Dataset Information

Community extension MSME's entrepreneurial activities in relation to poverty reduction.

ABSTRACT:

Introduction

Higher Education Institutions play a role in poverty reduction by implementing community extension programs focusing on capacity building and entrepreneurship training. Cebu Technological University programs offer these programs through various skills training to its targeted beneficiaries. This study aims to assess the community extension Micro-, Small and Medium-sized Enterprises (MSMEs) entrepreneurial activities concerning poverty reduction. The research participants are beneficiaries of community extension programs that primarily focus on capacity building and entrepreneurship training, and they eventually become entrepreneurs.

Method

Using a cross-sectional survey, 172 valid responses were analyzed, with entrepreneurship education (EE), budgeting financial literacy (BFL), access to credit facilities (ACF), and entrepreneurial performance (EP) as predictors of poverty reduction (PR). Results from Partial Least Squares - Structural Equation Modeling (PLS-SEM) generate insights from the seven hypothesized paths of the proposed model.

Results and discussion

Findings revealed that entrepreneurship education (β = 0.258, p < 0.05), budgeting financial literacy (β = 0.147, p < 0.05), and access to credit facilities (β = 0.541, p < 0.001) help reduce poverty. However, no significant relationship was found between entrepreneurial performance and poverty reduction (β = 0.132, ns) whose cause may be directly pointed to the pandemic's significant impact on MSME's entrepreneurial activities.

Conclusion

This study confirms the importance of entrepreneurship education, budgeting, financial literacy, and credit access in promoting entrepreneurial success and reducing poverty.

SUBMITTER: Valle L

PROVIDER: S-EPMC9742551 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

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Publications

Community extension MSME's entrepreneurial activities in relation to poverty reduction.

Valle Lislee L Costan Emily E Costan Felix F General Edralin E Alcantara Gerly G Kilat Ronnel Victor RV Batican Ivy I Olivar Gladies Mae GM Avila Denilin D

Frontiers in sociology 20221128

<h4>Introduction</h4>Higher Education Institutions play a role in poverty reduction by implementing community extension programs focusing on capacity building and entrepreneurship training. Cebu Technological University programs offer these programs through various skills training to its targeted beneficiaries. This study aims to assess the community extension Micro-, Small and Medium-sized Enterprises (MSMEs) entrepreneurial activities concerning poverty reduction. The research participants are ...[more]

PMID: 36518151

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Project description:BackgroundCommunities That HEAL (CTH) is a novel, data-driven community-engaged intervention designed to reduce opioid overdose deaths by increasing community engagement, adoption of an integrated set of evidence-based practices, and delivering a communications campaign across healthcare, behavioral-health, criminal-legal, and other community-based settings. The implementation of such a complex initiative requires up-front investments of time and other expenditures (i.e., start-up costs). Despite the importance of these start-up costs in investment decisions to stakeholders, they are typically excluded from cost-effectiveness analyses. The objective of this study is to report a detailed analysis of CTH start-up costs pre-intervention implementation and to describe the relevance of these data for stakeholders to determine implementation feasibility.MethodsThis study is guided by the community perspective, reflecting the investments that a real-world community would need to incur to implement the CTH intervention. We adopted an activity-based costing approach, in which resources related to hiring, training, purchasing, and community dashboard creation were identified through macro- and micro-costing techniques from 34 communities with high rates of fatal opioid overdoses, across four states-Kentucky, Massachusetts, New York, and Ohio. Resources were identified and assigned a unit cost using administrative and semi-structured-interview data. All cost estimates were reported in 2019 dollars.ResultsState-level average and median start-up cost (representing 8-10 communities per state) were $268,657 and $175,683, respectively. Hiring and training represented 40%, equipment and infrastructure costs represented 24%, and dashboard creation represented 36% of the total average start-up cost. Comparatively, hiring and training represented 49%, purchasing costs represented 18%, and dashboard creation represented 34% of the total median start-up cost.ConclusionWe identified three distinct CTH hiring models that affected start-up costs: hospital-academic (Massachusetts), university-academic (Kentucky and Ohio), and community-leveraged (New York). Hiring, training, and purchasing start-up costs were lowest in New York due to existing local infrastructure. Community-based implementation similar to the New York model may have lower start-up costs due to leveraging of existing infrastructure, relationships, and support from local health departments.

Dataset Information

Community extension MSME's entrepreneurial activities in relation to poverty reduction.

Introduction

Method

Results and discussion

Conclusion

Publications

Community extension MSME's entrepreneurial activities in relation to poverty reduction.

Similar Datasets

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