Redirigiendo al acceso original de articulo en 24 segundos...
ARTÍCULO
TITULO

Driving Factors and Scale Effects of Residents? Willingness to Pay for Environmental Protection under the Impact of COVID-19

Hongkun Zhao    
Yaofeng Yang    
Yajuan Chen    
Huyang Yu    
Zhuo Chen and Zhenwei Yang    

Resumen

In recent years, environmental degradation and the COVID-19 pandemic have seriously affected economic development and social stability. Addressing the impact of major public health events on residents? willingness to pay for environmental protection (WTPEP) and analyzing the drivers are necessary for improving human well-being and environmental sustainability. We designed a questionnaire to analyze the change in residents? WTPEP before and during COVID-19 and an established ordinary least squares (OLS), spatial lag model (SLM), spatial error model (SEM), geographically weighted regression (GWR), and multiscale GWR to explore driver factors and scale effects of WTPEP based on the theory of environment Kuznets curve (EKC). The results show that (1) WTPEP is 0?20,000 yuan before COVID-19 and 0?50,000 yuan during COVID-19. Residents? WTPEP improved during COVID-19, which indicates that residents? demand for an ecological environment is increasing; (2) The shapes and inflection points of the relationships between income and WTPEP are spatially heterogeneous before and during COVID-19, but the northern WTPEP is larger than southern, which indicates that there is a spatial imbalance in WTPEP; (3) Environmental degradation, health, environmental quality, and education are WTPEP?s significant macro-drivers, whereas income, age, and gender are significant micro-drivers. Those factors can help policymakers better understand which factors are more suitable for macro or micro environmental policy-making and what targeted measures could be taken to solve the contradiction between the growing ecological environment demand of residents and the spatial imbalance of WTPEP in the future.

 Artículos similares

       
 
José Francisco León-Cruz, David Romero and Hugo Ignacio Rodríguez-García    
The spatial and temporal changes in social vulnerability to natural hazards in Mexico are analyzed. To this end, using census data from 2000, 2010, and 2020, and a statistical method, different indices were computed, and with a GIS-based approach, patter... ver más

 
Mingxuan Li, Yu Yan, Ziyi Ying and Long Zhou    
This study aims to analyze the perceptions and driving factors behind villagers? changing perceptions of landscape values in the context of drastic landscape changes in traditional Chinese villages. Empirical evidence emphasizes the interplay between loc... ver más

 
Yinghui Zhao, Mengyuan Jiang, Jing Cheng and Congfeng Jiang    
This paper analyzes the spatiotemporal changes and patterns of a regional water environment based on the hydrological and water quality monitoring times and the geographical locations of the monitoring sections in the research area, the plain of Cixi, ea... ver más
Revista: Water

 
Xinyu Hu, Gutao Zhang, Yi Shi and Peng Yu    
The digitization of consumption, led by information and communications technology (ICT), has reshaped the urban commercial spatial structure (UCSS) of restaurants and retailers. However, the impacts of ICT on UCSS and location selection remain unclear. I... ver más

 
Rui Wang and Yijing Li    
Given the paramount impacts of COVID-19 on people?s lives in the capital of the UK, London, it was foreseeable that the city?s crime patterns would have undergone significant transformations, especially during lockdown periods. This study aims to testify... ver más