scholarly journals Research on the Impact of Income Gap on Environmental Pollution Based on Balanced Panel Data of 48 Countries

2021 ◽  
Vol 781 (3) ◽  
pp. 032003
Author(s):  
Li Luo ◽  
Xiaoming Ma
Author(s):  
Shi Wang ◽  
Yizhou Yuan ◽  
Hua Wang

Previous studies show that the environmental quality is significantly influenced by corruption and the hidden economy separately. However, what is the impact of their interaction effect on environmental quality? Based on Multiple Indicators Multiple Causes (MIMIC) model, this study calculates the scale of hidden economy in Chinese provinces firstly. Then, we apply the method of spatial econometrics to analyze the interaction effect of corruption and the hidden economy on environmental pollution with China’s provincial panel data from 1998 to 2017. The results indicate that the interaction effect between corruption and hidden economy significantly increases pollutant discharge, suggesting that both anti-corruption and control of the hidden economy may improve environmental quality directly and indirectly.


2020 ◽  
Vol 17 (3) ◽  
pp. 58-66
Author(s):  
P. A. Korotkov ◽  
A. B. Trubyanov ◽  
A. A. Avdeeva ◽  
A. I. Gismieva

The article considers an econometric approach to the analysis of relation between the population morbidity rate depending on ecology and the environmental pollution index. Panel data are used in this approach.The purpose is to find quantitative relations between the state of the environment and public health under the differentiated man-caused load threatening public health in the Republic of Mari El. Materials and methods. The research methods are based on the approaches to correlation and regression analysis of the panel data. In order to identify the environmental pollution index statistically related to the morbidity rate, Pearson and Spearman's correlation coefficients were calculated. Then the regression models for the panel data were developed: a fixed-effect model and a random-effect model. The sources of the panel data are the following: Regional Statistics Office in the Mari El Republic (Maristat), Office of the Federal Service for Surveillance on Consumer Rights Protection and Human Wellbeing in the Mari El Republic (Rospotrebnadzor) and Ministry of Healthcare of the Mari El Republic. The data include six air and water pollution indexes and seven priority indicators of the population morbidity rate in 15 municipal districts of the Mari El Republic in the period of 2009–2017.Results. The analysis of the Pearson and Spearman's correlation coefficients helped to identify environmental pollution indexes closely related to the population morbidity rate. These indicators were used as input data of the panel regression model. Three statistically significant panel regression models were identified. They describe the impact of pollution of drinking water from the distributed network on bronchial asthma morbidity among 0–14-aged children diagnosed for the first time in their life; and the impact of emission into the atmosphere of pollutants from the point emission sources on gastritis and duodenitis morbidity among 15–17 aged teenagers diagnosed for the first time in their life.Conclusion. The identified models have biological plausibility. The ethiopathogenetic analysis confirms the possibility of existence of the identified relations. The statistically significant relations between environmental pollution and public health do not prove existence of cause-and-effect links between them. It is statistical demonstration of the hypothesis of their possible existence. This demonstration is an essential work stage to make the hypothesis a hard fact. In the future, it is proposed to use additional, more objective and integral evaluation of environmental quality, for example, the fluctuating asymmetry of bilateral features of biological objects.


2021 ◽  
Vol 3 (5) ◽  
pp. 7-11
Author(s):  
Yufei Xue ◽  
Xuhua Pan

Based on the analysis of mathematical economic models and using panel data from Chinese 31 provinces (excluding Hong Kong, Macao and Taiwan) from1978 to 2019, empirically analyzing the influence of agricultural mechanization on Chinese urban-rural income gap by using the comprehensive FGLS (Feasible Generalized Least Square) estimation. Finally found that, in China, agricultural mechanization can significantly narrow urban-rural income gap, and Suggestions are put forward to improve the level of Chinese agricultural mechanization and narrow Chinese urban-rural income gap.


2019 ◽  
pp. 46-64 ◽  
Author(s):  
Vladimir V. Klimanov ◽  
Sofiya М. Kazakova ◽  
Anna A. Mikhaylova

The article examines the impact of various socio-economic and financial indicators on the resilience of Russian regions. For each region, the integral index of resilience is calculated, and its correlation dependence with the selected indicators is revealed. The study confirms the relationship between fiscal resilience and socio-economic resilience of the regions. The analysis of panel data for 75 regions from 2007 to 2016 shows that there are significant differences in the dynamics of indicators in different periods. In particular, the degree of exposure to the negative effects of the crises of 2008—2009 and 2014—2015 in non-resilient regions is higher than in resilient ones.


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