Perceptions of Natural Resources Use in Rwanda - A Partial Proportional Odds Model

  • Jean François Régis Nisengwe University of Tennessee Institute of Agriculture
  • Adam Willcox, PhD University of Tennessee Institute of Agriculture
  • Liem Tran, PhD University of Tennessee Institute of Agriculture
Keywords: Perceptions, Natural Resource Consumption, Charcoal, Water, Rwanda, Partial Proportional Odds Model
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Abstract

The scarcity of natural resources is a challenge in Rwanda. Although Rwanda has improved water supplies, projections show a further increase in water demand. Particularly, agriculture continues to place further demands on water resources through intensification and industrialization. Similarly, although the dependence on biomass for cooking has improved over the past two decades in Rwanda, the ratio is still high and is projected to increase. Unfortunately, the heavy dependence on biomass is damaging to the environment in general, forests in particular. As the consumption of water and charcoal increases, it is important to study how people perceive their consumption. Research shows that people who perceive their consumption of natural resources are more likely to conserve them as they can see how much they are consuming. This study investigated perceptions of water and charcoal consumption among farmers in northern Rwanda. A survey was used to collect data from 323 farmers involved in a poultry development project in the district of Musanze, northern Rwanda. A Partial Proportional Odds Model (PPOM) was used to analyse the effect of different factors on the perception of natural resource consumption. Results indicate that the perception of charcoal consumption was associated with three variables: living in the urban section of the district, the amount of feed consumed by chicken, and elevation at which the coop is located. Results from this study can improve how food security projects are implemented by incorporating people’s perceptions of their consumption of natural resources.

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References

Ananth, C. V., & Kleinbaum, D. G. (1997). Regression models for ordinal responses: A review of methods and applications. International Journal of Epidemiology, 26(6), 1323–1333. https://doi.org/10.1093/ije/26.6.1323

Anderson, J. A. (1984). Regression and Ordered Categorical Variables. Journal of the Royal Statistical Society, 46(1), 1–30. https://doi.org/10.2307/2346101

Attari, S. Z. (2014). Perceptions of water use. Proceedings of the National Academy of Sciences of the United States of America, 111(14), 5129–5134. https://doi.org/10.1073/pnas.1316402111

Attari, S. Z., DeKay, M. L., Davidson, C. I., & De Bruin, W. B. (2010). Public perceptions of energy consumption and savings. Proceedings of the National Academy of Sciences of the United States of America, 107(37), 16054–16059. https://doi.org/10.1073/pnas.1001509107

Aviagen. (2011). Arbor Acres Service Bulletin -Optimizing Broiler Feed Conversion Ratio. 7. Retrieved from http://en.aviagen.com/

Ballard Kepple, A. W., & Cafiero, C. (2013). Technical Paper. Rome, FAO., T. J. (2013). The food insecurity experience scale: Developing a global standard for monitoring hunger worldwide. Technical Paper. (October), 1–58.

Bimenyimana, S., Asemota, G. N. O., & Li, L. (2018). The state of the power sector in Rwanda: A progressive sector with ambitious targets. Frontiers in Energy Research, 6(July). https://doi.org/10.3389/fenrg.2018.00068

Bizuhoraho, T., Icyimpaye, G., & Nadia, B. E.-S. (2018). Water Demand Management as a Solution to Water Resources Challenges in Rwanda. International Journal of Science and Research (IJSR), 9(1), 52–70.

Brant, R. (1990). Assessing Proportionality in the Proportional Odds Model for Ordinal Logistic Regression Author (s): Rollin Brant Published by: International Biometric Society Stable URL: https://www.jstor.org/stable/2532457 REFERENCES Linked references are available. Biometrics, 46(4), 1171–1178.

Dolgun, A., & Saracbasi, O. (2014). Assessing proportionality assumption in the adjacent category logistic regression model. Statistics and Its Interface, 7(2), 275–295. https://doi.org/10.4310/SII.2014.v7.n2.a12

Fan, L., Wang, F., Liu, G., Yang, X., & Qin, W. (2014). Public perception of water consumption and its effects on water conservation behavior. Water (Switzerland), 6(6), 1771–1784. https://doi.org/10.3390/w6061771

Fernández-Llamazares, Á., Díaz-Reviriego, I., Guèze, M., Cabeza, M., Pyhälä, A., & Reyes-García, V. (2016). Local perceptions as a guide for the sustainable management of natural resources: Empirical evidence from a small-scale society in Bolivian Amazonia. Ecology and Society, 21(1), 1–26. https://doi.org/10.5751/ES-08092-210102

GoR. (2015). Community-led Ubudehe categorisation kicks off. Retrieved April 13, 2020, from Republic of Rwanda website: http://www.gov.rw/news_detail/?tx_ttnews%5Btt_news%5D=1054&cHash=a315a8b0054e76f9c699f05ce24d3eb8

Government of Rwanda (NISR, M. of E. and M. of L. and F. (2019). Rwanda Natural Capital Accounts - Water. World Bank, (March), 86. Retrieved from https://www.wavespartnership.org/sites/waves/files/kc/RW_NCA_Land_Account_March__2018__IV__1_.pdf

Kuil, L., Evans, T., McCord, P. F., Salinas, J. L., & Blöschl, G. (2018). Exploring the Influence of Smallholders’ Perceptions Regarding Water Availability on Crop Choice and Water Allocation Through Socio-Hydrological Modeling. Water Resources Research, 54(4), 2580–2604. https://doi.org/10.1002/2017WR021420

Marge. (2009). Biomass Energy Strategy ( Best ), Rwanda. European Union Energy Initiative, (June).

Mazimpaka, E. (2014). Woodfuel in Rwanda: Impact on energy, poverty, environment and policy instruments analysis. International Journal of Renewable Energy Development, 3(1), 21–32. https://doi.org/10.14710/ijred.3.1.21-32

MININFRA. (2013, June). Water and Sanitation Sector Strategic Plan. Republic of Rwanda. Retrieved from http://www.minecofin.gov.rw/fileadmin/templates/documents/sector_strategic_plan/Water_and_Sanitation_SSP_June_2013.pdf

MINIRENA. (2012). Water resources management sub-sector strategic plan (2011-2015). Republic of Rwanda, (September), 1–50.

Munyaneza, J., Wakeel, M., & Chen, B. (2016). Overview of Rwanda Energy Sector: From Energy Shortage to Sufficiency. Energy Procedia, 104, 215–220. https://doi.org/10.1016/j.egypro.2016.12.037

Nkurunziza, F. (2016). Water quality , quantity and accessibility assessment : Volcanoes national park region experience in Rwanda. International Journal of Recent Advances in Multidisciplinary Research, 03(07), 1617–1626.

O’Connell, A. A., & Liu, X. (2011). Model diagnostics for proportional and partial proportional odds models. Journal of Modern Applied Statistical Methods, 10(1), 139–175. https://doi.org/10.22237/jmasm/1304223240

Sasidharan, L., & Menéndez, M. (2014). Partial proportional odds model - An alternate choice for analyzing pedestrian crash injury severities. Accident Analysis and Prevention, 72, 330–340. https://doi.org/10.1016/j.aap.2014.07.025

Scott, S. C., Goldberg, M. S., & Mayo, N. E. (1997). Statistical assessment of ordinal outcomes in comparative studies. Journal of Clinical Epidemiology, 50(1), 45–55. https://doi.org/10.1016/S0895-4356(96)00312-5

Slander, K., & Hendriksen, G. (2012). Establishing a Green Charcoal Value Chain in Rwanda: A feasibility study. The World Bank, 108. Retrieved from https://www.scopus.com/inward/record.uri?eid=2-s2.0-84919786396&partnerID=40&md5=cdaf719f36776781970c496101745258

Soon, J. J. (2010). The determinants of students’ return intentions: A partial proportional odds model. Journal of Choice Modelling, 3(2), 89–112. https://doi.org/10.1016/S1755-5345(13)70037-X

UNEP. (2010). Africa water atlas. In United Nations Environment Programme (Division o). https://doi.org/10.1007/s00264-013-1939-9

Venables, W. ., & Ripley, B. . (2002). Tree-Based Methods. In: Modern Applied Statistics with S. Statistics and Computing. https://doi.org/https://doi.org/10.1007/978-0-387-21706-2_9

WHO. (2013). Water sanitation hygiene. Retrieved October 8, 2020, from https://www.who.int/water_sanitation_health/emergencies/qa/emergencies_qa5/en/

Williams, R. (2006). Generalized ordered logit/partial proportional odds models for ordinal dependent variables. Stata Journal, 6(1), 58–82. https://doi.org/10.1177/1536867x0600600104

Yee, T. W. (2010). Journal of Statistical Software The VGAM Package for Categorical Data Analysis. 32(10). Retrieved from http://www.jstatsoft.org/

Published
16 September, 2021
How to Cite
Nisengwe, J., Willcox, A., & Tran, L. (2021). Perceptions of Natural Resources Use in Rwanda - A Partial Proportional Odds Model. East African Journal of Environment and Natural Resources, 3(1), 145-160. https://doi.org/10.37284/eajenr.3.1.412