scholarly journals Influencing Factors of Commercial Energy Consumption Intention of Rural Residents: Evidence from Rural Chengdu

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1010
Author(s):  
Aichun Jiang ◽  
Qian Zhong ◽  
Yan Wang ◽  
Yibin Ao ◽  
Chuan Chen
Keyword(s):  
Energy Consumption ◽  
Influencing Factors ◽  
Rural Areas ◽  
Structural Equation ◽  
Equation Modeling ◽  
Main Body ◽  
Rural Residents ◽  
Rural Construction ◽  
Commercial Energy ◽  
New Rural Construction

With rapid rural urbanization and new rural construction, the commercial energy consumption of rural residents shows a trend of rapid growth, and China’s rural areas are also faced with environmental challenges brought by the increase of commercial energy consumption. China’s commercial energy consumption behavior of rural residents has also undergone tremendous changes. However, scholars have neglected the research on rural residents’ commercial energy consumption intention from a micro perspective. Therefore, this study takes the 5 villages in Chengdu out of the 100 representative villages in the Sichuan province as examples. From the perspective of the head of a family of permanent rural residents, extended planned behavior theory, exploratory factor analysis, and structural equation modeling are used to explore the influencing factors of rural resident commercial energy consumption intention and their relationship. Findings show that subjective norm, perceived behavioral control (PBC), and habit significantly affect residents’ behavioral intention. Habits significantly influence subjective norms and PBC. Therefore, in the new rural construction, rural residents are the main body and participants of energy consumption. Local government departments should plan reasonably according to the needs and characteristics of residents, constantly improve commercial energy infrastructure, improve service level, and further strengthen farmers’ attitude and satisfaction toward commercial energy. Moreover, they should increase the publicity and education of commercial energy, advocate green housing, and promote energy saving consumption reduction, and sustainable development in new rural areas.

scholarly journals Different Perceptions of Belief: Predicting Household Solid Waste Separation Behavior of Urban and Rural Residents in China

2020 ◽  
Vol 12 (18) ◽  
pp. 7778
Author(s):  
Tianyang Lou ◽  
Deyong Wang ◽  
Huili Chen ◽  
Dongjie Niu
Keyword(s):  
Solid Waste ◽  
Rural Areas ◽  
Structural Equation ◽  
Equation Modeling ◽  
Rural Residents ◽  
Household Solid Waste ◽  
Urban And Rural Residents ◽  
Waste Separation ◽  
Separation Behavior ◽  
Rural Group

An unprecedented Household Solid Waste (HSW) separation program was launched in 46 cities and some pilot rural areas in China in 2019. This study examines the antecedents of waste separation behavior using the extended theory of planned behavior (TPB) to identify beliefs that are useful targets for interventions, and compares the urban-rural differences. Based on interviews with rural and urban residents, we identified residents’ beliefs influencing waste separation behaviors, including four behavioral, seven normative, and eight control beliefs. Then, we tested the conceptual model with a two-stage questionnaire survey using a sample of 604 residents from urban and rural areas. Evidence from structural equation modeling supports the extended TPB in that it predicts waste separation intention and behavior on the whole. Moral norm and self-identity were found to independently predict intention and may prove a useful addition to the TPB; however, the path from attitude to intention is not supported in both urban and rural models. Moreover, the specific difference of belief between urban and rural residents was examined. The behavioral beliefs associated to money, including earning, free waste bin or bag, and fine, are significant only in the rural group. The normative beliefs of family, Chinese Communist Party (CCP) members, and government can affect residents’ subjective norm in both urban and rural, while the beliefs of relatives, friends, and neighbors are significant only in the rural group. Implications for managers of operating waste separation programs were discussed. Further investigation into the potential of the model to intervene in waste separation behavior is required.

PSYCHOLOGY, AWARENESS OF THE ETHNIC GROUPS IN NEW RURAL CONSTRUCTION IN ETHNIC MINORITY AND MOUNTAINOUS AREAS TODAY

2018 ◽  
Author(s):  
Nguyen Duy Dung
Keyword(s):  
Ethnic Minority ◽  
Ethnic Groups ◽  
Ethnic Minorities ◽  
Rural Areas ◽  
Cultural Development ◽  
Mountainous Areas ◽  
Political Will ◽  
Target Program ◽  
Rural Construction ◽  
New Rural Construction

New rural construction is one of the key tasks identified by the Party and State as the national target program until 2020. Many documents of the Party and the State have been issued expressing political will to implement the tasks of building new rural areas, over 6 years of implementation, the National Target Program for new rural construction has achieved certain achievements, the appearance of rural areas of ethnic minorities and mountainous areas has gradually changed dramatically, contributing significantly to promoting socio-economic and cultural development. Many provinces and cities throughout the whole country have built some new rural models that meet nineteen criterias and arrive on time.

scholarly journals Analysis of Influencing Factors of College Students’ Intention to Repeated Blood Donation Based on Structural Equation Modeling

2021 ◽  
Author(s):  
Lingling Pan ◽  
Wei Hu ◽  
Wenjuan Han ◽  
Yingying Wang
Keyword(s):  
College Students ◽  
Structural Equation Modeling ◽  
Influencing Factors ◽  
Structural Equation ◽  
Blood Donation ◽  
Behavioral Control ◽  
Equation Modeling ◽  
Perceived Behavioral Control ◽  
Behavior Intention ◽  
Donation Behavior

AbstractTo research the influencing factors of college students' blood donation behavior intention and propose intervention strategies to improve the repeated blood donation rate of college students. Questionnaire survey was used to research and analyze the influencing factors of behavior intention. Amos 21.0 software was used to establish structural equation modeling and perform confirmatory factor analysis. SPSS 20.0 was used for statistic. The model was proved with highly adaptability, with χ2/df = 2.956 < 3. Factors influencing college students' intention of repeat blood donation behavior can be summarized into four: attitude, external motivation, advice-taking, and perceived behavioral control. Among them, attitude and perceived behavioral control have a great direct impact on behavioral intention, while the external motivation and recommendation acceptance have an indirect impact by influencing the other two factors. In view of those evaluation items with high path coefficient in each factor, we can develop recruitment strategies to influence college students’ repeated blood donation behavior and provide scientific suggestions for improving their repeated blood donation rate.

Reflections on Ecological and Environmental Construction of New Rural Program in Underdeveloped Areas

2011 ◽  
Vol 368-373 ◽  
pp. 3602-3606
Author(s):  
Ze Xin Li ◽  
Min Chen
Keyword(s):  
Rural Areas ◽  
Rural Economy ◽  
Living Environment ◽  
Ecological Environment ◽  
Small Scale ◽  
Environment Protection ◽  
Underdeveloped Areas ◽  
Rural Program ◽  
Rural Construction ◽  
New Rural Construction

Underdeveloped rural areas have good but very vulnerable ecological environment, so the environment protection should be given priority in new rural construction. Based on the problems that rural areas have faced in ecological environment, some thoughts are given in this paper on ecological and environmental: ①To solve the conflicts between the development of rural economy and ecological environment protection, the development of eco-industry can be a key solution. ② For the point that people of underdeveloped areas live in scattered and small scale groups, which leads to difficulty in facility arrangements, some proposals are put forward on the construction of living environment in underdeveloped new rural areas.

scholarly journals Social support and subjective well-being among elderly Chinese empty-nester: Self-worth as a Mediator and self-reported health as a Moderator

2020 ◽  
Author(s):  
Hong Su ◽  
Yuqiu Zhou ◽  
Jianqin Cao ◽  
Haina Wang
Keyword(s):  
Social Support ◽  
Rural Areas ◽  
Structural Equation ◽  
Well Being ◽  
Mediation Effect ◽  
Equation Modeling ◽  
Subjective Well Being ◽  
Empty Nest ◽  
Self Worth ◽  
Reported Health

Abstract Purpose This study aimed to explore the relationship between social support, self-worth, self-reported health, and subjective well-being among the Chinese rural empty nest elderly, and whether self-worth and self-reported health affect these associations.Methods This cross-sectional study was performed from May 2017 to April 2018, the participants were 365 empty-nest elderly adults from rural areas of Chifeng City in Inner Mongolia. Data were collected with the General information questionnaire, Self-worth questionnaire for adults, Social Support Scale and Memorial University of New Found land Scale of Happiness. Structural equation modeling was used to test the mediation hypothesis. Bootstrapping was performed to confirm the mediation effect. Hayes’s SPSS-PROCESS was used for testing the moderating effects.Results Self-worth showed significant correlations with social support, self-reported health and subjective well-being (all P<0.01).Bootstrapping indicated that the mediating role of self-worth was statistically significant. And self-reported health moderated the social support and subjective well-being association.Conclusions Self-worth and self-reported health are important targets for prevention and intervention for improving the subjective well-being of the rural empty-nest elderly.

Analyzing the post-harvest supply chain enablers of vertical integration for rural employability and marketability

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rahul Priyadarshi ◽  
Srikanta Routroy ◽  
Girish Kant
Keyword(s):  
Factor Analysis ◽  
Supply Chain ◽  
Vertical Integration ◽  
Rural Areas ◽  
Structural Equation ◽  
Equation Modeling ◽  
Value Addition ◽  
Content Type ◽  
Post Harvest ◽  
The Impact

Purpose The purpose of this study is to analyze the post-harvest supply chain enablers (PHSCEs) for vertical integration to enhance rural employability, farmer profitability and rural produce marketability (i.e. market prospects) in the post-harvest supply chain (PHSC). The impact of vertical integration is also explored for various commercial produces. Design/methodology/approach A structural equation modeling (SEM) of PHSCEs for vertical integration was developed to enhance market prospects, rural employability and farmer profitability. The impact of business-to-business (B2B) and business-to-customer market prospects are explored in various dimensions for stakeholders such as farmers, manufacturers (processors), distributors and retailers. The fuzzy technique for order of preference by similarity to ideal solution (F-TOPSIS) was used to prioritize these PHSCEs to improve market prospects and rural employability. Findings The PHSCEs are clustered into three groups, namely, initiatives at the strategic frontier, initiatives at the tactical frontier and concerns for rural employability via vertical integration using exploratory factor analysis, confirmatory factor analysis and SEM to prove the null hypothesis. With F-TOPSIS results, the availability of warehousing was found to be the most crucial enabler when observing the PHSCEs from the initiatives’ perspective. The technology adaptability and availability, institute for training and research and information infrastructure and information visibility were found to be the key PHSCEs when observed from PHSC stakeholders’ perspectives. Research limitations/implications The implementation of this study will improve the rural produce marketability, rural employability, B2B marketing (i.e. effective distribution) and subsequent value chains with the practice of vertical integration for fresh produce at the rural level. Practical implications The outcomes of this study have a key role in developing the rural regions and improving rural livelihoods via value addition. The awareness of commercial cultivation and value addition in rural areas needs to be improved. This will help farmers to earn better revenues with improved market prospects in comparison to the revenues obtained from the cultivation of staple/conventional crops. Originality/value In an era of cold chains and food processing, this study aims to disseminate awareness about value addition for commercial and fresh produces at the rural level. The implication of this study will improve rural produce marketability, rural employability and farmer profitability at the rural level with the level of vertical integration.

scholarly journals The Influence of Social Support and Care Burden on Depression among Caregivers of Patients with Severe Mental Illness in Rural Areas of Sichuan, China

2019 ◽  
Vol 16 (11) ◽  
pp. 1961 ◽  
Author(s):  
Xiaxia Sun ◽  
Jingjing Ge ◽  
Hongdao Meng ◽  
Zhiguo Chen ◽  
Danping Liu
Keyword(s):  
Social Support ◽  
Mental Illness ◽  
Severe Mental Illness ◽  
Family Caregivers ◽  
Rural Areas ◽  
Structural Equation ◽  
Sichuan Province ◽  
Equation Modeling ◽  
Psychological Consequences ◽  
Care Burden

Depression is one of the most common psychological consequences of caregiving. Caring for patients with severe mental illness (SMI) adds significant challenges to family caregivers’ mental health. The purpose of this study was to describe the prevalence of depression among caregivers of SMI patients in rural areas of Sichuan province of China, to examine the influence of social support and care burden on depression, and to explore the intermediary effect of care burden between social support and depression among caregivers of SMI patients. Data were collected from 256 primary caregivers of SMI patients in rural Sichuan Province in China. We used structural equation modeling (SEM) to test the hypothesized relationship among the variables. We found that a total of 53.5% of caregivers had depression. Both care burden (β = 0.599, 95%CI: 0.392–0.776) and social support (β = −0.307, 95%CI: (−0.494)–(−0.115)) were directly related to depression, while social support had a direct association with care burden (β = −0.506, 95%CI: (−0.672)–(−0.341)). Care burden mediated the relationship between social support and depression. For the socio-demographic variables, gender, education level and per capita annual income of household had significant correlations with depression (p < 0.05). The results strongly demonstrated that social support and care burden were predictors of depression, especially social support. Policymakers should fully recognize the role of primary family caregivers in caring for SMI patients and promote interventions to decrease care burden and reduce caregivers’ depression by improving social support and network. More attention should be given to female caregivers and caregivers with lower education and lower household income levels.

scholarly journals Factors Influencing BIM Adoption for Construction Enterprises in China

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Ruixue Zhang ◽  
Yuyan Tang ◽  
Liang Wang ◽  
Zeyu Wang
Keyword(s):  
Construction Industry ◽  
Influencing Factors ◽  
Structural Equation ◽  
Equation Modeling ◽  
Key Factors ◽  
Process Data ◽  
Construction Enterprises ◽  
Factors Influencing ◽  
Hypothesis Model ◽  
Wide Range

The construction industry is one of the important pillars of the Chinese national economy. BIM, as a new information technology tool, provides an intelligent digital representation of buildings to support diverse activities and brings about a wide range of benefits throughout the life cycle of projects. However, BIM has not been widely adopted in construction enterprises in China. It is necessary to make a comprehensive and systematic analysis of the influencing factors for BIM adoption. This paper sums up 13 influencing factors from four aspects, namely, technology, economy, institution, and environment aspect. The questionnaire survey and statistical analysis were used to collect and process data which is applied to determine the influencing factors. Based on relevant literature, a hypothesis model was established by the structural equation modeling method. SPSS software and AMOS software were used to test the model. Then, the key factors influencing BIM adoption are induced. The results show that the key factors that influence BIM adoption in China include personnel quality, investment in personnel training, BIM standardization, and the influence of senior managers in the organization. Combined with the above conclusion, this paper puts forward some suggestions for promoting BIM adoption and specific measures to realize the wide application of BIM technology in the Chinese construction industry.

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