Decoupling of wastewater eco-environmental damage and China's economic development

Liu, Conghu; Cai, Wei; Zhai, Mengyu; Zhu, Guang; Zhang, Cuixia; Jiang, Zhigang

doi:10.1016/j.scitotenv.2021.147980

Cited by 71 publications

(34 citation statements)

References 29 publications

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“…Cooper ( 1991 ) mentioned the “green logistics” issue in “European Logistics” and thereafter, scholars began to pay attention to LISD. The research field of LISD mainly focuses on green low-carbon logistics, reverse logistics (Richnak and Gubova 2021 ), and the sustainable supply chain (Alarcon et al 2021 ; Liu et al 2021a , b , c , d ; Kainuma and Tawara 2005 ). Research perspectives mainly include customer service (Lambert and Sharma 1990 ; Paddeu et al 2017 ), logistics enterprise (Yan et al 2011 ; Pandian and Abdul-Kader 2015 ), efficiency (Li et al 2020 ; Mariano et al 2017 ; Chen et al 2016 ), and industry (Rezaei et al 2018 ).…”

Section: Introductionmentioning

confidence: 99%

Data-driven evaluation and optimization of the sustainable development of the logistics industry: case study of the Yangtze River Delta in China

Ding

Liu²,

Zhang³

et al. 2022

Environ Sci Pollut Res

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In this study, a data-driven way is proposed to evaluate and optimize the sustainable development of the logistics industry (LI). Based on a comprehensive consideration of economic, societal, and environmental factors, an evaluation index system was established for the sustainable development of the logistics industry (LISD). Logistics industry-related data were collected from the Yangtze River Delta (YRD) from 2011 to 2020. The anti-entropy method was used to determine the index weight and process the data. Furthermore, the coupling harmonization degree and barrier degree models were used to analyze the coordinated development of each subsystem and identify key obstacles. Our results indicate that there are significant temporal and spatial differences in the level of LISD in YRD, with Shanghai (score 0.4834) being the best and Anhui (score 0.4553) the worst, showing a wave-like evolution in time. The coupling and coordination states among the subsystems are significantly different, with that of environmental benefits and other subsystems being poor. Moreover, innovation ability and environmental benefits are the main obstacle factors of this system. Based on the results of this study, targeted optimization countermeasures are put forward and evaluation indicators and research methods are suggested, which will provide the government and practitioners decision support, as well as provide theoretical and methodological support for LISD.

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Section: Introductionmentioning

confidence: 99%

Data-driven evaluation and optimization of the sustainable development of the logistics industry: case study of the Yangtze River Delta in China

Ding

Liu²,

Zhang³

et al. 2022

Environ Sci Pollut Res

Self Cite

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“…Providing natural resources, space and basic material conditions for human survival, the ecological environment is a basic guarantee of human survival and is the basis of social development [1]. In recent decades, the eco-environment in various regions of China has been increasingly disturbed by global climate change and human activities [2][3][4]. Located in the northern part of the Tibetan Plateau, the Qaidam Basin has an inherently fragile and sensitive ecological environment [5].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Eco-Environmental Quality in Qaidam Basin Based on the Ecological Index (MRSEI) and GEE

2021

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As the population has increased and the economy has developed in the Qaidam Basin, the demand for food and energy in the basin has increased, and the contradiction between economic development and ecological protection is gradually becoming prominent. In this study, the eco-environmental quality of the Qaidam Basin from 1986 to 2019 was evaluated and analyzed based on the Modified Remote Sensing Ecological Index (MRSEI) retrieved by the Google Earth Engine (GEE) and meteorological and socioeconomic auxiliary data. The results show that (1) the Qaidam Basin had a lower overall level of eco-environmental quality, with higher eco-environmental quality in the southeastern part of the basin and lower eco-environmental quality in the central and northwestern parts of the basin. (2) During the period of 1986 to 2019, the eco-environmental quality of the Qaidam Basin started to reverse in 2003; it decreased first and then increased, and the overall performance showed an upward trend over the past 34 years. The most obvious changes were in the northwestern, northeastern, southwestern and central parts of the basin. The eco-environmental quality continued to decline in the northwestern and rise in the northeastern and southwestern regions, and in the central part, it decreased first and then plateaued. (3) The eco-environmental quality of the Qaidam Basin was affected by both natural and human factors. From 1986 to 2019, the “warm and wet” climate in the basin promoted the growth of vegetation. Furthermore, the optimization of industrial structures alleviated the pressure of agriculture and livestock and jointly improved the ecological environment in the Qaidam Basin.

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“…The intention is to focus on the development and innovation of digital agriculture [1,2], promote the optimal allocation of agricultural resources [3], accelerate the optimization of agricultural industrial structures [4], improve the efficiency and competitiveness of agricultural production and promote its sustainable development. Nevertheless, the increase in world population [5], shortage of water resources [6,7], and environmental pollution [8,9], are creating new challenges for the sustainable development of world agriculture [10]. Therefore, it is Processes 2021, 9, 2036 2 of 18 necessary to promote a sustainable agricultural model [11], build evaluation indicators based on these challenges, and objectively measure the capacity of regional sustainable agricultural development by using data to optimize its capability.…”

Section: Introductionmentioning

confidence: 99%

Data-Driven Evaluation and Optimization of Agricultural Sustainable Development Capability: A Case Study of Northern Anhui

Luo

Fan

2021

Processes

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Human survival depends on the sustainable development of agriculture. This study constructs a data-driven evaluation and optimization method of agricultural sustainable development capacity, aiming to better cope with challenges such as environmental pollution and excessive consumption of resources and energy, as well as improve agricultural economic level. Further, an evaluation index system was constructed based on comprehensive consideration of energy and resources utilization, environmental pollution, and agricultural economy. After simplifying and integrating the data, a data envelopment analysis model was constructed to quantitatively evaluate the capability for agricultural sustainable development and its changing trend. Moreover, its influencing factors were analyzed from the perspective of input, which provides accurate countermeasures for improving agricultural sustainable development ability, resource utilization efficiency, and process optimization. This study shows the realization process of the aforementioned method for the agricultural development of six cities in northern Anhui from 2010 to 2019. Our results suggest that the sustainable development ability of northern Anhui is weak, but overall, has a good development trend. Based on our results, some countermeasures were proposed to control production scale reasonably, reduce environmental load, and improve resource efficiency, which provides a reference for policymakers to guide and standardize the development of regional agriculture.

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Decoupling of wastewater eco-environmental damage and China's economic development

Cited by 71 publications

References 29 publications

Data-driven evaluation and optimization of the sustainable development of the logistics industry: case study of the Yangtze River Delta in China

Data-driven evaluation and optimization of the sustainable development of the logistics industry: case study of the Yangtze River Delta in China

Evaluation of Eco-Environmental Quality in Qaidam Basin Based on the Ecological Index (MRSEI) and GEE

Data-Driven Evaluation and Optimization of Agricultural Sustainable Development Capability: A Case Study of Northern Anhui

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