Assessment of agricultural sustainability performance in Dali Prefecture, China using the DPSIR Model

Urbanization and ecological efforts in China have significantly altered agricultural land use affecting both the quantity and quality of arable land. There has been a rise in the use of energy, fertilizers, pesticides, and plastic films to enhance production. However, these unsustainable farming pra...

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Main Authors: Yishan Chen, Harison Kiplagat Kipkulei, Zhiqiang Xie, Stefan Sieber
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:International Journal of Agricultural Sustainability
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/14735903.2024.2401201
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author Yishan Chen
Harison Kiplagat Kipkulei
Zhiqiang Xie
Stefan Sieber
author_facet Yishan Chen
Harison Kiplagat Kipkulei
Zhiqiang Xie
Stefan Sieber
author_sort Yishan Chen
collection DOAJ
description Urbanization and ecological efforts in China have significantly altered agricultural land use affecting both the quantity and quality of arable land. There has been a rise in the use of energy, fertilizers, pesticides, and plastic films to enhance production. However, these unsustainable farming practices have led to higher greenhouse gas emissions and the risk of agricultural non-point source pollution. The Yunnan Province government aims for sustainable agriculture to enhance product quality and China’s green farming. Yunnan’s proximity to the Yangtze, Lancang, and Yuan Rivers makes agriculture vital for the downstream livelihoods and biodiversity. This study explored factors affecting agriculture in Dali Prefecture, Yunnan Province. The study proposed a comprehensive system of 33 indexes to assess agricultural sustainability performance using the Driver-Pressure-State-Impact-Response framework. It employed a composite weight method combining the Analytic Hierarchy Process and Entropy Weight methods. The assessment showed that all counties except Dali City scored a performance index below 0.5. Furthermore, the “Response” indicator was found to be crucial in advancing agricultural sustainability. Conversely, factors leading to unsustainable changes, like “Driver” were less significant. The study reveals that data statistics prioritize indexes related to land resources while experts emphasize indexes linked to socioeconomic status when assessing agricultural sustainability.
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institution Kabale University
issn 1473-5903
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language English
publishDate 2024-12-01
publisher Taylor & Francis Group
record_format Article
series International Journal of Agricultural Sustainability
spelling doaj-art-26f3b6a20e5048ff9a56ea6e56b18cbf2025-01-06T14:27:41ZengTaylor & Francis GroupInternational Journal of Agricultural Sustainability1473-59031747-762X2024-12-0122110.1080/14735903.2024.2401201Assessment of agricultural sustainability performance in Dali Prefecture, China using the DPSIR ModelYishan Chen0Harison Kiplagat Kipkulei1Zhiqiang Xie2Stefan Sieber3Faculty of Bioscience Engineering, Ghent University, Ghent, BelgiumFaculty of Life Sciences, Humboldt-Universität zu Berlin, Berlin, GermanySchool of Earth Sciences, Yunnan University, Kunming, People’s Republic of ChinaFaculty of Life Sciences, Humboldt-Universität zu Berlin, Berlin, GermanyUrbanization and ecological efforts in China have significantly altered agricultural land use affecting both the quantity and quality of arable land. There has been a rise in the use of energy, fertilizers, pesticides, and plastic films to enhance production. However, these unsustainable farming practices have led to higher greenhouse gas emissions and the risk of agricultural non-point source pollution. The Yunnan Province government aims for sustainable agriculture to enhance product quality and China’s green farming. Yunnan’s proximity to the Yangtze, Lancang, and Yuan Rivers makes agriculture vital for the downstream livelihoods and biodiversity. This study explored factors affecting agriculture in Dali Prefecture, Yunnan Province. The study proposed a comprehensive system of 33 indexes to assess agricultural sustainability performance using the Driver-Pressure-State-Impact-Response framework. It employed a composite weight method combining the Analytic Hierarchy Process and Entropy Weight methods. The assessment showed that all counties except Dali City scored a performance index below 0.5. Furthermore, the “Response” indicator was found to be crucial in advancing agricultural sustainability. Conversely, factors leading to unsustainable changes, like “Driver” were less significant. The study reveals that data statistics prioritize indexes related to land resources while experts emphasize indexes linked to socioeconomic status when assessing agricultural sustainability.https://www.tandfonline.com/doi/10.1080/14735903.2024.2401201Agricultural sustainabilityurbanizationland use changerural declineDPSIRecological protection
spellingShingle Yishan Chen
Harison Kiplagat Kipkulei
Zhiqiang Xie
Stefan Sieber
Assessment of agricultural sustainability performance in Dali Prefecture, China using the DPSIR Model
International Journal of Agricultural Sustainability
Agricultural sustainability
urbanization
land use change
rural decline
DPSIR
ecological protection
title Assessment of agricultural sustainability performance in Dali Prefecture, China using the DPSIR Model
title_full Assessment of agricultural sustainability performance in Dali Prefecture, China using the DPSIR Model
title_fullStr Assessment of agricultural sustainability performance in Dali Prefecture, China using the DPSIR Model
title_full_unstemmed Assessment of agricultural sustainability performance in Dali Prefecture, China using the DPSIR Model
title_short Assessment of agricultural sustainability performance in Dali Prefecture, China using the DPSIR Model
title_sort assessment of agricultural sustainability performance in dali prefecture china using the dpsir model
topic Agricultural sustainability
urbanization
land use change
rural decline
DPSIR
ecological protection
url https://www.tandfonline.com/doi/10.1080/14735903.2024.2401201
work_keys_str_mv AT yishanchen assessmentofagriculturalsustainabilityperformanceindaliprefecturechinausingthedpsirmodel
AT harisonkiplagatkipkulei assessmentofagriculturalsustainabilityperformanceindaliprefecturechinausingthedpsirmodel
AT zhiqiangxie assessmentofagriculturalsustainabilityperformanceindaliprefecturechinausingthedpsirmodel
AT stefansieber assessmentofagriculturalsustainabilityperformanceindaliprefecturechinausingthedpsirmodel