中国耕地规模利用水平及其驱动因素的定量表征——基于30年综合评价视角

IF 6.5 1区 经济学 Q1 DEVELOPMENT STUDIES
Feng Tang , Li Wang , Meichen Fu , Pengtao Zhang , Ni Huang , Wensheng Duan , Yuelin Zhang
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引用次数: 0

摘要

提高农田规模利用水平是实现零饥饿可持续发展目标和保障粮食安全的关键。然而,关于这一主题的定量研究相对缺乏。本文研究的重点是如何在长时间序列上量化和表征中国农田规模利用水平及其驱动因素的科学问题。基于长期多源时空数据,综合运用熵权-突变级数模型和GTWR模型构建了中国耕地规模利用的定量分析方法,定量评价并揭示了近30年来中国耕地规模利用的时空分异格局及其驱动因素。结果表明:①1990 ~ 2020年,中国耕地规模利用水平呈缓慢上升趋势,平均水平在0.3 ~ 0.4之间,以中低等级为主;89%的地级市规模利用水平上升,11%的地级市规模利用水平下降。其中东北地区增幅最大,长三角和珠三角地区降幅最大。(2)驱动因素影响程度排序为:农田地形起伏>;人均耕地面积;二、三产业比重城市化率>;人口密度;土地利用强度>;农田标高>;人均国内生产总值农村居民人均纯收入;道路无障碍>;距离城市土地。各驱动因子对规模利用水平的影响程度和方向存在显著的空间差异,且随时间的变化特征不同。我们建议未来的工作重点是提高农业机械化,推进土地综合整理,加强农田保护,以促进农田的可持续规模利用。本研究可为中国不同地区农地资源规模化、可持续利用的管理政策制定提供科学参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantitative characterization of China's farmland scale utilization level and driving factors: A 30-year comprehensive evaluation perspective
Enhancing farmland scale utilization is crucial for achieving the sustainable development goal of zero hunger and ensuring food security. However, quantitative research on this topic is relatively lacking. This study focuses on the scientific issue of how to quantify and characterize China's farmland scale utilization level and its driving factors in a long time series. Based on long-term multi-source spatiotemporal data, we comprehensively used the entropy weight-catastrophe progression model and GTWR model to construct a quantitative analysis method for the farmland scale utilization, quantitatively assessed and revealed the spatiotemporal differentiation patterns and driving factors of farmland scale utilization in China over the past 30 years. We found that: (1) Farmland scale utilization level in China has shown a slow upward trend from 1990 to 2020, with an average value ranging from 0.3 to 0.4, mainly at lower and medium grades. 89% of the prefecture-level cities experienced an increase in scale utilization level, while 11% saw a decrease. The most significant increase occurred in the Northeastern China, while the most significant decrease occurred in the Yangtze River Delta and the Pearl River Delta. (2) The influence degree of driving factors was ranked as follows: farmland terrain relief > per capita farmland area > proportion of secondary and tertiary industries > urbanization rate > population density > land use intensity > farmland elevation > per capita GDP > rural per capita net income > road accessibility > distance to the urban land. Each driving factor showed significant spatial differences in the degree and direction of impact on the scale utilization level, and exhibited different change characteristics over time. We recommend that future efforts should be focus on enhancing agricultural mechanization, promoting comprehensive land consolidation, and strengthening farmland protection to promote sustainable scale utilization of farmland. This study can provide scientific references for the formulation of management policies for the large-scale and sustainable utilization of farmland resources in different regions of China.
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来源期刊
CiteScore
10.50
自引率
10.30%
发文量
151
审稿时长
38 days
期刊介绍: Habitat International is dedicated to the study of urban and rural human settlements: their planning, design, production and management. Its main focus is on urbanisation in its broadest sense in the developing world. However, increasingly the interrelationships and linkages between cities and towns in the developing and developed worlds are becoming apparent and solutions to the problems that result are urgently required. The economic, social, technological and political systems of the world are intertwined and changes in one region almost always affect other regions.
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