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International Journal of Advanced Research and Publications

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Employing The Ordinary Least Square (Ols) Technique To Assess The Effect Of Weather Parameters On Rice Cultivation In Sierra Leone

Volume 5 - Issue 11, November 2022 Edition
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Alhaji Mohamed Hamza Conteh, Brima Gebge , Sanpha Kallon
Planting Area Deviation, Rice Cultivation, Weather Input.
The importance of the effect of weather to rice cultivation in the emerging nations is of vital insofar as the agricultural sub sector is involved. Currently, the association between weather and rice cultivation continues to create further attention in Sierra Leone agricultural growth. The increase in population and revenue in emerging nations carters for additional food request, although, the supply aspect is not enough to equalise the demand side. This research work assessed the effects of weather inputs on rice cultivation regarding planting area deviations in Sierra Leone. The authors employed weather time series data comprising sunshine, rainfall, minimum and maximum temperatures, as well as data from 1985 to 2021. To test for stationarity properties in the data, the Augment Dickey-Fuller (ADF) technique was used. Furthermore, all the series showed to unveil a long run association by Johansen Cointegration method at first levels I with the likelihood of taking the linear combination. The regression results shown that an increase in unit rainfall besides the usual moisture needed decrease the mean rice cultivation by 14.3 %. Though by stepwise regression method, other metrological parameters including sunshine, means of minimum and maximum temperature had lesser significance on rice cultivation. Predominantly, an increase in unit in the area planted was discovered to increase rice cultivation by 54.37 %.
[1]. Abbott, P.C., Estimating US Agricultural Export Demand Elasticities: Econometric and Economic Issues1, in Elasticities in International Agricultural Trade. 2019, CRC Press. p. 53-85.

[2]. Guntukula, R., Assessing the impact of climate change on Indian agriculture: evidence from major crop yields. Journal of Public Affairs, 2020. 20(1): p. e2040.

[3]. Hayami, Y. and V.W. Ruttan, Population growth and agricultural productivity, in Technological Prospects and Population Trends. 2020, Routledge. p. 11-69.

[4]. He, Y., Agricultural population urbanization, long-run economic growth, and metropolitan electricity consumption: An empirical dynamic general equilibrium model, in The Institutional Paradigm of Economic Geography. 2022, Springer. p. 79-102.

[5]. Kastratovi?, R., Impact of foreign direct investment on greenhouse gas emissions in agriculture of developing countries. Australian Journal of Agricultural and Resource Economics, 2019. 63(3): p. 620-642.

[6]. Das, P., Econometrics in theory and practice. Springer, 2019. 10: p. 978-981.

[7]. Naab, F.Z., Z. Abubakari, and A. Ahmed, The role of climate services in agricultural productivity in Ghana: The perspectives of farmers and institutions. Climate Services, 2019. 13: p. 24-32.

[8]. Ouyang, H., X. Wei, and Q. Wu, Agricultural commodity futures prices prediction via long-and short-term time series network. Journal of Applied Economics, 2019. 22(1): p. 468-483.

[9]. Qin, X., et al., What makes better village economic development in traditional agricultural areas of China? Evidence from 338 villages. Habitat International, 2020. 106: p. 102286.

[10]. Sharma, G.D., et al., Exploring the nexus between agriculture and greenhouse gas emissions in BIMSTEC region: The role of renewable energy and human capital as moderators. Journal of Environmental Management, 2021. 297: p. 113316.

[11]. Storm, H., K. Baylis, and T. Heckelei, Machine learning in agricultural and applied economics. European Review of Agricultural Economics, 2020. 47(3): p. 849-892.
[12]. Wang, F., et al., How can agricultural water use efficiency be promoted in China? A spatial-temporal analysis. Resources, Conservation and Recycling, 2019. 145: p. 411-418.

[13]. Wong, L.-F., Agricultural Productivity in the Socialist Countries. 2019: Routledge.

[14]. Wu, J., et al., Impacts of agricultural industrial agglomeration on China’s agricultural energy efficiency: A spatial econometrics analysis. Journal of Cleaner Production, 2020. 260: p. 121011.

[15]. Hanck, C., et al., Introduction to Econometrics with R. University of Duisburg-Essen, 2019: p. 1-9.

[16]. Appau, S., et al., The long-term impact of the Vietnam War on agricultural productivity. World Development, 2021. 146: p. 105613.

[17]. Asteriou, D. and S.G. Hall, Applied econometrics. 2021: Bloomsbury Publishing.

[18]. Romadona, F.B., W. Wibowo, and H. Rahman, Analysis of The Effect of Remittance on Economic Growth in Developing Countries East Asia and Pacific Region. Media Trend, 2021. 16(2): p. 162-173.

[19]. McClelland, D.C., The achievement motive in economic growth, in The Gap Between Rich And Poor. 2019, Routledge. p. 53-69.

[20]. Mahembe, E. and N.M. Odhiambo, Foreign aid, poverty and economic growth in developing countries: A dynamic panel data causality analysis. Cogent Economics & Finance, 2019. 7(1): p. 1626321.

[21]. Chan, J. and J.L. Tobias, Bayesian Econometrics Methods, in Handbook of Labor, Human Resources and Population Economics. 2021, Springer. p. 1-22.

[22]. Deng, X., et al., Does outsourcing affect agricultural productivity of farmer households? Evidence from China. China Agricultural Economic Review, 2020.

[23]. Gujarati, D.N., Essentials of econometrics. 2021: SAGE Publications.

[24]. Kuznets, S., Economic growth and income inequality, in The gap between rich and poor. 2019, Routledge. p. 25-37.

[25]. Pham, T.N. and D.H. Vo, Aging population and economic growth in developing 2021. 57(1): p. 108-122.

[26]. Kozlovskyi, S., et al., An empirical study of the effects of demographic factors on economic growth in advanced and developing countries. Comparative Economic Research. Central and Eastern Europe, 2020. 23(4): p. 45-67.

[27]. Jongwanich, J. and A. Kohpaiboon, Workers' Remittances, Capital Inflows, and Economic Growth in Developing Asia and the Pacific. Asian Economic Journal, 2019. 33(1): p. 39-65.

[28]. Ramzan, M., et al., Impact of FDI on economic growth in developing countries: Role of human capital. Seoul Journal of Economics, 2019. 32(3).

[29]. Elwakeel, A.E., et al., A review on sugarcane harvesting technology. Al-Azhar Journal of Agricultural Engineering, 2022. 2(1): p. 54-63.

[30]. Newton, A., et al., Cereal landraces for sustainable agriculture. Sustainable Agriculture Volume 2, 2011: p. 147-186.

[31]. Moutouama, F.T., et al., Farmers’ Perception of Climate Change and Climate-Smart Agriculture in Northern Benin, West Africa. Agronomy, 2022. 12(6): p. 1348.

[32]. Mesfin, A.H., et al., Weather information and shocks: Policy implications to ensure food security in Tigray Region of Ethiopia. Journal of Arid Environments, 2022. 205: p. 104769.

[33]. Contreras-Soto, R.I., et al., Variation in Root-Related Traits Is Associated With Water Uptake in Lagenaria siceraria Genotypes Under Water-Deficit Conditions. Frontiers in plant science, 2022. 13.