Understanding the relationship between tourism demand and retail property prices is of great significance to tourist destinations, especially shopping destinations. The increase in tourism demand may alter the implicit prices of certain retail property characteristics (e.g., age and accessibility to transit). This study examines how tourism demand (measured by tourist volume) affects retail property prices in the tourist precinct of a shopping destination, namely Hong Kong. The implementation of the policy Individual Visit Scheme (IVS) in 2003 in Hong Kong has substantially increased tourist shoppers from Mainland China, and it is used as a quasi-natural experiment of the increased tourist volume. Spatial and non-spatial hedonic pricing models are developed based on the ground-floor retail property transaction data of Causeway Bay, Hong Kong before and after the IVS (1993–2011). The findings of this study are as follows. (1) Accessibility to transit has a larger positive price effect after the implementation of the IVS. (2) The implicit price of accessibility to accommodation facilities is not significantly altered by the implementation of the IVS. (3) Age has a larger negative price effect after the implementation of the IVS. The first two outcomes are related to the economic concerns of tourist shoppers, while the last can be explained by their hometown experience. Finally, practical implications are discussed.

Urbanization promotes the development of human civilization but brings great challenges, such as air pollution, lack of water resources, and environmental damage, to the natural environment. Water conservation effectively alleviates the lack of water resources. Existing studies mostly focus on water conservation behavior in urban areas and overlook rural areas. This study takes rural residents in Chengdu as the research object and selects four villages to conduct empirical research and fill this research gap. A total of 165 valid questionnaires are collected after face-to-face interviews. First, descriptive analysis is used to analyze the current situation of rural residents’ water conservation behavior. Second, exploratory factor analysis and the binary logistic regression model are used to explore the relationship between building characteristics, water conservation attitudes, and water conservation behavior. The results show that (1) the rural residents’ water conservation attitude plays an important role in water conservation behavior; “environmental values” is the most significant factor, followed by “saving money and joint participation;” (2) rural building characteristics such as layout of the kitchen and shower facilities significantly affect the water conservation behavior of rural residents. Based on the analysis, several suggestions are made for building a new water-saving rural area in Chengdu, such as strengthening the publicity and education of water-saving behavior and subsidizing water-saving facilities. This research provides a theoretical basis for local government departments to formulate relevant policies and serves as a valuable reference for the protection of water resources in other rural areas.

The ability to understand bicycling behavior in China’s rural areas is critical in constructing an improved, sustainable, countryside amid the rapid urbanization in the country. This study analyzes the influence of individual bicycling psychology, objective, and perceived built environment on the acceptable bicycling distance of rural residents. This research is conducted by controlling for the socio-demographic characteristics of the residents on the bases of a face-to-face questionnaire survey and an on-site measurement. Exploratory factor analysis shows three attitudinal common factors on bicycling infrastructure, namely, bicycling ancillary facilities, bicycle lane conditions, and safety, and two bicycling motivation factors, namely, convenience and other motivations. Multiple linear regression was estimated and results of the models were consistent. Individual bicycling psychology and built environment factors significantly influence the acceptable bicycling distance of rural residents. The socio-demographic variables insignificantly influence the acceptable bicycling distance, which is inconsistent with the existing literature. The research results provide a broad empirical base for the complex relationships among individual bicycling psychological factors, objective and perceived built environment, and bicycling behavior. This study presents the first research on bicycling in Chinese rural areas and provides guidance for the development of effective countermeasures in constructing ecovillages.

Consumers are heterogeneous in their inertial responses to previous consumptions. Information on consumers’ structural state-dependence is valuable for evaluating consumers’ habit-forming strength and thus can be used for encouraging more sustainable consumption. Conventional methods of estimating such effects are complex and require repeated purchase data, which is difficult to obtain when consumers are inexperienced in buying sustainable products. In this paper, we utilize consumers’ previous switch behaviour data and investigate whether it can explain heterogeneous state-dependence effects. We demonstrate this in consumer-packaged goods markets using scanner datasets. Consumers’ normalized brand switches in a different product category several years ago are used to measure inter-temporal preference variations that are stable and are independent of products and markets. Accounting for household characteristics, we find that some variation in switch behaviour is highly stable: it explains a significant portion of consumers’ structural state-dependence in the market under investigation. Therefore, consumers’ switch tendencies can be structural to their preference. The finding suggests that incorporating consumers’ switch behaviour from other choice domains can be a simple and effective method of understanding the heterogeneous effects behind habit formation. Our constructed measure has broad implications in shifting consumer behaviour to be more sustainable.

Air pollution is a severe problem that the government and society have paid wide attention to in recent years. Its spatial spillover effect and liquidity raises the necessity of collaborative governance among different administrative subjects. This paper selects 153 policy texts related to coordinated air pollution control released by Chengdu-Chongqing urban agglomeration from 2010 to 2020, and uses UCINET to analyze the centrality, density, and reciprocity of cooperation between cities and government departments. The results show that cities with high administrative levels and developed economies play a leading role in cooperation. Compared with administrative divisions, geographical proximity has a greater impact on the closeness of city cooperation. In terms of coordinated governance between departments, most departments have participated in the cooperation. This research shows the current status of the coordinated control of air pollution in the Chengdu-Chongqing urban agglomeration, which will help optimize such policies in the future.