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A community with a shared future for mankind embodies the concept of sustainable development. This is also China’s contribution to global governance. Some of the Sustainable Development Goals (such as the elimination of hunger and malnutrition) require countries to implement people-centered overall agricultural transformations, and achieving such agricultural transformations is key to ensuring sustainable agricultural development and shifting agriculture toward a greener and more ecological direction. This paper uses the SBM Directional Distance Function and Malmquist Productivity Index with calculated data from 2000 to 2016. The results show that, since 2000, China’s environmental performance index growth has been slow, with an average annual growth rate of only 0.80%. This growth has gone through three phases: a stable up and down phase, a volatility decrease phase, and a volatility increase phase. In general, agricultural technological advances have played a more visible role in promoting a strong performance in reducing carbon emissions. Agriculture in China is also on the way to becoming more sustainable and green.
Guofeng Wang; Ziyu Qian; Xiangzheng Deng. Analysis of Environmental Policy and the Performance of Sustainable Agricultural Development in China. Sustainability 2020, 12, 10453 .
AMA StyleGuofeng Wang, Ziyu Qian, Xiangzheng Deng. Analysis of Environmental Policy and the Performance of Sustainable Agricultural Development in China. Sustainability. 2020; 12 (24):10453.
Chicago/Turabian StyleGuofeng Wang; Ziyu Qian; Xiangzheng Deng. 2020. "Analysis of Environmental Policy and the Performance of Sustainable Agricultural Development in China." Sustainability 12, no. 24: 10453.
Carbon emissions and strategies for reducing them have become hot topics in recent years. This study firstly measured the total amount and the intensity of agricultural carbon emissions (i.e., agricultural carbon emission per capital) in China. The results show that China’s total carbon emission in 2016 was 272.022 million tons, which is 26.67% more than that in 2000, with an average annual increase of 1.67%. It then compared the regional differences of agricultural carbon emissions in China using the method of coefficient of variation and the Theil index. Following this, this paper finally provides scientific and technological support for the reduction of agricultural carbon emissions in China based on a matrix of carbon emission reduction strategies.
Guofeng Wang; Maolin Liao; Jie Jiang. Research on Agricultural Carbon Emissions and Regional Carbon Emissions Reduction Strategies in China. Sustainability 2020, 12, 2627 .
AMA StyleGuofeng Wang, Maolin Liao, Jie Jiang. Research on Agricultural Carbon Emissions and Regional Carbon Emissions Reduction Strategies in China. Sustainability. 2020; 12 (7):2627.
Chicago/Turabian StyleGuofeng Wang; Maolin Liao; Jie Jiang. 2020. "Research on Agricultural Carbon Emissions and Regional Carbon Emissions Reduction Strategies in China." Sustainability 12, no. 7: 2627.
Regional cooperation has become a new direction for China development. Indeed, carbon emission reduction is especially important to combat Climate change. In this paper, we use Direction Distance Function to estimate the overall carbon emission efficiency. We empirically estimate the spatial Moran'I and LISA cluster in China from 2005 to 2016. Our results show carbon emission efficiency presents the spatial pattern of gradually decreasing in “Eastern, Central, Western” and symmetrical distribution in “Southern, Central, Northern” of China. High efficiency spatial cluster areas mainly concentrate on the mid-east coastal provinces, which technical level and policies are better than those of the inland among the factors influencing carbo emission efficiency, energy structure, technology and urbanization have a significant impact. This paper will provide some scientific support to solve cooperation between province to combat carbon emission.
Guofeng Wang; Xiangzheng Deng; Jingyu Wang; Fan Zhang; Shiqi Liang. Carbon emission efficiency in China: A spatial panel data analysis. China Economic Review 2019, 56, 101313 .
AMA StyleGuofeng Wang, Xiangzheng Deng, Jingyu Wang, Fan Zhang, Shiqi Liang. Carbon emission efficiency in China: A spatial panel data analysis. China Economic Review. 2019; 56 ():101313.
Chicago/Turabian StyleGuofeng Wang; Xiangzheng Deng; Jingyu Wang; Fan Zhang; Shiqi Liang. 2019. "Carbon emission efficiency in China: A spatial panel data analysis." China Economic Review 56, no. : 101313.