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评估中国农业部门的能源效率、生产技术的地区差异以及影响全要素能源生产率变化的因素。

Assessing energy efficiency, regional disparities in production technology, and factors influencing total factor energy productivity change in the agricultural sector of China.

作者信息

Luan Xiaomei, Yasmeen Rizwana, Hassan Shah Wasi Ul

机构信息

Hubei University of Education, Rural Revitalization Research Center, Wuhan, Hubei, China.

School of Economics and Management, Panzhihua University, Panzhihua, 617000, Sichuan, China.

出版信息

Heliyon. 2024 Jul 23;10(15):e35043. doi: 10.1016/j.heliyon.2024.e35043. eCollection 2024 Aug 15.

Abstract

Efficiently utilizing the energy resources in the agriculture sector to produce more agricultural output with minimum environmental degradation is a shared global challenge. The Chinese government has introduced various policies aimed at enhancing energy efficiency (EE) and total factor energy productivity (TFEP) while addressing regional technological disparities in the agricultural sector. This study utilized DEA Super-SBM, Meta frontier Analysis, and the Malmquist-Luenberger index to assess energy efficiency, changes in total factor energy productivity, and the regional technology gap ratio (TGR) across 30 provinces in mainland China and three distinct regions during the period from 2000 to 2020. The findings reveal that the average EE in China's agricultural sector is 0.8492, indicating that, on average, there is a 15.08 % potential for improvement in EE growth within the sector. Qinghai (1.5828), Shanghai (1.3716), and Hainan (1.3582) are found to be the top 3 performers with the highest EE levels. The Eastern region demonstrates high excellence in EE, with a value of 1.0532. The TGR value of Zhejiang indicates the superior production technology utilized in the agriculture sector to utilize energy resources efficiently. Except for Zhejiang, the TGR of Liaoning, Jiangsu, Shanghai, Guangdong, Ningxia, and Hainan is above 0.96 and near 1, indicating superior production technology in the agriculture sector of China. The Technology Gap Ratio (TGR) of China's eastern region is superior to that of the central and western regions, consistently approaching 1. This suggests that the eastern provinces possess more advanced agricultural technologies, allowing them to optimize resource utilization for maximum output. The Malmquist-Luenberger index (MLI) score of 1.103 indicates a 10.3 % growth in the total factor energy productivity of China's agricultural sector. Further analysis reveals that this growth is primarily driven by technological change (TC), with a TC value of 1.080 surpassing the efficiency change (EC) value of 1.028. Among the three agricultural regions, the eastern region exhibits the highest total factor energy productivity. Specifically, Zhejiang (1.23), Shanghai (1.197), Liaoning (1.184), and Hebei (1.147) are identified as the top performers in total factor energy productivity growth in China's agricultural sector. Additionally, the Kruskal-Wallis test confirmed statistically significant differences in EE and TGR among the three regions.

摘要

在尽量减少环境退化的情况下有效利用农业部门的能源资源以增加农业产出是一项全球性的共同挑战。中国政府出台了各项政策,旨在提高能源效率(EE)和全要素能源生产率(TFEP),同时解决农业部门的区域技术差异问题。本研究利用数据包络分析超效率SBM模型、元前沿分析和Malmquist-Luenberger指数,对2000年至2020年期间中国大陆30个省份和三个不同地区的能源效率、全要素能源生产率变化以及区域技术差距比率(TGR)进行了评估。研究结果表明,中国农业部门的平均能源效率为0.8492,这表明该部门在能源效率增长方面平均有15.08%的提升潜力。青海(1.5828)、上海(1.3716)和海南(1.3582)被发现是能源效率水平最高的前三个地区。东部地区在能源效率方面表现卓越,值为1.0532。浙江的TGR值表明其农业部门在有效利用能源资源方面采用了先进的生产技术。除浙江外,辽宁、江苏、上海、广东、宁夏和海南的TGR高于0.96且接近1,表明中国农业部门的生产技术先进。中国东部地区的技术差距比率(TGR)优于中部和西部地区,且始终接近1。这表明东部省份拥有更先进的农业技术,能够优化资源利用以实现最大产出。Malmquist-Luenberger指数(MLI)得分为1.103,表明中国农业部门的全要素能源生产率增长了10.3%。进一步分析表明,这种增长主要由技术变革(TC)驱动,TC值为1.080超过了效率变化(EC)值1.028。在三个农业地区中,东部地区的全要素能源生产率最高。具体而言,浙江(1.23)、上海(1.197)、辽宁(1.184)和河北(1.147)被确定为中国农业部门全要素能源生产率增长的佼佼者。此外,Kruskal-Wallis检验证实了三个地区在能源效率和TGR方面存在统计学上的显著差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2c4/11328041/daefebc67fd4/gr1.jpg

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