Welfare Participation Reduced Severe Child Multidimensional Poverty in Rural China: Better Targeting Can Lead to Greater Poverty Reduction

2021 ◽  
Author(s):  
Qin Gao ◽  
Fuhua Zhai ◽  
Yi Wang
Keyword(s):  
Poverty Reduction ◽  
Rural China ◽  
Multidimensional Poverty ◽  
Welfare Participation

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

2019 ◽  
Vol 11 (7) ◽  
pp. 1900 ◽  
Author(s):  
Yanlin Yang ◽  
Chenyu Fu
Keyword(s):  
Financial Development ◽  
Financial Institutions ◽  
Rural Areas ◽  
Poverty Reduction ◽  
Rural China ◽  
Multidimensional Poverty ◽  
The Poor ◽  
Financial Exclusion ◽  
Working Age ◽  
Working Age Population

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.

scholarly journals Evaluating the Impacts of Smallholder Farmer’s Participation in Modern Agricultural Value Chain Tactics for Facilitating Poverty Alleviation—A Case Study of Kiwifruit Industry in Shaanxi, China

Agriculture ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 462
Author(s):  
Hongyu Wang ◽  
Xiaolei Wang ◽  
Apurbo Sarkar ◽  
Lu Qian
Keyword(s):  
Value Chain ◽  
Rural Areas ◽  
Poverty Alleviation ◽  
Poverty Reduction ◽  
Smallholder Farmers ◽  
Multidimensional Poverty ◽  
Well Being ◽  
Reduction Degree ◽  
Poverty Level ◽  
Storage Technology

Market-based initiatives like agriculture value chain (AVC) are becoming progressively pervasive to support smallholder rural farmers and assist them in entering larger market interventions and providing a pathway of enhancing their socioeconomic well-being. Moreover, it may also foster staggering effects towards the post-era poverty alleviation in rural areas and possessed a significant theoretical and practical influence for modern agricultural development. The prime objective of the study is to explore the effects of smallholder farmers’ participation in the agricultural value chain for availing rural development and poverty alleviation. Specifically, we have crafted the assessment employing pre-production (improved fertilizers usage), in-production (modern preservation technology), and post-production (supply chain) participation and interventions of smallholder farmers. The empirical data has been collected from a micro survey dataset of 623 kiwifruit farmers from July to September in Shaanxi, China. We have employed propensity score matching (PSM), probit, and OLS models to explore the multidimensional poverty reduction impact and heterogeneity of farmers’ participation in the agricultural value chain. The results show that the total number of poor farmers who have experienced one-dimensional and two-dimensional poverty is relatively high (66.3%). We also find that farmers’ participation in agricultural value chain activities has a significant poverty reduction effect. The multidimensional poverty level of farmers using improved fertilizer, organizational acquisition, and using storage technology (compared with non-participating farmers) decreased by 30.1%, 46.5%, and 25.0%, respectively. The multidimensional poverty reduction degree of male farmers using improved fertilizer and participating in the organizational acquisition is greater than that of women. The multidimensional poverty reduction degree of female farmers using storage and fresh-keeping technology has a greater impact than the males using storage and improved storage technology. Government should widely promote the value chain in the form of pre-harvest, production, and post-harvest technology. The public–private partnership should also be strengthened for availing innovative technologies and infrastructure development.

scholarly journals Understanding Structure of Poverty Dimensions in East Java: Bicluster Approach

2017 ◽  
Vol 6 (2) ◽  
pp. 289-300 ◽  
Author(s):  
Budi Yuniarto ◽  
Robert Kurniawan
Keyword(s):  
Data Mining ◽  
Poverty Reduction ◽  
Multidimensional Poverty ◽  
Two Dimensional ◽  
View Point ◽  
Dimensional Matrix ◽  
Clustering Patterns

Poverty is still become a main problem for Indonesia, where recently, the view point of poverty is not just from income or consumption, but it’s defined multidimensionally. The understanding of the structure of multidimensional poverty is essential to government to develop policies for poverty reduction. This paper aims to describe the structure of poverty in East Java by using variables forming the dimensions of poverty and to investigate any clustering patterns in the region of East Java with considering the poverty variables using biclustering method. Biclustering is an unsupervised technique in data mining where we are grouping scalars from the two-dimensional matrix. Using bicluster analysis, we found two bicluster where each bicluster has different characteristics.DOI: 10.15408/sjie.v6i2.4769

scholarly journals Poverty alleviation research in rural China: Three decades and counting

2019 ◽  
Author(s):  
Jay Luo
Keyword(s):  
Poverty Alleviation ◽  
Poverty Reduction ◽  
Rural China ◽  
Safety Nets ◽  
Rural Governance ◽  
Negative Impacts ◽  
Development Outcomes ◽  
Social Safety Nets ◽  
The Impact ◽  
The Village

Poverty alleviation is a hallmark of post-revolution Chinese policymaking. Since 1978, the Communist Party of China (CPC) has implemented successive waves of poverty alleviation policies whose effects have become the focus of an ever-increasing body of academic literature. This paper reviews this diverse but limited literature that evaluates the impact of the CPC’s poverty reduction programs through four major channels, namely fiscal investment programs, social safety nets, rural governance on the village-, county- and provincial level, and the relocation of rural populations from destitute regions. This paper aims to synthesize results and evaluate whether and how the abovementioned poverty alleviation programs have had distinct positive or negative impacts on regional development outcomes. Furthermore, I highlight contradictions in empirical findings to motivate the discussion about contextual importance when designing and implementing future poverty alleviation programs. Finally, I suggest that an exhaustive and critical appraisal of the empirical strategies used in this literature would further the development and application of more accurate and informative methodologies.

scholarly journals Notes on Bhutan’s Gross National Happiness and its Measurement

2016 ◽  
Vol 27 ◽  
pp. 1-15
Author(s):  
Eduardo Monaco
Keyword(s):  
International Development ◽  
Poverty Reduction ◽  
Good Governance ◽  
Early Stage ◽  
Multidimensional Poverty ◽  
Holistic Approach ◽  
Environmental Preservation ◽  
Gross National Happiness ◽  
Stage Of Development ◽  
National Happiness

Bhutan, a Himalayan landlocked country of just about 750,000 inhabitants, has since the 1980s adopted a unique, holistic approach to development governance commonly referred to as 'Gross National Happiness' (GNH), which aims at achieving equitable socio-economic progress in harmony with other fundamental 'pillars' such as environmental preservation, good governance, and protection of the local cultural identity. The strategy - inspired, above all, by solid Tantric Buddhist belief - significantly differentiates itself from the mainstream GDP-driven, output-maximizing paradigms by maintaining that truly sustainable development can only originate from acknowledging the equal dignity and crucial interdependence of various dimensions of both human and natural life. This paper, drafted in the month of December 2015, briefly analyzes GNH policy’s key tenets and achievements – more conspicuous in regards to democratic governance and environment than in terms of inclusive, multidimensional poverty reduction, as well as its recently devised measuring tool, the GNH Index, and the results of its latest surveys. Factors like the peculiar Buddhist culture that informs it, the relatively simple economic infrastructure at this early stage of development, as well as the limited size of the politically active, urbanized population, all make GNH per se a distinctively Bhutanese phenomenon. Nevertheless, the fundamental paradigm shift that GNH advocates has already resonated beyond the countries’ borders, reinforcing a growing trend across international development actors towards a more comprehensive, qualitative definition and measurement of societal development.

scholarly journals CREDIT CO-OPERATIVES AND THEIR ROLE IN POVERTY REDUCTION IN RURAL CHINA

2017 ◽  
Vol 1 (2) ◽  
pp. 97
Author(s):  
Li Zhao
Keyword(s):  
Financial Institutions ◽  
Financial Services ◽  
Poverty Reduction ◽  
Social Connectedness ◽  
Rural China ◽  
Modern China ◽  
Primary Data ◽  
Field Investigations ◽  
Local Embeddedness ◽  
New Type

Financial constraints may contribute to poverty traps. In the underdeveloped capital markets of rural China, many poor farmers in disadvantaged areas are financially constrained and denied access to formal financial services. A few attempts have been made to reform rural credit co-operatives but with limited impact. Recently, the development of rural mutual co-operatives, as one of new-type rural financial institutions, has gained increasing attention among scholars. While scholars predict that it would be difficult for true co-operative financial institutions to establish themselves and develop in China, this study discusses the conditions for the development of rural mutual co-operatives and identifies their institutional advantages in poverty outreach and financial sustainability. The analysis of the study is largely based on the primary data collected from field investigations and case studies. The study reveals that these organizations have played a significant role in promoting financial inclusion and become a sustainable driver for poverty reduction. This observation is in contrast to the widely-believed prediction that it is hardly probable for true credit co-operatives to establish themselves in modern China due to excessive government intervention and China’s peculiar political culture and social context. The findings also suggest two conditions be necessary to achieve their potential, namely, the co-operation between credit co-operatives and agricultural co-operatives, and local embeddedness with good social connectedness.

Multiple Dimensions of Impoverishment in Iran

2020 ◽  
pp. 26
Author(s):  
Hosnieh Mahoozi ◽  
Jeurgen Meckl
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Poverty Reduction ◽  
Multidimensional Poverty ◽  
Well Being ◽  
Capital City ◽  
Income Poverty ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
Multiple Dimensions

Concerning the demands of Sen’s (1984) Capability Approach to the assessment of human well-being, we estimate multidimensional poverty and compare the results with traditional measures of income poverty in Iran. We detect poverty in urban and rural Iran over 1999-2007, a period with relatively high GDP growth. The results reveal that the pace of income poverty reduction is much faster than the pace of multidimensional poverty alleviation. The pace of poverty reduction is much slower in rural areas than in urban areas and the capital city, Tehran. Hence, inequality between rural and urban areas increased over the time. We also show how policymakers may benefit from applying the multidimensional approach in targeting the subgroups by the most deprived aspects.

Tourism, Institutions, and Poverty Alleviation: Empirical Evidence from China

2020 ◽  
pp. 004728752094779
Author(s):  
Lei Zhao
Keyword(s):  
Method Of Moments ◽  
Poverty Reduction ◽  
Rural China ◽  
Generalized Method Of Moments ◽  
Tourism Development ◽  
Institutional Setting ◽  
Absolute Poverty ◽  
Negative Effects ◽  
Long Run

While tourism can be advocated as a means for poverty reduction, the inconclusive issue of poverty in developing countries has harbored doubts about the efficacy of tourism development in its reduction. This study empirically examines whether institutions influence how tourism development affects poverty. We apply the system generalized method of moments technique to estimate our empirical model. By using panel data for 29 Chinese provinces over the period 1999 to 2014, we empirically reveal that tourism and institutions have significant and negative effects not only on the absolute poverty but also on the relative poverty as measured by the Foster–Greer–Thorbecke (FGT) poverty indices in both the short and long run albeit at varying magnitudes of effect and levels of significance. In addition, institutional quality positively moderates the tourism–poverty nexus, thereby suggesting that the pro-poor effect of tourism development decreases as the quality of institutions improves in the thin institutional setting of rural China.

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