ANALISIS KESEJAHTERAAN MASYARAKAT PETANI PERKEBUNAN KELAPA SAWIT DI KABUPATEN ROKAN HULU
DOI:
https://doi.org/10.30606/cano.v13i02.4037Keywords:
Consumption, Income, Health, WelfareAbstract
Socio-economic welfare is a condition and a prosperous socio-economic life system. Welfare can be seen in terms of livelihoods, income, consumption patterns and the geographical situation of an environment or region. Community welfare can be influenced by various factors, both internal and external, so it is necessary to study the influence of these factors. This study was conducted to determine the effect of consumption, income, and health factors on the welfare of oil palm plantation farmers in Rokan Hulu Regency. The method used is simultaneous and partial tests on each variable. The results of this study indicate that (1) simultaneously, the income, consumption, and health variables have a significant effect on the welfare variable, (2) partially, the income variable has a positive and significant effect on the welfare variable, (3) partially the consumption variable has no effect on the welfare variable, and (4) partially the health variable has a positive and significant effect on the welfare variable
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References
Watete, P. W., Makau, W. K., Njoka, J. T., AderoMacOpiyo, L., & Mureithi, S. M. (2016).
Are there options outside the livestock economy? Diversification among
households of northern Kenya. Pastoralism, 6(1), 3.
Abdullahi, M.O.M., 2018. Role of Social- Demographic and livelihood Strategy
Diversification on Pastoralists Household Stability in Mandera County ,
Kenya. International Journal of Poverty, Investment and Development, 3(1), pp.1-19.
Lopez, G.P.R. and San Juan, E.P., 2019. Socio-economic status and livelihood prospects
of solo parents in Catanduanes, Philippines.
Sadekin, M.N., Ali, J. and Islam, R., 2018. The socio demographic status of small scale
fishers of inland open water area: A case study from chalan beel area of
Bangladesh. International Journal of Engineering & Technology (UAE), 7(4.28),
pp.305-311.
Gayathri, P. and Arjunan, R., 2010. Socio-Demographic and Quality of Work Life of Tea
Plantation Workers in Nilgiris. Bharathiar University, Coimbatore, Tamil Nadu.
Ullah, S., Noor, R.S., Abid, A., Mendako, R.K., Waqas, M.M., Shah, A.N. and Tian, G.,
Socio-economic impacts of livelihood from fuelwood and timber consumption
on the sustainability of forest environment: Evidence from basho valley, Baltistan,
Pakistan. Agriculture, 11(7), p.596.
Ryan, A., Christofa, E., Barchers, C. and Knodler, M., 2021. The relationship between
municipal highway expenditures and socio-demographic status: Are safety
investments equitably distributed?. Transportation Research Interdisciplinary
Perspectives, 9, p.100321.
Phillips, A., Khan, A.Z. and Canters, F., 2021. Use-related and socio-demographic
variations in urban green space preferences. Sustainability, 13(6), p.3461.
Dartanto, T., Yuan, E.Z.W. and Sofiyandi, Y., 2017. Two decades of structural
transformation and dynamics of income equality in Indonesia.
Mensah, I. 2012. Environmental education and environmentally responsible behavior :
The case of international tourists in Accra hotels. International Journal of Tourism
Sciences, 12(3), 69–89.
Okumah, M., Ankomah-Hackman, P. and Yeboah, A.S., 2021. Do socio-demographic
groups report different attitudes towards water resource management? Evidence from
a Ghanaian case study. GeoJournal, 86(5), pp.2447-2456.
Christian, A.K., Dovie, B.D., Akpalu, W. and Codjoe, S.N.A., 2021. Households' sociodemographic characteristics, perceived and underestimated vulnerability to floods and
related risk reduction in Ghana. Urban Climate, 35, p.100759.
Ibid.
Op.cit.
Ayeb-Karlsson, S., 2020. When the disaster strikes: gendered (im) mobility in Bangladesh.
Clim. Risk Manag. 100237.
Muttarak, R., Lutz, W., 2017. Is education a key to reducing vulnerability to natural
disasters and hence unavoidable climate change? Ecol. Soc.
https://doi.org/10.5751/ES-06476-190142.
Haq, S.M.A., Ahmed, K.J., 2017. Does the perception of climate change vary with the
socio-demographic dimensions? A study on vulnerable populations in Bangladesh.
Nat. Hazards. https://doi.org/10.1007/s11069-016-2664-7.
Ullah, S., Noor, R.S., Abid, A., Mendako, R.K., Waqas, M.M., Shah, A.N. and Tian, G.,
Socio-economic impacts of livelihood from fuelwood and timber consumption
on the sustainability of forest environment: Evidence from basho valley, Baltistan,
Pakistan. Agriculture, 11(7), p.596.
Ferreira, Joao Paulo, Leeson, George, and Melhado, Vivian, 2021. Aging in rural Brazil:
a socio-demographic analysis of living conditions among black and white women and
men. Research Square. https://doi.org/10.21203/rs.3.rs-259022/v2.
Basavaraj, G. Gnanamani, Gopalakrishnan, S., 2021. A Study on Socio Demographic
Characteristics, Morbidity Pattern and Health Seeking Behaviour of Elderly Aged in
Rural Area of Puducherry.
AMALIAH, N. A. (2020). Analisis Pengaruh Pendapatan Terhadap Kesejahteraan Rumah
Tangga Petani Di Desa Sampulungan Kecamatan Galesong Utara Kabupaten Takalar.
UNIVERSITAS MUHAMMADIYAH MAKASSAR, 21(1), 1–9.
Ghozali, I. (2016). Aplikasi Analisis Multivariate Dengan Program IBM SPSS 23 (Edisi
. Badan Penerbit Universitas Diponegoro.
Marpaung, M. R. H. B., Marliyah, Hasibuan , R. R. A., & Sugiharto, B. (2020). FaktorFaktor Yang Mempengaruhi Kesejahteraan Petani Padi Muslim Desa Tanjung Kubah
Batu Bara Di Masa Covid-19. In Jurnal Stindo Profesional (Vol. 7, Issue 6).
Ndakularak E., Nyoman Djinar Setiawina, I. K. D. (2014). Analisis Faktor-Faktor yang
Mempengaruhi Kesejahteraan Masyarakat Kabupaten/Kota di Provinsi Bali. E-Jurnal
Ekonomi Dan Bisnis Universitas Udayana, 2(2), 140–153.
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Copyright (c) 2024 Heffi Christya Rahayu, Nofriser, Lufita Nur Alfiah, Ikhsan Gunawan, Erik Estrada , Ahmad Fathoni

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