scholarly journals Factors affecting the income of migrant households in rural Vietnam: A household level study

2020 ◽  
pp. 3041-3046 ◽  
Author(s):  
Doan Van Truong ◽  
Le Thi Thuy Ly ◽  
Nguyen Do Huong Giang ◽  
Leng Thi Lan ◽  
Le Thu Hien
2021 ◽  
Author(s):  
◽  
Rio Yonson

<p>Some of the world’s most destructive disasters occurred in the Philippines, and a number of these happened in recent years. In 2011, 2012, and 2013, tropical cyclones Washi, Bopha, and Haiyan, respectively, left a staggering trail of over 8,000 deaths, as well as huge damages to assets and livelihoods. In 2009, tropical cyclones Ketsana and Pharma brought massive riverine floods, with a total damage and loss equivalent to 2.7% of the country’s GDP. This dissertation is an endeavour to measure disaster impacts and welfare risk, and to identify factors affecting vulnerability and resilience in different spatial scales in the Philippines. The first of four chapters is an extensive literature survey on the economic vulnerability and economic resilience to disasters. This serves as a prelude to the succeeding three empirical studies contained in Chapters 3 to 5. Chapter 3 aims to measure tropical cyclone-induced fatalities in the Philippine provinces, and identifies the factors that shape people’s vulnerability. It also quantifies the relative importance of hazard, exposure, and socioeconomic vulnerability in influencing fatalities. Chapter 4 is a household level study that quantitatively establishes the linkages between floods and diseases in the floodplains of a highly-urbanized city in the Philippines (Cagayan de Oro), and provides an estimate on the public finance implications of flood-induced diseases to the Philippine urban areas, and on the additional economic burden on affected households. Chapter 5 measures socioeconomic resilience and welfare risk from riverine flood disasters, and systematically quantifies the effectiveness of a menu of region-specific disaster risk reduction and management measures.</p>


2021 ◽  
Vol 4 (1) ◽  
pp. 179-191
Author(s):  
Salyha Zulfiqar Ali Shah ◽  
Imran Sharif Chaudhry ◽  
Fatima Farooq

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.


1997 ◽  
Vol 36 (1) ◽  
pp. 1-37 ◽  
Author(s):  
G. M. Arif ◽  
M. Irfan

This paper examines the factors affecting occupational composition of Pakistani workers upon their return from Middle East employment by using the 1986 ILO/ARTEP Survey of Return Migrant Households. In view of the concentration of workers in lowstatus occupations prior to migration, there was a great incentive for them to change these occupations after return. The study shows that the economic resources gained from overseas employment gave migrants the strength to seek independent employment, and there was a clear move out of the production-service occupations into business and agriculture occupations. This movement was strongly related to migrants’ length of stay in the Middle East. Since the occupational structure of the general population remained almost unchanged in the 1970s and 1980s, the employment trends exhibited by return migrants could largely be attributed to overseas migration. However, the study shows that businesses and farms established by migrant workers were small-scale.


2010 ◽  
Vol 37 (1) ◽  
pp. 45-53 ◽  
Author(s):  
HELEN SUICH

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.


2013 ◽  
Vol 30 (2) ◽  
pp. 202-209 ◽  
Author(s):  
Sushil Pandey

AbstractA study was conducted on the spatial dimension of crop diversity in Jutpani Village Development Committee (VDC) in central Nepal. Many crop diversity studies focus only on home gardens, but this study aimed to investigate the crop diversity among different production systems, and the factors affecting variations in the crop diversity on a household level. A survey of inter-household variation in cultivated crop diversity in different land-use types among 134 households indicates that 96 different types of annual crops, perennial crops and fruit trees are cultivated. Individual farms cultivated an average of 26 different crops, with this number ranging from 11 to 45. Crops were used as food by the households and, based on their adaptive characters, they were grown either in home gardens or in upland, Tandikhet and lowland. Research showed that home gardens have the highest crop diversity (a total of 78 different crops grown) compared to upland, Tandikhet and lowland. Statistical analysis to understand the factors affecting the variation in crop diversity in the household level showed that the total number of crops grown (crop diversity) on a farm is significantly higher (P<0.001) in the Indo-Aryan ethnic group compared to the Tibeto-Burman group. Farmers with three different production domains maintained higher (P<0.001) crop diversity compared to having only one or two production domains. Poor farmers with small land holdings were associated with higher crop diversity (P<0.001) compared to rich farmers with large land holdings. Therefore, planning for agrobiodiversity management should focus on the production systems, and social and economic settings within the farming community.


Author(s):  
Mirzobobo Yormirzoev ◽  
Gnel Gabrielyan

AbstractAlcohol consumption in Russia remains a topic of extensive debate and investigation. In this article we attempt to explore and analyze some factors affecting vodka, beer, dry wine and champagne consumption in the country by utilizing the most recent household level dataset. We made use of logistical regression approach as a key empirical tool. Our findings highlight that there exist different trends and patterns in contemporary alcohol drinking behavior among respondents. This paper rejects the common stereotype that only vodka is a popular variety of alcohol beverage in Russia. In a model with dry wine and champagne most of explanatory variables remain statistically significant.


Author(s):  
Mabiratu Dangia ◽  
Prem Kumar Dara ◽  
Gersam Daniel

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.


Author(s):  
Sabyasachi Chanda Antor ◽  
Asif Mahmud ◽  
Kanon Das ◽  
Sufianur Rahman ◽  
Tauhidul Islam

Aims: This study was conducted to explore the factors affecting dairy production and marketing value chain, value addition at a Household level in Mollahat upazila of Bagerhat District, Bangladesh. Methodology: For the implication of the study cluster sampling technique was used and data was collected from 80 dairy households. A Cobb-Douglas production function was used to identify the factors affecting dairy production and marketing margin was used to measure value addition as well as deriving marketing channel. Results: Marketing Channel of dairy farming showed that 50% of milk were channeled through by farmer-milkman-sweetshop-consumer and only 10% of milk directly channeled in both directly local market and home delivery. By analyzing data, the study got human labor, utilities, medicine have a positive correlation with milk yield of the milk cow. But it was found that straw and green grass have a negative correlation with the milk yield of the cow due to excessive use of it. The main observation was that all of the resources were not fully utilized by those households. Conclusion: Despite being smallholder and subsistence, if the farmers increase the amount of resource use in dairy rearing then milk production will be increased and the smallholder’s socio-economic conditions will be better.


Author(s):  
Salyha Zulfiqar Ali Shah ◽  
Imran Sharif Chaudhry ◽  
Fatima Farooq

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.


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