scholarly journals Does Beneficiaries’ Satisfaction Enhance Their Trust in State Grid for Solar PV Adoption? – An Evidence From PAPs in Rural China

2021 ◽  
Author(s):  
Liping Ding ◽  
Yin Shi ◽  
Qiyao Dai ◽  
Zumeng Zhang ◽  
Jiaxin Li ◽  
...  
Keyword(s):  
Customer Satisfaction ◽  
Rural Areas ◽  
Structural Equation ◽  
Poverty Reduction ◽  
Negative Impact ◽  
Rural China ◽  
Rural Poverty ◽  
Equation Model ◽  
Solar Pv ◽  
Factors Affecting

Abstract Background: Photovoltaic Poverty Alleviation Projects (PPAPs) have been implemented in Chinese rural areas since 2014. As a new energy policy, PPAPs have played an important role in alleviating rural poverty. However, the adoption of solar PV faces multiple barriers from the perspective of beneficiaries. Therefore, this study basically aims to discuss and analyze factors affecting beneficiaries’ satisfaction and their trust in State Grid, promoting the adoption of solar PV. Methods: Based on the integrated American Customer Satisfaction Index (ACSI) and Unified Theory of Acception and Use of Technology (UTAUT) model, this study uses the Structural Equation Model (SEM) to reveal how the beneficiaries’ satisfaction enhance their trust in State Grid. The data were obtained from a survey of 928 PPAPs’ beneficiaries by stratified and random sampling in Chinese rural areas. Results: The results confirm that environmental perception in this study positively impacts on beneficiaries’ satisfaction. And perceived quality also has a positive effect on beneficiaries’ satisfaction and trust in State Grid, however, social influence has a negative impact on beneficiaries’ satisfaction; behavior expectation can directly promote beneficiaries’ satisfaction, while indirectly propel their trust in State Grid. Conclusions: This study constructs an integrated customer satisfaction model from the perspective of beneficiaries and proposes relevant measures to promote the adoption of solar PV that can be applied to poverty reduction of other developing countries worldwide.

scholarly journals How does satisfaction of solar PV users enhance their trust in the power grid? - Evidence from PPAPs in rural China

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Liping Ding ◽  
Yin Shi ◽  
Chenchen He ◽  
Qiyao Dai ◽  
Zumeng Zhang ◽  
...  
Keyword(s):  
Customer Satisfaction ◽  
Rural Areas ◽  
Structural Equation ◽  
Poverty Reduction ◽  
Negative Impact ◽  
Positive Impact ◽  
Rural China ◽  
Rural Poverty ◽  
Equation Model ◽  
Solar Pv

Abstract Background Photovoltaic Poverty Alleviation Projects (PPAPs) have been implemented in Chinese rural areas since 2014. As a new energy policy, PPAPs have played an important role in alleviating rural poverty. However, the adoption of solar PV faces multiple barriers from the perspective of beneficiaries. Therefore, this study aims to discuss and analyze factors affecting beneficiaries’ satisfaction and their trust in State Grid, promoting the adoption of solar PV. Methods Based on the integrated American Customer Satisfaction Index (ACSI) and Unified Theory of Acception and Use of Technology (UTAUT) model, this study used the Structural Equation Model (SEM) to reveal how the beneficiaries’ satisfaction enhance their trust in State Grid. The data were obtained from a survey of 928 PPAPs’ beneficiaries by stratified and random sampling in Chinese rural areas. Results The results confirm that environmental perception in this study has positive impact on beneficiaries’ satisfaction. In addition, perceived quality also has a positive effect on beneficiaries’ satisfaction and trust in State Grid; however, social influence has a negative impact on beneficiaries’ satisfaction; behavior expectation can directly promote beneficiaries’ satisfaction while indirectly propel their trust in State Grid. Conclusions This study constructs an integrated customer satisfaction model from the perspective of beneficiaries and proposes relevant measures to promote the adoption of solar PV that can be applied to poverty reduction in other developing countries worldwide.

The Influence of Social Support on Customer Satisfaction Based on the Consumer Experience Theory

2020 ◽  
Vol 11 (4) ◽  
pp. 70-81
Author(s):  
Pinghao Ye ◽  
Liqiong Liu ◽  
Linxia Gao ◽  
Quanjun Mei
Keyword(s):  
Social Support ◽  
Customer Satisfaction ◽  
Purchase Intention ◽  
Structural Equation ◽  
Equation Model ◽  
Consumer Experience ◽  
Factors Affecting ◽  
Customer Feedback ◽  
Support Theory ◽  
The Social

Customer satisfaction (CS) is an important factor determining the success of online clothing shopping. This document tries to analyze factors affecting CS towards online clothing shopping through a systematic study, in a bid to help online clothing retailers improve CS for higher sales. Based on the social support theory, the authors created a model of factors affecting CS towards online clothing shopping and conducted a questionnaire survey to obtain customer feedback, which was then analyzed through a structural equation model. The analysis results indicate that sensory experience (SE), quality experience (QE), trust (TR), and recommendation (RE) exerted favorable effects on CS towards online clothing shopping, and CS, as a mediating variable, affected customer loyalty (CL), and purchase intention (PI) positively.

scholarly journals Examining The Social Impact of Microfinance on Poverty Reduction

2021 ◽  
Vol 5 (1) ◽  
pp. 11-23
Author(s):  
DR. SAIF UL MUJAHID SHAH ◽  
DR. ANWAR UL MUJAHID SHAH ◽  
SYED ARSHAD ALI SHAH
Keyword(s):  
Rural Areas ◽  
Structural Equation ◽  
Poverty Reduction ◽  
Social Impact ◽  
Negative Impact ◽  
Social Indicators ◽  
Economic Indicators ◽  
The Past ◽  
The Social ◽  
The Impact

As Poverty has become a global challenge for all the nations around the world, from the past many years, different strategies have been used to reduce it. However, since 1980s Microfinance has become a powerful tool to alleviate poverty and it's not adopted even in the developing countries but also developed nations have been practicing it. Many of the past studies used the economic indicators to measure the impact of microfinance on poverty reduction, and few have concentrated on the social indicators. The purpose of this research is to examine the effect of microfinance as a poverty reduction in terms of social indicators in the rural areas of northern Khyber Pakhtunkhwa, Pakistan. The objective of this research is to check whether the established NGOs in the concern areas have been successful in bringing social change in the life of the beneficiaries. For the purpose of analysis, the structural equation model is applied to a sample of 440 collected through a structured questionnaire. Results show that microfinance had a negative impact on the health and education of the beneficiaries. This research indicates that more funds and priority should be given to the education and health sector because they have equal importance as compared to the other economic indicators.

The impact of trade liberalization on poverty reduction in rural China

2018 ◽  
Vol 10 (4) ◽  
pp. 683-694
Author(s):  
Jun Wang ◽  
Yong Hu
Keyword(s):  
Trade Liberalization ◽  
Survey Data ◽  
Rural Areas ◽  
Poverty Reduction ◽  
Rural China ◽  
Rural Poverty ◽  
Probit Model ◽  
Poverty Line ◽  
Content Type ◽  
The Impact

PurposeThe purpose of this paper is to investigate how trade liberalization influences rural poverty reduction in China.Design/methodology/approachThe authors make use of China Family Panel Studies survey data, take annual income of farmers of RMB2,300 and RMB3,450 as the poverty lines (poverty line 1 and poverty line 2, respectively). Residents below poverty line 1 and poverty line 2 are 2,580 and 2,661, respectively. Probit model is used to estimate the impact of trade liberalization on the poverty probability. Income-deciding equation is used to estimate the impact of trade liberalization on the income level of poor residents in rural areas. Income-deciding equation is also used to examine the transmission mechanism of trade liberalization affecting rural poverty.FindingsThis study finds that trade liberalization can reduce the poverty probability of rural residents and promote the income growth of poor residents in rural areas. Trade liberalization increases the income of poor residents and reduces poverty through transmission mechanisms such as promoting economic growth and financial expenditure.Originality/valueTo the authors’ knowledge, this is the first empirical study to quantitatively model the impact of trade liberalization on rural poverty reduction in China using residents’ survey data.

scholarly journals THE DETERMINANTS OF RURAL POVERTY (A Study of Tobacco Farmers in Temanggung)

2018 ◽  
Vol 6 (1) ◽  
pp. 037
Author(s):  
Fuad Hasyim
Keyword(s):  
Rural Areas ◽  
Structural Equation ◽  
Poverty Reduction ◽  
Rural Poverty ◽  
Primary Data ◽  
Equation Modeling ◽  
Structural Problem ◽  
Analysis Techniques ◽  
Independent Variables ◽  
The Poor

Rural poverty is a problem that seemed vicious because poverty is a structural problem that will always be there. Poverty of farmers in rural areas must be addressed in an effort to increase the capacity and capability of farmers to form farmers' productive behaviors that have an impact on increasing empowerment.This study tried to explore the problems of poverty in rural areas, particularly poverty tobacco farmers in Temanggung. This is motivated because the Temanggung tobaccos are the world's best tobacco, but its majority people are poor. This study uses primary data approach, the method of Structural Equation Modeling (SEM) using path analysis. Then in-depth explanation with interviews and observations analysis techniques to obtain optimal qualitative interpretation.The results showed that the capacity, culture, government empowerment, social capital and religiosity as independent variables affect the attitudes of society, which in turn affect the empowerment of the poor as poverty reduction efforts.

scholarly journals Research on the impact of COVID-19 on Chinese small and medium-sized enterprises: Evidence from Beijing

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0257036
Author(s):  
Zhengwei Ma ◽  
Yiran Liu ◽  
Yida Gao
Keyword(s):  
Structural Equation ◽  
Negative Impact ◽  
Equation Model ◽  
Policy Support ◽  
Government Policies ◽  
Factors Affecting ◽  
Industry And Commerce ◽  
The Impact ◽  
The Relationship ◽  
Beijing China

COVID-19 leads small and medium-sized enterprises (SMEs) to survive very hard. The development difficulties of SMEs lead to weak employment and GDP growth in various countries. In the process of COVID-19’s continuous spread, what is the major reason for the difficulties of SMEs? This paper hopes to answer this question by studying SMEs in Beijing. On this basis, this paper uses structural equation model (SEM) to study the relatively fast recovery of SMEs in Beijing, China, to explore the factors affecting SMEs in the pandemic. After detailed desk research and interviews with relevant entrepreneurs, this paper collects 234 valid questionnaires from SMEs in various industries in Beijing with the help of Federation of Industry and Commerce and Chamber of Commerce in Beijing. Then the data is analyzed with the SEM, which shows the relationship between cash flow from financing activities, markets, employees, costs, government policies and the impact of the pandemic. Finally, an impact model of the pandemic on SMEs is established. The result of the model indicates that the direct effect of the pandemic on the market is the most prominent, and government policies can significantly reduce the negative impact of the pandemic on SMEs indirectly. Based on this, this paper puts forward some policy suggestions, such as the targeted issuance of consumption vouchers and the reduction of administrative barriers. This will enable megacities in various countries to improve policy support for SMEs and promote the recovery and development of SMEs.

scholarly journals Customer Loyalty of the Cement Products: The Role of Marketing, Service Quality and Customer Satisfaction

2017 ◽  
Vol 8 (2) ◽  
pp. 213
Author(s):  
Dachlan Taha ◽  
Basri Modding ◽  
Sabri Hasan ◽  
Hamza Ella
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Customer Loyalty ◽  
Structural Equation ◽  
Negative Impact ◽  
Equation Model ◽  
Insignificant Effect ◽  
South Sulawesi ◽  
Marketing Variables ◽  
Marketing Service

<p>The purpose of this study was to analyze marketing, service quality and its impact on customer satisfaction and customer loyalty, and analyze the influence marketing and service quality on customer loyalty as a mediator customer satisfaction. Research conducted in South Sulawesi province with a sample of 215 local and national developers who use Tonasa cement products. Data from the questionnaires were analyzed using Structural Equation Model using AMOS 18 and Sobel test for mediator effect. The study found that marketing has a negative and no significant effect on customer satisfaction. In general the users complained marketing Tonasa cement applied by the cement Tonasa Company and this is the cause of marketing judged negatively, thus providing insignificant effect on customer satisfaction. Services quality has a positive and insignificant effect on customer loyalty. Service quality has done well, but the demand for service quality shown Tonasa Cement Company contributes insignificant effect on customer loyalty. Marketing has a negative and insignificant effect on customer loyalty as a mediator customer satisfaction. It shows that all the indicator do not provide reinforcement to the marketing variables that cause a negative impact and customer satisfaction is not able to mediate to have a significant effect on customer loyalty.</p>

scholarly journals A Study on the Factors Affecting the Rural Revitalization in Industrial Industry by Scientific Special Commissioners Based on PLS-SEM

CONVERTER ◽  
2021 ◽  
pp. 612-623
Author(s):  
Zhongyan Lin, Et al.
Keyword(s):  
Rural Areas ◽  
Convergent Validity ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Positive Impact ◽  
Equation Model ◽  
Good Reliability ◽  
Factors Affecting ◽  
Rural Revitalization ◽  
System Factors

Objective: To study the cause and effects of factors affecting the rural revitalization in industrial industry by scientific special commissioners and the intensity of the influence. Method: Using Partial Least Squares Structural Equation Model to make a statistical analysis of the factors that influence the promotion of rural areas by scientific special commissioners in Fuzhou. Result: The model has good reliability, convergent validity and discriminant validity. Conclusions: Policy factors, system factors and the scientific special commissioners' self-factors have a positive impact on the rural revitalization, and scientific special commissioners' self-factors have the greatest impact, followed by system factors and finally policy factors. The conclusion shows that under the background of the effective development of scientific special commissioners' work in Fuzhou guided and organized by governments at all levels, the innovation of policies and systems has achieved certain results in assisting the rural revitalization of scientific special commissioners, especially in the innovation of talent system, which has achieved remarkable results and fully mobilized the intelligence advantages, scientific and technological advantages and creative advantages of scientific special commissioners to serve the rural revitalization.

scholarly journals Social Capital, Technological Empowerment, and Resilience in Rural China

2021 ◽  
Vol 18 (22) ◽  
pp. 11883
Author(s):  
Chao Wang ◽  
Tao Zhang ◽  
Wendong Xu ◽  
Haibo Ruan ◽  
Jiayi Tang
Keyword(s):  
Social Capital ◽  
Rural Areas ◽  
Structural Equation ◽  
Social Trust ◽  
Positive Impact ◽  
Rural China ◽  
Equation Model ◽  
Prevention Measures ◽  
The Individual ◽  
Capital Construction

In the post-pandemic era, the need for resilient and flexible COVID-19 prevention strategies in rural areas has become increasingly prominent. Based on a sample of 2229 rural residents nationwide, the Structural Equation Model was adopted to analyze the influence of social capital and technological empowerment on pandemic resilience in rural areas. The proportion of diversity, adequacy, and effectiveness of pandemic prevention measures taken by communities was about 57%. Social capital (0.667) and technological empowerment (0.325) had a significant positive impact on rural resilience and pandemic prevention. Social capital plays a mediating role between technological empowerment and pandemic resilience in rural areas. The risk of disease in society stimulates the inherent social capital factors in villages, with the individual social network generating strong social support. Technological empowerment can not only provide new methods for the connection of social capital, but also bring new means for rural authorities to improve their governance capabilities. Social trust in social capital plays an important role in rural resilience and pandemic prevention. The indirect effect of technological empowerment through social capital on pandemic resilience is greater than its direct effect. Social capital construction is the key to rural resilience and pandemic prevention.

scholarly journals The relation between entrepreneurship and rural poverty alleviation in China

2019 ◽  
Vol 57 (9) ◽  
pp. 2593-2611 ◽  
Author(s):  
Eric Yaw Naminse ◽  
Jincai Zhuang ◽  
Fangyang Zhu
Keyword(s):  
Developing Countries ◽  
Rural Areas ◽  
Poverty Alleviation ◽  
Structural Equation ◽  
Rural China ◽  
Rural Poverty ◽  
Household Survey ◽  
Equation Modeling ◽  
Content Type ◽  
Practical Implications

Purpose There is a recent growing interest to find a lasting intervention to rural poverty (RP) in developing countries based on farmer entrepreneurship and innovation. The purpose of this paper, therefore, is to examine the relation between entrepreneurship and RP alleviation in two resource-constrained provinces of China. This paper assesses the influence of three capabilities of farm entrepreneurs – educational, economic and socio-cultural – on farmer entrepreneurship growth and how these, in turn, impact alleviation of RP. Design/methodology/approach Household survey data comprising 363 respondents were taken from four deprived communities in two provinces of China. The paper employed structural equation modeling (SEM), using AMOS 21.0 alongside SPSS 20.0 to test the relations between the constructs. Findings The results show that a statistically significant and positive relation exists between entrepreneurship and RP alleviation in China. The findings of the study further reveal that qualitative growth of entrepreneurship has a stronger positive influence on RP alleviation than on quantitative growth, and socio-cultural capabilities of respondents significantly and positively affect entrepreneurial growth of farmers, rather than education and economic capabilities. Research limitations/implications The use of data from four communities in two provinces tends to limit the ability to generalize the findings of the study. Furthermore, the survey did not collect information on non-farm entrepreneurs, making it impossible to compare the findings from farm entrepreneurs with non-farm entrepreneurs. Practical implications The findings have practical implications for policy makers in rural China toward addressing targeted RP. This paper, therefore, suggests that entrepreneurship should be pursued vigorously among farmers in rural areas of China to help solve poverty. The paper also presents a useful lesson for various stakeholders in poverty alleviation programs in other developing countries. Originality/value This paper contributes to the academic literature on the entrepreneurship–RP alleviation nexus by combining the theory of capability and SEM in the analysis of an emerging economy such as China.

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