Fuzzy Measures of Multidimensional Poverty in the Mediterranean Area: A Focus on Financial Dimension

Ciani, Martina; Gagliardi, Francesca; Riccarelli, Samuele; Betti, Gianni

doi:10.3390/su11010143

Cited by 20 publications

(20 citation statements)

References 45 publications

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“…Multidimensional, objective or subjective measures of well-being are clearly related to Sustainable Developments Goals (SDGs), and in fact they are listed under SDGs 1 and 10-Goal 1 "No poverty" and Goal 10 "Reduced inequalities", with special focus on Target 1.2: "By 2030, reduce at least by half the proportion of men, women and children of all ages living in poverty in all its dimensions according to national definitions". These relationships were clearly highlighted in some recent original research [10,11].…”

Section: Introductionmentioning

confidence: 82%

Objective Environmental Indicators and Subjective Well-Being: Are They Directly Related?

et al. 2020

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This paper discusses how objective environmental indicators affect the measure of a country’s well-being. The dependent variable in the analysis is subjective well-being (WB), for which the objective environmental variable we use is per capita carbon dioxide (CO2) emissions. The paper refers to the relationship between subjective well-being and a set of objective variables representing the four basic types of capital to satisfy human needs and to ensure the well-being of future generations based on the ecological economic systems. Implementing different mediation models, estimated using structural equation modeling, we discover that the objective environmental variable does not directly affects the country’s subjective well-being, while, according to different models, the mediated effects are statistically significant in explaining subjective well-being. The surprising results lead us to think that the environmental risks related to CO2 emissions might not be correctly perceived by the public.

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Section: Introductionmentioning

confidence: 82%

Objective Environmental Indicators and Subjective Well-Being: Are They Directly Related?

et al. 2020

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“…Public welfare communication involves donated money, goods and other information related to property safety. Once it is not checked, it will be widely spread, which will significantly discourage public enthusiasm and public confidence [25][26][27][28]. In addition, people participate in public welfare in a light, pleasant and convenient way, mainly because of people's sympathy.…”

Section: Analysis Of the Problems Of Current Public Media Communicatimentioning

confidence: 99%

Poverty Measure Based on Hesitant Fuzzy Decision Algorithm under Social Network Media

Suwei

Sun

2020

Symmetry

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This study aims to solve the problem that the traditional method of measuring the poverty level in rural and urban areas of China from a purely monetary perspective can’t comprehensively analyze and reflect the poverty. In this study, a multidimensional poverty measurement model with non-monetary indicators is proposed, the data of families and their members provided by the China Health and Nutrition Survey (CHNS) of a certain year’s health and nutrition survey in China are used for analysis, and a fuzzy set method is adopted to analyze the poverty situation in various regions of China. First, the fuzzy function set method is used to calculate the one-dimensional poverty index. On the basis of income, the multi-dimensional poverty fuzzy index is calculated from five dimensions, including education, health, assets, and living standard. The calculation results of the single-dimensional poverty and the multi-dimensional poverty are compared to further analyze the reasons of the family poverty of rural residents. Second, the poverty rate of each dimension in each region is calculated by referring to the appropriate measurement indexes of each dimension of the message passing interface (MPI) team. The results show that the concept of measuring poverty by the fuzzy set method is more sensitive to the overall distribution of population in the poverty dimension than the poverty line method. Compared with the poverty line method, the fuzzy set method can better consider the overall distribution of population in poverty dimension. Accordingly, China should strengthen the infrastructure construction in rural areas, increase the investment in education in rural areas, and improve the overall quality of the poor population.

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“…Affordability Percentage of floating range of RMB loan interest rate negative 1 The rural financial institutions in this article include rural commercial banks, rural cooperative banks, rural credit cooperatives, village banks, rural loan companies, rural fund mutual aid cooperatives; Land area indicator is substituted by agricultural land area. 2 Limited by provincial data, the deposit balance and loan balance in this article are substituted by the deposit balance and loan balance of rural credit cooperatives. 3 In this article, the bad loan ratio of rural financial institutions in each province is obtained by the conversion of the bad loan ratio of the commercial banks in various provinces according to the ratio of bad loan between national rural commercial banks and national commercial banks.…”

Section: China'srural Inclusive Financial Development Index (Crifi)mentioning

confidence: 99%

“…Its manifestations include hunger and malnutrition, limited access to education and other basic services, social discrimination and exclusion, as well as the lack of participation in insurance and decision-making. As multidimensional poverty is treated as matters of degree determined in terms of the individual's position in the distribution of some aspects of their living conditions and basic feasible capacity [2], we should use a new multidimensional method to measure poverty and analyze whether inclusive financial development can effectively alleviate multidimensional poverty, which helps countries gauge program effectiveness and guide their development strategy in a rapidly changing economic environment.…”

Section: Introductionmentioning

confidence: 99%

Inclusive Financial Development and Multidimensional Poverty Reduction: An Empirical Assessment from Rural China

Yang

Chenyu

2019

Sustainability

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Inclusive finance is often considered to be a critical element that makes growth inclusive, as access to finance can enable the poor to lift themselves from income poverty. However, can it play such a role when the poor are in multidimensional poverty? Why does financial exclusion and poverty still exist in countries with vigorous development of inclusive finance? We build an evolutionary game model to analyze the equilibrium strategies of inclusive financial institutions and the poor in poverty reduction activities to find the answers. As there is a high incidence of poverty and serious financial exclusion in rural areas of China, we test the poverty reduction effectiveness of inclusive financial development on the poor with different labor capacity in rural China from 2010 to 2016 based on survey data of China Family Panel Studies and relevant statistics collected from 21 provinces. Our study finds there are differences in poverty alleviation effects of inclusive financial development among the poor with different labor capacities; if financial institutions target the service precisely to the working-age population in rural areas, they will achieve the dual goals of maintaining institutional sustainable development and alleviating poverty; And the development of inclusive finance in aspects of permeability, usability, and utility can significantly reduce multidimensional poverty. Therefore, to further improve the multidimensional poverty reduction performance and stimulate the endogenous motivation of the poor, it is necessary to strengthen the support for financial resources served to the working-age population, and to improve the development of rural inclusive finance in aspects of quality and affordability.

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Fuzzy Measures of Multidimensional Poverty in the Mediterranean Area: A Focus on Financial Dimension

Cited by 20 publications

References 45 publications

Objective Environmental Indicators and Subjective Well-Being: Are They Directly Related?

Objective Environmental Indicators and Subjective Well-Being: Are They Directly Related?

Poverty Measure Based on Hesitant Fuzzy Decision Algorithm under Social Network Media

Inclusive Financial Development and Multidimensional Poverty Reduction: An Empirical Assessment from Rural China

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