2000-2020 年中国耕地生态效益的时空特征及其影响因素

IF 2.7 3区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Shaoting Li, Na Mu, Yanjun Ren, Thomas Glauben
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引用次数: 0

摘要

提高耕地生态效益(CLUE)可有效促进农业可持续发展,尤其是在耕地生态效益普遍较低的发展中国家。本研究利用中国省级数据评估了 2000 年至 2020 年耕地生态效益的时空演变,并通过面板 Tobit 模型确定了耕地生态效益的影响因素。此外,考虑到农业生产的不良产出,我们将碳排放和非点源污染纳入全球基准-不良产出-超效率-基于松弛的计量(GB-US-SBM)模型,该模型结合了全球基准技术、不良产出、超效率和基于松弛的计量。结果表明,从 2000 年到 2020 年,中国的 CLUE 呈上升趋势,增长率为 2.62%。中国 CLUE 的时间演变可分为三个不同阶段:波动下降期(2000-2007 年)、逐步上升期(2008-2014 年)和快速增长期(2015-2020 年)。与粮食主产区(MPA)相比,非粮食主产区(Non-MPA)的CLUE较低。空间集聚效应呈东北-西南带状分布,双中心移动轨迹呈以河南省洛阳市为中心的 "P "形。从CLUE的影响因素来看,科技投入对提高CLUE的作用最大,而灌溉指数的负面影响最大。值得注意的是,这两个影响因素对海洋保护区和非海洋保护区的影响不同。因此,相关部门应制定政策,提高科技水平,改善灌溉条件,促进耕地的可持续利用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatiotemporal characteristics of cultivated land use eco-efficiency and its influencing factors in China from 2000 to 2020

Improving cultivated land use eco-efficiency (CLUE) can effectively promote agricultural sustainability, particularly in developing countries where CLUE is generally low. This study used provincial-level data from China to evaluate the spatiotemporal evolution of CLUE from 2000 to 2020 and identified the influencing factors of CLUE by using a panel Tobit model. In addition, given the undesirable outputs of agricultural production, we incorporated carbon emissions and nonpoint source pollution into the global benchmark-undesirable output-super efficiency-slacks-based measure (GB-US-SBM) model, which combines global benchmark technology, undesirable output, super efficiency, and slacks-based measure. The results indicated that there was an upward trend in CLUE in China from 2000 to 2020, with an increase rate of 2.62%. The temporal evolution of CLUE in China could be classified into three distinct stages: a period of fluctuating decrease (2000–2007), a phase of gradual increase (2008–2014), and a period of rapid growth (2015–2020). The major grain-producing areas (MPAs) had a lower CLUE than their counterparts, namely, non-major grain-production areas (non-MPAs). The spatial agglomeration effect followed a northeast-southwest strip distribution; and the movement path of barycentre revealed a “P” shape, with Luoyang City, Henan Province, as the centre. In terms of influencing factors of CLUE, investment in science and technology played the most vital role in improving CLUE, while irrigation index had the most negative effect. It should be noted that these two influencing factors had different impacts on MPAs and non-MPAs. Therefore, relevant departments should formulate policies to enhance the level of science and technology, improve irrigation condition, and promote sustainable utilization of cultivated land.

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来源期刊
Journal of Arid Land
Journal of Arid Land ENVIRONMENTAL SCIENCES-
CiteScore
4.70
自引率
6.70%
发文量
768
审稿时长
3.2 months
期刊介绍: The Journal of Arid Land is an international peer-reviewed journal co-sponsored by Xinjiang Institute of Ecology and Geography, the Chinese Academy of Sciences and Science Press. It aims to meet the needs of researchers, students and practitioners in sustainable development and eco-environmental management, focusing on the arid and semi-arid lands in Central Asia and the world at large. The Journal covers such topics as the dynamics of natural resources (including water, soil and land, organism and climate), the security and sustainable development of natural resources, and the environment and the ecology in arid and semi-arid lands, especially in Central Asia. Coverage also includes interactions between the atmosphere, hydrosphere, biosphere, and lithosphere, and the relationship between these natural processes and human activities. Also discussed are patterns of geography, ecology and environment; ecological improvement and environmental protection; and regional responses and feedback mechanisms to global change. The Journal of Arid Land also presents reviews, brief communications, trends and book reviews of work on these topics.
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