Intention Of Residents Research Articles

Dual-Stage Analysis Combining Structural Equation Modeling and Machine Learning for Low-Carbon Travel Intention of Urban Residents

Guiding urban residents to travel with low carbon is an important measure to reduce carbon emissions and promote sustainable urban development. To explore the important factors affecting urban residents’ low-carbon travel intention, this study proposes a composite model of urban residents’ low-carbon travel intention based on the composite framework of the theory of planned behavior and value belief norm theory. A total of 398 valid pieces of data were collected in Qingdao, China. Structural equation modeling (SEM) was applied to empirically analyze the data to identify the predictors that have a significant effect on low-carbon travel intention. Then, two machine learning methods, artificial neural networks (ANN) and extreme gradient boosting (XGBoost), were used to conduct sensitivity analysis on the SEM results to identify the determinants that affect residents’ low-carbon travel intention. The results showed that personal norm, attitude, subjective norm, and perceived behavioral control have a significant direct effect on residents’ low-carbon travel intention. Policy factors can indirectly affect low-carbon travel intention, through mediating variables. Environmental awareness and travel time perception have a direct effect on both residents’ attitude and subjective norms. In addition, the explained variance (R2) of low-carbon travel intention by ANN and XGBoost is 0.75 and 0.77, respectively. The Root Square Mean Error (RMSE) in both models are small, which verifies the effectiveness of the two machine learning methods. The results can provide a reference basis for policymakers to prompt urban sustainable development.

Residents' Cognition, Attitudes, and Intentions to Participate in Long-Term Care Insurance: Moderating Effect of Policy Support.

This study took a comprehensive approach to considering residents' demands and investigated the intentions of residents in Hebei Province to participate in LTCI, exploring the potential for individual participation. By integrating the unique Chinese context and existing literature, this study established a theoretical framework for research hypotheses concerning the influencing factors of residents' participation intentions. Leveraging a sample of 516 survey responses, we employed structural equation modeling (SEM) and hierarchical regression analysis (HRA) for validation. The research revealed that the heterogeneity of resident attributes has a significant influence on their participation intentions, and a gap exists between residents' attitudes and intentions, leading to a scenario where attitudes are high but intentions are low. Moreover, perceived usefulness, risk perception, and perceived trust were found to directly affect residents' intentions and could indirectly affect intentions through the mediating effect of attitudes. Additionally, the moderating role of policy support is instrumental in facilitating the translation of attitudes into actual intentions, bridging the gap between attitudes and participation intentions. These findings will assist researchers in gaining a deeper understanding of Chinese residents' participation intentions and their underlying influencing factors, ultimately providing a solid foundation for government policy formulation and insurance companies' strategic adjustments.

Understanding behavioral intentions in urban travel reservation: a combined model of rational motivation and social norms

ABSTRACT The travel reservation strategy (TRS) is more flexible and refined than traditional traffic demand management methods. There is limited research discussing the implementation of travel reservations during peak hours for congested bottleneck roads in urban areas. Furthermore, previous studies have not explored the behavioral intentions of urban residents regarding travel reservations. This study explored the essential psychological characteristics affecting travelers’ acceptance of TRS and the potential causal relationships between these variables. We proposed the Tech-Norm-Behavior Integration model that integrates the Theory of Planned Behavior, Technology Acceptance Model, and Norm Activation Model to examine travelers’ intentions to use travel reservations driven by rational and normative motivations. We used the structural equation model to verify the integrated model's validity. The results demonstrate that personal norms significantly impact behavioral intentions, followed by attitude and perceived behavioral control. It confirms that TRS is a prosocial traffic demand management strategy have significant mediating effects.

A study of the driving factors of the intention and behavioral deviations of rural residents in waste classification

Introduction: The deviation between the stated intentions and actual actions of rural residents regarding waste classification constitutes a significant impediment to the effective implementation of environmental management strategies in rural areas. It is therefore recommended that steps be taken to reduce the deviation between the stated intentions and actual behaviors of rural residents. Doing so will help to reinforce environmental governance in rural communities and provide the necessary support for rural revitalization.Methods: This study establishes an analytical framework for examining the deviation between the internal perceived efficacy and external environmental policies among rural residents. The relationship between intention and behavior can be classified into three distinct scenarios: “intention with behavior,” “intention without behavior,” and “no intention with behavior.” Furthermore, an empirical analysis is conducted using survey data collected by Nanjing Agricultural University in the China Land Economic Survey in June and July 2021.Result: The results show that 1) the perceived efficacy has a significant positive influence on the deviation between the intention and behavior of rural residents in domestic waste classification, while the environmental policy has a significant negative effect on it; 2) the guiding policy has a significant negative moderating effect on the influence of perceived efficacy on the deviation between the intention and behavior of rural residents and the situation of “with intention and without behavior,” while the reward–punishment policy has a significant positive moderating effect on the influence of perceived efficacy on “without intention and behavior;” 3) the perceived efficacy has a masking effect on the impact of environmental policies on the deviation between the intention and behavior or “with intention and without behavior” of rural residents and a partial mediating effect on the impact of the environmental policy on “with intention and behavior” or “without intention and behavior.”Discussion: In consideration of these findings, the study proposes policy recommendations that emphasize the interconnectivity of the government, village collective organizations, and rural residents. The recommendations include the implementation of environmental policies and initiatives designed to enhance rural residents’ awareness of waste classification.

How Does Air Pollution Impact Residence Intention of Rural Migrants? Empirical Evidence from the CMDS

Based on data from the China Migrant Dynamic Survey project and urban statistics, this article examines the impact of air pollution on the residence intentions of rural migrants. The research findings indicate that: (1) Air pollution reduces the residence intentions of rural migrants. On average, for every one-unit increase in AQI, the residence intention of rural migrants will reduce by 1.5l%. (2) Mechanism analysis shows that social networks and social integration have a negative moderating effect on the relationship between air pollution and the residence intention of rural migrants. (3) Heterogeneity analysis shows that in cities north of the Qinling Mountains-Huaihe River, cities with low precipitation, and cities with weak environmental regulations, the negative impact of air pollution on residence intention of rural migrants is more significant. Compared with high human capital levels, inter-provincial flow, and the new generation of rural migrants, the residence intention of low human capital levels, intra-provincial flow, and the old generation of rural migrants makes them more vulnerable to the negative impact of air pollution. This article reveals the inherent relationship between air pollution and the residence intention of rural migrants, which has certain practical enlightenment for cities to accelerate the process of citizenization of rural migrants through air pollution control and also provides important empirical evidence for cities to sustainably address air pollution.

Do Long Commutes Discourage Fertility Intentions Among Young Public Housing Renters in Guangzhou, China?

There are longstanding international housing policy concerns about the well-being and satisfaction of public housing residents and other low-income households. However, little is known about whether the location of public housing requires such lengthy commutes that it retards their fertility intentions. As a result, this study aims to examine the relationship between long commutes and the fertility intentions of young public housing residents and the underlying mechanism linking them. Based on data from the 2022 Public Housing Survey in Guangzhou, China, the results show that long commutes can weaken the intention to have children among young public housing residents. However, this effect is only found to be significant for the self-employed, part-time workers, and those working in the private sector, not for those working in the public sector. Moreover, the effects turn out to be more pronounced for those who commute by private car and active transportation than those who take public transportation. Finally, this study reveals that residential satisfaction mediates the nexus between long commutes and fertility intentions. This study makes an important step in advancing the scholarly understanding of the differential fertility intentions as a result of the spatial mismatch.

Study on the Fertility Intention of Wenzhou Residents and Its Influencing Factors under the Background of the Three-Child Policy

The continuing decline in fertility and population ageing are major social issues facing the world today. On the one hand, population aging leads to a decrease in the total workforce and a decline in productivity, and with the increase in the proportion of elderly people, the pressure on social security, such as pension insurance and medical resources, will gradually increase. On the other hand, the decline in fertility rate means that the supply of new labor force will be insufficient. Therefore, a large number of countries have implemented various fertility policies to encourage the public to increase the fertility rate, so as to solve the negative impacts of low fertility rate and population aging on social development. This paper stands on the background of the three-child policy and investigates the fertility intention of Wenzhou residents and its influencing factors. Taking Ouhai District of Wenzhou as an example, this paper investigates the fertility situation of Ouhai residents, fertility intention, and the influencing factors of fertility intention from 1980 to 2023, and puts forward the suggestions to promote the fertility intention of residents in Ouhai District. It is expected that this paper can provide reference value for relevant government departments to effectively promote the three-child policy, so that more families are willing to continue to give birth, and effectively solve the problems of population aging and low fertility rate that China is currently facing.

The Impact of Urban Public Services on the Residence Intentions of Migrant Entrepreneurs in the Western Region of China

Balanced regional development affects high-quality and sustainable development. Previous studies have shown that regional talent allocation, technology business incubators, industrial ecology, cross-regional cooperation, and balanced investment in higher education have positive effects on sustained regional development. Therefore, discussing more influencing factors that promote regionally balanced development is necessary. As far as China is concerned, with the spread of the migrant population to the central and western regions, it is of certain significance to explore the factors affecting the development of the western region from the perspective of migrant entrepreneurs’ flow. Urban public services, as an important way for the government to attract talent, directly affect the residence intentions of migrant entrepreneurs in the future. This paper uses the matching data of the 2017 China Migrants Dynamic Survey and 289 prefecture-level city data from the China City Statistical Yearbook to study the impact of urban public services in the western region on the residence intention of migrant entrepreneurs and further examines the heterogeneous impact of urban public services in the western region on the residence intention of migrant entrepreneurs. We find that urban public services in the western region significantly affect the residence intention of migrant entrepreneurs; that is, the higher the level of urban public services, the stronger the residence intention of migrant entrepreneurs. According to the heterogeneity analysis of household registration differences, generational differences, family structure differences, employment identity differences, and industry and flow range differences, this paper finds that public services have a positive impact on the residence intention of non-urban migrant entrepreneurs, the older generation of migrant entrepreneurs, entrepreneurs with small family structures, migrant entrepreneurs in low-tech industries, self-employed entrepreneurs, cross-province migration, and intra-province migrant entrepreneurs. Further analysis indicates that the level of education, culture, medical care, and transportation services in cities significantly enhances the permanent residence intentions of migrant entrepreneurs. The research conclusion not only provides reference and inspiration for China to achieve common prosperity through entrepreneurship and poverty reduction practices, but it can also, to some extent, alleviate population aggregation in large cities and promote the formation of a scientific and reasonable urbanization pattern. In addition, this paper explores the attractiveness of public services to migrant entrepreneurs in the western region of China from the perspective of entrepreneurs’ mobility and complements the relevant research on promoting regional balanced development.

Is NIMBY inevitable? An empirical exploration of determinants of public attitudes towards unwanted facilities using nationally representative data in China

ABSTRACT ‘Not in my Back Yard’ (NIMBY) protests against the construction of unwanted facilities nearby occur when individuals prioritize personal benefits over broader social benefits, which is an interesting phenomenon in China’s government-regulated market economic system. Although this fascinating phenomenon attracts plenty of research attention, it remains unknown regarding the extent of NIMBY intention and its influencing factors in China. This study describes the NIMBY intention of Chinese residents towards a large-scale chemical plant with low pollution and analyzes its determinants utilizing data from a nationally representative survey in 2017. It shows that 85% of the 38,775 respondents have strong NIMBY intentions. Among all factors, education and urbanization are the two most influential ones and are positively related to NIMBY intention. Besides, women, high-income groups, and people living in areas with strong social networks, high GDP per capita, or high pollution, exhibit strong NIMBY intention. Conversely, trust in the government and willingness to participate in public affairs are negatively correlated with NIMBY intention. Our study indicates that NIMBY intention will inevitably rise with educational attainment and urbanization levels, but the NIMBY dilemma can be alleviated by implementing participatory governance and building trust in local government.

Driving factors and micro-mechanism of residents’ participation intention in individual pension system

The introduction of an individual pension system is crucial to improve the current pension system in China. To increase the rate of participation of individuals in this new pension system and to give full play to its pension security effect, in this study, we built a conceptual model of participation intention of residents based on the theory of planned behavior considering seven new factors. Data were obtained through a questionnaire survey, and empirical tests and analyses were conducted using methods such as structural equation modeling. According to the results, 77.8 % of residents were willing to participate in the individual pension system. The internal driving factors such as perceived usefulness, trust, family burden and policy support directly influenced the residents’ participation rate. Participation attitude was a key variable, with a partial mediating effect on participation intention. Thus, it is recommended to increase publicity and policy support, improve laws, regulations and the regulatory system, regulate market operations and enhance service quality for boosting residents' recognition and enthusiasm to participate and reducing their burden in old age.

Integrating Theory of Planned Behavior and Value-Belief-Norm Theory to Explain Residents’ Intention on Garbage Classification

Guiding residents’ garbage classification behavior is one of the important ways to alleviate urban environmental pollution. Based on the theory of planned behavior (TPB) and the theory of value-belief-norm (VBN), 440 questionnaires were analyzed by using partial least squares structural equation modeling (PLS-SEM) to study the factors affecting residents’ intention (I) of garbage classification. The results show that the integrated TPB and VBN model developed in this study has a stronger ability to predict and explain the Intention (I) of residents’ garbage classification. The residents’ Perceived Behavioral Norms (PBN), Subjective Norms (SN), and Personal Norms (PN) directly affect the behavioral intention (I) of residents’ garbage classification, and Perceived Behavioral Control (PBC) is the biggest factor affecting the Intention (I) of residents’ garbage classification. Besides, Residents’ Subjective Norm (SN), Awareness of Consequences (AC), and Ascribed Responsibility (AR) explain residents’ Personal Norms (PN), among which Subjective Norm (SN) have the most significant impact on Personal Norms (PN). Personal norm is a mediator between social norms and Intention (I) on garbage classification. The study further enriches the research on residents’ garbage classification intention (I) and inspires for enhancing residents’ garbage classification intention (I).

The effect of haze pollution on rural-to-urban migrants' long-term residence intentions.

Severe haze pollution in China threatens human health, and its negative effect hampers rural-to-urban migrants' settlement intentions in destination cities. Using the 2017 China Migrants Dynamic Survey Data (CMDS), the satellite data of PM2.5, and city-level data, this study investigates the impact of haze pollution on rural migrants, long-term residence intentions in Chinese context with IV-probit model, and mediating effect model. Overall, we find an inverted U-shaped relationship between the level of haze pollutants and rural migrants' long-term settlement intentions. Robustness check using multi-measures and thermal inversion as the instrumental variable supports this conclusion. The mediating effect model shows haze pollution plays its role through two opposite mechanisms: signal effect and health effect. When the size of signal effect is larger than health effect, rural migrants are inclined to settle down in their host cities; otherwise, they show lower settlement willingness. The turning point appears when PM2.5 concentration reaches 38.5 μg/m3; migrants have the highest long-term residence intentions. Currently, the national average PM2.5 concentration is 40.98 μg/m3, indicating that China is at the stage where the health effect of haze pollution holds a dominant position. Haze pollution has heterogeneous impacts on migrants' residence intentions. From the individual level, the younger generation, female, and higher-educated migrants have a higher tolerance for polluted air. From the city level, migrants who work in the city with 5 to 10 million dwellers have the highest long-term residence intention and are less sensitive to haze pollution. Thus, we propose stringent environmental regulations and more inclined public service policies to migrants.

Would you choose to be a psychiatrist again? A large-sample nationwide survey of psychiatrists and psychiatry residents in China

BackgroundThe mental health workforce sustainability in China suffers high rates of attrition and the intention to leave. Among current professionals, the intention to choose the same career is an interesting way to gauge their job satisfaction and other factors, and it may affect the career choices of younger generations. We aimed to survey the intention of psychiatrists and psychiatry residents to choose the same career if they could start over and to identify associated factors.MethodsWe conducted an anonymous survey of psychiatrists in 41 tertiary psychiatric hospitals in China. We collected demographic data, work-related information, the sense of professional identity, job satisfaction, and burnout (Maslach Burnout Inventory), and we specifically asked each participant whether they would choose to be a psychiatrist again if they could.ResultsAmong 3,783 psychiatrists we surveyed, one-quarter responded that they would not choose to be a psychiatrist again if they had a choice, with less than half (47.2%) saying they would. Those who would not choose psychiatry again were more likely to have a negative (relative to positive) professional identity (OR = 7.47, P＜0.001, 95%CI: 4.587–12.164); experience job burnout (OR = 2.945, P＜0.001, 95%CI: 2.356–3.681); be dissatisfied with their job (OR = 2.739, P＜0.001, 95%CI: 2.102–3.569) and excessive regulation (OR = 1.819, P＜0.001, 95%CI: 1.487–2.226); have a heavy workload (OR = 1.749, P＜0.001, 95%CI: 1.423–2.149) or a lower income (OR = 1.748, P＜0.001, 95%CI: 1.415–2.161); be married (relative to single) (OR = 1.604, P = 0.004, 95%CI: 1.165–2.208); be dissatisfied with strained doctor-patient relationship (OR = 1.333, P = 0.005, 95%CI: 1.089–1.632); have more night shifts per month (OR = 1.055, P = 0.021, 95%CI: 1.008–1.104) or work longer hours per week (OR = 1.016, P = 0.001, 95%CI: 1.006–1.025).ConclusionAmong psychiatrists in tertiary hospitals in China, those with a heavier workload, poor sense of professional identity, job dissatisfaction, and burnout were less likely to choose psychiatry again. Policymakers and hospital administrators need to take effective measures to improve psychiatrists’ sense of professional identity and increase their intention to stay.

Family structure of migrant workers and long‐term local settlement intention in China

AbstractSince the Reform and Opening up, China's rapid but regionally uneven economic growth has continuously attracted a large number of migrant workers from rural areas to cities, from the central and western regions to the eastern regions. At the same time, the migration structure of migrant workers has gradually changed from individual migration to family migration. Under the linked lives principle in life course framework, this paper makes an in‐depth analysis of the relationship between family structure and the long‐term settlement intention of migrant workers based on a nationwide survey in 2020 by using the binomial logistic models. This paper found that, migrant workers who migrate in couple or with their whole family (spouse and children) have higher intention to live in local areas for longer time than migrant workers who migrate individually. More importantly, this paper argues that that spouses and children have more positive influence on migrant workers' local residence intention in medium and long‐distance cross city or inter‐provincial migration than in short distance within city migration.

Consumption and production of edible insects in an urban circularity context: Opinions and intentions of urban residents

The success of emerging urban agriculture initiatives is partly determined by the acceptance and active involvement of residents. Edible insects can contribute to urban agriculture and to the transition to a circular economy by converting organic side flows into high-value biomass. This explorative online survey (N = 750) assessed the opinions and intentions of residents of Amsterdam city, the Netherlands (18–75 years old) about consumption and production of edible insects for food on household, neighborhood (i.e., centralized facilities for neighbored households), and industrial scales utilizing various side flows. Of the proposed scenarios, industrial insect production was perceived as more attractive (24.9 % of all respondents), than neighborhood (16.3 %) and household (6.7 %) production. Respondents indicated a higher preference for drivers (environmental, economic, expert support, and safety) related to purchasing industrially produced insects (median-5 of 7-point scale) than to participating in neighborhood or household production. Accordingly, most barriers were associated with household production (e.g., inconvenience, economic reasons, lack of knowledge and available information, median-5-6) rather than neighborhood (safety concerns, median-5) and industrial (no defined barriers, median 4) production. Nature (vegetal, animal, or mixed) and source of insect feed were considered important to the respondents, and >80 % of the respondents prefer feed mentioning on the labels of insect-containing food products. The findings suggest that urban initiatives on insect production should consider the current state of acceptance of this idea and the willingness to participate in it, as well as ensure its simplicity, safety, and low monetary cost. Relevant information and expert support should be made available to residents. Moreover, as edible insects are still a novel food concept in Amsterdam, further introduction of insects into the diet might make all proposed scenarios more attractive and meaningful for residents, contributing to the development of circular urban ecosystems in the future.

Investigating the Impact of Demographic and Personal Variables on Post-Retirement Migration Intention of Rural Residents: Evidence from Inner Mongolia, China

With the intensification of population aging in rural areas, it becomes increasingly important to analyze the post-retirement migration intention of rural residents and the variables influencing these intentions. However, there is a lack of research on this point. In this study, we focused on rural residents aged 45 to 60 and used the logistic regression model to investigate the demographic and personal variables influencing their post-retirement migration intention. The data used in this study were collected from one hundred sixty-four households in three rural areas of Inner Mongolia in 2011. From the results of this study, we found that gender, part-time employment, savings level, children’s residence and occupational stability, and interest in urban living positively affect migration intention. In contrast, the number of rural close friends, relationships with others in rural areas, and evaluation of rural living all have negative effects. In addition, we employed age and the proportion of mobile income as control variables to examine the variables that influence the post-retirement migration intention in different age groups and mobile income groups. The analysis reveals that the variables influencing post-retirement migration intention varied across age groups and mobile income groups, and this variation can be attributed to the differences between groups’ characteristics.

Pandemic travel fear, travel intention, and self-protection intention of Chinese residents: an application of protection motivation theory

ABSTRACT This study examines the attitudes of Chinese residents toward pandemic travel fear, travel intention, and self-protection intention based on Protection Motivation Theory (PMT) as the study framework. Compared to previous research in this area, we employed the full suite of PMT factors in this study. An online survey was used to collect the views of 560 Chinese residents in six major Chinese cities in 2022. The results demonstrated that the PMT model provides a useful framework for understanding pandemic travel fear. Although perceived severity, perceived vulnerability and perceived response cost have significant positive relations with pandemic travel fear, perceived reward has a significant negative influence on pandemic travel fear. However, perceived response efficacy and perceived self-efficacy do not have a significant relationship with pandemic travel fear. Indeed, pandemic travel fear has significant negative and positive impacts on travel intention and self-protection intention, respectively. Practical implications of the study are discussed.

Impact of physical and social living environments on pro-environmental intentions

The living environment might play an important role in shaping the pro-environmental intentions of the people. However, there was limited research on how the living environments influenced the pro-environmental intentions of people. The objectives of this study are to evaluate the direct effects of physical and social environments on pro-environmental intentions as well as the mediating effects of environmental attitudes and life satisfaction. Structural Equation Modeling was used with data extracted from the 2020 Taiwan Social Change Survey database (n = 1671). Results showed direct positive associations of both physical and social environments with pro-environmental intentions (β = 0.133 and β = 0.076, respectively) as well as indirect positive associations via the life satisfaction-mediating pathway (β = 0.031 and β = 0.044, respectively). The physical environment negatively influenced pro-environmental intentions through the environmental attitude pathway (β = − 0.255) with unpleasant neighborhood enhancing the pro-environmental intentions of residents. Taken together, the overall effect of the physical environment was negative (β = − 0.093) while that of the social environment was positive (β = 0.109). The most important factors for the physical and social environments were disturbance and livability in north, central and south Taiwan, neighborhood pollution and interestingness in east Taiwan. Accordingly, minimizing disturbance and neighborhood pollution of the physical environment could have the highest effect on pro-environmental intentions enhancement in western and eastern Taiwan, respectively. For the social environment, improving livability in the west and interestingness in the east would have an even larger impact on pro-environmental intentions. This study emphasized the importance of neighborhood environment on the environmental intentions of the people. The study also identified the important factors for policymakers to target to achieve the best effect on improving environmental intentions.

Attraction or repulsion? The creation of civilized cities and the resident intention of migrants

Using the National Civilized City Award campaign as a quasi-natural experiment, we evaluate the effect of establishing civilized cities in China on migrants' residence intention and explore its mechanism. Based on the data from the China Migrants Dynamic Survey for 2012–17 and propensity score matching and difference-in-difference approach, creating civilized cities reduced migrants' residence intention. The mechanism shows that creating civilized cities brought higher amenities while decreasing income and increasing housing costs. This effect showed individual and city heterogeneity: low-skilled and rural hukou migrants' residence intention was significantly reduced, while high-skilled and urban hukou migrants experienced no significant impact; large and midwestern cities experienced reduced attractiveness for migrants compared with small, medium-sized, and eastern cities. We show how cities affect individuals' residence intention and provide empirical evidence for the reasonable and effective formulation of urban management policies.

Intention to Attend Local Events in the Time Of (COVID)-19: The Case of Australia

This study examines the intention of local residents to attend events in their neighborhood when mass gatherings are being perceived as a risky activity, particularly due to a public health risk, and investigates the differences in behavioral intention by personal factors. The survey findings show a strong willingness of community members to attend events and that it varies across household types and the number of previous visits to events. Age and gender, which were shown in previous studies to affect risk perception, have not been found relevant in the context of willingness to attend local events. The identified factors from a focus group, such as trust in government regulations, familiarity with the place, as well as previous positive experiences at events, can be seen as important to reinforce the willingness of residents to attend local events in times of crisis.