High Poverty Rates Research Articles

Improving community welfare through Non-Cash Food Support Programs in Jeneponto Regency, South Sulawesi, Indonesia

To improve people’s welfare, policies are needed that can help people get above the poverty line. This study aims to describe how the implementation of the Non-Cash Food Assistance Program can improve the welfare of the people in Jeneponto Regency. This study uses a qualitative research design. Data collection techniques are through observation, in-depth interviews, and documentation. The results of the study show that the Non-Cash Assistance Program in Jeneponto Regency can improve people’s welfare which is marked by a decrease in the percentage of the poverty rate from 14.28 percent in 2021, down in 2022 to 13.73 percent. This decrease in the percentage of the poverty rate has made Jeneponto Regency no longer the Regency with the highest poverty rate in South Sulawesi Province. For services, it was found that e-warongs serving the community had low competence, which affected the quality of food sold by e-warongs to beneficiary families. This study concludes, improvement is needed in determining the target group by setting strict criteria for prospective program recipients, and it is necessary to have a cluster for each category, so that the formulation is also adjusted based on needs. Determination of providers must apply a competition system, so that the quality of basic ingredients is maintained at affordable prices.

Implementasi Peraturan Bupati Nomor 47 Tahun 2021 tentang Santunan Kematian Bagi Masyarakat Miskin di Kabupaten Bojonegoro


 Indonesia is one of the developing countries with a fairly high poverty problem. In this problem, the government solves the main problem, namely poverty in the form of policy programs to meet the needs for the welfare of the community. With the high poverty rate, the Bojonegoro Regency Government provides a program as a sense of government concern for the people of Bojonegoro. This program is intended as a manifestation of the responsibility of local governments to improve community welfare equally. The purpose of this study is to determine the extent of the implementation of the death benefit program in Bojonegoro Regency. This research uses a qualitative approach, where the data obtained comes from interviews, observations and documentation as the main source, while secondary data comes from relevant books and scientific articles.The result of this study is that the implementation of the death benefit program is still not fully running optimally. There are implications, especially in terms of socialization and changes in the system to online implementation of the program.
 Keywords: Policy Implementation, Poverty, Social Security Death

The Role of Bhabinkamtibmas for The Sustainable Development Goals (SDGs) In Indonesian

In order to raise awareness about the Sustainable Development Goals (SDGs) in Indonesia, the government needs support to achieve the 2030 vision. One form of support is increased security by the National Police, especially for members of Bhabinkamtibmas. This effort aims to facilitate the realization of 17 global Sustainable Development Goals (SDGs) and a target of 3,169 by 2030. This study used the literature review method. Data collection techniques are carried out by exploring journals and other information relevant to the study. The results showed that there are several influential roles of Bhabinkamtibmas in providing a sense of security to community members against high crime as a result of the high poverty rate in Indonesia. In addition, strengthening the role and function of Bhabinkamtibmas in realizing SDGs in Indonesia is determined by the large level of public awareness of the importance of order in the local environment. The next research that can be done is that researchers can conduct a literature review to examine the role of state security devices in participating in the other 17 pillars of SDGs, and researchers can conduct research with field research methods to get more comprehensive results.

A Bayesian multilevel analysis exploring population-level effects mediating the relationship between area-level poverty and community-acquired Methicillin-resistant Staphylococcus aureus (CA-MRSA) infection across California communities.

Poverty is an often-cited driver of health disparities, and associations between poverty and community-acquired Methicillin-resistant Staphylococcus aureus (CA-MRSA) infection are well documented. However, the pathways through which poverty influences infection have not been thoroughly examined. This project aims to identify mediating variables, or mechanisms, explaining why area-level poverty is associated with CA-MRSA infection in Californians. Bayesian multilevel models accounting for spatial confounding were developed to test whether the association between area-level poverty and CA-MRSA infection is mediated by living in a primary care shortage area (HCSA), living near an adult correctional facility, and residential environmental degradation. The association between area-level poverty and CA-MRSA infection can be partially explained by spatial autocorrelation, living in an HCSA, and environmental degradation in the neighborhood. Combined, the mediators explain approximately 6% of the odds of CA-MRSA infection for individuals living in neighborhoods with high poverty rates and 50% of the statistical association between area-level poverty and CA-MRSA infection. The statistical association between area-level poverty and infection was completely explained by the mediators for individuals living in neighborhoods with low poverty rates.

The Long-Run Effects of the 1930s Redlining Maps on Children

We estimate the long-run effects of the 1930s Home Owners Loan Corporation (HOLC) redlining maps by linking children in the full count 1940 census to 1) the universe of Internal Revenue Service (IRS) tax data in 1974 and 1979 and 2) the long form 2000 census. We use two identification strategies to estimate the potential long-run effects of differential access to credit along HOLC boundaries. The first strategy compares cross-boundary differences along HOLC boundaries to a comparison group of boundaries that had statistically similar preexisting differences as the actual boundaries. A second approach only uses boundaries that were least likely to have been chosen by the HOLC based on our statistical model. We find that children living on the lower-graded side of HOLC boundaries had significantly lower levels of educational attainment, reduced income in adulthood, and lived in neighborhoods during adulthood characterized by lower educational attainment, higher poverty rates, and higher rates of single-parent households. (JEL G21, I26, I32, J13, N32, R23, R31)

The Experiences of Children on Sri Lanka's Tea Plantations: Labor and Sexual Exploitation, Violence, and Inadequate Education

This article explores the difficulties faced by children living in Sri Lanka’s tea plantation areas. Data from 150 children reveal high rates of poverty, violence, and school dropout. Children in tea plantation schools report bullying and stigma from teachers and students. Many children do not envision completing school due to inadequate resources, family income pressures, and the need to work. Children who drop out of school face abusive labor conditions and poor pay. Over 30% of all children report experiencing sexual abuse, often in their own homes. Those working face discrimination, physical abuse, and wage theft. Initiatives are needed to improve family incomes, reform schools, provide affordable childcare, enforce child labor laws, and raise awareness of safety and rights. Governmental financial support is required to improve housing, expand agriculture production to generate family income for schooling expenses, and provide training for teachers. Government interventions and creating coordination between agencies, NGOs, and tea industry stakeholders are vital to alleviate the hardships faced by Sri Lanka’s tea plantation children and create opportunities for them to realize their full potential.

Longitudinal Spatial Trends in U.S. Pedestrian Fatalities, 1999–2020

The number of pedestrian deaths from motor vehicle crashes in the U.S. has risen 59% since 2009. Several studies have researched crash characteristics—such as the people, vehicles, and roadways involved—when examining this sharp increase. But where are these fatalities occurring and what spatial characteristics of these locations could be influencing this trend? We looked at pedestrian fatality data from the National Highway Traffic Safety Administration’s Fatality Analysis Reporting System and socioeconomic, demographic, and built environment data from the U.S. Census and the U.S. Environmental Protection Agency’s Smart Location Database for the study period of 1999–2020. After inputting the data into QGIS, we made graphs with 95% confidence intervals to analyze longitudinal trends in crash location characteristics and created heat maps of pedestrian fatality locations in nine large U.S. cities to compare clustering in the beginning of the study period (1999–2002) with clustering at the end (2017–2020). The results of this study indicate that pedestrian fatalities are moving away from downtown areas (with a 63.0% decrease in study cities’ downtowns) and are now happening more in suburbs (a 32.1% increase outside downtowns). Many of these suburbs are post-war suburbs that were built in the 1950s, 1960s, and 1970s and have low population and road densities and low levels of pedestrian commuting. Additionally, these fatalities are happening in neighborhoods with high proportions of minority residents, low educational attainment, and high poverty rates that are more than 60% above the national average.

Neighborhood Poverty Prospectively Predicts PTSD Symptoms Six-Months Following Trauma Exposure.

Individuals living in areas with high rates of poverty are disproportionately affected by posttraumatic stress disorder (PTSD). Despite this association, little is known about how neighborhood poverty rates impact risk for PTSD development. In the current prospective study, we determined the relationship between neighborhood poverty rate and PTSD symptoms six-months after experiencing a traumatic event in a sample of varied race, gender, and socioeconomic status. Participants (N=252) were enrolled in a hospital emergency department after experiencing a traumatic event. Demographic information (including zip code of residence), baseline PTSD symptoms, and baseline trauma history was assessed in the emergency department. PTSD symptoms were again assessed six-months post-trauma. Neighborhood poverty rate was determined using the American Community Survey. Correlation analyses revealed that neighborhood poverty was significantly associated with baseline PTSD symptoms (r=.181, p=.004) and PTSD symptoms six-months post-trauma (r=.163, p=.009). A regression analysis controlling for baseline trauma exposure, clinician-rated trauma severity, and individual socioeconomic status demonstrated that neighborhood poverty predicted PTSD symptoms six-months post-trauma (R2= 0.099, B= 0.15, p=0.04), but this relationship was no longer significant when baseline PTSD symptoms was added as an additional covariate (R2=.304, B= 0.07, p>0.05). Overall, results suggest that neighborhood poverty generally increases PTSD symptom severity, and the context in which an individual lives should be considered when conceptualizing risk for PTSD.

When Marriage Ends: Differences in Affluence and Poverty Among Older Adults in Israel

Studies show that the economic benefits of marriage carry over into old age and that widowhood and divorce have detrimental economic consequences, especially for women. This study asks how affluence and poverty are affected by the timing of widowhood and divorce and tests whether they operate in symmetry. The study draws on Israel’s annual Social Survey from multiple years (2013–2017), conducted by Israel’s Central Bureau of Statistics. The sample is limited to older individuals, aged 55+ (n = 4824 men, 5643 women). The findings show that married people are less likely to be poor than unmarried people, but they are not always more likely to be affluent. Widowed men and women, and divorced men are more likely to achieve affluence than continuously married couples. The explanation may be that, in the Israeli context, the widowed tend to inherit benefits accumulated by their late spouse, whereas the divorced tend to divide resources when the marriage dissolves. Women incur higher and longer-term penalties for their change in marital status than do men, so that previously married women tend to have higher rates of poverty and lower rates of affluence than previously married men. The findings show that affluence and poverty do not operate in symmetry and that affluence does not simply mirror poverty, especially among men. For example, early widowed and late divorced men have higher odds of both poverty and affluence than married men. These findings demonstrate that poverty and affluence operate differently and examining both leads to new insights.

Design of electrical lines with the DLTCAD software and the improvement in the times of installation processes of electrical lines of antennas in rural areas

This work aims to present the design of power lines with the DLTCAD software and the improvement in the process times for the installation of power lines for antennas in rural areas. Currently in rural areas of Peru the telecommunications service is limited and scarce, with 68.6% access to "Mobile Telephony" and 68.7% access to "Internet" (Source: ERESTEL "Residential Survey of Telecommunications Services", 2021, OSIPTEL), hence the importance of having antennas in rural areas, necessary to provide the telecommunications service to: schools, hospitals, police stations, municipalities, others, and to be able to begin to gradually close the digital gap in our country. DLTCAD is a Peruvian software and one of the best in the world in the calculation and design of power lines. The antennas located in rural areas require electricity for the proper functioning of their equipment, and to be able to operate and radiate the telecommunications service for the benefit of the most needy population with high rates of extreme poverty that do not have basic services such as: water , light and even more so in telecommunications, hence the importance of installing antenna power lines in rural areas, and the importance of designing these power lines with the use of an electrical design tool or software.

Edukasi Untuk Mencegah Penyakit Tuberculosis (TBC) Di Kalangan Masyarakat Banjarsengon Kecamatan Patrang, Jember, Jawa Timur

Tuberculosis (TB) is still a major global health problem and is spreading all over the world, including in Indonesia. In recent years, the incidence of TB in Indonesia has continued to increase. Data in East Java also shows that TB is increasing at any time and one of the largest is in Jember. This is caused by various factors, such as the lack of public knowledge about TB, high poverty rates, and lack of access to health services. Therefore, efforts are needed to increase public knowledge about TB and how to prevent its spread. The aim of this program is to provide education related to TB disease prevention among the people of Banjarsengon, Patrang District, Jember, East Java. The target of this program is the general public who are at risk of contracting TB, such as migrant workers, farmers and informal workers. The method used is presentation using actual references and socialization. Socialization can be done through various media, such as leaflets distributed to participants. The socialization material presented included an explanation of TB symptoms, ways of transmission, ways of prevention, and access to health services. Apart from that, educational media is also made, which can be in the form of short videos as an illustration for the participants of this education for prevention and early detection. With increasing public knowledge, it is hoped that it can reduce the incidence of TB among the community in Banjarsengon

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Purpose: As one of the world's most populous countries, Indonesia is struggling with the composition of its people, the majority of whom are unemployed productive-age individuals with low education levels. Another issue is the high poverty rate, which is followed by issues of gender inequality. The government cannot solve these social issues on its own. There is a need for community support to solve these problems through sustainable social entrepreneurship activities. Theoretical framework: Studying the factors that affect the intention to engage in social entrepreneurial activities is an important aspect of SE theoretical development (Yu et al., 2021). Thus, the study of what factors influence an individual's Social Entrepreneurial Intention (SEI) is still in its early stages, particularly in developing countries such as Indonesia, where the SE level is much lower than in developed countries. This study integrates the Theory of Planned Behavior with Outcome Expectation to determine the factors that influence the interest of the Z and Millennial generation in becoming social entrepreneurs. The outcome expectation variable was added because previous research has indicated that outcome expectations are crucial when making career decisions (Lent et al., 2002) and that people must believe that social entrepreneurship is an appropriate method to address social problems when compared to other options before deciding to build a social enterprise. Design/methodology/approach: This study applied a quantitative approach with a judgmental sampling technique to a sample of Generation Z and Millennials who have ever participated in social activities but have not yet started their own business. The study gathered 210 respondents, who were then analyzed using the PLS-SEM method with multiple group analysis generation-based comparison. Findings: According to the findings, the Millennial Generation's Attitude Toward Behavior, Subjective Norms, Perceived Behavioral Control and Outcome Expectation, all had a positive impact on Social Entrepreneurial Intention. Meanwhile, Subjective Norms had no effect on Social Entrepreneurial Intention in the Z Generation. Only attitude toward behavior, perceived behavioral control, and outcome expectation have a positive effect on the development of social entrepreneurial intentions. Furthermore, the findings of this study confirm that subjective norms influence attitude toward behavior and Perceived Behavioral Control in both Generation Z and millennials (generation Y) sample. Research, Practical & Social implications: The results of this research can be used by stakeholders to formulate policies and programs that can encourage the creation of social entrepreneurial intentions among Generation Z and Generation Y because they have different needs and motivations for pursuing career aspirations as sociopreneurs. Originality/value: The results of this research contribute to the enrichment of the study of social entrepreneurial intention, which currently attracts many scholars because of the economic and social impact it produces. Moreover, the study was conducted on samples of Generation Z and Generation Y in Indonesia, something that was rarely done in previous research in the Social Entrepreneurial Intention study.

Determinants of Livelihood Diversification Amongst Rural Households in Tanzania

The rural economic setup in developing countries is customarily dominated by primaryproduction activities, mostly in the agriculture sector. While rural areas have beenshown to experience high poverty rates, livelihood diversification is recommended as ameasure to help reduce poverty. This is can be done by bolstering household incomeportfolio through supplementing nonfarm income, than solely depending income fromagriculture activities. This paper observes determinants of rural livelihooddiversification using the extended panel data of the Tanzania National Panel Survey.Two measures represent livelihood diversity in the study: number of livelihood activitieshousehold engage in, and household share income spread. The Panel Poisson and Tobitmodels are used to estimate the determinants of livelihood diversity. General factorsinfluencing diversity include household wealth, experiences to shock (drought/floods,fall in prices of crops), and household demographic characters (number of working ageindividuals and age of household head). An analysis of the determinants by wealthstatus indicates less wealthy and wealthy households diversify the most with respect toassets they possess, while access to finances gives contrasting results depending onsources of finance. Policy implication relate to promoting policies that support sustainedasset accumulation, increasing access to rural financing, and establishing safety netprograms that minimize risks associated with shocks.

Effects of Child Tax Benefits on Poverty and Labor Supply: Evidence from the Canada Child Benefit and Universal Child Care Benefit

We investigate whether child tax benefits reduce child poverty and labor force participation among single mothers within the context of the 2015 expansion of the Canadian Universal Child Care Benefit (UCCB) and the 2016 introduction of the Canada Child Benefit (CCB). We compare single mothers to single childless women as single mothers have historically had the highest poverty rates. Our analysis indicates that both reforms reduced child poverty, although the Canada Child Benefit had the greater effect. We find no evidence of a labor supply response to either of the program reforms on either the extensive or intensive margins.

Analysis of the Income Enhancement Potential of the Terrestrial Carbon Sink in China Based on Remotely Sensed Data

A key focus of international climate action is achieving a terrestrial carbon sink within the framework of carbon neutrality. For certain regions with vital ecological functions and high poverty rates, the generation of surplus ecological carbon income is crucial for mitigating global inequality. While the evaluation of the economic benefits of carbon income still faces limitations in terms of inadequacy and inaccuracy, enhancing green carbon poverty alleviation schemes is urgently needed. This project introduces an analysis framework for assessing the land-based ecological carbon sink and poverty alleviation potential based on a per capita ideal carbon sink income evaluation, which compares the regional economic benefits of a carbon sink under different carbon price benchmarks and explores tailored green poverty alleviation strategies. It indicates that the per capita ideal carbon sink income in China exhibits a seasonal variation, ranging from approximately USD 16.50 to USD 261.41 per person per month on average. Its spatial distribution shows a pattern of lower values in the central region and higher values in the north and south, following a “high differentiation, low clustering” distribution pattern. The per capita carbon sink income can reach 30% to 70% of the per capita GDP, with a peak value of USD 19,138.10 per year, meeting the minimum livelihood guarantee for the needs in economically underdeveloped areas. Simultaneously, the per capita carbon sequestration income within the Chinese carbon market is expected to demonstrate a yearly ascending trajectory, with an approximate growth rate of USD 23.6 per individual annually. The southwest, northeast, and north China regions can be prioritized as key areas for carbon market development, facilitating more comprehensive inter-regional and sustainable carbon trading. This study plays a significant role in disclosing the regional ecological function and economic benefits, promoting the use of “carbon neutrality” as a driving force to alleviate global inequality and contributing to global climate action and poverty eradication strategies.

Analysis Of Factors Affecting The Percentage Of Poverty In West Kalimantan With Panel Data Regression

Indonesia has a high poverty rate, which is evidenced by the annual increase in the percentage of people living in poverty. This happens because the components of high life expectancy, as well as the higher level of education, Reducing the poverty rate is closely related to improving the welfare of the community. This has a significant impact on the overall well-being of the community. Therefore, this study aims to determine the best panel data regression model of Life Expectancy and Expected Years of Schooling on the percentage of poor people. The three model approaches tested are Common Effect Model (CEM), Fixed Effect Model (FEM), and Random Effect Model (REM). Based on the estimation of panel data regression parameters, it was found that the best model approach to analyze the poverty rate in West Kalimantan in 2018-2022 is the FEM. The F test showed that the result is 0.00 < 0.05. Which means that the Life Expectancy and Expected Years of Schooling variables have a significant influence on poverty rate. the Life Expectancy and Expected Years of Schooling were found to be the variables that influence poverty rate in West Kalimantan, with an adjusted value of 98,89%.

Effect of Credit Terms on Financial Inclusion Among Self-help Group Financing in Informal Settlements in Kenya: A Case Study of Kibera Slum

Financial inclusion is a vital element of growth in any economy. It has led to the economic growth of 15 OECD and 50 non-OECD countries. Despite its relevance, the optimal rates of financial inclusion in Kenya have not been achieved. The wide gap between financial inclusion among the lowest wealth quintile at 12.67% in comparison to the rates of financial inclusion of the highest wealth quintile at 76.4% in 2021 is a huge cause of concern. Lower rates of financial inclusion among the less privileged have translated to high poverty rates, lower living standards and hampered economic growth. The main objective of this study was to determine the effect of credit terms on financial inclusion among self-help group financing in informal settlements in Kenya, a case study of Kibera slum. The study was founded on the demand theory and the rational choice theory, to bring to light the relationship between credit terms and financial inclusion in informal settlements in Kenya. A descriptive research design was used and the 237 registered self-help groups in Kibera slum formed the population of the study and were studied in their entirety. The data was collected using a questionnaire and analysed using SPSSv25 then presented in form of tables and figures. Descriptive statistics was performed using frequencies, percentages, means and standard deviations. Inferential statistics was conducted using the regression model to test the hypotheses of the study. The study established that credit terms had a positive significant effect on financial inclusion among self-help group financing in informal settlements in Kenya. According to the leaders of the self-help groups, the more favourable the credit terms offered in self-help groups, the wider the adoption of financial services by the members of the self-help groups. This study therefore recommends that financial service providers should offer financial services with credit terms tailored to suit the needs of their target market to increase affordability of financial services, thereby increasing financial inclusion.

Heterogeneous gender gaps in mental wellbeing: Do women with low economic status face the biggest gender gaps?

Gender differences in depression are globally documented across a wide range of studies that analyse self-reports of depressive symptoms or clinical diagnoses. Extensive research fails to identify any single reason for this finding but given systematic variation in depressive symptomatology across social groups, gender differences must derive at least partly from environmental or social factors. Among the social factors that are considered most important are those relating to gender differences in socio-economic status and the underlying gender division of labor. In this study, we add to existing research by interrogating heterogeneity in gender differences in mental health. Studies that investigate environmental factors typically consider these only in relation to the average gender gap in depression. We use a novel sorting and classification method (Chernozhukov et al., 2018) that makes it possible to map the full distribution of gender differences in depressive symptomatology among comparable women and men. Although we cannot attribute causality, the method allows us to isolate those social factors that are distinctive to women who experience the largest gender gap in depressive symptoms compared to those who exhibit the smallest. The study analyses detailed nationally representative micro-data from South Africa, a country with high rates of poverty, which are higher still among women. As is common elsewhere, women report significantly more depressive symptoms than men, and low socio-economic status is correlated with poor mental health. However, women with low socio-economic status are not relatively more concentrated among women who face the largest gender gap in depressive symptomatology. These findings would not be consistent with the hypothesis that women have a greater tendency than men to ruminate over economic hardship and could rather point to resilience and a “steeling effect” among poor women.

Analysis of Interest in Becoming Social Entrepreneurs Among the Millennials and Z Generation Using the Theory of Planned Behavior and Outcome Expectation: A Multigroup Analysis Approach

Purpose: As one of the world's most populous countries, Indonesia is struggling with the composition of its people, the majority of whom are unemployed productive-age individuals with low education levels. Another issue is the high poverty rate, which is followed by issues of gender inequality. The government cannot solve these social issues on its own. There is a need for community support to solve these problems through sustainable social entrepreneurship activities.
 
 Theoretical framework: Studying the factors that affect the intention to engage in social entrepreneurial activities is an important aspect of SE theoretical development (Yu et al., 2021). Thus, the study of what factors influence an individual's Social Entrepreneurial Intention (SEI) is still in its early stages, particularly in developing countries such as Indonesia, where the SE level is much lower than in developed countries. This study integrates the Theory of Planned Behavior with Outcome Expectation to determine the factors that influence the interest of the Z and Millennial generation in becoming social entrepreneurs. The outcome expectation variable was added because previous research has indicated that outcome expectations are crucial when making career decisions (Lent et al., 2002) and that people must believe that social entrepreneurship is an appropriate method to address social problems when compared to other options before deciding to build a social enterprise.
 
 Design/methodology/approach: This study applied a quantitative approach with a judgmental sampling technique to a sample of Generation Z and Millennials who have ever participated in social activities but have not yet started their own business. The study gathered 210 respondents, who were then analyzed using the PLS-SEM method with multiple group analysis generation-based comparison.
 
 Findings: According to the findings, the Millennial Generation's Attitude Toward Behavior, Subjective Norms, Perceived Behavioral Control and Outcome Expectation, all had a positive impact on Social Entrepreneurial Intention. Meanwhile, Subjective Norms had no effect on Social Entrepreneurial Intention in the Z Generation. Only attitude toward behavior, perceived behavioral control, and outcome expectation have a positive effect on the development of social entrepreneurial intentions. Furthermore, the findings of this study confirm that subjective norms influence attitude toward behavior and Perceived Behavioral Control in both Generation Z and millennials (generation Y) sample.
 Research, Practical & Social implications: The results of this research can be used by stakeholders to formulate policies and programs that can encourage the creation of social entrepreneurial intentions among Generation Z and Generation Y because they have different needs and motivations for pursuing career aspirations as sociopreneurs.
 
 Originality/value: The results of this research contribute to the enrichment of the study of social entrepreneurial intention, which currently attracts many scholars because of the economic and social impact it produces. Moreover, the study was conducted on samples of Generation Z and Generation Y in Indonesia, something that was rarely done in previous research in the Social Entrepreneurial Intention study.

SUSTAINABLE SMART SOCIAL ENTREPRENEURSHIP BY CATWOE MODEL IN GUNUNG KIDUL, CENTRAL JAVA

Increasing the economy in Gunung Kidul can be encouraged by utilizing the potential resources in the area. However, with the limitations of the community managing these resources, the economy in Gunung Kidul is still not optimal. It makes the district with the second highest poverty rate in the Province of DIY. The economic problems faced by the people of Gunung Kidul can be overcome by using a social approach. This can be developed and used as an opportunity for the local community to improve their welfare. Therefore, this study aims to develop sustainable social entrepreneurship (sustainable smart social entrepreneurship) that can be instilled in the Gunung Kidul area and have a positive economic impact on the local community. This research method uses three stages, namely problem formulation, data collection, and data analysis. Data collection was taken from literature studies, distributing questionnaires, and Focus Group Discussions (FGD) in the Gunung Kidul area. Furthermore, the data that has been collected will be mapped using CATWOE, so that we can see the causal relationships that occur. It is hoped that it can show the influence of the variables that have an impact on social entrepreneurship that is sustainable and can be invested in the Gunung Kidul area as optimally as possible.