Communication Efficiency of Local Governments in China: Measurements and Influencing Factors in Public Emergencies

2022 ◽  
Author(s):  
Tong Zhang ◽  
Liyuan Lv ◽  
Chao Yang ◽  
Cui Huang
Keyword(s):  
Influencing Factors ◽  
Local Governments ◽  
Communication Efficiency

scholarly journals A SCI Analysis Model: Research on Influencing Factors of Local E-Government Responsiveness in China

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Shaoqing Tian ◽  
Rongrong He ◽  
Chongli Huang ◽  
Qiong Feng ◽  
Fan Jiang
Keyword(s):  
Influencing Factors ◽  
Local Governments ◽  
Field Experiments ◽  
Interaction Analysis ◽  
Response Probability ◽  
Practical Significance ◽  
Analysis Model ◽  
Response Level ◽  
Government Websites ◽  
Government Responsiveness

In order to explore the influencing factors of the e-government responsiveness in China, the System-Competition-Interaction analysis model was proposed to reflect the ability of e-government to respond to citizens’ demands. 960 pieces of information were collected from 480 local e-government websites in China, and field experiments were conducted on how local governments responded to citizens’ demands. The results show that there are regional differences in e-government responsiveness in China. The response probability of Northeast China is the lowest, and that of western region is the slowest. The response system and neighborhood effect are the core elements that affect e-government responsiveness. The interaction demands of citizens can not significantly affect government responsiveness. According to the research results, the practical enlightenment is that the future should change from “system-driven response” and “competition-driven response” to “citizen-driven response,” which is of a certain practical significance for improving the response level of e-government of local governments in China.

scholarly journals Hydrochemical characteristics and influencing factors of mine water in Tangjiahui mining area

2021 ◽  
Author(s):  
Wang Shidong ◽  
Tang Hongwei ◽  
Yang Zhibin ◽  
Liu Ji ◽  
Zhu Hongjun ◽  
...  
Keyword(s):  
Coal Mining ◽  
Influencing Factors ◽  
Mine Water ◽  
Local Governments ◽  
Mass Concentration ◽  
Water Resource Management ◽  
Mining Area ◽  
Human Consumption ◽  
Hydrochemical Characteristics ◽  
Hydrochemical Type

Abstract In water-deficient areas, the reuse of water discharged from coal mining is highly desirable. In order to study the water quality in the Tangjiahui mining area in Jungar Coalfield (Inner Mongolia, China), 34 groups of mine water samples collected at various stages during coal mining process were analyzed for their hydrochemical characteristics using conventional and statistical methods. A Piper trilinear diagram was used to analyze the main ion composition characteristics and the hydrochemical type of the mine water. Gibbs map and ion correlation methods were used to investigate the sources and influencing factors of the main ions in mine water. The results showed that the TH of the mine water in the study area was in the range of 219.52–390.6 mg/L with an average of 315.04 mg/L, which can be classified as slightly hard/ hard water. The TDS was in the range of 926.61–1889.56 mg/L with an average of 1514.31 mg/L, which mostly belongs to brackish water. The cation content in the mine water was ranked from the highest to the lowest as Na + > Ca 2+ > Mg 2+ , while the anion content was ranked as Cl − > HCO 3 − > SO 4 2− . The Na + mass concentration was in the range of 179.00–523.06 mg/L with an average of 399.77 mg/L, while the Cl − mass concentration was in the range of 207.10–812.63 mg/L with an average of 550.88 mg/L. The hydrochemical type of the mine water was Cl-Na. According to the correlation matrix of the various chemical indicators in the mine water, the TDS was significantly positively correlated with Na + , Ca 2+ , Cl − , and SO 4 2− . Of these, the main sources of TDS were Na + and Cl − , as these had correlation coefficients > 0.9. The hydrochemical characteristics of the mine water were mainly controlled by the condensation-crystallization and anti-cation exchange, which indicated the main ions were largely derived from the dissolution of halite . Due to its high TDS, EC,SAR, and Na% values, the mine water in the study area was not suitable for human consumption and agricultural irrigation. These results can provide a reference towards water resource management and the sustainable use of mine water by local governments.

scholarly journals Multilevel Governments’ Decision-Making Process and Its Influencing Factors in Watershed Ecological Compensation

2019 ◽  
Vol 11 (7) ◽  
pp. 1990 ◽  
Author(s):  
Xin Gao ◽  
Juqin Shen ◽  
Weijun He ◽  
Fuhua Sun ◽  
Zhaofang Zhang ◽  
...  
Keyword(s):  
Water Pollution ◽  
Water Resources ◽  
Influencing Factors ◽  
Local Governments ◽  
Central Government ◽  
Stable State ◽  
Chinese Government ◽  
Transboundary Water ◽  
Ecological Compensation ◽  
Supervisory Skills

Transboundary water pollution is a long-standing problem in China, although the Chinese government has been committed to the protection of water resources. Due to the different interests of multilevel governments and the regionalization of management, there is still no unified plan to solve the transboundary water pollution in China. Watershed ecological compensation as a holistic plan to deal with transboundary water pollution is being promoted currently. Taking the South-to-North Water Transfer Project’ eastern route as an example, this paper firstly analyses stakeholders’ strategies and establishes a tripartite game model based on evolutionary game theory. Secondly, by introducing Cobb Douglas production function creatively, the supervision level of the central government is refined into supervisory attitude and supervisory skills. Thirdly, the numerical simulation is used to analyze the sensitivity of influencing factors. The results show that: (1) whether the central government supervises the local governments mainly depends on the benefits of water environment improvement and supervision costs; (2) the initial negotiation plan of the stakeholders has a significant impact on their optimum strategies; (3) the fines imposed by the central government on the local governments have a small impact on the stable state of the system; (4) the higher the eco-compensation fee, the lower their likelihood of cooperation; (5) the central government’s supervisory attitude and supervisory skills have significant effect on the sustainability of the optimum arrangement, even when willingness of upstream and downstream governments to cooperate is low; (6) the initial ecological benefits of downstream governments have no effect on the optimum strategy. Therefore, considering these insights is helpful to improve the watershed ecological compensation mechanism in order to solve transboundary water pollution and achieve the sustainability of water resources.

scholarly journals Evolution of the Spatial Pattern of the Assets and Environmental Liabilities Conversion Rate and Its Influencing Factors

2021 ◽  
Vol 13 (16) ◽  
pp. 9164 ◽  
Author(s):  
Xiaofang Chen ◽  
Wenlei Xia ◽  
Yuan Huang ◽  
Mingze Li ◽  
Wei Wan
Keyword(s):  
Spatial Pattern ◽  
Influencing Factors ◽  
Local Governments ◽  
Conversion Rate ◽  
Negative Impact ◽  
Positive Impact ◽  
Environmental Liabilities ◽  
Conversion Rates ◽  
Development Levels ◽  
Impact Of Urbanization

With the extensive development of the economy, environmental degradation has become a serious global issue. How to ensure the sustainable development of regional environments has drawn widespread attention from governments, academia, and the public. As an index to measure the efficiency of financial expenditure on the environment by local governments, the assets and environmental liabilities conversion rate (AELCR), along with the spatial pattern changes it presents and the factors it is affected by, is worthy of in-depth study. This study took the AELCRs of 31 provinces in China from 2012 to 2017 as the research objects, analyzed their spatial patterns and evolution using GeoDa software, and explored their spatial distribution using a spatial econometric model. The results show that, on the whole, China’s provinces were characterized by unbalanced economic development and large gaps in development levels, and there were significant differences in the efficiencies of fiscal expenditure for environmental protection between regions. Overall, there was a negative correlation between China’s neighboring provinces, and there was strong heterogeneity between provinces with a low conversion efficiency and the surrounding provinces. Locally, most provinces did not show significant spatial correlation, while the local similarities of the AELCRs decreased from 2012 to 2017, and the heterogeneities increased. Through the analysis of influencing factors, it was found that the urbanization level and provincial R&D investment positively increased the AELCRs, where the positive impact of urbanization was more obvious; resource tax and urban infrastructure investment were negatively correlated with the conversion rates, and the negative impact of resource tax was greater. The findings of this study provide important theoretical and practical implications for local governments to reasonably allocate environmental expenditure and improve their conversion rate of assets and environmental liabilities.

scholarly journals Diarrhea in Under Five Year-old Children in Nepal: A Spatiotemporal Analysis Based on Demographic and Health Survey Data

2020 ◽  
Vol 17 (6) ◽  
pp. 2140
Author(s):  
Ruixue Li ◽  
Yingsi Lai ◽  
Chenyang Feng ◽  
Rubee Dev ◽  
Yijing Wang ◽  
...  
Keyword(s):  
High Risk ◽  
Influencing Factors ◽  
Local Governments ◽  
Protective Factor ◽  
Disease Risk ◽  
Credible Interval ◽  
Effective Control ◽  
Demographic And Health Surveys ◽  
Under Five ◽  
Diarrhea Prevalence

Background: Diarrhea in children under five years of age remains a challenge in reducing child mortality in Nepal. Understanding the spatiotemporal patterns and influencing factors of the disease is important for control and intervention. Methods: Data regarding diarrhea prevalence and its potential influencing factors were extracted from the Demographic and Health Surveys in Nepal and other open-access databases. A Bayesian logistic regression model with district-specific spatio-temporal random effects was applied to explore the space and time patterns of diarrhea risk, as well as the relationships between the risk and the potential influencing factors. Results: Both the observed prevalence and the estimated spatiotemporal effects show a decreasing diarrhea risk trend from 2006 to 2016 in most districts of Nepal, with a few exceptions, such as Achham and Rasuwa. The disease risk decreased with mothers’ years of education (OR 0.93, 95% Bayesian Credible Interval (BCI) 0.87, 0.997). Compared to spring, autumn and winter had lower risks of diarrhea. The risk firstly increased and then decreased with age and children under 12–24 months old were the highest risk group (OR 1.20, 95% BCI 1.04, 1.38). Boys had higher risk than girls (OR 1.24, 95% BCI 1.13, 1.39). Even though improved sanitation wasn’t found significant within a 95% BCI, there was 93.2% of chance of it being a protective factor. There were no obvious spatiotemporal clusters among districts and each district tended to have its own spatiotemporal diarrhea prevalence pattern. Conclusions: The important risk factors identified by our Bayesian spatial-temporal modeling provide insights for control and intervention on children diarrhea in Nepal. Special attention should be paid to high risk groups of children and high risk seasons, as well as districts with high risk or increased trend of risk. Effective actions should be implemented to improve sanitation and women’s education level. District-specific control planning is recommended for local governments for effective control of children diarrhea in Nepal.

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