Study of the Spatio-Temporal Differentiation of Factors Influencing Carbon Emission of the Planting Industry in Arid and Vulnerable Areas in Northwest China
Due to the importance of understanding the relationship between agricultural growth and environmental quality, we analyzed how high-quality agricultural development can affect carbon emissions in Northwest China. Based on the concept of the environmental Kuznets curve, this study uses provincial pan...
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doaj-82d9356133aa4885a754408bc9e6ca192020-11-25T02:21:53ZengMDPI AGInternational Journal of Environmental Research and Public Health1660-46012019-12-0117118710.3390/ijerph17010187ijerph17010187Study of the Spatio-Temporal Differentiation of Factors Influencing Carbon Emission of the Planting Industry in Arid and Vulnerable Areas in Northwest ChinaYujie Huang0Yang Su1Ruiliang Li2Haiqing He3Haiyan Liu4Feng Li5Qin Shu6College of Economics and Trade, Xinjiang Agricultural University, Urumqi, Xinjiang 830052, ChinaCollege of Economics and Trade, Xinjiang Agricultural University, Urumqi, Xinjiang 830052, ChinaCollege of Letters and Science, University of Wisconsin-Madison, Madison, WI 53706, USASchool of Geomatics, East China University of Technology, Nanchang 330013, ChinaSchool of Water Resources and Environmental Engineering, East China University of Technology, Nanchang 330013, ChinaSchool of business administration, Xinjiang University of Finance and economics, Xinjiang 830012, ChinaCollege of Economics and Trade, Xinjiang Agricultural University, Urumqi, Xinjiang 830052, ChinaDue to the importance of understanding the relationship between agricultural growth and environmental quality, we analyzed how high-quality agricultural development can affect carbon emissions in Northwest China. Based on the concept of the environmental Kuznets curve, this study uses provincial panel data from 1993 to 2017 to make empirical analyses inflection point changes and spatio-temporal differences in agricultural carbon emissions. The highlights of our findings are as follows: (1) In Northwest China, there is an inverse N-shape curve, and the critical values are 3578 yuan/hm<sup>2</sup> and 45,738 yuan/hm<sup>2</sup>, respectively. (2) For 2017, the agricultural economic intensity was 50,670 yuan/hm<sup>2</sup>, exceeding the critical value (high inflection point) of 45,738 yuan/hm<sup>2</sup>. (3) Ningxia, Gansu, and Qinghai have not reached the turning point. Having comparable climate, natural conditions, and overall environmental factors, these three provinces would reach the turning point at similar time periods. (4) The average value in agricultural carbon emission intensity in the region is 767.79 kg/hm<sup>2</sup>, and the order based on intensity is Xinjiang > Shaanxi > Ningxia > Gansu > Qinghai.https://www.mdpi.com/1660-4601/17/1/187northwest chinavulnerable areaagriculturecarbon emissioninflection pointspatio-temporal differentiationekc model |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yujie Huang Yang Su Ruiliang Li Haiqing He Haiyan Liu Feng Li Qin Shu |
spellingShingle |
Yujie Huang Yang Su Ruiliang Li Haiqing He Haiyan Liu Feng Li Qin Shu Study of the Spatio-Temporal Differentiation of Factors Influencing Carbon Emission of the Planting Industry in Arid and Vulnerable Areas in Northwest China International Journal of Environmental Research and Public Health northwest china vulnerable area agriculture carbon emission inflection point spatio-temporal differentiation ekc model |
author_facet |
Yujie Huang Yang Su Ruiliang Li Haiqing He Haiyan Liu Feng Li Qin Shu |
author_sort |
Yujie Huang |
title |
Study of the Spatio-Temporal Differentiation of Factors Influencing Carbon Emission of the Planting Industry in Arid and Vulnerable Areas in Northwest China |
title_short |
Study of the Spatio-Temporal Differentiation of Factors Influencing Carbon Emission of the Planting Industry in Arid and Vulnerable Areas in Northwest China |
title_full |
Study of the Spatio-Temporal Differentiation of Factors Influencing Carbon Emission of the Planting Industry in Arid and Vulnerable Areas in Northwest China |
title_fullStr |
Study of the Spatio-Temporal Differentiation of Factors Influencing Carbon Emission of the Planting Industry in Arid and Vulnerable Areas in Northwest China |
title_full_unstemmed |
Study of the Spatio-Temporal Differentiation of Factors Influencing Carbon Emission of the Planting Industry in Arid and Vulnerable Areas in Northwest China |
title_sort |
study of the spatio-temporal differentiation of factors influencing carbon emission of the planting industry in arid and vulnerable areas in northwest china |
publisher |
MDPI AG |
series |
International Journal of Environmental Research and Public Health |
issn |
1660-4601 |
publishDate |
2019-12-01 |
description |
Due to the importance of understanding the relationship between agricultural growth and environmental quality, we analyzed how high-quality agricultural development can affect carbon emissions in Northwest China. Based on the concept of the environmental Kuznets curve, this study uses provincial panel data from 1993 to 2017 to make empirical analyses inflection point changes and spatio-temporal differences in agricultural carbon emissions. The highlights of our findings are as follows: (1) In Northwest China, there is an inverse N-shape curve, and the critical values are 3578 yuan/hm<sup>2</sup> and 45,738 yuan/hm<sup>2</sup>, respectively. (2) For 2017, the agricultural economic intensity was 50,670 yuan/hm<sup>2</sup>, exceeding the critical value (high inflection point) of 45,738 yuan/hm<sup>2</sup>. (3) Ningxia, Gansu, and Qinghai have not reached the turning point. Having comparable climate, natural conditions, and overall environmental factors, these three provinces would reach the turning point at similar time periods. (4) The average value in agricultural carbon emission intensity in the region is 767.79 kg/hm<sup>2</sup>, and the order based on intensity is Xinjiang > Shaanxi > Ningxia > Gansu > Qinghai. |
topic |
northwest china vulnerable area agriculture carbon emission inflection point spatio-temporal differentiation ekc model |
url |
https://www.mdpi.com/1660-4601/17/1/187 |
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