scholarly journals Poverty Status and Factors Affecting Household Poverty in Southern Punjab: An Empirical Analysis

2020 ◽  
Vol 6 (2) ◽  
Author(s):  
Salyha Zulfiqar Ali Shah ◽  
Imran Sharif Chaudhry ◽  
Fatima Farooq
Keyword(s):  
Household Head ◽  
Policy Implications ◽  
Factors Affecting ◽  
Household Level ◽  
High Dependency ◽  
Poor Households ◽  
Level Data ◽  
Poverty Status ◽  
Large Household ◽  
Physical Assets

The strategies expected to mitigate poverty tend to identify factors that are closely related to poverty and that could have influenced the policy implications. A household level data was collected to examine the poverty status and factors affecting poverty in Southern Punjab. A logistic regression technique was employed for the present analyses. The findings show that age and education of the household head, own house, spouse participation, remittances, number of earners in the household and physical assets reduces the probability of being poor in Southern Punjab. However, large household size, occupation in the primary sector, high dependency ratio and mental disability are associated with an increased probability of being poor in Southern Punjab. Government should adopt effective policy measures to generate employment and encourage the attainment of education for the poor households for the mitigation of poverty in this region.

scholarly journals Factors Affecting the Socio-Economic Status of Households in Southern Punjab

2020 ◽  
Vol 3 (2) ◽  
pp. 315-331
Author(s):  
Salyha Zulfiqar Ali Shah ◽  
Imran Sharif Chaudhry ◽  
Fatima Farooq
Keyword(s):  
Economic Development ◽  
Economic Status ◽  
Household Head ◽  
External Shocks ◽  
Factors Affecting ◽  
Poor Countries ◽  
Socio Economic Status ◽  
Level Data ◽  
Physical Assets ◽  
The Government

The Households having low socio-economic status possess less resource in term of wealth and income to resist against any kind of external shocks. Apart from heath shocks (physical and mental disabilities) there are numerous other factors that force them to follow subsistence life style having low per capita income. A primary level data has been collected to examine the socio economic status of households in Southern Punjab for the year 2019.The findings show that household size, occupation, dependency ratio, mental disability and physical disability are negatively affecting economic development across the region. However, age, education of the household head, own house, spouse ‘s participation, remittances, number of earners in the household and value of physical assets are increasing economic development in Southern Punjab. Developing strategies, adequate planning and their timely implementation is very crucial for the government to pursue the process of economic growth and development of the poor countries like Pakistan.

How effective are coping mechanisms in securing livelihoods against climatic aberrations?

2015 ◽  
Vol 7 (3) ◽  
pp. 359-374 ◽  
Author(s):  
Unmesh Patnaik ◽  
K Narayanan
Keyword(s):  
Household Head ◽  
Probit Model ◽  
Coping Mechanisms ◽  
Content Type ◽  
Household Level ◽  
Consumption Behaviour ◽  
Ex Post ◽  
Poor Households ◽  
Level Data ◽  
The Impact

Purpose – This paper aims to examine the consumption behaviour and effectiveness of coping mechanisms adopted by households living in disaster-prone regions of rural India to cope with climatic aberrations and extremes using household-level data. In developing countries like India, poor households living in rural regions face risks to their livelihood due to climatic aberrations like deficient monsoon spells and rainfall gaps. Although these risks are covariate, the impact depends on location and the relative capacity of the people to cope with them. Design/methodology/approach – Using household-level data, this paper attempts to examine the consumption behaviour and effectiveness of coping mechanisms adopted by households living in these areas to hedge against the risks. A tobit and a multivariate probit model is used in the process. Findings – Based on the empirical analysis, and subject to the assumptions and the usual limitations of data, the findings suggest that households resort to consumption smoothening by liquidating their assets or decreasing consumption. Originality/value – They adopt a wide variety of ex-post risk-coping measures with limited success to overcome the shocks to their livelihood. Household-specific characteristics like age and education level of the household head are important in the choice of a particular coping option along with other key variables.

scholarly journals Usaha Ternak Domba sebagai Jalur Keluar dari Kemiskinan Buruh Tani di Perdesaan

2020 ◽  
Vol 7 (3) ◽  
pp. 189
Author(s):  
Sondi Kuswaryan ◽  
Cecep Firmansyah ◽  
Muhammad Hasan Hadiana
Keyword(s):  
Regression Model ◽  
Poverty Alleviation ◽  
Binary Logistic Regression ◽  
Farm Labor ◽  
Binary Logistic Regression Model ◽  
Factors Affecting ◽  
Poor Households ◽  
Simple Regression Model ◽  
Poverty Status ◽  
Household Members

ABSTRAKPenelitian ini bertujuan untuk mengevaluasi kemungkinan usaha ternak domba sebagai aktivitas nafkah untuk pengentasan kemiskinan, serta menentukan jumlah kepemilikan domba yang dapat  membawa rumah tangga buruh tani keluar dari kemiskinan. Survey telah dilakukan di Desa Walangsari Kecamatan Kalapanunggal Kabupaten Sukabumi, melibatkan rumah tangga buruh tani miskin sebanyak 65 orang dan 22 orang tidak miskin. Faktor yang berpengaruh terhadap kemiskinan dianalisis menggunakan model regresi logistik biner, sedangkan jumlah kepemilikan domba yang harus dipelihara untuk keluar dari kemiskinan ditentukan dengan model regresi sederhana. Hasil penelitian menunjukkan bahwa usia kepala keluarga, dan pengalaman beternak tidak mempengaruhi kemiskinan, sedangkan jumlah kepemilikan domba, jumlah anggota rumah tangga, keterlibatan dalam kelembagaan, serta sumber pendapatan dari non pertanian mempengaruhi status kemiskinan rumah tangga buruh tani. Pada rata-rata jumlah anggota rumah tangga sebanyak 4,45 orang,untuk keluar dari kemiskinan buruh tani harus memelihara minimal sebanyak 36,63 ekor domba per rumah tangga. Hasil penelitian ini menegaskan bahwa usaha ternak domba dapat digunakan sebagai sarana untuk pengentasan kemiskinan buruh tani, program pengentasan kemiskinan akan efektif bila melibatkan kelembagaan lokal.Kata Kunci: buruh tani, jumlah kepemilikan domba, kemiskinanABSTRACTThis study aims to determine the possibility of sheep farming as a livelihood activity for poverty alleviation and to determine the amount of sheep ownership that can bring farm laborers households out of poverty. Survey research has been carried out in Walangsari Village, Kalapanunggal District, Sukabumi Regency, involving 65 poor farmer households and 22 non-poor households. Factors affecting poverty were analyzed using a binary logistic regression model, while the number of sheep ownership needed to escape poverty was determined by a simple regression model. The results showed that the age of the head of the family, and experience of sheep farmers did not affect poverty, while the number of sheep ownership, number of household members, involvement in institutions, and sources of income from non-agriculture affected the poverty status of farm laborers' households. In the average number of household members as many as 4.45 people, to get out of poverty must maintain a minimum of 36.63 sheep per household. This research explains that sheep farming can be used as a means to reduce the poverty of farm laborers, and poverty alleviation programs will be effective if they involve local institutions.Keywords: farm labor, number of sheep ownership, poverty

Parental Transfers, Intra-household Bargaining and Fertility Decision

2018 ◽  
Vol 19 (1) ◽  
Author(s):  
Emin Gahramanov ◽  
Khusrav Gaibulloev ◽  
Javed Younas
Keyword(s):  
Household Income ◽  
Policy Implications ◽  
Household Level ◽  
Number Of Children ◽  
Simple Theoretical Model ◽  
Parental Transfers ◽  
Level Data ◽  
Fertility Decision ◽  
Demand For Children

Abstract This paper examines the role of parental transfers on family size. We introduce a simple theoretical model of fertility decision where preferences towards children may differ between female and male spouses. Parental transfers increase both the household income and the bargaining power of the recipient spouse. Therefore, transfers from wife’s and husband’s parents may have dissimilar effects on the number of children. Our empirical result, based on a unique household-level data for Japan, supports this hypothesis. In particular, received transfers from the wife’s parents are negatively associated with the demand for children. In contrast, both received and expected transfers from the husband’s parents are positively associated with the demand for children. These results hold important policy implications.

scholarly journals Determinants of Household Poverty Status in Kediri City

2021 ◽  
Vol 9 (2) ◽  
pp. 36-47
Author(s):  
Yennie Dwi Rozanti ◽  
Mohamad Khusaini ◽  
Ferry Prasetyia
Keyword(s):  
Household Head ◽  
Marginal Effect ◽  
Household Poverty ◽  
Poor Households ◽  
The Status ◽  
Poverty Status ◽  
Household Members ◽  
Household Heads ◽  
Productive Assets ◽  
Logit Regression Model

Analyses of the causes and the characteristics of poverty at micro levels provide more efficient strategies for the attainment of main Sustainable Development Goals. This study aimed to analyze the extent to which the characteristics of individuals, households, and communities influence the probability of household poverty status. The 2019 Social Welfare Integrated Data and Village Potential Data of Kediri City were analyzed using an ordered logit regression model and then interpreted based on marginal effect calculation. The study found that household heads’ squared-age, household members’ education, household members’ occupation, household head gender (female), ownership of assets, access to the internet, access to proper sanitation, and access to financial institutions reduced the probability of households being categorized as very poor and poor. This finding indicated that household productivity influenced by the household head’s characteristics in managing productive assets, supported by access to infrastructure, could increase the household's welfare. However, the household head’s age and marital status, dependency ratio, and access to health facilities increased household’s probability of being very poor and poor. Policies regarding poverty must be adjusted to the poverty characteristics and status. Improving access, equalizing education, and improving job opportunity and infrastructure management that ensure accessibility and enhancement in service quality need to be made to increase the status of households with the lowest 40% welfare in Kediri City. Policies regarding poverty should be focused more on social programs for very poor and poor households. Meanwhile, those near-poor and vulnerable-to-poor need more empowering programs.

scholarly journals Factors Affecting Human Capital in Southern Punjab: An Empirical Analysis

2021 ◽  
Vol 4 (1) ◽  
pp. 179-191
Author(s):  
Salyha Zulfiqar Ali Shah ◽  
Imran Sharif Chaudhry ◽  
Fatima Farooq
Keyword(s):  
Human Capital ◽  
Rural Areas ◽  
Household Head ◽  
Household Survey ◽  
Ordinary Least Squares ◽  
Primary Data ◽  
Factors Affecting ◽  
Household Level ◽  
Annual Budget ◽  
Per Capita

Analyzing the factors affecting human capital at household level increases the productivity of people living in developing countries. A primary data was collected through a household survey to study the factors affecting human capital in Southern Punjab using Ordinary Least Squares (OLS) regression technique. The findings show that the location of the household in rural areas, occupation of the household head in the primary sector, household size, household poverty and female/male ratio shows significant and negatively affecting the human capital of the households in Southern Punjab. Moreover, per capita income, number of earners in the household, remittances are significant and positively affecting the human capital of the households in Southern Punjab. The annual budget allocation for education in Pakistan is very low, so Government should allocate a significant amount of funds to the education sector.

The livelihood impacts of the Namibian community based natural resource management programme: a meta-synthesis

2010 ◽  
Vol 37 (1) ◽  
pp. 45-53 ◽  
Author(s):  
HELEN SUICH
Keyword(s):  
Resource Management ◽  
Natural Resource Management ◽  
Natural Resource ◽  
Contextual Information ◽  
Rural Livelihoods ◽  
Community Based ◽  
Factors Affecting ◽  
Household Level ◽  
Physical Assets ◽  
Management Institutions

SUMMARYCommunity based natural resource management (CBNRM) programmes aim to achieve the joint objectives of biodiversity conservation and improved rural livelihoods by providing incentives to sustainably manage relevant resources. Since 1998, more than 50 natural resource management institutions, known as conservancies, have been established in order to manage wildlife resources, on communal lands in Namibia. The national programme is often cited as a CBNRM success; however, despite its rapid spread, there are few systematically collected or analysed household-level data which demonstrate the long-term ecological, social and economic impacts of Namibian programme. A meta-synthesis was undertaken to determine the range of positive and negative livelihood impacts resulting from CBNRM programme activities in two key regions, and the factors affecting how these impacts have been felt by households or individuals. Impacts were categorized according to any changes in access to and/or returns from the five key assets of the sustainable livelihoods framework, namely financial, human, natural, physical and social assets. Positive and negative impacts were felt on financial, human, natural and social assets; only positive impacts were identified as affecting physical assets. Individual- and household-level impacts differed depending on the specific activities implemented locally and, according to the duration, frequency and timing of the impacts, the circumstances and preferences of households and their access to particular activities and consequent impacts. If a greater understanding of the extent and importance of different impacts is to be gained in the future, more rigorous and comprehensive data collection and analysis will need to be undertaken. Analyses will need to consider the whole range of activities implemented, both the benefits and costs associated with these different activities, and will also need to provide contextual information to allow the relative importance of impacts resulting from CBNRM activities to be better understood.

scholarly journals Factors affecting extent of rural livelihood diversification in selected areas of Bangladesh

2018 ◽  
Vol 16 (1) ◽  
pp. 7-21 ◽  
Author(s):  
MT Ahmed ◽  
H Bhandari ◽  
PU Gordoncillo ◽  
CB Quicoy ◽  
GP Carnaje
Keyword(s):  
Household Head ◽  
Sampling Technique ◽  
Primary Data ◽  
Livelihood Diversification ◽  
Tobit Regression ◽  
Factors Affecting ◽  
Migrant Household ◽  
Multi Stage ◽  
Poor Households ◽  
Major Factors

The study was carried out to investigate the patterns and extent of livelihood diversification in rural Bangladesh. It also identified the major factors affecting extent of livelihood diversification. The study drew a random sample of 500 rural farm households in Bangladesh through a multi-stage sampling technique. The primary data were collected using semi-structured questionnaires, and analyzed using descriptive statistics and statistical techniques. The results showed that remittance contributed the highest to the household income followed by petty business and rice farming. The estimated values of Simpson Index of Diversification (SID) showed that majority of the rural households had “medium” and “high” level diversified livelihood activities. Tobit regression analysis found that gender of the household head, household size and amount of credit had positive and significant effects; and number of migrant household member, dependency ratio, household assets, education of the household head and amount of savings had negative but significant effects on the extent of livelihood diversification. The small and medium landholding households were more likely to diversify their livelihoods compared to the functionally landless and large landholding households. The study recommended that non-farm employment opportunities should be expanded to combat poor households' vulnerability to shocks and income fluctuations. Functionally landless households should be given more attention to increase and diversify their incomes.SAARC J. Agri., 16(1): 7-21 (2018)

scholarly journals Multilevel and Spatially Heterogeneous Factors Influencing Poor Households’ Income in a Frontier Minority Area in Northeast China

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Binyan Wang ◽  
Mark W. Rosenberg ◽  
Shijun Wang ◽  
Peifeng Yang ◽  
Junfeng Tian
Keyword(s):  
Northeast China ◽  
Rural Households ◽  
Arable Land ◽  
Household Head ◽  
Household Level ◽  
Farm Work ◽  
Factors Influencing ◽  
Poor Households ◽  
Environmental Level ◽  
Minority Area

Increasing the income of poor rural households is essential for the realization of China’s goal of sustainable development, which entails inclusive and equitable development and reducing the developmental gap between urban and rural areas. We conducted a case study of Wangqing County, a frontier minority area in Northeast China to examine spatial patterns and income differentials among poor rural households in this area. We quantified existing associations between household-level and environmental-level characteristics and income by applying hierarchical linear models. We subsequently applied Geographically Weighted Regression to analyze the spatial heterogeneity of the environmental-level variables and develop an understanding of the interaction mechanism of influencing factors. The results revealed that the distribution of villages, where income levels were similar, showed significant spatial agglomeration characteristics. Our findings also provide empirical evidence that household- and village-level characteristics together determine the income of poor households, but that household-level characteristics determine destitution to a greater extent than environmental characteristics. More specifically, the sex, health condition, and labor capacity of the household head, household size, the dependency ratio, social welfare, and off-farm work are significantly associated with household income. At the environmental level, arable land, the distance to the county center, and the average altitude had spatially heterogeneous impacts that varied in direction and intensity. This systematic study provides a more comprehensive and integrated understanding of the factors influencing the income of poor households in a frontier minority area in Northeast China.

scholarly journals Determinants of Maize Commercialization among Smallholder Farmers: The Case of Nunu Kumba District, East Wollega Zone, Oromia Regional State, Western Ethiopia

2019 ◽  
pp. 1-8
Author(s):  
Mabiratu Dangia ◽  
Prem Kumar Dara ◽  
Gersam Daniel
Keyword(s):  
Smallholder Farmers ◽  
Household Head ◽  
Institutional Arrangement ◽  
Ordered Logit ◽  
Market Participation ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Household Level ◽  
Speed Up ◽  
Infrastructure Strengthening

This study were aimed at analyzemaize producer’s household level of market participation, determinants of maize producer household’s degree of market participationand determinants of maize producer households level of commercialization in the study area. The study used a cross sectional data collected from 345 randomly selected households from four kebeles through semi-structured household questionnaires. Tobit model was used to analyze determinants of level of market participation of maize producers and ordered logit model was used to assess the factors affecting household maize commercialization.Based on Tobit result family size and distance from nearest market affected market participation of maize producers significantly and negatively, and land allocated for maize, access to improved seed, raw planting, amount of credit received and membership of cooperative affected market participation of maize producers significantly and positively. The result of ordered logit revealed that Marital status, Household size, distance from nearest market and age of household head significantly and negatively affected level of commercialization. Whereas, Household labor supply, access to improved seed, amount of fertilizer, credit amount, and household head education class positively and significantly affected level of commercialization. Policies that give more emphasis to family planning, improving and strengthening rural infrastructure, strengthening institutional arrangement like cooperatives have paramount implications to speed up the move from subsistence and semi commercial towards commercial oriented production.

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