Decoupling economic growth from water consumption in the Yangtze River Economic Belt, China

Kong, Yang; He, Weijun; Yuan, Liang; Zhang, Zhaofang; Gao, Xin; Zhao, Yiqing; Degefu, Dagmawi Mulugeta

doi:10.1016/j.ecolind.2021.107344

Cited by 88 publications

(41 citation statements)

References 30 publications

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“…Relying on the resource advantages of the Yangtze River Golden Waterway, the YREB has achieved rapid economic development and become the main force leading China's high-quality economic development [9][10][11]. Due to its advantageous geographical location, the water and soil resources of the YREB are sufficient [12]; its total grain output accounts for more than one-third of the country [13]. In addition, the YREB is rich in mineral resources and is now one of the most concentrated areas of modern industry in China [14,15].…”

Section: Introductionmentioning

confidence: 99%

Input-Output Efficiency of Water-Energy-Food and Its Driving Forces: Spatial-Temporal Heterogeneity of Yangtze River Economic Belt, China

Ding

et al. 2022

IJERPH

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The high-quality development of the Yangtze River Economic Belt (YREB) plays a crucial role in economic transformation in China. Climate change, rapid population growth, and increased urbanization have contributed towards increased pressures on the water, energy, food (WEF) nexus system of YREB. Thus, there is an imperative need to improve the efficiency of WEF in YREB. However, few studies have conducted spatial-temporal heterogeneity exploration of YREB about the input-output efficiency of WEF (IOE-WEF). Using panel data from 2008–2017, a super slack based model (SSBM), combined with the spatial autocorrelation and spatial econometric method, were proposed to calculate the IOE-WEF of YREB’s 11 provinces, the results indicated that: (1) From the perspective of time, the IOE-WEF in YREB was relatively low and displayed a fluctuating downward pattern while considering the undesirable outputs. (2) From the perspective of space, the spatial distribution of IOE-WEF in YREB was uneven. The efficiency values of the three sub-regions of YREB were “the lower reaches > the middle reaches > the upper reaches”. The IOE-WEF of YREB had a prominent positive spatial correlation and also had a spatial spillover effect. (3) The spatial aggregation effect of IOE-WEF of YREB is gradually weakening. The spatial aggregation types of IOE-WEF in YREB were “high-high” cluster areas in lower reaches and “low-low” cluster areas in upper reaches. (4) From the perspective of driving forces, environmental regulation and technological innovation promoted the improvement of IOE-WEF of YREB, while the industrial structure and mechanization level inhibited the improvement of IOE-WEF of YREB. Furthermore, the role of government support of IOE-WEF of YREB was not obvious. The improvement of IOE-WEF in adjacent regions also had a notable positive spatial spillover effect on the region.

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Section: Introductionmentioning

confidence: 99%

Input-Output Efficiency of Water-Energy-Food and Its Driving Forces: Spatial-Temporal Heterogeneity of Yangtze River Economic Belt, China

Ding

et al. 2022

IJERPH

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“…e simulation analysis shows that the probability of both sides choosing a strategy is positively related to the payoff of the strategy. erefore, the enterprise should introduce the performance commission reward which is related to the manager's long-term benefit of the enterprise and establish an incentive mechanism through stocks to bind the interests of both parties [49]. In addition, the income of speculation can be reduced by strengthening corporate governance, improving internal control system, and establishing strict supervision and whistle-blowing mechanisms.…”

Section: Discussionmentioning

confidence: 99%

Simulating the Principal‐Agent Relationship between Enterprise Owners and Professional Managers Using Evolutionary Game Theory and System Dynamics

et al. 2021

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The separation of ownership and management is a common operation mode in modern enterprises, which establishes the principal-agent relationship between modern enterprise owners and professional managers. Due to the information asymmetry and interest conflicts between the principal and agent, the principal-agent problem will occur and affect the efficiency of enterprise operations. Therefore, it is necessary to propose measures to improve the principal-agent relationship. This paper analyzed the principal-agent problem between enterprise owners and professional managers based on system dynamics, evolutionary game, and principal-agent theory and built a principal-agent evolutionary game model to analyze the rule of strategic choices and predict the equilibrium outcomes of different scenarios. In addition, the influence of different factors on strategic choices was simulated by the system dynamics model. The results depicted that the basic benefits and costs of cooperation are the key factors of the strategic choices, and the gap between the expected payoffs of different strategies also affects the probability of choosing those cooperative strategies. Proper supervision, standardization of the managerial labor market, and establishment of long-term incentives are crucial to cooperation between enterprise owners and professional managers.

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“…Determining the variables affecting the decoupling index in the agricultural sector comprehensiveness and compatibility of this model (Wang and Zhang, 2021;Kong et al, 2021). In this regard, Tapio (2005) defined eight decoupling modes that are reported in Table 1.…”

Section: Literature Indicatorsmentioning

confidence: 99%

Investigating the relationship between economic growth, agricultural expansion and chemical pollution in Iran through decoupling index analysis

Najafabadi¹,

Mirzaei²,

Laskookalayeh

et al. 2022

Preprint

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The balance between the growth of the agricultural economy and the spread of pollution due to consumption of chemical inputs is one of the major challenges in agricultural sector. In this regard, the use of decoupling index to decouple the link between agricultural production and pollution caused by the consumption of chemical inputs, such as fertilizers and pesticides, is emphasized. Therefore, in the present study, the decoupling index is first calculated in relation to the emission of pollution caused by the use of chemical inputs in the process of agricultural production during the period of 1991-2016 in Iran. Then, by systematically reviewing the existing literature, the factors affecting the decoupling index in the agricultural sector of Iran are evaluated using the ARDL model. The results showed that in recent years, pollution indicators in relation to chemical inputs have not had an ideal trend and despite the further growth of agricultural production, the quality of the environment has experienced a declining trend. The results of the decoupling index related to the use of chemical pesticides and fertilizers in Iran show that during a 26-year period, only 5 and 4 years of use of these inputs have had a sustainable state compared to production growth. Also, among the factors affecting the decoupling index, the value-added variable of the agricultural sector has the most positive effect on this index and thus, increases the level of pollution in the agricultural sector in the long run. The variables of gross domestic production (GDP) and the area under cereal cultivation in the agricultural sector will also increase the decoupling index.

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Decoupling economic growth from water consumption in the Yangtze River Economic Belt, China

Cited by 88 publications

References 30 publications

Input-Output Efficiency of Water-Energy-Food and Its Driving Forces: Spatial-Temporal Heterogeneity of Yangtze River Economic Belt, China

Input-Output Efficiency of Water-Energy-Food and Its Driving Forces: Spatial-Temporal Heterogeneity of Yangtze River Economic Belt, China

Simulating the Principal‐Agent Relationship between Enterprise Owners and Professional Managers Using Evolutionary Game Theory and System Dynamics

Investigating the relationship between economic growth, agricultural expansion and chemical pollution in Iran through decoupling index analysis

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