scholarly journals RURAL RESIDENTS SATISFACTION AND INFLUENCING FACTORS IN THE SUPPLY OF PUBLIC GOODS IN CHINA

2019 ◽  
pp. 551-566
Author(s):  
Yaobo Shi ◽  
Xinxin Zhao
Keyword(s):  
Public Goods ◽  
Negative Impact ◽  
Shaanxi Province ◽  
Rural Residents ◽  
Empirical Results ◽  
Rural Public Goods ◽  
Probit Models ◽  
Relevant Reference ◽  
Public Products ◽  
Logit And Probit Models

The satisfaction of farmers with the supply of rural public goods is an importantindicator of the effectiveness of rural public goods investment. Using cross-sectionaldata on 400 farmers in five counties of China’s Shaanxi province, this study adoptsordinal logit and probit models to investigate rural residents’ satisfaction and theinfluencing factors in the supply of public goods. The empirical results indicate thatthe income of farmers has a significantly negative impact on their satisfaction, farmerswho were consulted in the process of public goods supply have higher satisfactionlevels than farmers who were not, and farmers who profited from the supply of publicgoods are more satisfied than those who did not. Additionally, other factors have asignificant impact on the satisfaction of certain public products. For example, the olderthe respondents, the higher their satisfaction with medical hygiene service and highereducation levels among the respondents reduce their satisfaction with compulsoryeducation. Our empirical results provide a relevant reference for governmentdepartments in China.

scholarly journals A Review of the Influence of Rural Public Goods Supply on Rural Residents’ Consumption—A Case Study of 2009-2019

2020 ◽  
Vol 6 (4) ◽  
pp. p108
Author(s):  
Yang Yinlei
Keyword(s):  
Public Goods ◽  
Main Body ◽  
Soft Landing ◽  
Rural Residents ◽  
Complex Situation ◽  
Republic Of China ◽  
Rural Public Goods ◽  
New Development ◽  
The Face ◽  
Reform And Opening Up

The supply of rural public goods and the consumption of rural residents are not only an important symbol of the quality of life of rural residents, but also reflect the satisfaction of the majority of rural residents to a better life. At the same time, the supply of rural public goods and the consumption of rural residents are also the “engine” and “ballast stone”. The supply of rural public goods and the consumption of rural residents are the “Chinese experience” to solve the crisis. In the early days of the founding of the people’s Republic of China, the reform and opening up of the production package, the soft landing of the 2008 financial tsunami was a solution to the crisis by adjusting the supply of rural public goods. In the face of the complex situation of the current international economy and the influence of the epidemic situation, a new development pattern with the large domestic circulation as the main body and the domestic and international double circulation promoting each other can not only resolve the overproduction of the city, but also realize the redistribution of urban and rural resources by stimulating consumption. The research on the supply of rural public goods in China has been fruitful. From 2009 to 2019, there were 2729 articles on the supply of rural public goods and the consumption of rural residents.

scholarly journals Where Can Tourism-Led Growth and Economy-Driven Tourism Growth Occur?

2018 ◽  
Vol 58 (5) ◽  
pp. 760-773 ◽  
Author(s):  
Vera Shanshan Lin ◽  
Yang Yang ◽  
Gang Li
Keyword(s):  
Growth Patterns ◽  
International Tourism ◽  
Causal Relationships ◽  
Regional Economic ◽  
Empirical Results ◽  
Developed Economies ◽  
The Past ◽  
Factors Influencing ◽  
Probit Models ◽  
Practical Implications

In this study, we investigate the causal relationships between international tourism growth and regional economic expansion in China, and more importantly, disclose the factors determining the occurrence of these relationships. The empirical results reveal that 10 of 29 regions experienced tourism-led growth (TLG) during 1978 to 2013, whereas nine regions experienced economy-driven tourism growth (EDTG). Different from the past literature, this study uses Bayesian probit models to unveil the factors influencing these different growth patterns. Our results suggest that regions with less-developed economies, larger economic sizes, and covering larger geographic areas are more likely to experience TLG, and regions with less-developed economies are more likely to experience EDTG as well. Lastly, practical implications are provided.

Cyber Risk Assessment and Mitigation (CRAM) Framework Using Logit and Probit Models for Cyber Insurance

2017 ◽  
Vol 21 (5) ◽  
pp. 997-1018 ◽  
Author(s):  
Arunabha Mukhopadhyay ◽  
Samir Chatterjee ◽  
Kallol K. Bagchi ◽  
Peteer J. Kirs ◽  
Girja K. Shukla
Keyword(s):  
Risk Assessment ◽  
Cyber Insurance ◽  
Probit Models ◽  
Logit And Probit Models ◽  
Cyber Risk

Evaluating Predictive power of Data Envelopment Analysis Technique Compared with Logit and Probit Models in Predicting Corporate Bankruptcy

2012 ◽  
Vol 02 (09) ◽  
pp. 38-46
Author(s):  
Khalili Araghi Maryam ◽  
Makvandi Sara
Keyword(s):  
Data Envelopment Analysis ◽  
Predictive Power ◽  
Environmental Changes ◽  
Stock Exchange ◽  
Rapid Development ◽  
Manufacturing Firms ◽  
Data Envelopment ◽  
Probit Models ◽  
Analysis Technique ◽  
Logit And Probit Models

Simultaneous with extensive environmental changes and the rapid development of technology which has increasingly accelerated economy, competitiveness economical enterprises have restricted earning profit and make probable closing of bankrupt firms. Thus it seems necessary to find a model that can predict financial crisis and bankruptcy of companies. Nowadays occurrence of significant progress in other sciences, such as computer and math attract the attention of the financial scholars toward designing and using more exact patterns like Data Envelopment Analysis (DEA). For this purpose, this study uses DEA technique to predict the bankruptcy likelihood of manufacturing firms and also compare its predictability with2 methods : Logit and Probit models. Study sample includes all manufacturing firms listed in Stock Exchange of Tehran from 2000-2010. The results showed that the accuracy of the designed model under DEA technique is %72 and the predictability of Logit and Probit models has been81, and %80 respectively. The results also showed DEA was proved to be an effective tool for predicting bankruptcy likelihood of manufacturing firms; but,it acted less efficient than Logit and Probit models.

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