1Putu Krisna Adwitya Sanjaya, 2Ni Kadek Eka Jayanthi, 3Ni Luh Mas Aprilia Pradnyani, 4Ni Kadek Anggita Dwi Cahyani
1,2,3,4Faculty of Economic and Business, Udayana University, Indonesia
DOI : https://doi.org/10.47191/ijmra/v7-i10-16Google Scholar Download Pdf
ABSTRACT:
The high potential of fishery resources owned by Tanjung Benoa Village is a positive thing and can be a good source of income for the community. However, the fact is that this potential has not been able to provide the expected welfare. The purpose of this study is to analyze 1) The simultaneous effect of income, family consumption, and technology on the welfare of fishing families; 2) Partial effect of income, family consumption, and technology on the welfare of fishing families; 3) Variables that have a dominant effect on the welfare of fishing families in Tanjung Benoa Village. This research uses an associative quantitative approach. The type of data used primary data with a population of 140 fishermen in Tanjung Benoa Village. Data analysis techniques included descriptive statistics and multiple linear regression analysis using Stata software. The results of the analysis showed that: 1) income, family consumption, and technology have a significant effect simultaneously on the welfare of fishing families; 2) income, family consumption, and technology have a significant effect partially on the welfare of fishing families; 3) the technology variable is the dominant variable affecting the welfare of fishing families. Technology variable is the variable that has a dominant effect on the welfare of fishing families in Tanjung Benoa Village. Based on the results of the study, it is expected that the fishing community is expected to pay attention to the technology variables used in helping the process of catching seafood owned in order to increase their income so as to be able to generate a general level of welfare.
KEYWORDS:Income, Family Consumption, Technology, Welfare
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11) Lein, A. A. R., & Setiawina, N. D. (2018). Factors affecting the fishermen household income and welfare. International Research Journal of Management, IT and Social Sciences, 5(4), 80–90.
12) Paramasivam, P. (2023). Socio Economic Conditions, Schemes Evaluation and Technological Appraisal of Fisherman (A Case Study in Therespuram Village of Tuticorin District, Tamil Nadu). International Journal of Business and Applied Economics, 2(1), 1–12.
13) Rahim, A., Hastuti, D. R. D., & Bustanul, N. (2018). Estimation of household consumption expenditure of small-scale fishermen in Indonesia. Russian Journal of Agricultural and Socio-Economic Sciences, 83(11), 375–383.
14) Rusdiana, A., Subandi, M., & Mulyawan, S. (2020). The relationship between socioeconomic status and consumption pattern of fishermen household in Indonesia. Asian Journal of Agriculture and Rural Development, 10(1), 141–148.
15) Sanjaya, P. K. A., Dewi, M. H. U., & Dewi, N. P. M. (2020). Faktor Penentu Penerimaan Devisa di Provinsi Bali: Analisis Partial Adjustment Model. Jurnal Pendidikan Ekonomi, 12(2), 192–202.
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18) Sudrajat, S., Ilham, M., Lukman, S., & Diantoro, S. (n.d.). The Influence of Policy Implementation of Regional Space Utilization and Fisheries Sector Development on Fisherman Family Welfare (Study in the District of Lingga Kepulauan Riau District). International Journal of Governmental Studies and Humanities, 4(2), 38–50.
19) Sukono, S., Riaman, R., Herawati, T., Saputra, J., & Hasbullah, E. (2021). Determinant factors of fishermen income and decision-making for providing welfare insurance: An application of multinomial logistic regression. Decision Science Letters, 10(2), 175–184.
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22) Ahsan, M., & Muhammad, Y. (2017). Household Economic Model to Improve Small-Scale Fisherman Income at Rural Minapadi (Rice-Fish System) Development Program In Donggala, Central Sulawesi. Russian Journal of Agricultural and Socio-Economic Sciences, 70(10), 247–255.
23) Astawa, Y. G., & Pramitha, P. P. A. (n.d.). THE ROLE OF FISHERMAN’S INCOME IN MEDIATED CAPITAL AND TECHNOLOGY UTILIZATION ON THE WELFARE OF COMMUNITIES WORKING AS FISHERMAN IN KEDONGANAN, BALI.
24) BPS. (2022). Badan Pusat Statistik. BPS.
25) Budhi, M. K. S., MahendraYesa, In., & Lestari, N. N. E. (2024). Economic Institutions, Technological Innovation, and Social Capital for the Welfare of Fishermen in Kedonganan Village, Badung Regency, Bali Province. International Journal of Educational Technology Research, 2(1).
26) Cresswell, K., Sheikh, A., Franklin, B. D., Krasuska, M., Nguyen, H. T., Hinder, S., Lane, W., Mozaffar, H., Mason, K., & Eason, S. (2020). Theoretical and methodological considerations in evaluating large-scale health information technology change programmes. BMC Health Services Research, 20, 1–6.
27) Darma, S., Darma, D. C., Hakim, Y. P., & Pusriadi, T. (2020). Improving Fishermens Welfare with Fuel-Saving Technology. Journal of Asian Scientific Research, 10(2), 105.
28) Ghozali, I. (2017). Analisis Multivariat dan Ekonometrika (II). Badan Penerbit Universitas Diponegoro.
29) Hapsari, T. D., Primawati, L., Bambang, A. N., Triarso, I., & Fitri, A. D. P. (2019). Impact of rural fisheries businesses program to the fishermen welfare in mangunharjo sub district tugu Semarang Indonesia. IOP Conference Series: Earth and Environmental Science, 246(1), 12041.
30) Hausman, J., & Palmer, H. L. Y. L. C. (2021). Errors in the Dependent Variable of Quantile Regression Models. Econometrica, 89(2), 849–873. https://doi.org/https://doi.org/10.3982/ECTA14667
31) Krisna Adwitya, Dian Agustina, N. (2019). THE DETERMINANT OF DEMAND FOR MONEY ( M 2 ) IN INDONESIA: ANALYSIS OF ORDINARY LEAST SQUARE MODEL. A Global Jornal Of Social Science, II(II), 68–77.
32) Lein, A. A. R., & Setiawina, N. D. (2018). Factors affecting the fishermen household income and welfare. International Research Journal of Management, IT and Social Sciences, 5(4), 80–90.
33) Paramasivam, P. (2023). Socio Economic Conditions, Schemes Evaluation and Technological Appraisal of Fisherman (A Case Study in Therespuram Village of Tuticorin District, Tamil Nadu). International Journal of Business and Applied Economics, 2(1), 1–12.
34) Rahim, A., Hastuti, D. R. D., & Bustanul, N. (2018). Estimation of household consumption expenditure of small-scale fishermen in Indonesia. Russian Journal of Agricultural and Socio-Economic Sciences, 83(11), 375–383.
35) Rusdiana, A., Subandi, M., & Mulyawan, S. (2020). The relationship between socioeconomic status and consumption pattern of fishermen household in Indonesia. Asian Journal of Agriculture and Rural Development, 10(1), 141–148.
36) Sanjaya, P. K. A., Dewi, M. H. U., & Dewi, N. P. M. (2020). Faktor Penentu Penerimaan Devisa di Provinsi Bali: Analisis Partial Adjustment Model. Jurnal Pendidikan Ekonomi, 12(2), 192–202.
37) Sanjaya, P. K. A., Wimba, I. G. A., & Kawiana, I. G. P. (2019). ANALISIS BEBERAPA FAKTOR YANG BERPENGARUH TERHADAP PENANAMAN MODAL ASING DI PROVINSI BALI: ANALISIS PARTIAL ADJUSTMENT MODEL. KRISNA: Kumpulan Riset Akuntansi, 10(2), 131–138.
38) Sapovadia, V. K. (2004). Fisherman cooperatives: a tool for socio-economic development. International Institute of Fisheries Economics & Trade Conference.
39) Sudrajat, S., Ilham, M., Lukman, S., & Diantoro, S. (n.d.). The Influence of Policy Implementation of Regional Space Utilization and Fisheries Sector Development on Fisherman Family Welfare (Study in the District of Lingga Kepulauan Riau District). International Journal of Governmental Studies and Humanities, 4(2), 38–50.
40) Sukono, S., Riaman, R., Herawati, T., Saputra, J., & Hasbullah, E. (2021). Determinant factors of fishermen income and decision-making for providing welfare insurance: An application of multinomial logistic regression. Decision Science Letters, 10(2), 175–184.
41) Utama, S. (2017). Ekonometrika (1st ed.). CV. Sastra Utama.
42) Wicaksono, B. R., Yuniarti, Y., & Paramartha, D. Y. (2021). Factors to Improve fishery household welfare: Empirical analysis of Indonesia. Economics and Finance in Indonesia, 67(1), 8.
Volume 07 Issue 10 October 2024
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