Spatial-Temporal Integrated Measurement of the Efficiency of Urban Land Use in Yellow River Basin

Li, Hengji; Qu, Jianhua; Wang, Dai; Peng, Meng; Lu, Chenyu; Zeng, Jingjing

doi:10.3390/su13168902

Cited by 11 publications

(4 citation statements)

References 23 publications

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“…To be specific, we used the GDP of secondary and tertiary industries in municipal districts as economic benefits and converted it into the constant price of 2004 using the GDP indices of different provinces [85,86]. Both urban employee salaries and total retail sales of social consumer goods, which reflect the social benefits, were treated to comparable numbers [87]. In addition, the area of parks and green spaces had been selected to evaluate the desirable output of environmental benefits [38].…”

Section: Spatial Durbin Model (Sdm)mentioning

confidence: 99%

“…These are consistent with the findings of this paper. Besides, Li et al selected the treatment rate of industrial waste gas, wastewater, and soot as the desirable outputs in the SBM model, and measured the ULGUE in the YRB as well as its spatial distribution pattern [87]. According to the LISA aggregation results, the low-low aggregation area was in the Guanzhong Plain and the Loess Hills.…”

Section: Ulgue Variations In the Yrbmentioning

confidence: 99%

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Spatio-Temporal Urban Land Green Use Efficiency under Carbon Emission Constraints in the Yellow River Basin, China

Yang

2022

IJERPH

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In the context of rapid urbanization and limited land amount, it is essential to scientifically evaluate the urban land green use efficiency (ULGUE) to promote regional sustainable development. Current studies are of great value for enriching the theoretical system and application research of ULGUE. Still, most of them only consider industrial pollution but ignore carbon emission as an essential environmental influencing indicator. This paper introduced carbon emissions into the input-output indicator system, measured ULGUE of 57 cities in the Yellow River Basin (YRB) over the 2004–2017 periods using the super-efficiency slacked-based measure (Super-SBM) model, analyzed its spatio-temporal patterns with the kernel density estimation (KDE) model and spatial autocorrelation model, and then identified the influencing factors with the Spatial Durbin model (SDM). As shown by the results, firstly, the ULGUE in the YRB over the 2004–2017 periods showed a trend of first decreasing and then increasing. Secondly, the ULGUE exhibited spatio-temporal imbalance characteristics across the YRB. Thirdly, ULGUE was the interaction of multiple indicators, and its influencing factors had spatial spillover effects. All in all, this paper is fundamental to the high-quality development of cities in the background of the Chinese policy of “carbon peak, carbon neutralization”.

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Section: Spatial Durbin Model (Sdm)mentioning

confidence: 99%

Section: Ulgue Variations In the Yrbmentioning

confidence: 99%

Spatio-Temporal Urban Land Green Use Efficiency under Carbon Emission Constraints in the Yellow River Basin, China

Yang

2022

IJERPH

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“…Li al. [28] measured the land-use efficiency of 65 county-level cities in the Yellow River Basin using data envelopment analysis (DEA).…”

Section: Construction Of Dea Comprehensive Evaluation Modelmentioning

confidence: 99%

Evaluation and Empirical Research on Eco-Efficiency of Financial Industry Based on Carbon Footprint in China

et al. 2022

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Since finance is the core of economic development, the green development of the financial industry is an essential driving force not only for achieving the dual “carbon” goal of China but also for economic and social sustainable development. An accurate understanding of the ecological efficiency of the financial industry is of great importance for guiding sustainable economic development. In this paper, we first calculate the carbon footprint of China’s financial industry in 2012 and 2017 based on the life cycle theory and the input–output analysis method. Second, we analyze the primary sources and final flows of the carbon footprint of the financial industry in each province from the perspectives of the industrial chain and final demand. Finally, we estimate the ecological efficiency, emission reduction, and value-added potential of the financial industry by using the radially adjusted slack variable DEA model (SRAM-DEA) under two assumptions, natural disposability and managerial disposability. The results show that (1) the ecological efficiency of the financial industry in most provinces is low, and the regional differences are significant; (2) the overall ecological efficiency of the financial industry in 2017 was better than that in 2012; (3) technological innovation of financial products and the upgrading of capital supervision play an essential role in promoting the improvement of ecological efficiency. Especially, under managerial disposability, the ecological efficiency of the financial industry in each province has a greater potential for emission reduction and added value.

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“…Previous research on LUEE has focused on two aspects: efficiency measurement and impact factor analysis. The widely used measurement methods are the modified SBM based on data envelopment analysis (SBM-DEA) [1,4,5] and the super-SBM [6]. Carbon emissions [6,7] and non-point-source pollution [8] have usually been used as undesired outputs for measurement.…”

Section: Introductionmentioning

confidence: 99%

Relationship of Cooperative Management and Green and Low-Carbon Transition of Agriculture and Its Impacts: A Case Study of the Western Tarim River Basin

Guo

Wang

et al. 2023

Sustainability

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Clarifying the relationship between cooperative management and cultivated land use eco-efficiency (LUEE) is of great significance to promoting the green and low-carbon transition of agriculture. To explore the role of cooperative management in the green and low-carbon transition of agriculture of smallholder farmers in the western Tarim River Basin, in this study, based on the field survey data of 444 farmers in 2021, the carbon emissions of cultivated land were used to measure the LUEE with the slack-based model (SBM) with undesirable outputs. Then, propensity score matching (PSM) was used to test the relationship between cooperative management and LUEE. Additionally, the mediating effect of farmers’ green development willingness (FGDW) and the moderating effect of farmers’ part-time off-farm employment (POE) on the relationship was explored. The present study hypothesized that joining cooperatives has an improving effect on the LUEE, which can be achieved by increasing FGDW, and this effect can be enhanced by farmers’ POE. The results show that: (1) The LUEE was generally low (average LUEE value: 0.2678), and there was a significant difference between farmer households (the difference between the maximum and minimum values was as high as 2.8716). (2) Cooperative management had a significant improving effect on the LUEE. The LUEE of cooperative farmers (ACF) increased by 8.6% compared with that of non-cooperative farmers (NACF). (3) Joining a cooperative could improve the LUEE by improving FGDW. (4) POE could enhance the improving effect of cooperative management on the LUEE. Overall, all three hypotheses were supported: cooperative management could achieve scale effects that small farmers cannot achieve, which had a positive effect on improving the LUEE. This study provides a new ecological perspective for the analysis of the relationship between agricultural cooperatives and LUEE and decision-making reference for the rational utilization of cultivated land in northwest China.

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Spatial-Temporal Integrated Measurement of the Efficiency of Urban Land Use in Yellow River Basin

Cited by 11 publications

References 23 publications

Spatio-Temporal Urban Land Green Use Efficiency under Carbon Emission Constraints in the Yellow River Basin, China

Spatio-Temporal Urban Land Green Use Efficiency under Carbon Emission Constraints in the Yellow River Basin, China

Evaluation and Empirical Research on Eco-Efficiency of Financial Industry Based on Carbon Footprint in China

Relationship of Cooperative Management and Green and Low-Carbon Transition of Agriculture and Its Impacts: A Case Study of the Western Tarim River Basin

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