A stochastic frontier analysis of the efficiency of municipal solid waste collection services in China

Fan, Xiuhua; Yu, Bo; Chu, Zhujie; Chu, Xu; Huang, Wei‐Chiao; Zhang, Ling

doi:10.1016/j.scitotenv.2020.140707

Cited by 29 publications

(22 citation statements)

References 72 publications

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“…In other words, GRDP per capita is positively related to the efficiency of waste management. In contrast to the research results of (Fan, et al, 2020) GRDP per capita has a negative effect on the efficiency of waste management. However, this result was consistent with the study of Simões, et al, (2010) and Zaman (2016) showing that the high GRDP per capita will increase investment and economic incentive policies in the waste management system that are very much needed in increasing efficiency and recycling of waste.…”

Section: Discussioncontrasting

confidence: 88%

“…Various factors can influence waste management with social and economic conditions are the most influential factors (Simões, et al, 2010;Simões and Marques, 2011;Al-Khatib, et al, 2015;Babaei, et al, 2015;Zaman, 2016;Fan, et al, 2020). In addition, education also become significant effect because higher education level will increase knowledge and concern for the environment (Putra, et al, 2013;Cynk, 2017).…”

Section: Introductionmentioning

confidence: 99%

“…GRDP, which symbolizes the economic level of a region, also can increase the management because waste collection services and facilities can be better financially managed (Simões, et al, 2010). People in productive age (15-64) which have more knowledge of the environment and they are active in environmental activities or communities (Al-Khatib, et al, 2015;Fan, et al, 2020), the population density of an area also significant factors. The higher the population density in an area, the more difficult waste will be transported and collected (Vishwakarma, et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

“…Research on the efficiency of waste management using SFA has been conducted by Fan, et al (2020) and using input from various kinds of waste facilities including waste collection tools, transportation equipment and labors. research was conducted in Central Java Province using dummy areas (cities/districts) and education as factors that affect efficiency.…”

Section: Introductionmentioning

confidence: 99%

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Waste Management Service in Indonesia Based on Stochastic Frontier Analysis

Luthfiani

Atmanti²

2021

trikonomika

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Waste management in the big cities of Indonesia is still become a complicated problem. This article aims to analyze the influence of socio-economic factors which consist of GRDP per capita, population density, gender ratio, the proportion of population productive age and education on the efficiency of waste management service (WMS) in provincial capitals in Indonesia. The method used was Stochastic Frontier Analysis (SFA). The resulted WMS efficiency from this study were 0.39. Based on that value, it means the efficiency of WMS are still low and the efficiency can be improved about 61%. It also can be concluded that all variables were significantly influenced the WMS efficiency, except gender ratio. Expected that the result of this study can be used by both central and local government to improve the WMS in Indonesia.

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Section: Discussioncontrasting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Waste Management Service in Indonesia Based on Stochastic Frontier Analysis

Luthfiani

Atmanti²

2021

trikonomika

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“…From the perspective of efficiency evaluation methods, the existing research used efficiency measurement methods such as ecological footprint [13][14][15], layout coefficients [16,17], the stochastic frontier model [18][19][20][21], and data envelopment analysis (DEA) [22][23][24][25][26][27] based on different considerations, where the DEA method is the most widely used. The authors in [28] evaluated and studied the technical efficiency of 35 large membrane bioreactors (MBR).…”

Section: Introductionmentioning

confidence: 99%

A Green Technological Innovation Efficiency Evaluation of Technology-Based SMEs Based on the Undesirable SBM and the Malmquist Index: A Case of Hebei Province in China

2021

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Small- and medium-sized technology-based enterprises (technology-based SMEs) are an important part of China’s scientific and technological development. To a certain extent, the green technological innovation level of technology-based SMEs plays a significant role in supporting the overall development of social green innovation. Carrying out research on green technology innovation efficiency evaluations of technology-based SMEs is helpful to find existing problems to provide references for managers. Therefore, this paper proposes an evaluation system based on the undesirable slack based model (SBM) and the Malmquist index model. Firstly, the evaluation index system of the green technological innovation efficiency of technology-based SMEs in Hebei Province was constructed from the perspectives of input and output, in which environmental pollution is included in the evaluation factors of green innovation activities. Then, the undesirable SBM and the Malmquist index model of green technology innovation efficiency evaluation were constructed. Finally, the technological innovation efficiency of technology-based SMEs in Hebei Province in different regions and time nodes was comprehensively calculated and combined with the Malmquist index model to analyze the efficiency changes of technology-based SMEs in Hebei Province over different years. The results show that the overall level of green technological innovation efficiency of technology-based SMEs in Hebei Province is low, and the regional differences in various cities are obvious, but the main trend is rising. The research in this paper can further improve the research results in the field of evaluation of technology-based SMEs and technological innovation efficiency, as well as play an important role in improving the ecological competitiveness and sustainable development capabilities of the products of Hebei’s technology-based SMEs.

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