Social Capital of the Pujon Kidul Tourism Village Community in Facing the Covid-19 Pandemic
Bibliographic Data
| ID | 21216652 |
|---|---|
| Authors | Pradnya PARAMITHA DEWI (University of Brawijaya), Gunawan Prayitno (0000-0003-4534-9524, University of Brawijaya), Dian Dinanti (University of Brawijaya) |
| Year | 2021 |
| Volume | 38 |
| Issue | 4 |
| Pages | 1239-1246 |
| Publication date | 2021-12-31 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | GeoJournal of Tourism and Geosites (JOURNAL) |
| Journal identifiers | ISSN: 2065-0817 • E-ISSN: 2065-1198 |
| Publisher | Asociatia de Geografie, Turism si Sport (PUBLISHER) |
| DOI | 10.30892/gtg.38431-765 |
| OpenAlex | W4200073269 |
| Language | EN |
| Citations received | 5 |
| References cited | 7 |
The purpose of this study is to analyze the factors and variables that have the most influence on the formation of social capital, analyze the relationship between variables, and describe the condition of community social capital in the face of the Covid-19 pandemic. There are three social capital variables used, including trust, social norms, and social networks. Confirmatory Factor Analysis (CFA), Structural Equation Modeling (SEM), and a literature review were used in this study. The CFA results show that community social capital is formed from 9 factors, where the most influential variable is the trust variable with a value of 0.81 or 66.3%. The results of the SEM analysis show that the relationship of social capital is described through the trust variable, which directly influences social networks and social norms, which will then also affect social networks. Based on the community's social capital and its willingness to collaborate in the fight against the Covid-19 pandemic, we can conclude that the programs developed by the community and the government to combat the Covid-19 outbreak will go off without a hitch
Business · Demographic economics · Economics · Pandemic · Political science · Social capital · Social science · Socioeconomics · Sociology · Statistics · Structural equation modeling · Tourism · COVID-19 Prevention and Impact · Mental Health and Well-being · SMEs Development and Digital Marketing
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| Unique citing works | 5 |
|---|---|
| Citations per year | 1,25 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 5 |