“…Efforts have been made to link macro-institutions and policies to the WTI capacity, for example, the river chief system 11 , diversified financing mechanisms and professional management systems 12 , community associations institution 13 , preventive maintenance policy 14 , and sharing and eco-industrial park policies 15 , 16 . However, the construction and operation mode selected for the WTI behind the macro-institutions and policies is lack of understanding.…”
For emerging economies lacking public budgets, continuous improvement of urban wastewater treatment efficiency (UWTE) requires effective government supervision of wastewater treatment infrastructures (WTIs) and participation of private capital seeking to profit-maximising. However, to what extent this public–private partnership (PPP) model, aimed at a reasonable sharing of benefit and risk, in delivering WTIs can improve the UWTE is unknown. We evaluated the impact of the PPP model on the UWTE by collecting data from 1303 urban wastewater treatment PPP projects in 283 prefecture-level cities in China from 2014 to 2019 and used data envelopment analysis and Tobit regression model. The UWTE was significantly higher in prefecture-level cities that introduced the PPP model in the construction and operation of WTIs, particularly those with a feasibility gap subsidy, competitive procurement, privatised operation, and non-demonstration. Moreover, the effects of PPPs on UWTE were limited by the economic development level, marketisation, and climatic conditions.
“…Efforts have been made to link macro-institutions and policies to the WTI capacity, for example, the river chief system 11 , diversified financing mechanisms and professional management systems 12 , community associations institution 13 , preventive maintenance policy 14 , and sharing and eco-industrial park policies 15 , 16 . However, the construction and operation mode selected for the WTI behind the macro-institutions and policies is lack of understanding.…”
For emerging economies lacking public budgets, continuous improvement of urban wastewater treatment efficiency (UWTE) requires effective government supervision of wastewater treatment infrastructures (WTIs) and participation of private capital seeking to profit-maximising. However, to what extent this public–private partnership (PPP) model, aimed at a reasonable sharing of benefit and risk, in delivering WTIs can improve the UWTE is unknown. We evaluated the impact of the PPP model on the UWTE by collecting data from 1303 urban wastewater treatment PPP projects in 283 prefecture-level cities in China from 2014 to 2019 and used data envelopment analysis and Tobit regression model. The UWTE was significantly higher in prefecture-level cities that introduced the PPP model in the construction and operation of WTIs, particularly those with a feasibility gap subsidy, competitive procurement, privatised operation, and non-demonstration. Moreover, the effects of PPPs on UWTE were limited by the economic development level, marketisation, and climatic conditions.
“…Some regions have deeply analyzed the relationship between social economy and water environment development quality by building a coordinated development model to provide suggestions for environmental protection [7]. In addition, wastewater treatment efficiency is higher in southeastern China than in northwestern China [8].…”
The construction of green infrastructure (GI) plays an important role in improving the rural ecological functions and building a green livable environment. In this paper, the methods of morpho spatial pattern analysis (MSPA) and space syntax analysis are used to study the GI network construction in Suining County, Jiangsu Province. The results show that: (1) In 2018, the area of ecological patches increased by 110% compared with 1998, and the utilization rate of the GI network was significantly improved. (2) A total of 66 ecological corridors were analyzed in the county, and the main corridors were distributed in the central and western regions. The correlation analysis of core ecological patches in 1998, 2008, and 2018 proved that location factors had the greatest impact on the results of function and connectivity. (3) According to the optimization results, ecological benefits can be improved through engineering measures to realize the revitalization and development of regional rural areas.
“…Recently, studies have focused on the potential impact of macro-institutions and policies on UWTE. For example, China's river chief system links wastewater treatment to the performance assessment of local government officials, causing stateowned urban wastewater treatment enterprises to expand their wastewater transportation and treatment capacity [12]. To address excessive wastewater discharge caused by the agglomeration of various types of enterprises in the development of industrial parks, enterprises share and pay for wastewater treatment facilities constructed and operated by the government.…”
Continuous improvement of urban wastewater treatment efficiency (UWTE) requires effective government supervision and increased private capital. However, it is unknown to what extent this public-private partnership (PPP) can improve the UWTE. We collected data from 1,303 urban wastewater treatment PPP projects in 283 prefecture-level cities in China from 2014 to 2019. These data were analysed using data envelopment analysis (DEA) and Tobit regression model to evaluate the effect of the PPP model on the UWTE. The UWTE was significantly higher in prefecture-level cities that introduced the PPP model in the construction and operation of a wastewater treatment infrastructure, especially those with a feasibility gap subsidy, competitive procurement, privatised operation, and non-demonstration. Furthermore, PPPs’ effect on UWTE were limited by the level of economic development, marketisation, and climatic conditions. This study presents a model for the construction and operation wastewater treatment infrastructure in developing countries lacking public funds.
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