Level Of Multidimensional Poverty Research Articles

Exploring the association between multidimensional poverty and antenatal care utilization in two provinces of Papua New Guinea: a cross-sectional study

BackgroundAlthough global poverty rates have declined in the last decade, the fall in the Asia-Pacific region has been slow relative to the rest of the world. Poverty continues to be a major cause of poor maternal and newborn health, and a barrier to accessing timely antenatal care. Papua New Guinea has one of the highest poverty rates and some of the worst maternal and neonatal outcomes in the Asia-Pacific region. Few studies have investigated equity in antenatal care utilization in this setting. We explored equity in antenatal care utilization and the determinants of service utilization, which include a measure of multidimensional poverty in Papua New Guinea.MethodsTo explore the association between poverty and antenatal care utilization this study uses data from a ten-cluster randomized controlled trial. The poverty headcount, average poverty gap, adjusted poverty headcount, and multidimensional poverty index of antenatal clinic attendees are derived using the Alkire-Foster method. The distribution of service utilization is explored using the multidimensional poverty index, followed by multivariate regression analyses to evaluate the determinants of service utilization.ResultsThe poverty headcount was 61.06%, the average poverty gap 47.71%, the adjusted poverty headcount 29.13% and the average multidimensional poverty index was 0.363. Further, antenatal care utilization was regressive with respect to poverty. The regression analyses indicated that older women; being a widow (small number of widows (n = 3) asserts interpreting result with caution); or formally employed increase the likelihood of accessing antenatal care more often in pregnancy. Travelling for over an hour to receive care was negatively associated with utilization.ConclusionThis study indicated high levels of multidimensional poverty in PNG and that ANC utilization was regressive; highlighting the need to encourage pregnant women, especially those who are economically more vulnerable to visit clinics regularly throughout pregnancy.

Does the Small-Scale Trade in Border Areas Contribute to Poverty Reduction?

With the vigorous development of strategies such as the "Belt and Road" Initiative, the Border Areas and Minorities Development Program, and the Western Development Program, China's border trade has flourished. Under the strong leadership of the Communist Party of China and the People's Government, China's poverty alleviation efforts have achieved remarkable results that have attracted worldwide attention, successfully eradicating the absolute poverty that has plagued the Chinese nation for many years. In this context, to investigate the impact of border trade on multidimensional poverty in border areas, this paper constructs a multidimensional poverty index from five dimensions: economy, healthcare, employment, education, and living conditions. A fixed-effects model is employed to empirically examine the impact of border trade on multidimensional poverty in border areas and its underlying mechanisms. The research findings are as follows: (1) Border trade significantly reduces the level of multidimensional poverty in border areas. This conclusion remains valid after conducting a series of robustness tests and using lagged variables as instrumental variables to address endogeneity issues. (2) Mechanism analysis reveals that border trade primarily improves multidimensional poverty through employment promotion effects, infrastructure effects, and fiscal expenditure effects. (3) Heterogeneity analysis shows that the poverty reduction effect of border trade is more pronounced in areas with lower population densities, lower urbanization rates, and in the southwestern and northwestern regions. This paper provides a new perspective for building common prosperity in the new era and offers academic support and policy guidance for further promoting border trade and strengthening friendly regional exchanges.

Multidimensional poverty among farming households in Katsina state, northwestern Nigeria

This study aimed to determine the multidimensional poverty status of farming households in Katsina state, northwestern Nigeria. A multi-stage sampling technique was used to elicit primary data from 480 farming households. Descriptive statistics and the multidimensional poverty assessment tool (MPAT-14) were used to analyze the data. The socio-demographic analysis showed that the mean age of respondents was 43 years while the average household size was 9 persons. The majority (86%) of respondents were male, and they were mostly married (85%) and educated (51.3%). The MPAT results showed that farmers in the study area experienced a high level of deprivation according to the majority of the fundamental human needs indicators, such as food and nutrition security (27.7%), domestic water supply (28.9%), health care (22.9), sanitation and hygiene (28.1%), housing, clothing, and energy (33.9%), and education (27.7%). The results indicate that the majority (60.6%) of the households are living in multidimensional poverty and that there is a higher level of multidimensional poverty among farming households. The government should upscale appropriate healthcare delivery systems to improve the healthcare services rendered.

Unveiling the Complex Facets of Poverty: Unidimensional and Multidimensional Insights from Rural Areas of Suri Sadar Sub-Division, Birbhum District, Eastern India

Poverty, particularly in developing regions, is a complex, multifaceted issue deeply embedded in various interrelated factors. It extends beyond mere financial insufficiency, encompassing limited access to essential services such as healthcare, education, and overall living standards. This study examines both the unidimensional and multidimensional aspects of rural poverty in Suri Sadar Sub-Division, located in Eastern India. For the unidimensional aspect, this study employs the poverty headcount ratio and the Poverty Gap Index to gauge the incidence and intensity of poverty. In contrast, the multidimensional approach utilized three dimensions and 12 indicators to assess the incidence, severity, and multidimensional poverty index utilizing the Alkire–Foster (AF) methodology. The unidimensional analysis, focusing on income and consumption, highlights significant economic disparities, particularly in the western Community Development Blocks, namely, Khoyrasole, Md. Bazar, and Rajnagar. The highest levels of multidimensional poverty are generally consistent with the unidimensional findings, particularly in the western blocks. These results underscore the need for comprehensive poverty reduction strategies that address both economic and broader aspects of poverty. In areas like the western blocks, where both income-based and multidimensional poverty rates are high, strategies should integrate economic development, improved healthcare access, enhanced educational quality, and living standards improvement. Therefore, this study serves not only as an academic endeavor but also as a vital tool for informed policymaking in poverty alleviation, providing planners, administrative officials, and researchers with essential insights to develop effective, localized, and sustainable poverty reduction strategies.

Multidimensional Poverty Among Women in the Ibadan South West Local Government Area, Oyo State, Nigeria

ABSTRACT: Poverty remains a serious problem in Nigeria; women are among those mostly affected and are often deprived in many ways. This paper uses the multidimensional approach to examine poverty levels among women in Ibadan South West Local Government Area, Oyo State. Primary data was obtained from a sample of 393 women across the population density areas on socio-economic characteristics and poverty indicators (health, education and standard of living). The Alkire-Foster multidimensional approach was used to estimate the multidimensional poverty index (MPI) for the sampled women. The weights assigned to these poverty dimensions were generated using the multiple correspondence analysis. The MPI for each woman were categorized as abject poor (deprived in at least two dimensions), moderate poor (deprived in one dimension) and non-poor (not deprived in any dimension). The mean age of the women was 30.8±6.7 years. One-third of the respondents were mostly artisans (30.0%) and traders (26.5%), and 52.2% had completed secondary education. About 23.0% of women were deprived in education, 61.0% in health and 70.4% in standard of living. Based on location, the study indicated that the women in the medium and high density areas are mostly deprived in the different dimensions of poverty. When the poverty cut off K= 1, poverty incidence is 94% and 51.7% of the women were multidimensional poor as against 28% poverty incidence and 19.6% poor women when k=3 using the Alkire-Foster Multidimensional methodology. This implies that when women are deprived in at least one dimension; 51.7% are multidimensional poor. More than half of the respondents (51.0%) were categorized as moderately poor, 26.0% were abject poor while 23.2% were non-poor. This study revealed high poverty levels among women in Ibadan South West Local Government Area. Deprivation in standard of living and health in the three areas could be improved upon through the concerted effort of the government with appropriate ministries by initiating more productive and empowerment programs to improve their purchasing power and disseminating educative information that will improve their nutritional status through health talks to reduce the level of multidimensional poverty in urban locations respectively.

An Econometric Approach to Design a Multidimensional Poverty Measure for Rural Himalayan Areas

This study is an effort to design a multidimensional poverty measure for rural Himalayan areas. It investigated the level of multidimensional poverty and the underlying causes. The study aimed to identify the major causes of multiple deprivations using indicators of Global MPI. Then, an econometric technique was used to identify the dominant causes for designing a robust area-specific Multidimensional Poverty Index to offer critical policy insights. The findings revealed that 13 per cent of the sampled households were multi-dimensionally poor. The prominent causes were income-related, infrastructure and facilities-related, household/domestic problems, health problems, education, awareness and expense problems. However, income-related problems had dominantly affected households in most of the indicators. The study investigated the antecedents using NLPCA and found that only six dimensions can be retained using these causes. Based on dominant grounds, it is recommended to use these retained indicators/dimensions for designing MPI to address the actual causes of deprivation for sustained poverty alleviation.

Towards the global zero poverty agenda: examining the multidimensional poverty situation in South Africa

The vulnerability of smallholder farmers to multidimensional poverty in the Eastern Cape province of South Africa was assessed, using the Alkire Foster multidimensional poverty index developed by the Oxford Poverty and Human Development Initiative and aligned to the Sustainable Development Goals (SDGs). The findings show that the deprivation indicator ranges from 5 to 90%, revealing that access to a flush toilet facility is an imperative factor towards the households’ standard of living (SDG11). Also, 66% and 55% were deprived of food security (SDG2) and education (SDG4), respectively. The probit analysis result revealed that gender, remittances, crop diversification (CDV), education, seasonal farming and market outlets significantly influence the multidimensional poverty and vulnerability poverty of rural households in the Eastern Cape province of South Africa. For instance, factors such as household size showed that an additional unit increase in the size of a household would result in a 5% increase in the chances of the household’s vulnerability to multidimensional poverty. Likewise the extension contact, a unit increase resulted in 49% in the households’ vulnerability to multidimensional poverty. The study suggests that policies related to improving education, increasing CDV, promoting farmer groups and the effectiveness of extension contact, and increasing market stability for sales of farm products could contribute to reducing the multidimensional poverty level and the vulnerability of households.

Multidimensional poverty among persons with disabilities in Colombia: Inequalities in the distribution of deprivations at the municipality level.

According to the national population Census of Colombia, 4.1 per cent of the population lives with a disability. Although information is available on the number of persons with disabilities in the country, little information exists on their levels of multidimensional poverty and deprivation, especially at the province of local level. Aiming to contribute to the analysis of the levels of poverty of persons with disabilities living at the municipal/province level, this study computes and analyses the levels of multidimensional poverty in households with and without members with disabilities in the 1.101 municipalities of Colombia. Using the 2018 national population census, we computed the percentage of people living with disabilities in each of the municipalities of the country, then we computed their levels of poverty and deprivation and analysed the difference between households with and without members with disabilities. We also analysed the availability of teachers and schools providing services for children living with disabilities and deprivations in terms of school attendance. The results reveal that households with members with disabilities are poorer than households without members with disabilities, These households present higher deprivations according to most indicators, and the intensity of their poverty is higher. In addition, households with members with disabilities usually present higher levels of deprivation in school attendance and live in municipalities where there is no provision of inclusive schools. These results highlight the importance of implementing specific policies designed to reduce the levels of poverty of persons with disabilities and their families and to guarantee their access to basic opportunities and services.

Mining tailings dumps and socio-territorial inequalities in Chile: an exploratory study

ABSTRACT The aim of this study is to territorially link the distribution of mining tailings and multi-dimensional poverty at a local level. For this purpose, a database was constructed with governmental information regarding municipalities that present tailings, and subsequently, identified their levels of multidimensional poverty. The results show: (i) the presence of tailings throughout the national territory, although their greater concentration is found in the country's center-north; (ii) that the majority of tailings at the national level is located in socially and economically disadvantaged municipalities; and (iii) that only 4 municipalities concentrate 321 of the 757 tailings, which represent 42,4% of the national total. This information allows us to conclude that the task of surveying and remediating mining tailings is a national governance challenge and that in order to address it, the context and the social injustice it causes must be considered.

Moderate Multidimensional Poverty Index: Paving the Way Out of Poverty

Eradicating poverty in all its forms, everywhere, requires indicators that measure sustainable pathways out of poverty, and not only the absence of acute poverty. This paper introduces a trial Moderate Multidimensional Poverty Index (MMPI) that reflects moderate rather than acute levels of multidimensional poverty. The MMPI adjusts nine of the 10 indicators of the global Multidimensional Poverty Index (global MPI) to reflect moderate poverty and create a meaningful superset of the acutely poor population. Although data-constrained, the trial MMPI outlines a methodology and potential indicators for a measure that would: (i) be meaningful and comparable across populations at higher levels of development; (ii) align with higher standards defined in Agenda 2030; and (iii) provide insight into aspects of intrahousehold deprivation. The MMPI is illustrated empirically using nationally representative household surveys from Bangladesh, Guatemala, Iraq, Serbia, Tanzania and Thailand. The results confirm the added value of having three nested measures of destitution, acute, and moderate multidimensional poverty. The MMPI also complements monetary measures with informative differences in poverty levels observed. The results demonstrate that a Moderate MPI is a desirable global poverty index, which is likely to illuminate thus far hidden aspects in of multidimensional poverty, such as intrahousehold deprivations in education. Challenges remain regarding data availability, and further study across additional countries is required before the MMPI structure can be finalised.

Socioeconomic disparities associated with mortality in patients hospitalized for COVID-19 in Colombia.

Socioeconomic disparities play an important role in the development of severe clinical outcomes including deaths from COVID-19. However, the current scientific evidence in regard the association between measures of poverty and COVID-19 mortality in hospitalized patients is scant. The objective of this study was to investigate whether there is an association between the Colombian Multidimensional Poverty Index (CMPI) and mortality from COVID-19 in hospitalized patients in Colombia from May 1, 2020 to August 15, 2021. This was an ecological study using individual data on hospitalized patients from the National Institute of Health of Colombia (INS), and municipal level data from the High-Cost Account and the National Administrative Department of Statistics. The main outcome variable was mortality due to COVID-19. The main exposure variable was the CMPI that ranges from 0 to 100% and was categorized into five levels: (i) level I (0%-20%), (ii) level II (20%-40%), (iii) level III (40%-60%), (iv) level IV (60%-80%); and (v) level V (80%-100%). The higher the level, the higher the level of multidimensional poverty. A Bayesian multilevel logistic regression model was applied to estimate Odds Ratio (OR) and their corresponding 95% credible intervals (CI). In addition, a subgroup analysis was performed according to the epidemiological COVID-19 waves using the same model. The odds for dying from COVID-19 was 1.46 (95% CI 1.4-1.53) for level II, 1.41 (95% CI 1.33-1.49) for level III and 1.70 (95% CI 1.54-1.89) for level IV hospitalized COVID-19 patients compared with the least poor patients (CMPI level I). In addition, age and male sex also increased mortality in COVID-19 hospitalized patients. Patients between 26 and 50 years-of-age had 4.17-fold increased odds (95% CI 4.07-4.3) of death compared with younger than 26-years-old patients. The corresponding for 51-75 years-old patients and those above the age of 75 years were 9.17 (95% CI 8.93-9.41) and 17.1 (95% CI 16.63-17.56), respectively. Finally, the odds of death from COVID-19 in hospitalized patients gradually decreased as the pandemic evolved. In conclusion, socioeconomic disparities were a major risk factor for mortality in patients hospitalized for COVID-19 in Colombia.

Spatial coupling relationship between multidimensional poverty and the risk of geological disaster

ABSTRACT Objective: Studying the coupling relationship between multidimensional poverty and geological disaster risk is a beneficial exploration for the collaborative promotion of disaster and poverty reduction. Methods: Taking Sichuan province as the research area, this study adopted the multidimensional poverty index and the information content model to quantitatively evaluate the multidimensional poverty and geological disaster risk in 2019, and uses the coupling coordination degree model to explore their coupling relationship and coordinated development. Results: The development level of high-altitude areas and remote mountainous areas was lower than that of plain and hilly areas, and the spatial difference of multidimensional poverty is obvious. The risk of geological disaster is relatively high overall in the alpine valley regions of Western, Southern and Northern Sichuan. The coupling level of multidimensional poverty and geological disasters is comparatively prominent. The overall coordination degree is relatively high. There existed obvious gathering areas in places of disorder of both poverty and disaster, disaster risk lag, poverty lag and synchronous development. In contrast, the coordinated-disaster risk and the poverty lags were relatively scattered. The unbalanced development between eastern and western Sichuan is comparatively prominent. More efforts will be paid to pursue poverty and disaster reduction in a highly collaborative way. Conclusion: This study gives data support for the long-term mechanism established in Sichuan province for forestalling and defusing the risk of returning to poverty caused by disease so that the international community can learn from China’s experience through observation and collaboration in terms of poverty and disaster reduction.

Multidimensional poverty of persons with disabilities in China: An analysis of poverty reduction effect of employment services.

Disability is a global public health problem, and poverty due to illness and disability has always been a major problem and challenge for global poverty governance. In order to eradicate poverty, China has carried out a series of welfare reforms and employment interventions for people with disabilities. The purpose of this study is to examine the levels of multidimensional poverty of persons with disabilities aged 16-59 in China and the poverty reduction effect of employment services. The Alkire-Foster (AF) method is applied to measure and decompose the multidimensional poverty index (MPI) of people with disabilities in this study. In order to make the results more robust, ordinary least squares (OLS) regression and the combination of propensity score matching and difference-in-differences (PSM-DID) are used to study the effect of employment services on multidimensional poverty of the disabled. The results show that among persons with disabilities aged 16-59, about 90% are deprived in at least one dimension, and about 30% are in a state of severe multidimensional poverty until 2019. The contributions of deprivation in the dimensions of education and social participation are remarkably higher than dimensions of economy, health and insurance. In addition, employment services have a significant improvement effect on multidimensional poverty, which is reflected not only in the economic dimension, but also in the dimensions of education, insurance and social participation. People with disabilities are generally in multidimensional poverty in China, and their abilities in learning and social integration are seriously inadequate. Employment services have played a great role in improving poverty, but the improvement has been different in different dimensions and different disability categories. These findings provide important evidence for recognizing multidimensional poverty of persons with disabilities and the poverty reduction effect of employment services, which will help to formulate more reasonable public policies to eradicate poverty.

The Effects of the Transmigration Programme on Poverty Reduction in Indonesia’s Gorontalo Province: A Multidimensional Approach

The transmigration program in Gorontalo Province plays an important role in poverty reduction. The districts of Gorontalo and Boalemo, as a part of Gorontalo Province, were purposefully selected as research locations. A total of 240 respondents of transmigrant and local households were interviewed using a questionnaire containing a list of questions with a 5-Likert scale. The objectives of this research are: (1) to measure the multidimensional poverty level of transmigrant and local households, (2) to determine the impact of the transmigration program on poverty reduction and (3) to identify the factors that influence poverty status of transmigrant and local households. The results show that the poverty level of transmigrant households tends to be lower than local households. The longer the placement of transmigration, the more likely it is to reduce regional poverty levels. The health dimension has a high contribution to the cause of poverty of transmigrants, while the education dimension contributes to the highest cause of poverty of local households. The results of the analysis also show that farmers who are more educated, participate in skills training and have a side business have more opportunity to reduce poverty. The study confirms that the transmigration program has a significant impact on poverty reduction in the region.

How Do Cooperatives Alleviate Poverty of Farmers? Evidence from Rural China

Farmers’ cooperatives play an important role in enabling small farmers to integrate into modern agriculture. Based on the survey data of 7200 farmers in four provinces of China, this paper uses the multi-dimensional poverty measurement method and the instrumental variable method to reveal the transmission mechanism and multi-dimensional poverty reduction effect of farmers’ cooperatives in deep poverty-stricken areas in China to realize joint agricultural empowerment through the supply chain. The results show that farmers’ cooperatives play an important role in enhancing small farmers’ financing, technology application, market sales, and rights decision-making. Every increase in the degree of interest connection between the two will help farmers reduce the multi-dimensional poverty level by 12.3%, and the mitigation effects on material poverty, ability poverty, and rights poverty are between 10% and 13%. Compared with agricultural cooperatives with weak organizational service capacity, cooperatives with high organizational service capacity have a more significant multi-dimensional poverty reduction effect on farmers, which leads to farmers obtaining financing and improving their ability and income. In addition, the difference in benefit coupling between agricultural cooperatives and farmers of different leading bodies also results in the heterogeneity of multi-dimensional poverty alleviation effects of farmers. To a certain extent, the supply chain is affected by the risk endowment of members, the supply chain’s poverty alleviation performance is affected by members’ supply chain’s poverty alleviation performance, and there is a certain risk transfer and “distribution failure”. Therefore, optimizing the benefit coupling structure and risk sharing mechanism between farmers’ cooperatives and farmers has become an important way to break the pattern of “the strong are always strong” and “distribution failure” for supply chain members and farmers.

Role of Financial Sector Development in the Nexus Between Inclusive Growth and Poverty: A Regional Comparative Analysis from Sub-Saharan Africa

The problem of poverty in the developing countries and what makes Sub-Saharan Africa (SSA) a region with the “highest number of poor people” in the world remains a topical issue that requires serious research attention. Following extant studies, in which the mediating role of financial sector development has not been taken into consideration in their finance- growth and poverty nexus, this study deviates by using two measures of poverty level: absolute and multidimensional poverty level; and at the same time provides comparative analyses at SSA sub-regional communities. Our findings reveal that the effects of inclusive growth on poverty reduction (both absolute and multidimensional level), for most sub-regions in SSA except Central African countries, are positive. While the mediating role of financial sector development appeared to be slightly different with mixed results. In West and Central African countries, the mediating role of the financial sector, though very weak, complements theinclusive growth effects on poverty reduction. On the contrary, financial sector development does not complement inclusive growth when it comes to poverty reduction in South African countries. Also, financial sector development does not complement the absolute poverty reduction effect of inclusive growth in the East African sub-region but the result is otherwise under multidimensional poverty reduction. Therefore, we recommend that financial sector development in most SSA countries should be improved upon through relevant monetary policy that promotes financial innovations, financial sector reforms, efficiency in financial inclusion across the region, and at the same time efforts should be geared toward directing some of the gains in financial sector development to inclusive growth-enhancing activities in southern African sub-region

The Counting Approach to Multidimensional Poverty: Evidence from South Asia

This study is about the inspection of the multidimensional poverty level and changes with time. Three sample countries (Pakistan, Bangladesh, and India) are taken from the South Asian Region to measure the depth of multidimensional poverty and inequality among the deprived individuals by using Alkire and Foster (2011) “Dimension Adjusted” or headcount ratio measure, Rippin (2010) Class of Ordinal Poverty measures, and Chakravarty and D’Ambrosio (2006) Class of Poverty measures. These all three approaches are counting-based approaches that are used on ordinal variables. The data of three main dimensions (Education, Health and Standard of Living) which is further divided into ten indicators is used for this study. The secondary data is used, which is extracted from Demographic Health Surveys (DHS). The last three surveys of DHS is used in this study, which was conducted in different period. Results of all three countries are compared and showed that India is having more poverty followed by Bangladesh and Pakistan. Change in inequality component among deprived individuals is recorded almost similar in all three sample countries. The finding of this study shows that all three techniques are providing insightful information about the depth and component inequality among deprived individuals.

Original

Land degradation has been a subject of academic research all across the world and still an important global issue in the twenty-first century. Land is an essential resource that is degraded day by day through some major factors like natural, anthropogenic and climatic factors. It is the principal basis for human well-being and livelihood as it provides us food, shelter, and multiple other ecosystem services. Land degradation has become a severe environmental problem. It is observed that a complex interplay between a variety of interrelated processes leads to what we defined as land degradation. It occurs in the form of deforestation, desertification, rapid changes in climatic conditions, waterlogging, salinization, erosion, and loss of organic matter components, etc. But we can save our land or manage our land from degradation by identifying sustainable land management practices and by adopting a precise methodology for assessing land degradation. The major objectives of this study are to address the problems of land degradation and to explore sustainable land management practices through different researches. This paper surveys the research works done on this theme and points out the key drivers of land degradation across the world, the social, economic and environmental costs of land degradation, the extent and severity of global land degradation and the appropriate methods for assessment of land degradation at global level and opportunities for improvement.

An econometric analysis of modernized cereal production in reducing multidimensional poverty in Uganda, 1975-2014

Purpose This study aims to develop an econometric analysis of how modern agriculture can be a fundamental instrument for reducing the levels of multidimensional poverty in Uganda. It demonstrates the importance of agriculture in reducing inequalities amongst the poor while focusing on the relationship between increasing productions from modern agricultural practices and the poverty level across the country. Design/methodology/approach The study explores Box–Jenkins approach to cereal production data with the use of econometric analysis as the main tool to determine the implications of modern agricultural practices in Uganda. Most poor people around the world are in marginalized rural environments, and agriculture provides for their livelihoods. This makes agricultural development crucial for reducing multidimensional poverty on a large scale and needs development within agriculture to be enhanced. Education, health and standard of living are the three dimensions considered from the weighted indicators, amounting to 30%, to be categorized poor in the three dimensions. Findings Modernization of agriculture is an ultimate solution to multidimensional poverty reduction in Uganda through employment generation and the effects of food prices. Shreds of evidence support the theories that agricultural incomes together with the actual wages increase with a general rise in the rural non-agricultural economy. Results depict a close correlation between national income and GDP per capita which is a very significant indication that more application of agricultural technology would lead to a sub sequential improvement of livelihoods engaged in agricultural practices. Originality/value Agriculture remains a vital sector that employs a greater portion of the population in Uganda’s economy. Major roles have been played by the sector in the economy including employment opportunities, rural household incomes, food supplies and a reduction in poverty from a multidimensional front. Exploring the behavior of poverty level using modern agriculture as an indicator and its relationship with the poverty level arising from improved agricultural practices could provide a meaningful display of variation in poverty across the regions at the country level.

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

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.