Spatiotemporal Heterogeneity of Agricultural Land Eco-Efficiency: A Case Study of 128 Cities in the Yangtze River Basin

Hu, Yihang; Li, Xuan; Zhang, Zhengyu; Wang, Shengpeng; Zhou, Hua‐Cheng

doi:10.3390/w14030422

Cited by 14 publications

(10 citation statements)

References 50 publications

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“…For example, Fu et al (2013) used the ecological footprint index method to predict grain security and ecological sustainable development in China in 2030 [4]. Zhou et al (2022) studied the impact of rice planting system on the environment from the perspective of ecological footprint [5]. Tian et al (2016) used stochastic frontier analysis to measure the environmental efficiency of farmers' production in China [6], and Zhang et al (2019) used stochastic frontier analysis to calculate the green total factor productivity (GTFP) of countries along the Belt and Road [7].…”

Section: Introductionmentioning

confidence: 99%

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Effect of Zero Growth of Fertilizer Action on Ecological Efficiency of Grain Production in China under the Background of Carbon Emission Reduction

2022

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At present, the problem of non-point source pollution and carbon emissions caused by excessive application of fertilizer is increasingly serious and has caused damage to the ecological environment. The “zero growth of fertilizer use by 2020 action plan” was introduced to solve the related ecological and environmental problems. Based on the panel data of 31 provinces in China from 1998 to 2020, this paper used the super efficiency SBM model to measure the ecological efficiency of grain production in China, and further verified the mediating effect of fertilizer application amount on the effect of zero growth of fertilizer on the ecological efficiency of grain production using the mediating effect model. The results showed that (1) zero growth of fertilizer action had a significant effect on the ecological efficiency of grain production. That is, the implementation of zero growth of fertilizer action can help improve the ecological efficiency of grain production. (2) The application amount of fertilizer played a mediating role in the mechanism of the effect of zero growth of fertilizer action on the ecological efficiency of grain production. (3) The implementation of the zero growth of fertilizer action effectively reduced the amount of fertilizer application and reduced fertilizer non-point source pollution and carbon emissions, which improved the ecological efficiency of grain production. According to the results of empirical research, to promote the sustainable development of agricultural production, more relevant ecological and environmental protection policies should be introduced and relevant subsidies should be increased.

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Section: Introductionmentioning

confidence: 99%

“…Tu et al (2015) assessed the ecological environment of rice in the Mekong Delta region of Vietnam [25]. Hu et al (2022) analyzed the spatiotemporal heterogeneity of agricultural eco-efficiency in the Yangtze River Basin in China [26]. Zhong et al (2020) Studied the eco-efficiency of maize production in arid Northwest China [27].…”

Section: Introductionmentioning

confidence: 99%

Effect of Zero Growth of Fertilizer Action on Ecological Efficiency of Grain Production in China under the Background of Carbon Emission Reduction

2022

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“…This may be d to the rugged terrain in the upper reaches and the different grain cultivation structu between the middle and lower reaches, with a higher proportion of corn and a lower pr portion of rice in the upper reaches of the HRB. At the same time, the large number laborers employed in the cities also directly leads to a decrease in agricultural efficien [49]. And the downstream cities, such as Suizhou, Jingmen, Tianmen, and Xiantao, ha not yet undergone any fundamental changes in their highly resource-intensive agricu tural operations, and there is a lack of green production and low-carbon technologi Therefore, in 2018, the country launched the Han River Ecological Economic Belt Dev opment Plan, which aims to promote the high-quality development of the ecological ec nomic belt in the middle and lower reaches.…”

Section: Betweenness Centralitymentioning

confidence: 99%

Spatial Association Network and Driving Factors of Agricultural Eco-Efficiency in the Hanjiang River Basin, China

Zhang

et al. 2023

Agriculture

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Reducing agricultural emissions and promoting carbon sequestration are vital for China to achieve its dual carbon goals. Achieving the green transformation of agricultural watersheds requires a thorough understanding of the internal transmission relationships within the watersheds and the underlying spatial correlation structures. This paper used the SBM-3E model to calculate the agricultural ecological efficiency of 17 prefecture-level cities in the Hanjiang River Basin (HRB) from 2010 to 2020, taking agricultural carbon emissions and a comprehensive non-point source pollution index as the unexpected output. The Gravity model and social network analysis methods were used to analyze the evolution characteristics of the network structure of agricultural ecological efficiency, and the secondary assignment procedure method was used to identify the driving factors from the planting structure, water use structure, and resource endowment. First, from 2010 to 2020, the overall agricultural ecological efficiency in the HRB demonstrates a declining trend, with efficiency values of 12.15, 9.40, and 6.67 in the upper, middle, and lower reaches, respectively. Second, the spatial correlation network density of agricultural ecological efficiency in the HRB is 0.17, with a network efficiency of 0.89. The correlation among units within the basin is relatively low, but stability is high. Moreover, the individual network spillover absorption capacity exhibits heterogeneity, and the status of each subject within the watershed follows a “core-edge” structure. Third, total water consumption and corn cultivation have a positive impact on the agricultural ecological efficiency network in the HRB, whereas agricultural water use and rice cultivation negatively influence the network. We propose policy recommendations to facilitate the advancement of green development in China’s agricultural watersheds and the achievement of the dual carbon goals.

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“…In addition to measuring agricultural production efficiency, scholars also explored its spatial differentiation and influencing factors (Xiong et al, 2021;Chopra et al, 2022). It is crucial to analyze the spatial characteristics of agricultural production efficiency for rational utilization of natural resources (Hu et al, 2022). And studying the influencing factors of agricultural production efficiency is the basis for the country to accurately formulate agricultural reform policies (Zhou et al, 2021).…”

Section: Literature Reviewmentioning

confidence: 99%

Spatiotemporal characteristics and influencing factors of agricultural low-carbon economic efficiency in china

Xiao

Zhang

et al. 2022

Front. Environ. Sci.

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Developing low-carbon agriculture can effectively avoid the waste of natural resources, thus contributing to the long-term sustainability of agriculture. This study uses the Super-SBM model to measure agricultural low-carbon economic efficiency (ALEE) in China from 2000 to 2018, then analyzes the spatial-temporal evolution characteristics. Simultaneously, the influencing factors of ALEE are investigated using spatial econometric model. The results show that: (1) In terms of temporal evolution, the ALEE in most provinces is declined over time, with only a few provinces improving. The ALEE in China and the three regions all show an obvious “L” trend of decline first and then stability. (2) From the perspective of spatial differentiation, provinces in eastern region have higher ALEE, while those in central and western regions have lower ALEE. Hainan’s ALEE has an absolute advantage, while Shanxi is the worst. (3) China’s ALEE shows obvious spatial agglomeration characteristics of H-H and L-L agglomeration, which are further enhanced over time. The number of L-L agglomeration provinces gradually increases, indicating that China’s ALEE has not been improved significantly. (4) Economic growth level and Agricultural scientific and Technological progress have effectively improved the ALEE. However, Capital deepening, Government fiscal expenditure, Agricultural planting structure, and Agricultural disaster all have negative impacts. Rural electricity consumption also has a negative impact, but the impact is not significant. To accelerate the development of low-carbon agriculture, all regions must not only pursue a differentiated low-carbon agriculture development path, but also accelerate agricultural transformation, strengthen research and development, and popularize low-carbon agricultural technologies, reduce the input of traditional agricultural means of production, optimize the agricultural industrial structure, and adjust agricultural subsidy policies.

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Spatiotemporal Heterogeneity of Agricultural Land Eco-Efficiency: A Case Study of 128 Cities in the Yangtze River Basin

Cited by 14 publications

References 50 publications

Effect of Zero Growth of Fertilizer Action on Ecological Efficiency of Grain Production in China under the Background of Carbon Emission Reduction

Effect of Zero Growth of Fertilizer Action on Ecological Efficiency of Grain Production in China under the Background of Carbon Emission Reduction

Spatial Association Network and Driving Factors of Agricultural Eco-Efficiency in the Hanjiang River Basin, China

Spatiotemporal characteristics and influencing factors of agricultural low-carbon economic efficiency in china

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