Analyzing the status of multidimensional poverty of rural households by using sustainable livelihood framework: policy implications for economic growth
Abstract:Poverty is a multifaceted and location-based issue that cannot be quantified using monetary metrics alone. This study aims to evaluate the multidimensional poverty status of poor households in Ha Giang province, Vietnam, by using the DFID (Department for International Development) sustainable livelihood framework, an integrating technique for spatial recognition of multidimensional poverty, was developed and deployed to conduct a county-level poverty assessment in rural Vietnam. The multidimensional poverty st… Show more
“…These regions are the mountainous areas with the population of 11,300,000 persons consisting of 20 different ethnic groups [ 34 ]. Vietnam has had a high rate of national economic growth, however, the northern and western mountainous territories have had the slowest growth rates as well as the highest poverty rates in the country [ 35 , 36 ]. Fig.…”
“…These regions are the mountainous areas with the population of 11,300,000 persons consisting of 20 different ethnic groups [ 34 ]. Vietnam has had a high rate of national economic growth, however, the northern and western mountainous territories have had the slowest growth rates as well as the highest poverty rates in the country [ 35 , 36 ]. Fig.…”
“…The Sustainable Livelihoods Framework (SLA) is a research tool based on the British Development Agency, which has been widely used in livelihood vulnerability analysis [43], poverty [44]. At the same time, it can also consider the influencing factors and willingness of its behavior from the perspective of farmers, [45] which can intuitively reflect the problems and needs at the micro level.…”
Forest resources are an important material basis for ecological protection and economic devel-opment, and are responsible for the dual mission of guaranteeing national ecological safety and grain safety. Forest land is an important carrier of forest resources, and forest landowner is a direct component of forest land management. Forest landowners’ willingness to engage in forest man-agement affects whether the important value function of forest resources can be implemented. Are there differences in the willingness and behavior of forest management between ethnic minority foresters and ordinary foresters? How to stimulate the forest management willingness and behavior of forest farmers in ethnic minority areas?These questions will be about the realization of the value of forest resources. Through the analysis of 185 questionnaires in Yunnan Province, this paper clarifies the current situation of forest management of forest farmers in minority areas. Then, using the Sustainable Livelihoods Framework, we select three indicators including the socio-economic at-tributes of individual farmers, the cognition and experience of forest landowners, and policy guidance. And we use the binary logistic regression model to analyze the factors affecting the willingness of forester to participate in forest management. Through the above analysis, we find that: (1) Forest landowners' willingness to engage in forest management in minority regions is relatively high, at 71.98%. (2) Individual farmers’ socioeconomic attributes have the most significant degree of influence on willingness to engage in forest management, while forest landowners' cognitive and related experiences, policy guidance and other related variables influence willingness to engage in forest management at the macro level. (3) Literacy has a significant positive contribution to man-agement intentions, while forest land area, living standard, whether they are compensated by public welfare forest, and whether they participate in the project of returning farmland to forest and grass have a significant negative effect on management intentions. (4) There are significant differences between forest landowners' willingness to engage in forest management and the influencing factors between minority regions and non-minority regions. Finally, we suggest to improve the willingness to engage in forest management and forestry industry development in minority regions through innovative management methods, concentrated and continuous large-scale management, en-couraging capital investment and driving forest landowners to "nearby employment", optimizing the logging quota system and raising the compensation standard for public welfare forests. This study has important practical significance for promoting the realization of forest ecological products value, consolidating the achievement of poverty alleviation in forest areas and realizing rural re-vitalization in China.
“…Health is one of the important dimensions of human capital ( 22 ). A healthy population, in addition to being seen as the basis of national economic productivity and the assurance of economic growth, is an effective factor on labor supply and productivity by affecting the physical and mental conditions of employees.…”
IntroductionThe main purpose of the study is to examine the relationship between health expenditure indicators and economic growth in OECD countries.MethodsIn this context, health expenditures and economic indicators data of 21 OECD countries were analyzed by the Driscoll-Kraay standard error approach within the scope of panel data analysis. While Gross Domestic Product (GDP) and income per capita were used as dependent variables, the amount of out-of-pocket health spending, per capita health expenditure, the amount of public health expenditure, the ratio of drug expenditures to gross domestic product, the share of current health expenditures in GDP were used as independent variables.ResultsAccording to the results, in the model (Model 1) where real GDP level was used as the dependent variable, all health expenditure indicators were positively related to the economic growth. When the estimation results of Model 1 are examined, it is predicted that there will be an increase of 0.09% in GDP in case of a 1% increase in the share allocated to health services from GDP. In case of a 1% increase in the amount of out-of-pocket spending on healthcare, it is foreseen that there may be an increase of 0.04% in the real GDP. In the model (Model 2) where the per capita income variable is the dependent variable, it is seen that the increase in out- of-pocket health spending has a decreasing effect on the per capita income level, while the increase in public expenditures has an increasing effect on the per capita income level. From the findings of Model 2, it was found that if a 1% increase in the share of current health expenditures in GDP, there may be an increase of 0.06% in the amount of per capita income.DiscussionConcludingly, it is possible to say that that public resources allocated to health services play an important role in the economic growth.
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