Globalization, internal policy reforms, and public agricultural research in Nigeria.

Okunmadewa, Foluso; Olayemi, J. K.; Bigman, David

doi:10.1079/9780851995755.0275

Cited by 6 publications

(4 citation statements)

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“…The participants are educated the more they decide to participate in the YSF program to acquire more knowledge on advanced technology and the modern farming practices and apply it in production and marketing to increase the yield and marketing channel along with increasing the value added of agricultural products through the product processing. This result is in line with the findings affirming that participants with farming experience are less likely to participate YSF program [10,[57][58][59][60] . This is probably due to the fact that experienced farmers were conservative in traditional farming with monocropping such as rice, cassava etc.…”

Section: 06supporting

confidence: 91%

Impact of Participation in Young Smart Farmer Program on Smallholder Farmers' Income: A Propensity Score Matching Analysis

Poungchompu,

Phuttachat

2023

Res. World Agric. Econ.

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The increase of elderly workers in the agricultural sector will decrease productivity using traditional agriculture production which causes the reduction of income. The Young Smart Farmer program is one of the solutions to solve the problem by developing new generation farmers’ agricultural abilities replacing elderly farmers and creating incentives for the new generation to turn to agricultural occupation. Thus, this paper principally assessed the impact of the participation of young farmers in the YSF program on farm income and the determinants of the YSF program factor of young farmer’s participation in the YSF program. The total number of samplings is 340 comprising 210 participants and 130 non-participants in the YSF program of the northeast area of Thailand. The data were analyzed using descriptive statistics and the propensity score matching approach to estimate the treatment effect of YSF participation on farm income among smallholder farmers. The results presented that the participants were younger with higher education, more experience and technology support, and had higher farm income compared to non-participants. The propensity scores matching results revealed a significant effect between farmer participation and farm income. The increase in farmers’ income from the participation of young smart farmers was estimated to be approximately 6758.59 $/year compared to non-participants of 3066.63 $/year. To encourage young people to participate more in the YSM program the government should provide more support that can stimulate the young farmers’ farming economic activities to improve their quality of living and be fully satisfied with their livelihood. Also, the government should encourage a strong network within the group which consequently increases knowledge sharing, technology, and agricultural activities from the production process to marketing.

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Section: 06supporting

confidence: 91%

Impact of Participation in Young Smart Farmer Program on Smallholder Farmers' Income: A Propensity Score Matching Analysis

Poungchompu,

Phuttachat

2023

Res. World Agric. Econ.

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“…Using general economic theory, most economists argue that economic welfare should include all relevant rents and surpluses, and consensus on this definition has long existed [40]. Some studies have succeeded in looking at the relationship between household welfare and social capital separately in Nigeria [41,42]. An empirical study stated the positive effect of social capital on household welfare and provided recommendations on what policies are needed to improve the living standards of Nigerians [43].…”

Section: Social Capital and Household Economic Welfarementioning

confidence: 99%

Social Capital and Household Economic Welfare: Do Entrepreneurship, Financial and Digital Literacy Matter?

2022

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Alleviating household economic fragility and poverty is a global challenge in achieving a nation’s well-being. This study aims to examine the impact of social capital and Indonesian household economic welfare, as well as understand the mediating role of entrepreneurial, digital, and financial literacy. To address this objective, a structural equation modeling partial least square was adopted to acquire comprehend findings. The survey data were gathered from households in East Java of Indonesia using a simple random sampling approach. The findings from this study highlight that social capital significantly influences several literacies of households in Indonesia, including digital literacy, financial literacy, and entrepreneurial literacy. However, this study failed to confirm the nexus between social capital and household economic welfare. In addition, financial literacy, digital literacy, and entrepreneurial literacy all play an important role in mediating the connection between social capital and the economic welfare of households.

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“…Despite its abundance of natural resources, the nation remains one of the world's 1 poorest. (Etim and Edet, 2014;Etim and Patrick, 2010) There have been many studies linking agricultural to poverty (Canagarajah et al,1995;FOS, 1999;Khan, 2001;Okunmadewa, 2001;Etim, 2007;Etim et al,2017;Etim et al,2019;Etim et al,2021) and the bulk of Nigeria's poor reside in rural regions and depend on farming for their existence (Etim and Udoh, 2013;Etim et al,2017;Etim and Ndaeyo, 2020). Poverty may be measured in a variety of ways, each with advantages and disadvantages, including by looking at things like family income, quality of living, spending, and access to essential services.…”

Section: Introductionmentioning

confidence: 99%

Robustness of the Poverty Measures: Evidence from Farm Households in Akwa Ibom State, Nigeria

Etim

Ukoha

2022

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The use of a plethora of poverty indexes is sometimes fraught with difficulties. The purpose of this research was to quantitatively assess poverty and to examine the robustness of the poverty metrics. Selecting representative farm homes required a multistage sample technique, which was implemented. A total of 150 rural homes were surveyed using questionnaires. Stochastic dominance and the weighted poverty measures of Foster, Greer and Thorbecke were used in this work to examine the weighted poverty measures' resilience and sensitivity to changes in the poverty line. According to the findings, as people become older and their families get larger, the likelihood, severity, and depth of poverty increases. An asymptotic sampling distribution was utilized to infer whether poverty was larger across a variety of hypothetical poverty lines by stochastic dominance analysis. First-order stochastic dominance was found, with the Cumulative Distribution Function (CDF) of households headed by people over 60 years old lying totally above the other distribution functions (CDFs). The CDF of single families was lower than the CDF of married households, according to the findings. At any poverty level, the CDF of families with more than 10 household members stochastically dominated those with fewer family members. Many households will be lifted out of poverty if poverty-reduction initiatives are targeted at those over 60 and those with big families.

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Globalization, internal policy reforms, and public agricultural research in Nigeria.

Cited by 6 publications

References 0 publications

Impact of Participation in Young Smart Farmer Program on Smallholder Farmers' Income: A Propensity Score Matching Analysis

Impact of Participation in Young Smart Farmer Program on Smallholder Farmers' Income: A Propensity Score Matching Analysis

Social Capital and Household Economic Welfare: Do Entrepreneurship, Financial and Digital Literacy Matter?

Robustness of the Poverty Measures: Evidence from Farm Households in Akwa Ibom State, Nigeria

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