Socioeconomic Survey Research Articles

Estimation of the Proportion of Vulnerable Households and Its Determinants in Lampung Province in 2022

Aims: The purpose of this research to determine the profile of poverty vulnerability in Lampung Province and the factors that influence it. This is one of the efforts to achieve the ultimate goal of determining targeted policies as a preventive effort to prevent poverty from occurring in vulnerable households in Lampung Province in 2022. Study Design: Carrying out poverty grouping then carries out testing to determine poverty vulnerability. Place and Duration of Study: The data sources used in this study are secondary data in the form of raw data from the National Socio-Economic Survey (SUSENAS) KOR and Module for March 2022. In addition, this study also uses various other data sourced from the BPS Lampung Website and the Lampung Province Publication in Figures 2022. Methodology: The first step is to estimate poverty vulnerability using the Vulnerability as Expected Poverty (VEP) method. The study continued by analyzing the determinants of poverty vulnerability. The analysis of vulnerability determinants was carried out using the logit regression method. Results: Analysis of the level of vulnerability to poverty in the Lampung region shows that areas with high vulnerability, such as East Lampung, Tanggamus, and South Lampung, are influenced by various structural factors such as limited access to infrastructure and public services, minimal economic opportunities, and dependence on the agricultural sector. These factors are exacerbated by low levels of education and limited access to credit, which further worsen the economic conditions of the community. The number of household members, age of the head of household, education, gender, regional classification, access to credit, savings, employment status, and non-cash food assistance all contribute to the level of vulnerability; increasing the number of household members and the age of the head of household increase the likelihood of vulnerability, while higher education is also associated with increased risk. Male heads of households and urban areas are less likely to experience poverty vulnerability, while access to credit, savings, employment status, and non-cash food assistance can reduce the risk of poverty. Conclusion: The government needs to prioritize infrastructure development in vulnerable areas, such as East Lampung, Tanggamus, and South Lampung, to improve connectivity and public accessibility to basic services, in line with the Lampung Provincial Government's program to improve production efficiency and regional connectivity.

Socio-Economic Impacts of Energy Poverty on Households in Ikorodu Communities, Lagos State, Nigeria

The study investigated the Ikorodu community's energy poverty status by adopting the Multidimensional Energy Poverty Index to assess each sub-community, as it centers on energy poverty. The study used both quantitative and qualitative assessments of data obtained from primary and secondary sources. The primary data was sourced from a questionnaire administered to households while secondary data was sourced mostly from the National Bureau of Statistics’ Nigeria Living Standard Survey (NLSS) dataset. Additional secondary data was obtained from the Lagos State socio-economic data survey which included the Ikorodu subset. The result showed that about half (42%) of the community was energy-poor while more than half (58%) were energy-non-poor. The study revealed energy poverty has a huge impact on the economic development of the studied communities, as there was a positive and significant correlation between energy poverty and educational, health, and economic activities. More specifically, energy poverty reduces social inclusion, diminishes the education level of the residents of the communities, lessens the quality of life and healthcare, and discourages business activities and the establishment of new businesses in the area. Given these findings, the study emphasizes the need for government intervention and public awareness to increase access to electricity through renewable energy sources. Additionally, it recommends promoting- clean and cost-effective energy alternatives to address the pressing issue of energy poverty within the community.

Impact of Tourism on Poverty Reduction: Strategies to Achieve Sustainable Development Goals Through Local Community Participation

Objective: This article aims to examine the impact of the existence of tourist destinations on the welfare of households living around tourist locations in an effort to achieve the Sustainable Development Goals category ‘No Poverty (SDGS 1)’. Method: The data used is the results of the 2021 National Socioeconomic Survey (SUSENAS). The selected respondents are households in Sumenep Regency, Madura, Indonesia. The data analysis method used is Propensity Score Matching (PSM) to avoid bias. Of the approximately 3,000 selected respondents, 101 were identified as tourist respondents and 310 non-tourist households Results and Discussion: The results of different tests on expenditure variables and income per capita show that households in tourist areas are not more prosperous than other households with similar characteristics. It can be concluded that the existence of tourist destinations has not made a positive contribution to the welfare of the community around tourist destinations. Research Implications: This study has important implications. First, the development of a sustainable tourism sector has an impact on poverty reduction. Second, the significant impact of poverty reduction can improve the welfare of society in general. Originality/Value: The originality of this research is that the use of the propensity score matching method in tourism analysis is still limited. This is an initial research that uses the PSM method to analyze the impact of tourism on poverty.

Penggunaan Internet dan Peluang Berwirausaha di Indonesia

Currently, the internet has become a necessity in social and economic life that provides convenience in communication and social interaction. In addition, the presence of the internet supported by advances in digital technology is expected to provide business opportunities. Internet access has become easier with the increasing use of mobile phones/handphones. This study aims to see the effect of internet use on entrepreneurial opportunities in Indonesia through descriptive analysis methods and binary logistic regression. This research uses data from the 2019 National Socio-Economic Survey. Entrepreneurs in this study are limited to individuals who try to be assisted by permanent workers or paid workers in the age range of 25 to 44 years. Of the 348,735 samples that were the analysis units, 7,108 were entrepreneurs or around 2.04 percent. This study found that individuals who use the internet have a higher chance of becoming entrepreneurs than individuals who do not use the internet and this finding is statistically significant. In addition, the level of education significantly influences individuals to become entrepreneurs, but individuals with higher education have a lower tendency to become entrepreneurs than those with high school education or below. Keywords: Internet, Binary Logistic Regression, Entrepreneurship

Examining the impact of health insurance and socioeconomic factors on children’s hospitalization in Indonesia: an empirical analysis

ABSTRACT The purpose of this research is to examine the impact of different types of healthcare and insurance on the health of Indonesian youth. The study employs logistic regression, a statistical method used to analyze relationships between variables and predict outcomes. Data were collected through an Indonesia’s National Socio-Economic Survey, which gathers information from individuals within a household. The findings reveal that Indonesia’s National Health Insurance (with or without subsidies) reduces the likelihood of children being hospitalized. Families enrolled in the program, often from low- to middle-income backgrounds with limited access to healthcare, benefit significantly from this initiative, which provides affordable and essential health services. This program allows these families to access healthcare that would otherwise be unaffordable. However, private and employer-sponsored insurance did not reduce hospitalization rates, likely because families in these plans already benefit from better overall health, nutrition and access to health-promoting activities. In contrast, children without insurance are more likely to be hospitalized due to their location and economic and financial constraints. Other determinant factors affecting children’s health included age, sex, parent’s education, smoking behavior and house location. The results showed that older children were generally healthier, children of well-educated and non-smoking parents were less likely to be hospitalized and those living in urban areas had a higher likelihood of hospitalization than those in rural areas. This study highlights the importance of expanding access to health insurance and promoting parental education and non-smoking behavior to improve children’s overall health. Failing to address these issues could create challenges for the future, given that the current young generation will eventually become the nation’s leaders.

Digitalization of cotton farming in the municipality of Banikoara in Northwestern Benin

The widespread use of mobile telephony and the internet constitutes an asset for digitalization in the agricultural sectors in Africa. Cotton being the leading export crop in Benin, this study aims to understand the determinants of the adoption of digitalization (use of digital machines, membership of a social network for information exchange, use of a mobile money account) by cotton producers in the municipality of Banikoara. In this context, a socio-economic survey was carried out with a sample of 314 producers, obtained by purposive sampling. The binary logistic regression method made it possible to identify the factors affecting the adoption of digitalization. Thus, the level of banking, the use of labor, the area of cotton sown and knowledge of agricultural information and exchange platforms had a significant impact on the use of digital machines in agriculture. Membership of a social network for information exchange between producers was influenced by the level of banking, the type of cotton grown, the strengthening of relationships with others, the risk linked to the use of digitalization and the assessment of the level of security of digitization by the producers. Finally, the level of banking, the exercise of a secondary activity and the use of labor were the significant variables in the adoption of mobile money by cotton farmers in Banikoara. However, the use of more advanced technologies such as drones and sensors was not yet a reality for these producers. This information is very useful for any project to popularize and promote these new technologies in the modernization of agriculture.

Desempeño cognitivo y académico en escolares con antecedentes perinatales y vulnerabilidad social en un hospital público de la provincia de Buenos Aires

Cognitive Development (CD) and Academic Performance (AP) of children who presented perinatal and social vulnerability risk factors are a topic of interest in health and education. Therefore, the aim of this research is to characterize CD and AP of a population with these characteristics, which was accompanied by professional interventions from the transdisciplinary follow-up team.Information was collected from pediatric and psychopedagogical medical records of thirty patients. The WISC IV Intelligence test was used; school reports were requested, and a socio-economic level survey was administered, which included information regarding stimulating learning at home.Most of the children showed average levels in CD and good AP. Socio-environmental factors and received interventions associated with them were identified. Early transdisciplinary interventions (ETI), contextualized and long-term, are favorable for DC and DA. Consequently, they should be considered in follow-up programs for similar populations.

How does temperature affect rural income: Channels and implication of adaptation

AbstractThis paper examines the impact of daily temperature variations on rural income per capita and evaluates the effectiveness of adaptation based on China's county‐level socioeconomic statistics and household survey data. We find that high temperatures have significant negative effects on rural income per capita. Relative to the physically comfortable reference temperature between 10 and 15°C, an additional day with a daily average temperature above 30°C reduces the rural income per capita by 0.12% in the year. Evidence from micro‐data indicates that agricultural income of rural households is sensitive to high temperatures relative to other components of household income, such as wage income and transfer income, which leads to a reallocation of rural laborers across sectors. In addition, we indeed find some evidence of adaptation, but we conclude that the current adaptation pattern of rural households probably magnifies the threat of future climate change to China's agricultural sector.

Evaluation of Effects of Cotton Growing on the Environment and the Population in the Koutiala Circle

Since 1960, cotton cultivation has experienced considerable expansion in the Koutiala district of Mali. This expansion has not been without consequences on people’s health and natural resources in terms of soil, water and natural vegetation. Based on the analysis of satellite images and a socio-economic survey of production unit chiefs, this study highlights the degradation of soils, biological diversity, population health, and pollution of groundwater and surface water. To reduce these effects, the adoption of good agroecological practices, the organic cotton farming, the reduction of the use of chemicals, and the sustainable management of water and soil are becoming a necessity to ensure sustainable management of environmental resources and the preservation of the livelihoods of local producers.

RETROSPECTIVE ANALYSIS IN HYPOTHESIS TESTING TO EVALUATE INDONESIA'S GINI RATIO AFTER COVID-19 PANDEMIC

The study highlighted three essential roles of retrospective analysis in hypothesis testing, particularly as a priori analysis, post hoc analysis, and sensitivity analysis. These approaches were applied to the Gini ratio data sourced from the National Socioeconomic Survey Indonesia 2023 to examine the income inequality level in Indonesia. The sample size, statistical power, and effect size for the one-sample t-test are evaluated by aid G*Power software. The test results show that for a sample size of 10, at the 95% confidence interval, there is not enough evidence to show that the Gini ratio in 2023 is smaller than 0.4. A retrospective analysis using G*power software reveals that for a sample size of 20 at the same confidence interval, there is enough evidence to suggest that the Gini ratio is statistically significant at less than 0.4 with a power of analysis of 90.8% and an effect size of 0.76. This study has important implications in hypothesis testing, especially in retrospective analysis, since understanding the effect of sample size and effect size makes it possible for academics or practitioners to optimize hypothesis testing and generate more accurate and reliable test results.

Association of crop commercialization and rural households' multidimensional poverty using targeted maximum likelihood estimation

Recent evidence shows the highest prevalence of multidimensional poverty in the world. To alleviate poverty, Ethiopia is investing in stimulating agricultural commercialization for poverty reduction, driving sustainable economic growth, and creating jobs. Therefore, this study investigated the causal relationship between crop commercialization and multidimensional poverty across Ethiopian rural households using the Ethiopia Socioeconomic Survey 2018/19 data, which included 1129 crop commercialized and 1585 completely subsistence rural households. Moreover, this study also examined the causal effect of crop commercialization on the multidimensional poverty mediated by mobile phone ownership status. The study used the double robust method of the augmented inverse probability of treatment weighted (AIPTW) and targeted maximum likelihood estimation (TMLE) methods. The result showed that crop commercialization has an association with multidimensional poverty. Specifically, the TMLE with a default super learner model estimates were the most precise and suggest that the prevalence of risk of being multidimensionally poor among rural households who were crop commercialized is 12.2 % lower than for those who were completely subsistence households. Thus, it is important to have more robust policies like crop commercialization to target rural multidimensional poverty reduction. Moreover, the controlled direct effect estimation analyses showed that crop-commercialized rural households reduced the adjusted risk of multidimensional poverty by; 12 % for those who owned mobile phones and 7.8 % for those who did not. To ensure sustainable livelihoods for rural multidimensional poor households, it is necessary to have a multidisciplinary policy intervention to promote crop commercialization through the spread of mobile phones in rural areas.

Do healthy people migrate more? A 21-year follow-up of a rural cohort in Bangladesh

Demographers have long suspected that health influences whether a person migrates―a “healthy migrant effect” ―but this has rarely been tested for a longer period with high-quality, longitudinal data. This study aimed to assess which measures of health are associated with subsequent migrations among young adults from a rural community in Bangladesh, adjusted for socio-demographic characteristics, and how long these associations persist. The 1996 Matlab Health and Socioeconomic Survey (MHSS) characterized health (by self-reported chronic, and acute morbidity symptoms in the past 12 months and one month, respectively, and self-rated health status) of adults within the Matlab Health and Demographic Surveillance System (HDSS) cohort. Analyses included 3756 (M = 1,496, F = 2260) adults aged 18–34 years (the age when migration peaks) to study the effect of health on migration. Cox Proportional Hazards models were estimated to describe associations between health status and subsequent out-migration in 1996–2017, controlling for age, sex, education, religious affiliation, and household asset quintiles. Discrete-time logistic models were estimated to assess the sustained effects of health status measures on out-migrations. Results reveal that self-reported chronic morbidity, neither acute morbidity nor self-rated health status, inhibited subsequent migration. More reported chronic morbidity symptoms were associated with a lower migration (hazard ratio, HR = 0.82, CI = 0.74–0.92 for one symptom and HR = 0.73, CI = 0.63–0.84 for ≥2 symptoms relative to no symptoms). The differences diminished but persisted over time. Socio-demographic variables inhibiting migration were female sex, older age, and lower-level education. In conclusion, healthy young rural adults were more likely to migrate than their counterparts with symptoms of chronic morbidity, and the effect of chronic morbidity on subsequent migrations waned but not eliminated over time.

Clinical and Humanistic Burden of Non-inhibitor HaemophiliaA in Five European Countries: Insights from the CHESSII Study.

HaemophiliaA (HA) is a congenital bleeding disorder caused by a deficiency/absence of factorVIII (FVIII) and characterised by frequent, acute and prolonged spontaneous or traumatic bleeding events, often leading to haemophilic arthropathy and progressive joint deterioration. HA severity is characterized by endogenous FVIII activity: mild (> 5-40%), moderate (1-5%), or severe (< 1%). HA poses a substantial clinical and socioeconomic burden on people with HA (PWHA), their caregivers, and society. This analysis evaluates clinical and patient-centric outcomes of a cohort of individuals with non-inhibitor HA sampled from France, Germany, Italy, Spain, and the UK in the 'Cost of Haemophilia in Europe: A Socioeconomic Survey II' (CHESSII) study. CHESSII was a cross-sectional burden-of-illness study collecting clinical and socioeconomic data on adult (≥ 18years) individuals with haemophiliaA or B of any severity with or without inhibitors from eight European countries. Descriptive analyses were conducted examining physician-reported demographics, clinical and health resource utilisation information. PWHA-reported health-related quality of life (HRQoL) using the EQ-5D-5L and Work Productivity and Activity Impairment (WPAI) were also examined. Outcomes were stratified by HA severity and reported at country level. Demographics and clinical characteristics of the cohort (N = 880) were generally consistent across countries. Individuals with severe HA experienced more frequent bleeding events and joint disease despite broad use of factor replacement therapy long-term prophylaxis. A minority of those with mild or moderate HA also experienced such challenges. HRQoL and workforce participation diminished, and chronic pain increased, with increasing HA severity. This analysis provides up-to-date insights on the impact of HA across five European countries. Increasing HA severity was generally associated with worse clinical outcomes, HRQoL and workforce participation. These findings suggest a place for continued evidence-based tailored treatment and clinical management approaches in addressing the residual burden of HA.

Revisiting a decade of inequality in healthcare financial burden in Cambodia, 2009–19: trends, determinants and decomposition

BackgroundOut-of-pocket healthcare expenditure (OOPHE) without adequate social protection often translates to inequitable financial burden and utilization of services. Recent publications highlighted Cambodia’s progress towards Universal Health Coverage (UHC) with reduced incidence of catastrophic health expenditure (CHE) and improvements in its distribution. However, departing from standard CHE measurement methods suggests a different storyline on trends and inequality in the country.ObjectiveThis study revisits the distribution and impact of OOPHE and its financial burden from 2009–19, employing alternative socio-economic and economic shock metrics. It also identifies determinants of the financial burden and evaluates inequality-contributing and -mitigating factors from 2014–19, including coping mechanisms, free healthcare, and OOPHE financing sources.MethodsData from the Cambodian Socio-Economic Surveys of 2009, 2014, and 2019 were utilized. An alternative measure to CHE is proposed: Excessive financial burden (EFB). A household was considered under EFB when its OOPHE surpassed 10% or 25% of total consumption, excluding healthcare costs. A polychoric wealth index was used to rank households and measure EFB inequality using the Erreygers Concentration Index. Inequality shifts from 2014–19 were decomposed using the Recentered Influence Function regression followed by the Oaxaca-Blinder method. Determinants of financial burden levels were assessed through zero-inflated ordered logit regression.ResultsBetween 2009–19, EFB incidence increased from 10.95% to 17.92% at the 10% threshold, and from 4.41% to 7.29% at the 25% threshold. EFB was systematically concentrated among the poorest households, with inequality sharply rising over time, and nearly a quarter of the poorest households facing EFB at the 10% threshold. The main determinants of financial burden were geographic location, household size, age and education of household head, social health protection coverage, disease prevalence, hospitalization, and coping strategies. Urbanization, biased disease burdens, and preventive care were key in explaining the evolution of inequality.ConclusionMore efforts are needed to expand social protection, but monitoring those through standard measures such as CHE has masked inequality and the burden of the poor. The financial burden across the population has risen and become more unequal over the past decade despite expansion and improvements in social health protection schemes. Health Equity funds have, to some extent, mitigated inequality over time. However, their slow expansion and the reduced reliance on coping strategies to finance OOPHE could not outbalance inequality.

MITIGATION OF FOOD INSECURITY IN ETHIOPIA: PERSONAL, HOUSEHOLD, AND REGIONAL DETERMINANTS

Food insecurity has plagued Ethiopia for decades. The objective of this study is determining which personal attributes, household features, income-generating undertakings, and regional location change the food insecurity of Ethiopian households updating past studies. Furthermore, the study quantifies the probability changes in a household being food insecure in response to changes in personal attributes, household features, income-generating undertakings, and regional location. The data from the 2021/2022 Ethiopian Rural Socioeconomic Survey have been applied to estimate coefficients using the logit technique and calculate the effects of explanatory variables. Results show that being a male household head, education, having non-farm enterprise, and access to electricity lower the likelihood of a household being food insecure. In contrast, the likelihood of being food insecure has been associated with the region where a household was located, or dependence on raising livestock. The regional discrepancies have been substantial. Broadening access to education, stimulating non-farm enterprise, and promoting economic development while accounting for regional differences will reduce the risk of household food insecurity.

Evaluation of stakeholder knowledge and practices of water use management strategy: Observations from a questionnaire survey in Southern India

Freshwater resources remain unequally distributed in time and space around the world. Water resource frameworks should be designed, planned, and overseen in order to fully meet current and future social and economic objectives. The difficulties grow as the system gets bigger and more complex, with varying spatial distribution of water and insufficient resources, making water re-distribution more difficult. The current study fills such gaps by evaluating several factors influencing conjunctive management. In the current study, an effort has been made to compile the best data on water use, agricultural practises, socioeconomic status, and so on through field surveys in order to comprehend the reality on the ground. Additionally, investigations are being conducted into the causes and barriers that are most likely to have slowed the implementation of conjunctive use of available water resources. Two comprehensive socioeconomic surveys were conducted using the quantitative research methodology in a river basin in Southern India, and the results clearly show that stakeholders are unaware of the most effective agricultural water management techniques and the rationale behind modern irrigation systems. Over ninety-five percent of the total respondents were farmers, with only five percent having basic knowledge of watershed development and conjunctive use water management. The identified gaps and the inference made in the study are in the context of conjunctive water management of agricultural water. The current work may provide useful information on the baseline scenarios for upcoming agricultural water management plans, as well as a useful tool for achieving significant milestones in the agricultural sector. Furthermore, the prepared questionnaire and the data gathered for the study may also be helpful to decision-makers.

The responsiveness of rural poverty to structural and rural transformations in Ethiopia

AbstractThis study investigates the effects of economic opportunities created by structural transformation, such as income from labor employment and income from nonlabor sources, on the incidence, depth, and severity of rural poverty using the 2018/2019 Ethiopian Socioeconomic Survey data. The effects of rural transformations in terms of nonfarm self‐employment and improved farming systems on poverty are also investigated. Ordinary least square, Probit, Instrumental Variable Probit model, and two stage least square estimation methods are used depending on the nature of outcome variables and the Wald test of exogeneity. The findings show that labor income (especially regular salaried income) and nonlabor income (especially remittance from international sources) are crucial in reducing the incidence of rural poverty. Improvements in crop and livestock practices, on the other hand, reduce the incidence as well as depth and severity of rural poverty. The findings suggest that more attention should be given to enhancing the modernization of crop and livestock sectors by expanding access to farm credit and improved extension systems, among other things.

The Piped Water and Household Food Consumption: Evidence from Cambodia

&lt;p style="text-align: justify;"&gt;&lt;span style="font-family: 'times new roman', times, serif; font-size: 14pt;"&gt;This study analyses the effects of piped water on household food consumption per capita by adopting inverse-probability-weighted regression adjustment and endogenous treatment effects approaches with data from the Cambodia Socio-Economic Survey carried out in 2013 and 2017. A complementary analysis of the effects on primary household income per working-age member is also conducted to give insights into the potential consequences. The study also conducts a robustness check by estimating the fixed effects of piped water utilising village panel data. The results suggest that households using piped water are likely to enjoy higher food consumption per capita, with a complementary finding demonstrating that the use of piped water is likely to increase household income per working-age member.&lt;/span&gt;&lt;/p&gt;

Population Mobility and City Livability: An Empirical Study from Java Cities, Indonesia

Population mobility is one of the key factors contributing to the growth of the urban population. Consequently, cities encounter challenges related to livability, including limited access to basic services in education and healthcare, reduced safety, limited transportation accessibility, and affordability of recreational facilities. Literature on population mobility frames urban livability as a non-market good, thus requiring an approach to implicitly derive its value to quantify it into a city livability index. As quantitative research, this study aims to calculate the value of the city livability index and assess its impact on population mobility. We use secondary data, national socio-economic surveys and village potential published by the Central Bureau of Statistics. The findings of this study indicate that cities with high index values typically serve as capitals and hubs of government, commerce, industry, and services. Empirical findings found that livability substantially influences population mobility into cities, with basic services like education, healthcare, and public mass transportation playing pivotal roles. We recommend that city governments provide comprehensive and high-quality facilities to enhance the living experience for their residents.

Demographic and Socioeconomic Determinants Affecting Uses of the Internet in Indonesia

The digital divide in Indonesia is rather big. This study aims to investigate the demographic and socioeconomic determinants affecting the quantity of uses of the Internet in Indonesia. The data used are based on the National Socioeconomic Survey in 2021. The object of the analysis is population aged 15 years and above possessing at least one digital gadget. The dependent variable is the purpose of the Internet use. The independent variables included gender, age, number of household members, marital status, education, employment status, place of dwelling, island of residence, and number of types of digital gadgets owned. A binary logistic regression model was employed in the analysis. The results of the study indicate that a higher quantity of uses of the Internet is associated with a female sex, younger age, smaller number of household members, unmarried status, higher education, dwelling in urban areas, living in Java Island, and owning more than one type of digital gadgets. These findings suggest the need to improve access to the Internet among men, older people, ever-married individuals, rural dwellers, and Outer Java inhabitants, to promote family planning, to improve education and accessibility of more types of digital gadgets in order to bridge the digital divide and to boost the global competitiveness index 4.0 in Indonesia.