scholarly journals Micro-Level Determinants of Livelihood Diversification in The Rural Areas of Tinsukia District of India

2020 ◽  
Vol 8 (6) ◽  
pp. 4927-4931
Keyword(s):  
Rural Areas ◽  
Household Head ◽  
Primary Data ◽  
Livelihood Diversification ◽  
Rural People ◽  
Access To Credit ◽  
Development Policies ◽  
The Family ◽  
Micro Level ◽  
Made In

Livelihood diversification is a strategy to avoid the risk associated with shocks and to improve livelihood security. Different socio-economic and demographic factors influence the decision of livelihood diversification of households. An attempt has been made in this paper to identify the determinants of livelihood diversification of the rural people using primary data collected from 255 households of Tinsukia, one of the remote districts of India. This study, by employing the logistic regression model reveals that, at less than 10 percent probability level among 11 variables, six variables namely Age of the household Head (AGEH), Type of the Family (FAMILYT) Size of the Family (FAMILYS), Monthly Per Capita Income (MPCI), Access to Credit (CREDIT) and remittance (REMIT) are significant determinant of livelihood diversification. This study will help to formulate proper development policies on the part of various concerned authorities for supporting diversification in the rural areas.

scholarly journals Rural Households Livelihood Portfolios and Determinates of Livelihood Diversification in North-Western Ethiopia

2021 ◽  
Author(s):  
MERSHA TEWODROS GETNET ◽  
Mengistu Ketema ◽  
Bamlak Alemu Alamirew ◽  
Girma Demilew
Keyword(s):  
Rural Areas ◽  
Rural Households ◽  
Household Head ◽  
Primary Data ◽  
Farm Income ◽  
Livelihood Diversification ◽  
Ecological Zones ◽  
Household Livelihood ◽  
North Western ◽  
Western Ethiopia

Abstract Background: Regardless of the persistent image of rural areas in Ethiopia as a continent of subsistence farmers, over the past decades, there had been an outstanding tendency of rural economic diversification. Numerous motives prompt households and individuals to expand the range of assets, incomes, and activities. This paper is devoted to characterize rural households’ livelihood portfolios and examine the determinants of income diversification using primary data collected from two agro-ecological zones in north-western Ethiopia. To analyze, the data both descriptive and inferential statistics were used. Levels of household livelihood diversification were measured using Simpson Diversification Index (SDI). Censured regression models were employed to identify determinant factors affecting livelihood diversification. Result: The result confirmed that households in the study area collected a significant portion of their income from the diverse farm and off-farm sources. Diversification into off-farm sources contributed 35% to total household income. The result confirms that factors linked to household livelihood diversification measured in Simpsons Diversification Index (SDI) are significantly determined by household head educational status, access for tanning, age of household head, family size, livestock ownership, ox ownership, land owned, the proportion of infertile land, access for road and agro-ecologies. Conclusion: From these results, therefore due attention should be given to strengthening the role plaid by off-farm income in a rural area to facilitate the countries goal of a transformation. Therefore, policy measures need to be directed towards creating conducive conditions through the provision of education and tanning and improve households’ access to credit and improve access to a road.

Determinants of Domestic Violence in Pakistan: A Qualitative and Econometric Analysis

Partner Abuse ◽  
2021 ◽  
pp. PA-D-20-00006
Author(s):  
Naeem Akram
Keyword(s):  
Domestic Violence ◽  
Rural Areas ◽  
Physical Violence ◽  
Household Head ◽  
Working Women ◽  
World Health ◽  
Socioeconomic Indicators ◽  
The Family ◽  
Health Organization

Domestic violence exists in every country, irrespective of the culture, ethnicity, age, income, and education of the women. World Health Organization (WHO) has estimated that approximately 35% of women worldwide had experienced sexual or physical violence. The present study has attempted to analyze the role of different socioeconomic indicators on the prevalence of domestic violence. In this regard, data of Pakistan Demographic and Health Survey (PDHS) 2017–2018 has been used and logit models have been estimated. It has been found that women married below the age of 18; living in rural areas; have more children; whose mothers experienced violence; feared their husbands; with little to or no autonomy in decision-making; had a bank account; married outside of the family; and had not inherited any land or property were significantly more vulnerable victims of domestic violence. It has been found that women’s education, education of her husband, and exposure to media by creating awareness may protect women from domestic violence. Furthermore, working women are more likely to face domestic violence, but women who have started working before marriage are significantly less vulnerable victims of domestic violence. However, the age of women herself, the age of husband, age of household head and wealth of household, living in the nucleus or joint family, receiving any support from Benazir Income Support Program (BISP) have no significant role in determining the domestic violence in Pakistan.

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.

scholarly journals Rural-Urban Financial Literacy Divide in India: A Comparative Study of Kerala and Uttar Pradesh

2021 ◽  
pp. 14-24
Author(s):  
N. P. Abdul Azeez ◽  
M. Nasira Banu
Keyword(s):  
Rural Areas ◽  
Financial Literacy ◽  
Financial Services ◽  
Formal Education ◽  
Uttar Pradesh ◽  
Sampling Technique ◽  
Primary Data ◽  
Rural People ◽  
Multi Stage ◽  
Financial Decision

One of the significant competencies required in the contemporary scenario is an awareness or knowledge of varied financial affairs and the skill to handle matters apropos of finance. The dearth of financial literacy precludes rural people from the country's formal financial system and created a rural-urban financial divide, especially in the digitalized era. Effective incorporation of financial literacy in formal education will lead to greater access to financial services. This paper tries to find the rural-urban financial literacy divide based on the primary data collected from two states of India, namely Kerala and Uttar Pradesh. A total of 400 samples respondents were taken by using the multi-stage sampling technique. A comprehensive approach for measuring financial literacy is developed by constructing the Financial Literacy Index (FLI), which comprises financial knowledge, financial behaviour, and financial attitude. The results concluded with the rural-urban financial literacy divide findings as the financial literacy in rural areas is consistently lower than in urban. The results expose the need for a persistent and prolonged intervention from all the stakeholders, including policymakers, to enhance and sustain financial literacy to accomplish a bright financial decision making by the rural people.

RESILIENCE OF CLIMATE CHANGE AMONG RURAL AND URBAN POPULATION IN CHIDAMBARAM TALUK - A COMPARATIVE STUDY

YMER Digital ◽  
2021 ◽  
Vol 20 (12) ◽  
pp. 780-789
Author(s):  
Dr. T Pugalenthi ◽  
Keyword(s):  
Climate Change ◽  
Rural Areas ◽  
Food Supply ◽  
Ozone Depletion ◽  
Urban Areas ◽  
Agricultural Lands ◽  
Rural People ◽  
Rural And Urban ◽  
The Family ◽  
The Town

The intense changes in climate change directly and indirectly affect the agriculture, food supply and even the service sectors. Hence, as we people have to change our method of agriculture and other elated activates. The study was conducted in Chidambaram Taluk in Cuddalore District. The present study covered the four villages and five wards were selected from town. First, selection of village which are nearer to the town and wards in the town often affected by heavy rain, drought during summer and in general affected agriculture, food supply. Proportionate Random sampling techniques was used. Total sample size was 180 as proportionate to the population in the wards and villages. Finally 172 were used for the analysis and presentation. The study conducted with the following objectives.To understand the socio-economic and demographic conditions of the respondents in the study area, To examine the resilience of climate changes among the rural respondents and to analyse the use of different method used among the respondents in the study area To prove the association between the variables such as sex, place, religion, caste, occupation, income of the family, age, presently cropping. Holding agricultural lands statistically prove, the resilience accepted by place, education. Presently cropping and those who were having agricultural lands in the study area were significantly associated at 1% level. Income of the family religion, caste were significantly associated at 5% level. Create awareness campaign about the ozone depletion and the effects ozone depletion in both rural and urban areas. Insurance scheme on flood damage was poor response in rural areas but it was little higher in urban areas as they were all affected in the past 5 years than rural people. Adaptation of forecasting system was also poor in rural areas. Motivate the rural people to follow forecasting measures given by the government agencies and NGOs.

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 Determinants of households’ livelihood diversification strategies to adapt with natural disasters: Evidence from ecologically vulnerable haor region of Bangladesh

2021 ◽  
Author(s):  
Mohammad Shamsul Hoq ◽  
Md. Taj Uddin ◽  
Shankar Kumar Raha ◽  
Mohammad Ismail Hossain
Keyword(s):  
Natural Disasters ◽  
Livelihood Strategies ◽  
Local Context ◽  
Primary Data ◽  
Livelihood Diversification ◽  
Sustainable Livelihood ◽  
Economic Activities ◽  
Access To Credit ◽  
Poor Households ◽  
Diversification Strategies

Abstract The haor region of Bangladesh is exposed to a variety of natural disasters such as flash floods, seasonal floods, droughts, riverbank erosions, embankment breaches due to climate change, which impacts the haor people's lives and livelihoods. The study aims to assess the various livelihood strategies adopted by the haor households, as well as the factors that influence their decision to pursue more environmentally friendly and sustainable livelihood strategies. The primary data from the 300 haor households in Kishoregonj, Netrokona and Sunamgonj districts were collected with a multi-stage stratified random sample technique taking 100 of each district. We provide inimitable insight into the analysis framework for understanding sustainable rural livelihood, as well as empirical evidence of how livelihood resources, livelihood strategies, and livelihood outcomes are strongly interrelated. The study classified households’ economic activities into five distinct categories together with crop farming to cope with natural disasters. Among the livelihood options, crop plus livestock rearing is the most productive livelihood strategy for haor households. The findings revealed that the higher returning livelihood diversification strategies are significantly influenced by the household’s head age and education, dependency ratio, land holdings, household assets value, access to credit, annual income, membership of any organization, home to road, market, and haor distances, communication during the dry season, duration of waterlogged, and agro-ecology. In order to change the local context and enable poor households to establish more profitable livelihood strategies, policies should aim to promote the significant determinants of livelihood strategies, as well as ensure livelihood assets, a strong infrastructure, and minimize natural disasters.

scholarly journals Socioeconomic and Demographic Factors of household Expenditures: A Case Study of Southern Punjab (Pakistan)

2021 ◽  
Vol 9 (3) ◽  
Author(s):  
Rashid Ahmad ◽  
Muhammad Zahir Faridi ◽  
Tusawar Iftikhar Ahmad ◽  
Muhammad Ayub
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Large Scale ◽  
Household Head ◽  
Negative Relationship ◽  
Well Being ◽  
Least Square ◽  
Primary Data ◽  
Household Expenditures ◽  
Socioeconomic And Demographic Factors

Household expenditures are the main source of society's well-being and welfare. The examination of socioeconomic and demographic determinants of Household Expenditure in Southern Punjab is the major objective of the study. The primary data of 785 households is collected in Southern Punjab. The estimation analysis is based on the Ordinary Least Square (OLS) methodology. The age of household head, years of schooling, household size, Remittances, the value of assets, number of earners, distance of health center from household residence, the distance of the school from household residence have a positive effect on household monthly expenditures in Multan division, D.G Khan division, Bahawalpur division, and Southern Punjab. The households which belong to the informal sector have a negative relationship with monthly household expenditures in all three divisions and Southern Punjab. The association between the area of residence and monthly household expenditures is positive in all three divisions and Southern Punjab. The result shows that households living in urban areas of Southern Punjab have more expenditure as compared to rural areas. The presence of disease and household expenditures are negatively related to each other in Southern Punjab. Therefore, this study suggests that health facilities should provide at a large scale in various divisions of southern Punjab. 

scholarly journals The Relationship between Socioeconomic Status and The Patterns of Food and Nutrition Consumption of the Household in Rural Areas of Muaro Jambi Regency

2016 ◽  
Vol 8 (1) ◽  
pp. 118-124
Author(s):  
Suandi Suandi ◽  
Yusma Damayanti
Keyword(s):  
Socioeconomic Status ◽  
Rural Areas ◽  
Random Sampling ◽  
Household Head ◽  
Simple Random Sampling ◽  
Cross Sectional ◽  
Family Socioeconomic Status ◽  
The Family ◽  
Food And Nutrition ◽  
The Relationship

The objective of this research is to analyze the relationship between family socioeconomic status and nutritional adequacy rate in rural areas of Muaro Jambi, Jambi Province. The study design was cross-sectional. The study was conducted in rural areas of Muaro Jambi, Jambi province by selecting three districts, namely: district of Sekernan, Kumpeh Ulu, and Mestong. The research was conducted from July to December 2014. The sample was 180 families and were taken by purposive and simple random sampling. Data were tested by descriptive and Product Moment Correlation. The results showed that consumption of food and nutrition in the study area is almost close to the recommended nutrition adequacy standard. Results of the analysis showed that the variables of household head age, family size and income are positively and significantly correlated to energy and protein consumption adequacy of the family, while the factor of household head education was unrelated.

scholarly journals The unequal allocation of PRONAF resources: which factors determine the intensity of the program across Brazil?

2020 ◽  
Vol 58 (3) ◽  
Author(s):  
Manfred Zeller ◽  
Carolina Schiesari
Keyword(s):  
Rural Areas ◽  
Household Head ◽  
National Program ◽  
Family Farming ◽  
Extension Services ◽  
The Family ◽  
Important Player ◽  
The Government ◽  
Loan Size ◽  
Unequal Allocation

Abstract The family farming sector in Brazil is an important player in the country’s economy, especially in poor rural areas., The government has created the National Program for Strengthening Family Agriculture (PRONAF) to stimulate the development of family farming in Brazil. It a credit program that offers loans at a subsidized interest rate. Previous studies have shown that wealthier farmers and more developed regions have more access to subsidized credit. Due to this apparently unequal allocation of PRONAF resources, the study aims to analyze, through econometric regressions and interviews with specialists, the underlying determinants for the unequal credit allocation across the municipalities in Brazil. Results indicate that wealth and knowledge of farmers are significant determinants of loan size, whereas municipalities that represent a high risk have received significantly fewer resources from PRONAF per household head. Thereby, we can conclude that PRONAF’s operations are not fulfilling their pro-poor objectives of targeting poor farmers and municipalities. Progress in infrastructure and institutions to reduce risks, enhancement of farmers’ qualifications and organization, better access to markets and agroindustry, and improvements in rural extension services are found to be essential to increasing the access to PRONAF’s credit.

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