Two-Way Causality between Social Capital and Poverty in Rural Indonesia

Nasution, Ahmadriswan; Rustiadi, Ernan; Juanda, Bambang; Hadi, Setia

doi:10.5539/ass.v11n13p139

Cited by 9 publications

(8 citation statements)

References 33 publications

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“…This implies that more labour contribution will further enhance the livelihood status of the household as well as improved social meeting attendance. This result is in line with the findings of Tenzin et al [10] and Nasution et al [16], where participation in social capital lowers poverty. Cash contribution and heterogeneity index influence poverty status negatively.…”

Section: Factors Affecting Household Poverty Among the Fish Farmerssupporting

confidence: 92%

“…Reason for this is not far-fetched as increased household size will increase demand on income which means higher number of household members will share the income therefore reducing individual problems. This findings is consistent with [16,10,17] and [18]. Numbers of years in fishing activities affect household poverty adversely.…”

Section: Factors Affecting Household Poverty Among the Fish Farmerssupporting

confidence: 91%

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Effect of Social Capital on Poverty Alleviation among Fish Farming Households in Oyo State, Nigeria

Adepoju

2019

AJAEES

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This study investigates the effect of social capital investment on poverty reduction among fish farming households of Oyo State, Nigeria. A multistage sampling technique was adopted in the selection of the respondents. Primary data were collected using a structured questionnaire from a representative sample size of 359 households in four local government areas representing the four agricultural zones, namely Ibadan-ibarapa, Oyo, Ogbomoso and Saki in Oyo State, Nigeria. The study used a multinomial logit regression model to examine the effect of social capital on household poverty. The estimates of the regression model indicated that, in addition to the socio-economic characteristics of some households, social capital endowments have significant effect on the probability of a household being poor. The study concluded that, among other factors, social capital is very important in reducing household’s poverty. It was therefore recommended that stakeholders should be encouraged to invest in households’ social capital to accelerate poverty reduction among the fish farmers in the study area.

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Section: Factors Affecting Household Poverty Among the Fish Farmerssupporting

confidence: 92%

Section: Factors Affecting Household Poverty Among the Fish Farmerssupporting

confidence: 91%

Effect of Social Capital on Poverty Alleviation among Fish Farming Households in Oyo State, Nigeria

Adepoju

2019

AJAEES

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“…This result clearly shows that the African culture of polygamous family subjects them to poverty and hunger. This result is in line with the work done by Tenzin et al (2013) and Nasution et al (2015).…”

Section: Effect Of Social Capital On Poverty Alleviation Among Cocoa-...supporting

confidence: 91%

Social Capital Networks (Scns) Reducing the Poverty on Cocoa Producing Households: Evidence From Osun and Ondo States of Southwestern Nigeria

Kehinde

Ogundeji²

2022

Trop Subtrop Agroecosyst

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Background. Poverty is a state or condition in which a person or community lacks the capital required to meet their needs. Whereas, social capital has been described as a vital asset for poverty alleviation since it can provide access to that which is lacking; capital. This study suggests evidences that the poor farmers could benefit more from social capital. Objective. This study was conducted to assess the impact of social capital on poverty alleviation among cocoa producing households in Southwestern, Nigeria. Methodology. A multi-stage sampling procedure was employed to select 300 cocoa-producing households for the study. Data were analyzed using social capital indices, FGT index, the Probit model and two-stage least square model. Results. The results revealed that cash contribution (0.478), labour contribution (0.556), decision-making (0.882), meeting attendance (0.920), heterogeneity (0.659) and density of membership (0.661) are the major dimensions of social capital available to cocoa-producing households. The results of the Probit model revealed that age of household head, gender, household size, years of experience, farm income, and farm size were the main determining factors of participating in SCNs. The Foster, Greer and Thorbecke index revealed that 65% of the sample households are poor. Out of the poor households, 42% are moderately poor and 23% are core poor. The results further revealed that factors including age, square of age, household size, years of education, farm income, farm size, cash contribution, labour contribution, decision making, meeting attendance, aggregate social capital and instrumented social capital significantly influenced cocoa-producing households’ expenditure. Implications. The paper adds evidence for a better understanding of nexus between social capital networks and poverty alleviations. Conclusions. The study concluded that social capital alleviates poverty among cocoa-producing households. This means that policy strategy aimed toward alleviating poverty among cocoa-producing households must consider their social capital.

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“…Most of poor communities are located adjacent to forests and in rural areas that have limited access to various resources (Syaf et al 2013;Manwa and Manwa 2014;Nasution et al 2015;Corral et al 2017). These limitations can have consequences to the community on the way they struggle to fulfill livelihood.…”

Section: Introductionmentioning

confidence: 99%

Poverty distribution of different types of forest-related communities: Case study in Wan Abdul Rachman Forest Park and mangrove forest in Sidodadi Village, Lampung Province, Indonesia

et al. 2019

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Abstract. Qurniati R, Darmawan A, Utama RB, Inoue M. 2019. Poverty distribution of different types of forest-related communities: Case study in Wan Abdul Rachman Forest Park and mangrove forest in Sidodadi Village, Lampung Province, Indonesia. Biodiversitas 20: 3153-3163. Forest has important role in community because it can influence social characteristics as well as the quality of life of the household. In the tropics, many people living around forest are in poor conditions. Sidodadi Village of Pesawaran District, Lampung Province bordered to Wan Abdul Rachman (WAR) Forest Park in the upland and mangrove forest in the coastal area represents a good case study of communities living adjacent to forests with different ecosystem type. The research objective was to identify and analyze the characteristics and the level of household poverty of community living around two forested areas (i.e. upland forest in WAR Forest Park versus mangrove forest) in Sidodadi Village. In this village, households were interviewed by randomly selecting 215 respondents. The poverty was analyzed using five indicators, i.e. the economic characteristics, material wealth, health, infrastructure and services, and knowledge. The study found that base on the aggregated five poverty indicators there were no households categorized as poor. However, analyses in each indicator had diverse results. Based on the indicators of knowledge and economic characteristics, we found that most respondents were classified as poor while based on three other indicators there were classified as rich. The poor knowledge level was dominantly in older people who have low formal and informal education, while poverty in terms of economic characteristics due to limited opportunity to have better livelihood. Results also indicate that the poor households were located near mangrove forests while those classified as rich were located near upland forest in WAR Forest Park. The rich households had better opportunities to earn income from limited uses of forest in the upland area, yet similar opportunities were not obtained from mangrove forests. Sustainable use of mangrove forests should be considered to support the livelihood option of the surrounding community to enhance their wealth.

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Two-Way Causality between Social Capital and Poverty in Rural Indonesia

Cited by 9 publications

References 33 publications

Effect of Social Capital on Poverty Alleviation among Fish Farming Households in Oyo State, Nigeria

Effect of Social Capital on Poverty Alleviation among Fish Farming Households in Oyo State, Nigeria

Social Capital Networks (Scns) Reducing the Poverty on Cocoa Producing Households: Evidence From Osun and Ondo States of Southwestern Nigeria

Poverty distribution of different types of forest-related communities: Case study in Wan Abdul Rachman Forest Park and mangrove forest in Sidodadi Village, Lampung Province, Indonesia

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