spatial Econometric Approach to Studying Regional Air Pollution in China
    马丽梅
    张晓
    [J]. China Economist, 2014, 9 (04) : 42 - 56
  • [6] Research on influencing factors of environmental pollution in China: A spatial econometric analysis
    Liu, Kui
    Lin, Boqiang
    [J]. JOURNAL OF CLEANER PRODUCTION, 2019, 206 : 356 - 364
  • [7] The causal nexus between carbon dioxide emissions and agricultural ecosystem—an econometric approach
    Samuel Asumadu-Sarkodie
    Phebe Asantewaa Owusu
    [J]. Environmental Science and Pollution Research, 2017, 24 : 1608 - 1618
  • [8] Does agricultural ecosystem cause environmental pollution in Pakistan? Promise and menace
    Arif Ullah
    Dilawar Khan
    Imran Khan
    Shaofeng Zheng
    [J]. Environmental Science and Pollution Research, 2018, 25 : 13938 - 13955
  • [9] The causal nexus between carbon dioxide emissions and agricultural ecosystem-an econometric approach
    Asumadu-Sarkodie, Samuel
    Owusu, Phebe Asantewaa
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2017, 24 (02) : 1608 - 1618
  • [10] Does agricultural ecosystem cause environmental pollution in Pakistan. Promise and menace
    Ullah, Arif
    Khan, Dilawar
    Khan, Imran
    Zheng, Shaofeng
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2018, 25 (14) : 13938 - 13955