Impact of Irrigation, Crude Oil Prices, and Agricultural Loans to the Philippines’ Agricultural Output
DOI:
https://doi.org/10.11111/ujost.v1i2.74Keywords:
Cooperative, Savings, Loans, Economy, Developer, Design, System, Information, Effective, PaymentAbstract
This study examines the impact of Irrigation, Crude Oil Prices, and Agricultural Loans to the Agricultural Output. The data used are secondary which were compiled from different The Independent Variables used are Irrigation, Crude Oil Prices, and Agricultural Loans while the Dependent Variable used is the Agricultural Output. The coverage of this study is from 1991 - 2020. This is a quantitative approach to empirically determine the relationship between the independent variables to the dependent variable. The main tests that the researchers used are Ordinary Least Squares regression (OLS), Multicollinearity test, and through the use of a Q-Q plot to determine any outliers in the data. The researchers were successful in determining the relationships among the variables. It has been determined that Irrigation and Crude Oil Prices have a positive relationship towards the Agricultural Output while there is a negative relationship between Agricultural Loans and the Agricultural Output.
References
(2022). Rbi.org.in. https://rbidocs.rbi.org.in/rdocs/Speeches/PDFs/ACACHA120712.pdf
A Service of zbw The Impact of Infrastructure on Agricultural Productivity. (2012). https://www.econstor.eu/bitstream/10419/126883/1/pidsdps1212.pdf
Ackello-Ogutua, C. (2011). Managing Food Security Implications of Food Price Shocks in Africa. Journal of African Economies, 20(1), 100–141. https://doi.org/10.1093/jae/ejr010
Adel Shakeeb Mohsen, Chua, S. Y., & Che Normee CHESAB. (2020, April). Determinants of agricultural output in Syria. ResearchGate; Slovak University of Agriculture in Nitra. https://www.researchgate.net/publication/301568182_Determinants_of_agricultural_output_in_Syria
Akpan, S. B., Udoka, S. J., & Patrick, I. V. (2015). Roles of Macroeconomic Variables on Agricultural Diversification in Nigeria. American Journal of Economics and Business Administration, 7(2), 77–93. https://doi.org/10.3844/ajebasp.2015.77.93
Aydın, L., & Acar, M. (2011). Economic impact of oil price shocks on the Turkish economy in the coming decades: A dynamic CGE analysis. Energy Policy, 39(3), 1722–1731. https://doi.org/10.1016/j.enpol.2010.12.051
Aye, G. C., & Odhiambo, N. M. (2021). Oil prices and agricultural growth in South Africa: A threshold analysis. Resources Policy, 73, 102196. https://doi.org/10.1016/j.resourpol.2021.102196
Batugal, P. (2016). Role of the private sector in promoting competitiveness and the development of Philippine Agriculture. Philippine Journal of Crop Science (Philippines); https://agris.fao.org/agris-search/search.do?recordID=PH2017000359
Binuomote, S., & Odeniyi, K. (2013). Effect of Crude Oil Price on Agricultural Productivity in Nigeria (1981-2010). International Journal of Applied Agriculture and Apiculture Research, 9(1-2), 131–139. https://www.ajol.info/index.php/ijaaar/article/view/96939
Brown, E. D., & Iyabode, A. (2020). Determinants of Agricultural Production and Agricultural Sector Output in Nigeria. Journal of Economics & Management Research, 1–9. https://doi.org/10.47363/jesmr/2020(1)101
Camp, K. M. (2019, April 11). The relationship between crude oil prices and export prices of major agricultural commodities. ResearchGate; unknown. https://www.researchgate.net/publication/335058184_The_relationship_between_crude_oil_prices_and_export_prices_of_major_agricultural_commodities
Chandio, A., Yuansheng, J., Ghulam, J., Sahito, M., & Larik, S. (2016). African Journal of Business Management Impact of formal credit on agricultural output: Evidence from Pakistan. 10(8), 162–168. https://academicjournals.org/journal/AJBM/article-full-text-pdf/DCE0F9758126
Definition and Development in African Indigenous Irrigation. (2022). AZANIA: Journal of the British Institute in Eastern Africa. https://www.tandfonline.com/doi/abs/10.1080/00672708909511394
Deluna, R. (2014). The Long-run Relationship among World Oil Price, Exchange Rate and Inflation in the Philippines. https://mpra.ub.uni-muenchen.de/60116/1/MPRA_paper_60116.pdf
Go, A. W., Conag, A. T., Igdon, R. M. B., Toledo, A. S., & Malila, J. S. (2019). Potentials of agricultural and agro-industrial crop residues for the displacement of fossil fuels: A Philippine context. Energy Strategy Reviews, 23, 100–113. https://doi.org/10.1016/j.esr.2018.12.010
Growth and yield response of lettuce and tomato grown under drip and manual irrigation – Annals of Tropical Research. (2017). Annalsoftropicalresearch.com. https://annalsoftropicalresearch.com/growth-and-yield-response-of-lettuce-and-tomato-grown-under-drip-and-manual-irrigation/
Gulati, A., & Juneja, R. (2019, September 16). Agricultural Credit System in India: Evolution, Effectiveness and Innovations. Papers.ssrn.com. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3454423
Hagos, F., Makombe, G., Namara, R., & Awulachew, S. (n.d.). International Water Management Institute. Retrieved November 16, 2022, from https://www.iwmi.cgiar.org/Publications/IWMI_Research_Reports/PDF/PUB128/RR128.pdf
Hamilton, J. (2009). Causes and Consequences of the Oil Shock of 2007-08. https://doi.org/10.3386/w15002
Inocencio, A., & Barker, R. (2018). Current Challenges in Agricultural Water Resource Development and Management in the Philippines. DLSU Business & Economics Review, 28, 1–17. https://www.dlsu.edu.ph/wp-content/uploads/2019/03/1-inocencio-072418.pdf
Ismail Fasanya, Temitope Odudu, & Oluwasegun Babatunde Adekoya. (2018, November 6). Oil and agricultural commodity prices in Nigeria: New evidence from asymmetry and structural breaks. ResearchGate; Emerald. https://www.researchgate.net/publication/328771149_Oil_and_agricultural_commodity_prices_in_Nigeria_New_evidence_from_asymmetry_and_structural_breaks
Myka, I., & Galang, R. (n.d.). Land Tenure, Access to Credit, and Agricultural Performance of ARBs, Farmer Beneficiaries, and Other Rural Workers. https://pidswebs.pids.gov.ph/CDN/PUBLICATIONS/pidsdps2044.pdf
Ningxia Irrigated Agriculture and Water Conservation Demonstration Project (RRP PRC 44035). (n.d.). Retrieved November 16, 2022, from https://www.adb.org/sites/default/files/linked-documents/44035-014-prc-ssa.pdf
Poliquit, L. (2006). Accessibility of Rural Credit Among Small Farmers in the Philippines. https://doi.org/https://mro.massey.ac.nz/bitstream/handle/10179/1687/02_whole.pdf
Republic of the Philippines: Preparing the Irrigation System Operation Efficiency Improvement Project (Financed by the Japan Special Fund) Technical Assistance Report. (2008). https://www.adb.org/sites/default/files/project-document/67834/33453-phi-tar.pdf
Sander, W. (1981). IRRIGATION PLANNING AND DEVELOPMENT IN THE PHILIPPINES. Philippine Quarterly of Culture and Society, 9(2), 135–144. http://www.jstor.org/stable/29791721
Stockle, C. (2002). ENVIRONMENTAL IMPACT OF IRRIGATION: A REVIEW. ResearchGate; unknown. https://www.researchgate.net/publication/252698502_ENVIRONMENTAL_IMPACT_OF_IRRIGATION_A_REVIEW
The Current State, Challenges and Plans for Philippine Agriculture. (2018, November 21). FFTC Agricultural Policy Platform (FFTC-AP). https://ap.fftc.org.tw/article/500
Timilsina, G. R. (2013). How Much Does an Increase in Oil Prices Affect the Global Economy? Some Insights from a General Equilibrium Analysis. In Policy Research Working Papers. The World Bank. https://doi.org/10.1596/1813-9450-6515
Uanto, G. (1993). Agricultural Credit and Banking in the Philippines: Efficiency and Access Issues. https://opendocs.ids.ac.uk/opendocs/bitstream/handle/20.500.12413/3735/pidswp9302.pdf
Yahya, M., Oglend, A., & Dahl, R. E. (2019). Temporal and spectral dependence between crude oil and agricultural commodities: A wavelet-based copula approach. Energy Economics, 80, 277–296. https://doi.org/10.1016/j.eneco.2019.01.011
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