What influences people to choose ridesharing? An overview of the literature

Ridesharing is a shared mobility service in which passengers and drivers with similar origins and destinations are matched to travel in the same vehicle. This service utilises unused seats in vehicles and multi-passenger rides to reduce the cost of travel. To promote ridesharing, both service providers and policymakers should carefully analyse passenger adoption behaviour to support future decision-making and planning. In this paper, 80 studies on passenger ridesharing behaviour published since 2004 are reviewed. The motivating factors and barriers are analysed and classified in terms of demographic factors, psychological factors, and situational factors, and boundary conditions are included. The work provides a corresponding research framework on ridesharing behaviour. Finally, the current literature gaps are summarised and research recommendations are provided. This study provides a comprehensive and systematic research basis for ridesharing studies, and presents important theoretical and practical contributions to guide sustainable ridesharing behaviour

How do the non-cognitive skills affect retirees’ reemployment? Evidence from China

IntroductionPromoting the reemployment of retirees is important to effectively recognize the capacity of older adults and to help governments cope with an aging global population. Existing research on the factors that impact reemployment has mainly focused on the role of traditional forms of human capital, like education and experience, while ignoring non-cognitive skills.MethodsBased on 3,693 samples, this study examines the impact of non-cognitive skills on the reemployment of Chinese retirees using the Logit model through the lens of human capital theory.ResultsThe results show that non-cognitive skills incentivize retirees to seek reemployment. The incentive effect is greater for retirees who are male, live in a rural household, and are of lower age and education level. Further, the mediation effect model reveals the mediating role of social capital between non-cognitive skills and the reemployment of retirees. Social capital is important to the promotion of retiree reemployment.DiscussionThis study ultimately sheds light on the relationship between non-cognitive skills and the reemployment of retirees. Findings will help improve governments’ understandings of non-cognitive skills so that they may develop better policies on retiree reemployment

How Does the Composition of Asset Portfolios Affect Household Consumption: Evidence from China Based on Micro Data

To pursue sustainable and balanced economic development, it is urgent to transform the economic development models from investment-driven to consumption-led. Factors underlying the consumption pattern of households in China, especially the rising wealth and its impact, deserve special attention from both policy makers and academic researchers. This paper aims to investigate how asset portfolios, consisting of housing asset, financial asset, production asset, durable asset, and vehicle asset affect consumption behavior based on household panel data. It is proved that the composition of asset portfolios significantly affects consumption of households. Asset levels and asset prices have positive influences on household consumption. Furthermore, various household assets have different impacts on household consumption patterns, divided into living type, developing type, and enjoying type of consumption, especially there is a larger wealth effect on developing type of consumption. More importantly, it shows a pattern of urban and rural dual economic structure. The disparity is even higher from a wealth perspective. The availability to wealth is of great importance. Therefore, the findings suggest inclusive financial reforms to create conditions for promoting property income and facilitating financial capacity of households, which is necessary for policy formation of Chinese economic transition

Factors Influencing Young People’s Intention toward Municipal Solid Waste Sorting

With the rapid growth of urban economy and population in China, the output of municipal solid waste (MSW) has dramatically increased becoming a constant threat to residents’ living environment and health. The classification intention of residents plays a pivotal role in solving the problem of MSW disposal. While numerous studies have examined the classification behavior of MSW from the perspective of ordinary residents and households, few studies have attempted to understand young people’s sorting intention. The novelty of this research is to explore the determinants that affect young people’s intention toward municipal solid waste sorting (MSWS) by extending the predictive factors of environmental concern and personal moral obligation into the theory of planned behavior (TPB). A sample of 524 young respondents from Hebei Province in China were used to conduct a structural equation model (SEM) validation. The empirical results revealed that, according to the rankings of significance, personal moral obligation, perceived behavioral control, and subjective norm had positive influences on young people’s intention toward MSWS, while attitude and environmental concern did not. Furthermore, the multi-group comparison showed that, compared with the male and rural group, the intention of female and urban respondents to classify MSW was not affected by subjective norms. Some targeted managerial implications were ultimately proposed to promote young people’s intention toward MSWS. This study contributes to the existing knowledge system of MSWS by revealing the classification intention of young people as a group. The findings and implications provide the government with useful insights for encouraging young people to actively participate in MSWS

Digital Economy Development and the Urban–Rural Income Gap: Intensifying or Reducing

Based on theoretical analysis, this study examines the relationship between the development of China’s digital economy and the urban–rural income gap by using an empirical model to test panel data for 30 provinces in China from 2009 to 2019. The results of the study reveal that (1) there is a “U-shaped” relationship between the digital economy and the urban–rural income gap, with the gap narrowing in the early stages of development and widening in the medium-to-long term. (2) The development of the digital economy in peripheral regions will have an impact on the urban–rural income gap in the region through spatial spillover. (3) The heterogeneity tests reveal that the digital economy has a stronger impact on the urban–rural income gap in western China and a weaker impact in the east. (4) A double difference test using “Broadband Rural” construction as a policy shock variable reveals that the pilot project helped reduce the urban–rural income gap. This study deepens our understanding of the digital economy for integrated urban–rural development. It provides a theoretical basis and practical experience for enhancing the living standard of rural residents and promoting the integrated development of urban and rural areas

Visualization and Analysis of Mapping Knowledge Domain of Urban Vitality Research

Mapping knowledge domain (MKD) is an important research technology in bibliometrics. It provides a visual perspective for researchers and helps researchers to clearly understand the general situations of specific research fields. Presently, MKD has been widely used in fields such as ecology and transportation safety. In this paper, we conduct a systematically bibliometric analysis of the development trend on urban vitality research by using VOSviewer software, and this work is based on the related articles published in the Science Citation Index Expanded (SCIE) and Social Sciences Citation Index (SSCI) between 1998 and 2018. In the implementation, we firstly introduce the annual numbers of articles, source journals, highly cited papers, and production countries relating to urban vitality research. Then, we adopt a keywords co-occurrence analysis to explore the topic distribution, research frontiers, and research trends of urban vitality research intuitively. Overall, the Mapped Knowledge Domain method has proved to be an effective way to assess research trends in specific disciplines and to contribute to researchers and governments with respect to management and decision-making on issues of science

Does Government Intervention Ensure Food Safety? Evidence from China

Food safety is related to public health, social welfare, and human survival, all of which are important and pressing areas of concern all over the world. The government plays an increasingly important role in the supervision of food safety. The role of the government, however, is also controversial. Using provincial panel data of China from 2005 to 2015, the present study intends to shed light on the associations between government intervention and food safety performance under two scenarios of local government—competition and noncompetition. This will be accomplished through an exploratory spatial data analysis and a spatial econometric model. The results reveal negative associations between food safety performance and government intervention without considering local government competition. As was also observed, government intervention not only inhibits the improvement of food safety in the region, but also has a negative spatial spillover effect on food safety in neighboring provinces. This is the result after considering government competition, thus, showing the competitive strategic interaction of the “race to the bottom”. Further analysis reveals that, if geographically similar regions are selected as reference objects, the food safety performance of each province will have a stronger tendency to compete for the better. If regions with similar economic development levels are selected as reference objects, food safety performance will have a stronger tendency to compete for the worse. This work provides new evidence for the relationships between government intervention and food safety, and, also, proposes some insightful implications for policymakers for governing food safety

Urban Vitality Evaluation and Spatial Correlation Research: A Case Study from Shanghai, China

Urban vitality is the primary driver of urban development. However, assessing urban vitality has always been a challenge. This paper builds on the research framework of sustainable development evaluation and selects evaluation indicators from the three systems of urban operation: economy, society, and environment. The deviation maximization (DM) method is used to evaluate urban vitality. Shanghai is then used as a case study for evaluation, and the comprehensive index of urban vitality is calculated for the city from 2010 to 2019. The evaluation results indicate that the urban vitality of Shanghai experienced a significant upward trend over ten years (2010–2019), which shows that the urban competitiveness of Shanghai is constantly strengthening. Next, the study focuses on the administrative region of Shanghai, to calculate the regional vitality level of Shanghai from 2010 to 2019 and to explore its spatial distribution characteristics. Then, a spatial autocorrelation analysis is used to explore the mechanism that affects the spatial distribution of urban vitality. The results demonstrate that the urban vitality in Shanghai shows a significant positive correlation in space. Moreover, there is a “High–High” gathering area, which includes Huangpu, Xuhui, Hongkou, and Changning in central area of Shanghai. This research provides a theoretical reference to support effective decision-making with respect to high-quality urban development

Managerial Areas of Construction and Demolition Waste: A Scientometric Review

In past decades, the massive generation of construction and demolition waste (CDW) was increasingly threatening the public environment and humanity health worldwide. A large amount of research has been devoted to the CDW from difference perspectives. However, few scholars have attempted to summarize and review the extant studies, especially in the managerial areas of CDW (MA-CDW). This paper fills this gap via a systematic and quantitative review in the CDW management field. Employing the scientometric analysis method, a total of 261 articles published from 2006 to 2018 were collected to construct the knowledge map and comprehensive framework for MA-CDW. Results show that the overall evolutionary trend of MA-CDW was from basic management concepts to internal and external challenges analysis, to organizational strategy and innovative management practices. The major MA-CDW knowledge domains were identified and summarized into four pillars, namely: (1) factor and challenge; (2) composition and quantification; (3) assessment and comparison; and (4) technology and method. Based on the trend, knowledge gaps and future research directions were found out and discussed. This study contributes to the existing MA-CDW knowledge by presenting a comprehensive knowledge framework. Furthermore, these findings can provide the researchers and practitioners with an in-depth understanding for the sustainable governance of CDW

Determinants of consumers’ continuance intention to use dynamic ride-sharing services

Dynamic ride-sharing has been widely regarded as a potential way to alleviate traffic congestion and reduce environmental pollution. Prior studies have focused mainly on motivating consumers to adopt ride-sharing, but few have attempted to investigate continuance intention. This study constructs a comprehensive theoretical framework based on expectation confirmation theory to explore the critical factors influencing consumers' continuance intention to use dynamic ridesharing services. The empirical results indicate that the determinants of continuance intention are satisfaction, perceived usefulness, economic benefits, environmental awareness, and platform incentives. Female users' satisfaction has a more important effect on continuance intention than male users', whereas perceived usefulness has a relatively small effect. Unexpectedly, the effect of platform incentives on the continuance intention of female users is non-significant. The social experience of users without private cars has a stronger effect on satisfaction than that of users who have private cars