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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Main Authors: Yujie Huang, Yang Su, Ruiliang Li, Haiqing He, Haiyan Liu, Feng Li, Qin Shu
Format: Article
Language:English
Published: MDPI AG 2019-12-01
Series:International Journal of Environmental Research and Public Health
Subjects:
Online Access:https://www.mdpi.com/1660-4601/17/1/187
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spelling 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 &gt; Shaanxi &gt; Ningxia &gt; Gansu &gt; 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 &gt; Shaanxi &gt; Ningxia &gt; Gansu &gt; 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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