What Drives Land Abandonment in Core Grain-Producing Areas? Evidence from China

Wang, Yumeng; Li, Jiaxu; Kong, Xiangzhi

doi:10.3390/ijerph19095090

Cited by 3 publications

(1 citation statement)

References 57 publications

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“…There is a lack of empirical and empirical research from grain-producing areas. In fact, in-depth exploration of the internal differences in ECLU in grain-producing areas and its future evolution trend have profound reference significance for countries and regions to scientifically and rationally utilize cultivated land resources and ensure food supply [51,52]. Finally, the existing research mainly focuses on the external factors affecting ECLU, and less deeply analyzes its impact on ECLU from the input factors of cultivated land itself.…”

Section: Introductionmentioning

confidence: 99%

Spatial Distribution Evolution and Optimization Path of Eco-Efficiency of Cultivated Land Use: A Case Study of Hubei Province, China

Zhang

et al. 2022

Sustainability

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Cultivated land is the foundation of human existence and development. Eco-efficiency of Cultivated Land Use (ECLU) is a comprehensive index to measure the economic, social, and ecological output of cultivated land. Therefore, it is of great theoretical and practical significance to describe the evolution characteristics of ECLU, and to explore the improvement path of ECLU for realizing the sustainable utilization of cultivated land resources, coping with the food crisis, and alleviating global warming. Hubei Province, as a traditional major province of grain production in China, can provide a reference for other developing countries in the world in terms of its management experience and technology in the production and utilization of cultivated land. In this study, the carbon emissions and pollution emissions of cultivated land use were incorporated into the calculation system of ECLU. Firstly, the undesired super-efficiency Slack-Based Measure (SBM) model was used to calculate ECLU in Hubei Province from 2008 to 2020. Secondly, the Exploring Space Date Analysis (ESDA) method was used to characterize its temporal and spatial evolution characteristics. Finally, the improvement direction of ECLU in the future was proposed from the perspective of cultivated land input factors. The research shows that, first of all, from 2008 to 2020, ECLU in Hubei Province showed a fluctuating growth trend, rising from 0.457 to 0.521, during which, it experienced two “U”-shaped changes, in 2011 and 2016. Secondly, the spatial agglomeration effect of ECLU in Hubei Province continued to increase, mainly showing two agglomeration patterns of high–high and low–low. Finally, ECLU in the study area was significantly negatively correlated with the redundancy rate of input factors. There was a redundancy in the input factors of cultivated land production, among which, the redundancy degree of agricultural employees (AM), chemical fertilizer usage (CFU), and total power of agricultural machinery (AMP) were more serious. Based on this, this paper proposes to adhere to the principle of adapting measures to local conditions and progress in an orderly manner, and to formulate differentiated and phased policies for improving ECLU according to natural resource endowments, and social and economic development conditions in different regions, in order to achieve the coordinated and sustainable development of people and cultivated land.

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Section: Introductionmentioning

confidence: 99%

Spatial Distribution Evolution and Optimization Path of Eco-Efficiency of Cultivated Land Use: A Case Study of Hubei Province, China

Zhang

et al. 2022

Sustainability

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Characteristics and driving factors of abandoned cultivated land in the hilly regions of southern China: A case study in Longnan, Jiangxi Province

Chen

et al. 2023

J. Mt. Sci.

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Identification and spatial pattern analysis of abandoned farmland in Jiangxi Province of China based on GF-1 satellite image and object-oriented technology

Liang,

2024

Front. Environ. Sci.

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IntroductionIndustrialization, urbanization, wars, and conflicts have caused farmland abandonment and exacerbated food security issues, posing a major challenge to global food security. Therefore, it is of great significance to monitor the status of crop abandonment in major grain-producing areas. Most of previous studies using remote sensing technology to extract abandoned farmland have small scale and low accuracy, and there was lack of large-scale studies using GF-1 image. Particularly in the Jiangxi Province, as the main grain-producing area of China, the situation of farmland abandonment is still unknown.MethodsIn this paper, GF-1 WFV remote sensing images are used as the main data source. A binary decision tree process based on the object-oriented technology classification and vector similarity function change detection methods are adopted to extract abandoned farmland information in Jiangxi Province during 2020–2022 and to describe its spatial pattern.ResultsThe results show that the overall accuracy of GF-1 remote sensing image extraction based on object-oriented technology is 93%, and the Kappa coefficient is 0.89. The abandoned farmland in Jiangxi Province covers an extensive area of 3.41 × 105 hm2, with an abandonment rate of 9.87%. Abandonment is greater in the north and less in the south, with a spatial distribution pattern characterized by sparse coverage in mountainous areas and aggregation in plains areas. Farmland abandonment is most severe in the areas surrounding the northern Poyang Lake Plain, and the degree of farmland abandonment varies significantly among various prefecture cities as well as among different counties. The highest rate of farmland abandonment in prefecture cities was 13.18% and the lowest was 7.13%. The highest rate of farmland abandonment in the county was 24.22%, and the lowest was 1.99%.DiscussionThe results are helpful in understanding the status of abandoned farmland in major grain-producing areas. It is believed they are significant for farmland protection and real-time national food security strategy.

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What Drives Land Abandonment in Core Grain-Producing Areas? Evidence from China

Cited by 3 publications

References 57 publications

Spatial Distribution Evolution and Optimization Path of Eco-Efficiency of Cultivated Land Use: A Case Study of Hubei Province, China

Spatial Distribution Evolution and Optimization Path of Eco-Efficiency of Cultivated Land Use: A Case Study of Hubei Province, China

Characteristics and driving factors of abandoned cultivated land in the hilly regions of southern China: A case study in Longnan, Jiangxi Province

Identification and spatial pattern analysis of abandoned farmland in Jiangxi Province of China based on GF-1 satellite image and object-oriented technology

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