The correlations between livelihood capitals and perceived recovery

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ziqiang Han ◽  
Lei Wang ◽  
Jianwen Wei
Keyword(s):  
Household Survey ◽  
Physical Capital ◽  
Current Status ◽  
Sustainable Livelihood ◽  
Data Set ◽  
Content Type ◽  
2008 Wenchuan Earthquake ◽  
Household Survey Data ◽  
Sustainable Livelihood Approach ◽  
Livelihood Capitals

PurposeThis study examines the recovery of households after disasters from the sustainable livelihood approach (SLA) perspective.Design/methodology/approachThis study analyzes the perception of recovery by using a longitudinal household survey data set collected from a Chinese county devastated by the 2008 Wenchuan earthquake. The analysis compares the changes of livelihood capitals (financial, natural, physical, social, human) between 2012 and 2009 and recovery perception.FindingsThe results demonstrate that both the current status of financial, natural, and social capital and the changes of the capitals between 2009 and 2012 are positively correlated with the perceived level of recovery. The associations between the current status and the change of physical capital and recovery perception are insignificant. In contrast, with a greater change of human capital between 2009 and 2012, participants have a lower perception of recovery.Originality/valueBy investigating a longitudinal data, this study indicates that (1) household recovery should be considered as multidimensional, (2) the SLA could be a feasible framework to measure recovery, and (3) individual's recovery perception is dependent on the various dimensions of recovery measures.

Sources of retirement income among formal sector workers in Ghana

2016 ◽  
Vol 7 (3) ◽  
pp. 366-378
Author(s):  
Peter Quartey ◽  
Mark Edem Kunawotor ◽  
Michael Danquah
Keyword(s):  
Survey Data ◽  
Household Survey ◽  
Retirement Income ◽  
Formal Sector ◽  
Content Type ◽  
Consumption Decisions ◽  
Income Sources ◽  
Household Survey Data ◽  
Alternative Sources ◽  
Pension Benefits

Purpose The purpose of this paper is to examine alternative sources of retirement income apart from the Social Security and National Insurance Trust (SSNIT) pension benefits and the significance of these retirement income sources in the consumption decisions of pensioners in Ghana. Design/methodology/approach Using household survey data on SSNIT pensioners in Accra, Ghana, this study employ the Garrett and Kendall coefficient of concordance (W-test) to robustly identify the sources of retirement income and determine the significance of these income sources in financing consumption expenditure during retirement. Findings The findings show that apart from SSNIT pension benefits, other sources of retirement income including rental income, income from post-retirement jobs and remittances from family and friends are significant sources of income for pensioners in Ghana. Personnel savings and investment was the least important source of retirement income. Research limitations/implications Further research will be needed to validate these results, particularly using household survey data that covers the entire country. Originality/value The study contributes to the scanty literature on retirement income by robustly identifying the alternative sources of retirement income and their importance or significance to pensioners in Ghana.

Unemployment in Ghana: a cross sectional analysis from demand and supply perspectives

2015 ◽  
Vol 6 (4) ◽  
pp. 402-415 ◽  
Author(s):  
William Baah-Boateng
Keyword(s):  
Household Survey ◽  
Baseline Survey ◽  
Labour Demand ◽  
Cross Sectional ◽  
Data Set ◽  
Demand And Supply ◽  
Content Type ◽  
Cross Sectional Analysis ◽  
Nationally Representative ◽  
Sectional Analysis

Purpose – The purpose of this paper is to analyse the causes of unemployment in Ghana from both labour demand and supply perspectives based on most recent cross sectional data set from one nationally representative household survey and a baseline survey for Millennium Development Support. Design/methodology/approach – A logit regression estimation technique is applied to two different household survey data sets of 2008 and 2013 to capture the effect of labour demand and supply on unemployment. Findings – Using education and age as capability variables to represent supply factors, unemployment is found to increase with education, and declines with age, confirming higher unemployment rate among the youth, than the old. The paper also observes strong influence of demand factors on unemployment based on relatively higher incidence of unemployment fulltime jobseekers relative to part-time jobseekers and seekers of formal or wage-employment and self-employment or SMEs compared with those seeking any job. Other factors such as the individual’s reservation wage, marital status, sex and poverty status as well as their rural-urban location are also found to cause unemployment in Ghana. Practical implications – Unemployment as a result of the inability of individuals to obtain a job of their choice in the midst of strong economic growth in Ghana suggests weak employment content of growth. In contrast, an increasing phenomenon of unemployment with education also reflects a problem of skill mismatch between skills churn out by education and training institutions and skills requirement by firms in the labour market. Originality/value – The originality of the paper and its contribution to existing literature largely emanate from the inclusion of demand factors in a cross sectional analysis of causes of unemployment.

Nutrient elasticities of food consumption: the case of Indonesia

2017 ◽  
Vol 7 (3) ◽  
pp. 198-217 ◽  
Author(s):  
Faharuddin Faharuddin ◽  
Andy Mulyana ◽  
M. Yamin ◽  
Yunita Yunita
Keyword(s):  
Food Consumption ◽  
Rural Areas ◽  
Design Methodology ◽  
Household Survey ◽  
Oil And Grease ◽  
Content Type ◽  
Absolute Value ◽  
Household Survey Data ◽  
Food Commodities ◽  
Rice Oil

Purpose The purpose of this paper is to assess nutrients elasticities of calories, proteins, fats, and carbohydrates in Indonesia. Design/methodology/approach Quadratic Almost Ideal Demand System is used on Indonesian socioeconomic household survey data. Findings Expenditure elasticities of nutrients in overall model range from 0.707 (for carbohydrates) to 1.085 (for fats), but expenditure elasticities in rural areas are higher than those in urban area. Most of price elasticities of nutrients have very small absolute value (not elastic) and all values are lower than the expenditure elasticities. However, the price of five groups of food commodities, namely, rice, oil and grease, fishes, meat, and other foods give significant influence on nutrients consumption. Research limitations/implications This research only includes four micronutrients, namely, calorie, protein, fat, and carbohydrate. Originality/value This research is one of very limited literatures about nutrient elasticity of food consumption in Indonesia.

scholarly journals Strategi Pemberdayaan Masyarakat Kawasan Penyangga di TN Sebangau Berdasarkan Perspektif Sustainable Livelihood Approach

2020 ◽  
Vol 5 (2) ◽  
pp. 129
Author(s):  
Ardiyanto Maksimilianus Gai
Keyword(s):  
Community Development ◽  
Development Strategy ◽  
National Park ◽  
Local Community ◽  
Natural Capital ◽  
Physical Capital ◽  
Buffer Zone ◽  
Sustainable Livelihood ◽  
Scoring Method ◽  
Sustainable Livelihood Approach

Kawasan penyangga di TN Sebangau memiliki permasalahan dari berbagai sektor, seperti sosial, ekonomi dan lingkungan. Salah satunya adalah masalah kerusakan hutan. Saat ini masyarakat yang tinggal di kawasan penyangga TN Sebangau bergantung pada hasil sumber daya alamnya. Namun, kesejahteraan yang rendah menuntut masyarakat untuk melakukan beberapa kegiatan yang melanggar kebijakan TN Sebangau dan berpotensi mengganggu lingkungan sekitarnya. Konsep pendekatan mengenai penghidupan yang berkelanjutan (sustainable livelihood) merupakan salah satu bentuk metode yang dapat mengatasi permasalahan yang muncul pada masyarakat yang tinggal di kawasan penyangga TN Sebangau. Penelitian ini menggunakan pendekatan deskriptif kualitatif, dengan menggunakan metode skoring, AHP dan analisis triangulasi. Subjek penelitian adalah masyarakat yang tinggal di kawasan penyangga TN Sebangau. Variabel yang digunakan adalah modal sosial, modal alam, modal fisik, modal manusia dan modal finansial. Hasil penelitian menunjukkan dari kriteria dan subkriteria pada 3 strategi, yaitu pengembangan masyarakat lokal, perencanaan sosial dan aksi sosial, kriteria ‘pengembangan masyarakat lokal’ merupakan model pemberdayaan yang tepat untuk diterapkan di kawasan penyangga TN Sebangau. Sehingga diperlukan strategi pengembangan yang sesuai dengan masing-masing variabel terkait penghidupan berkelanjutan (sustainable livelihood).Abstract:  Sebangau National Park buffer zone had problem in many sectors like social, economic and environment. One of them is deforestation. Currently, people who lived at Sebangau National Park buffer zone depends on it natural resources. However, low-welvare condition requires people doing some violation against Sebangau National Park policy and potentially interfere the ecosistem. Sustainable livelihood approach presumed can be one solution to solve the problem at Sebangau National Park buffer zone. This research used qualitative descriptive approach, with scoring method, AHP and triangulation analysis. Research subject is people who lived at  Sebangau National Park buffer zone. Variabel that used is social capital, natural capital, physical capital, human capital and financial capital. The results showed that from criteria and sub criteria on 3 strategy, that is local community development strategy, social planning strategy and social action strategy, local community development criteria is exactly empowerment model to apply at Sebangau National Park buffer zone. So that the development strategy of the models are needed in accordance with each variable related to sustainable livelihood.

scholarly journals Impact of food price increases on poverty in Indonesia: empirical evidence from cross-sectional data

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Faharuddin Faharuddin ◽  
M. Yamin ◽  
Andy Mulyana ◽  
Y. Yunita
Keyword(s):  
Rural Areas ◽  
Household Survey ◽  
Food Prices ◽  
Food Price ◽  
Food Groups ◽  
Cross Sectional ◽  
Content Type ◽  
Price Increases ◽  
Household Survey Data ◽  
The Impact

PurposeUsing cross-sectional household survey data, this paper aims to determine the impact of food price increases on poverty in Indonesia.Design/methodology/approachThis paper uses the quadratic almost ideal demand system applied to the 2013 Indonesian household survey data. The impact of food price increase on household welfare is calculated using a welfare measure, compensating variation.FindingsThree food groups with the most outstanding price impact on poverty are rice, vegetables and fish were studied. The 20% increase in the price of each food group causes an increase in the headcount ratio by 1.360 points (rice), 0.737 points (vegetables) and 0.636 points (fish). Maintaining food price stability for these food groups is very important because the more price increases, the more impact on poverty. Food price policies in rural areas are also more critical than in urban areas because the impact of food price increases in rural areas is higher.Research limitations/implicationsThis paper does not consider the positive impact of rising food prices on food-producing households.Practical implicationsImplementing appropriate poverty alleviation policies through food policies for main food groups and social protection.Social implicationsPromoting rural development policies and agricultural growth.Originality/valueThis paper contributes to the existing literature by providing empirical results regarding the impact of domestic food prices increase on poverty in Indonesia.

Learning a Causal Model from Household Survey Data by Using a Bayesian Belief Network

2003 ◽  
Vol 1836 (1) ◽  
pp. 29-36 ◽  
Author(s):  
Francisco J. Torres ◽  
Manfred Huber
Keyword(s):  
Graphical Model ◽  
Causal Model ◽  
Household Survey ◽  
Bayesian Belief Network ◽  
Generation Process ◽  
Data Set ◽  
Belief Network ◽  
Representation Structure ◽  
Key Variables ◽  
Household Survey Data

A Bayesian belief network (BBN) is a modeling and knowledge-representation structure used in artificial intelligence that consists of a graphical model depicting probabilistic relationships among variables of interest. This graphical model is a valuable tool for representing the causal relationships in a given set of variables. Because the number of possible BBNs for a given data set is exponential with respect to the number of variables, learning a BBN from data is a difficult and resource-consuming task. A greedy algorithm that automatically constructs a BBN from a data set of cases obtained from a household survey was implemented. The resulting BBN shows the dependencies among key variables that are associated with the trip-generation process.

Mining and livelihood: a microanalysis in Odisha, India

2017 ◽  
Vol 44 (1) ◽  
pp. 93-113
Author(s):  
Minati Sahoo ◽  
Dharmabrata Mohapatra ◽  
Dukhabandhu Sahoo
Keyword(s):  
Agricultural Land ◽  
Principal Component ◽  
Physical Capital ◽  
Financial Capital ◽  
Sustainable Livelihood ◽  
Content Type ◽  
Significant Difference ◽  
Physical Assets ◽  
The Impact ◽  
Impact Of Mining

Purpose The purpose of this paper is to study the impact of mining on the livelihood of the inhabitants of Keonjhar district in Odisha, through creation of physical and financial capital using the sustainable livelihoods framework. Design/methodology/approach Principal component analysis technique and discriminant analysis were used to assess the impact of mining on the financial capital. A cross-tabulation analysis with χ2-test has also been carried out to find its impact on physical capital. Findings The study reveals that though iron ore mining helps in the augmentation of financial capital of the households, its impact on physical capital is mixed. Households in mining villages enjoy higher average annual and per capita income than those in nonmining villages. There is also a significant difference in the financial capital index of mining and nonmining villages. Even owning of physical assets like TV and motorcycle is significantly higher in mining villages than its nonmining counterparts. But mining has failed to develop the infrastructural facilities and has rendered most of the agricultural land uncultivated. Originality/value It is difficult to sustain the benefits arising out of mining over long run due to its finite life span and calls for policy interventions that can lead to sustainable livelihood to the local inhabitants.

Does coffee production reduce poverty? Evidence from Uganda

2017 ◽  
Vol 7 (3) ◽  
pp. 260-274
Author(s):  
Swaibu Mbowa ◽  
Tonny Odokonyero ◽  
Tony Muhumuza ◽  
Ezra Munyambonera
Keyword(s):  
Poverty Reduction ◽  
Smallholder Farmers ◽  
Household Survey ◽  
Qualitative Assessment ◽  
Coffee Production ◽  
Content Type ◽  
National Household Survey ◽  
Household Survey Data ◽  
Quantile Treatment Effect ◽  
Evaluation Techniques

Purpose The purpose of this paper is to examine the effect of coffee production on poverty among smallholder farmers. Design/methodology/approach National Household Survey data for Uganda were triangulated with qualitative field data. A mix of propensity score matching (PSM) and quantile treatment effect techniques was employed. Findings The results reveal a significant effect of coffee production on poverty reduction, through incremental household consumption expenditure. Households engaged in coffee production are associated with a lower incidence of poverty. The interesting evidence suggests that coffee production is a pro-poor intervention. These findings are confirmed by qualitative assessment that reveals farmers’ welfare improved to greater extent to satisfactory levels from coffee income. Research limitations/implications Econometrically robust strategies were employed to ensure minimal estimation bias; however, the authors are mindful of PSM limitation of selection on observables. Originality/value This paper is part of a limited body of literature that combines quantitative and qualitative assessment, a growing issue in contemporary research. In addition to employing one of the conventional impact evaluation techniques, the paper accounts for heterogeneity in the effects of coffee production.

Who suffers from food insecurity in Indonesia?

2019 ◽  
Vol 46 (10) ◽  
pp. 1186-1197
Author(s):  
Eka Rastiyanto Amrullah ◽  
Akira Ishida ◽  
Ani Pullaila ◽  
Aris Rusyiana
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
Household Head ◽  
Household Survey ◽  
Household Food Security ◽  
Food Category ◽  
Data Set ◽  
Content Type ◽  
Household Food ◽  
Individual Household

Purpose The purpose of this paper is to clarify the socioeconomic determinants of household food insecurity in Indonesia using individual household data obtained from the 2015 nationwide household socioeconomic and expenditure survey called Survei Sosial Ekonomi Nasional. Design/methodology/approach A stereotype logistic regression model is applied to detect factors determining household food security. Findings The results from the cross-analysis between calorie consumption and share of food expenditure to total household expenditure (Engel coefficient) indicate that 20.8 percent of households were in the “food insecure” category, 21.5 percent in the “lack of food” category, 26.6 percent in the “vulnerable” category and the remaining 31.2 percent in the “food secure” category. Research limitations/implications The main limitation relates to the data set because the collection was conducted in March 2015. Furthermore, the analysis is restricted because of the limited availability of information on socioeconomic factors of respondents. Further research based on the latest data set with more detailed information on respondents is necessary to deepen the discussion. Originality/value Researchers have not specifically discussed the factors determining household food security in Indonesia using reliable nationwide household survey data. The estimation results clearly indicate that a household fulfilling one or more of the following conditions is more likely to be in the “food insecure” category: many members, low education level of household head, divorced household head, household head is a smoker, household head engages in agriculture or construction work and residence is in rural or backward regions.

Exploring the effect of intellectual capital on financial performance: a study of Indian banks

2020 ◽  
Vol 24 (4) ◽  
pp. 511-529 ◽  
Author(s):  
Faizi Weqar ◽  
Ahmed Musa Khan ◽  
Syed Mohammed Imamul Haque
Keyword(s):  
Financial Performance ◽  
Intellectual Capital ◽  
Value Added ◽  
Physical Capital ◽  
Foreign Banks ◽  
Data Set ◽  
Content Type ◽  
Study Results ◽  
Nationalised Banks ◽  
Indian Banks

Purpose The purpose of this paper is to inspect the effect of intellectual capital (IC) on the financial performance (FP) of Indian banks. Design/methodology/approach The study uses the data of 58 Indian banks, namely, 20 nationalised banks, 17 private Indian banks and 21 private foreign banks, for the period between 2009 and 2018. A modified value-added intellectual coefficient methodology was used for measuring the efficiency of the IC. Findings The efficiency of IC significantly enhances the profitability and productivity of the Indian banks. Overall, human capital is the most substantial component of IC in augmenting the profitability and productivity of the Indian banking industry. Structural capital and physical capital are vital only for improving profitability while the contribution of relational capital towards the banks’ FP is nominal. The result also shows that amongst the three categories of Indian banks, private foreign banks are most efficient in leveraging their IC. Research limitations/implications The study results are only restricted to Indian banks and the data of only 58 banks are used for drawing the inferences. Originality/value The paper fills the void in the existing literature of IC and corporate FP by using the data set of Indian banks divided into the public sector, private Indian and private foreign banks.

Sign in / Sign up

Export Citation Format

Share Document