Volume 5, Issue 6, November 2020, Page: 225-233
Food Values Applied to Moringa oleifera: A Case Study in Niger
Zakou Amadou, Department of Rural Economics and Sociology, Faculty of Agricultural Sciences, Tahoua University, Tahoua, Niger
Rabe Mahamane Moctar, Department of Rural Economics and Sociology, Faculty of Agricultural Sciences, Tahoua University, Tahoua, Niger
Received: Sep. 24, 2020;       Accepted: Oct. 21, 2020;       Published: Oct. 30, 2020
DOI: 10.11648/j.ijae.20200506.11      View  55      Downloads  55
Abstract
The objective of this paper is to determine food values as applied to leafy vegetables such as Moringa oleifera and to specifically determine how climate change and food security information influence food values using recent advances in best worst scaling. Based on previous research related food values and focus group with consumers and resourceful persons, thirteen food values were identified and included in this study. Data were collected from 174 respondents randomly selected and interviewed in both rural and urban locations. Results suggest that food values such as veganism, nutrition, aesthetic object and social good when applied toMoringa oleifera are among the more important to consumers; while medicine, culture and object of hunger and desire were among the least important to consumers. Our findings further revealed that food values such nutrition is the most important when climate change information is provided to consumers, while technology and culture are the least important food values. Finally, food values such veganism, aesthetic object and nutrition are the most important, whereas food values such as culture is the least important when food security information is provided to consumers.
Keywords
Food Values, Moringa oleifera, Climate Change, Food Security, Information
To cite this article
Zakou Amadou, Rabe Mahamane Moctar, Food Values Applied to Moringa oleifera: A Case Study in Niger, International Journal of Agricultural Economics. Vol. 5, No. 6, 2020, pp. 225-233. doi: 10.11648/j.ijae.20200506.11
Copyright
Copyright © 2020 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Reference
[1]
Amadou Z., (2020) Which Sustainable Development Goals and Eco-challenges Matter Most to Niger’s Farmers and Herdsmen? A Best Worst Scaling Approach. Agri Res & Tech: Open Access J. 2020; 24 (5): 556284. DOI: 10.19080/ARTOAJ.2020.24.55628.
[2]
Ellison B, Brooks K, Mieno T., (2017) Agric Human Values. 34 (4): 819-83.
[3]
Brooks, K. and Brenna, D. E., (2014) Which Livestock Production Methods Matter Most to Consumers. Agricultural and Applied Economics Association. Vol 34 No 4, pp 819-831.
[4]
Caputo V, Lusk JL., (2020) What Agricultural and Food Policies Do US Consumer Prefer? A Best-Worst Scaling Approach. Agricultural Economics 51 (1): 75-93.
[5]
Copin, J., (2008) A Study of the Nutritional and Medicinal Values of Moringa oleifera leaves from Sub-Saharan Africa/ Ghana, Rwanda, Senegal and Zambia, Master of Science in Thesis Medical Chemistry. New Jersey, USA: The State University of New Jersey.
[6]
Daba, M., (2016) Miracle Tree:Review on Multiple-Purposes of Moringa oleifera and its Implications for Climate Change Mitigation”. J Earth Science Climatique, Vol 7, pp 7-366.
[7]
Fahey, M. D., (2009) Adoption of Moringa oleifera to combat under-nutrition viewed through the lens of the Diffusion of Innovations theory. Ecol Food Nutr., Vol 49 No3, pp 212–225. (doi: 10.1080/03670240902794598).
[8]
Kei K, Shizuka, H and Kazuhiko, T., (2020) which cultural ecosystem services is more important? A best-worst scaling approach, Journal of Environmental Economics and Policy, 9: 3, 304-318, DOI: 10.1080/21606544.2019.1683470.
[9]
Lee JA, Soutar G N and Louvriere, J., (2007) Measuring Values Using Best-Worst Scaling: The LOV Example. Psychology and Marketing DOI: 10.1002/mar.
[10]
Lister, G., Glynn, T., Marcus, B., Ted, S. and Chen, Y., (2017) Food values applied To livestock products, Journal of Food Products Marketing, Vol 23 No 3, pp 326-341.
[11]
Liu C, Li J, Steele W, Fang X., (2018) A study on Chinese consumer preferences for food traceability information using best-worst scaling. PLoS ONE 13 (11): e0206793. https://doi.org/10.1371/journal.pone.0206793.
[12]
Lusk, L. J. and Briggeman, B., (2009) Food values, American Journal of Agricultural Economics Vol 91 No 1, pp 184–196. https://doi.org/10.1111/j.1467-8276.2008.01175.x.
[13]
Marley, A. A. and J. J Louvriere., (2005) Some probabilistic models of best, worst, and best-worst choices. Journal of Mathematical Psychology, Vol 49No 6, pp 464-480.
[14]
Marley, A. A. J and T. N. Flynn., (2007) Best Worst Scaling: Theory and Methods, Handbook of Choice Modelling. Syndey: Centre for the Study of Choice University of Victoria.
[15]
McFadden, D. and Train, K., (2000) Mixed MNL models for discrete response, Journal of Applied Econometrics Vol15 No 5, pp 447–470. https://doi.org/10.1002/1099-1255200.
[16]
Moctar R M, Amadou Z, Baoua I, Sitou L., (2018). Improved Seed attributes evaluation: case of cowpea varieties grown in the central and Southern agricultural zone of Niger Republic. Afrique Science 14 (4): 225-234, 225, ISSN 1813-548X, http://www.afriquescience.ne.
[17]
Oyeyinka, T and Samson A. Oyeyinka., (2016) Moringa oleifera as food fortificant: Recenttrends and Prospects. Journal of the Saudi Society Society of Agricultural Sciences, Vol 17 No2, pp 127-136. http://dx.doi.org/10.1016/j.jssas.2016.02.002.
[18]
Sarma, PK., (2020) Investigating Consumers’ Preference on Fresh Vegetables in Bangladesh: Best-Worst Scaling Approach. Agri Res & Tech: Open Access J. 2020; 24 (1): 556253. DOI: 10.19080/ARTOAJ.2019.22.556254.
[19]
Tabbo, A and Amadou. Z., (2017) Assessing newly introduced climate change adaptatiostrategy packages among rural households: Evidence from Kaou local government area, TahouaState, Niger Republic. Jàmbá: Journal of Disaster Risk Studies, Vol 9 No 1, pp 1-7.
[20]
Train, K., (2009). Discrete Choice Methods with Simulation. Cambridge, UK: Cambridge University Press.
[21]
Uy EJB, Bautista DC, Xin X, Cheung YB, Thio S-T, Thumboo J (2018) Using best-worst scaling choice experiments to elicit the most important domains of health for health-related quality of life in Singapore. PLoS ONE 13 (2): e0189687. https://doi.org/10.1371/journal.pone.0189687.
Browse journals by subject