Dynamics of Global Agricultural Productivity and Democratic Governance Structure: Implications for Sustainable Food Supply

Subject Areas : Extension and Economic

Job  Nmadu ¹ (Department of Agricultural Economics and Farm Management Federal University of Technology, Minna, Nigeria)
Usman  Mohammed ² (Department of Agricultural Economics and Farm Management Federal University of Technology, Minna)
Yebosoko  Nmadu ³ (Nigerian Defence Academy, Kaduna, Nigeria)
Halima  Sallawu ⁴ (Department of Agricultural Economics and Farm Management Federal University of Technology, Minna, Nigeria )
Sokoyami  Nmadu ⁵ (Ajayi Crowther University, Oyo, Nigeria)
Mohammed  Ndanitsa ⁶ (Department of Agricultural Economics and Farm Management Federal University of Technology, Minna, Nigeria )
Ezekiel  Yisa ⁷ (Department of Agricultural Economics and Farm Management, Federal University of Technology)
Kpotun  Baba ⁸ (Department of Agricultural Economics and Farm Management Federal University of Technology, Minna)
Taiwo  Amos ⁹ (Department of Agricultural and Resource Economics Federal University of Technology, Akure)
Abigail  Jirgi ¹⁰ (Department of Agricultural Economics and Farm Management Federal University of Technology, Minna)

Received: 2023-08-29 Accepted : 2023-11-30 Published : 2023-12-30

Keywords: Multilevel modelling, Random effects, Imperfect regimes, Variances, Food sovereignty, R Software,

Abstract :

Good governance leads to economic growth although most countries of the world lack it. Little attention had been given to isolate the effect of the governance system on agricultural productivity which necessitate this research. This research is a global study on the relationship between regime type and agricultural productivity drawing data from three main sources. A total of 14 models and scenarios were estimated to isolate the continents and or regime types that could exacerbate or enhance global Total Factor Productivity (TFP). The results indicates that full democracy is practised in about 10% of the countries. TFP is highest in most countries that practice full democracy (FD) while it was lowest in countries under authoritarian regimes. From the results of the estimation of all the models, only agriculture contribution to GDP had about .45% impact on TFP over the period of this data. However, it would appear that changes to TFP is more likely to occur in countries within continents rather than in countries practising similar regime type. In terms of which regime or continent caused the greatest variability; Asia is on top of the continents while authoritarian regimes are on top of the regime type. The study recommends the institution of political reforms in countries operating imperfect democratic regimes to enhance investment in agricultural R&D especially in Africa, Asia and CIS. In addition, countries not practicing FD should work towards improving their TFP by at least 50% of the current level and translate the free resources to other sectors.

References:

1. Abouzeid, A. M. (2016). Analysis of the agricultural sector growth using Malmquist Total Factor Productivity Index for 165 countries. Arab Universities Journal of Agricultural Sciences, 24(2), 489–510.
2. African Development Bank Group. (2014). Tracking Africa’s Progress in Figures. African Development Bank Group.
3. Agarwal, B. (2014). Food sovereignty, food security and democratic choice: Critical contradictions, difficult conciliations. Journal of Peasant Studies, 41(6), 1247–1268. https://www.tandfonline.com/doi/abs/10.1080/03066150.2013.876996
4. Aghion, P., Alesina, A. F., & Trebbi, F. (2007). Democracy, technology, and growth. National Bureau of Economic Research.
5. Amos, T. T., Chikwendu, D. O., & Nmadu, J. N. (2004). Productivity, technical efficiency and cropping patterns in the savanna zone of Nigeria. Food, Agriculture & Environment, 2(2), 173–176.
6. Antwi-Agyei, P., & Stringer, L. C. (2021). Improving the effectiveness of agricultural extension services in supporting farmers to adapt to climate change: Insights from northeastern Ghana. Climate Risk Management, 32, 100304. https://doi.org/10.1016/j.crm.2021.100304
7. Ayinde, O. E., Adewumi, M. O., Nmadu, J. N., Olatunji, G. B., & Egbugo, K. (2014). Review of Marketing Board Policy: Comparative Analysis of Cocoa Pricing eras in Nigeria. Nigerian Journal of Agricultural Economics, 4(1), 68–79.
8. Bailey-Serres, J., Parker, J. E., Ainsworth, E. A., Oldroyd, G. E. D., & Schroeder, J. I. (2019). Genetic strategies for improving crop yields. Nature, 575, 109–118. https://doi.org/10.1038/s41586-019-1679-0
9. Bayyurt, N. & Yilmaz, S. (2012). The Impacts of Governance and Education on Agricultural Efficiency: An International Analysis. Procedia - Social and Behavioral Sciences, 58:1158-1165. https://doi.org/10.1016/j.sbspro.2012.09.1097.
10. Bernabéu, P. C. de J. (2022). Language and sensorimotor simulation in conceptual processing: Multilevel analysis and statistical power. Lancaster University.
11. Binswanger, H. P., & Deininger, K. (1997). Explaining agricultural and agrarian policies in developing countries, Policy Research Working Paper, The World Bank.
12. Blanco, C. & X. Raurich. (2022). Agricultural composition and labor productivity. Journal of Development Economics, 158, https://doi.org/10.1016/j.jdeveco.2022.102934
13. Bojic, D., Clark, M. & Urban, K. (2022). Focus on governance for more effective policy and technical support. Governance and policy support framework paper. Rome, FAO.
14. Briggs, J. (2009). Green revolution. In R. Kitchin & N. Thrift (Eds.), International encyclopaedia of human geography (pp. 634–638). Elsevier. https://doi.org/10.1016/B978-008044910-4.00099-7
15. Brown, V. A. (2021). An Introduction to Linear Mixed-Effects Modeling in R. Advances in Methods and Practices in Psychological Science, January-March, 4(1),1–19.
16. Chigara, B. T. (1994). International Aspects of Industrial Democracy. Managerial Law.
17. Davis, G., Casady, W., & Massey, R. (n.d.). Precision Agriculture: An Introduction (Surface, Ground Water and Watershed Protection). Outreach & Extension, University of Missouri Columbia.
18. De Abreu Paiva, P. H., & Bacha, C. J. C. (2020). The gross domestic product (GDP) shares of the agriculture sector and the hydrocarbon and mining sector in the countries of South America between 1960 and 2014. CEPAL Review, 2019(129), 27–49. https://doi.org/10.18356/0bf71480-en
19. De Schutter, O. (2014). The specter of productivism and food democracy. Wis. L. Rev., 199.
20. De Soyres, C., Wang, M., & Kawai, R. (2022). Public Debt and Real GDP: Revisiting the Impact. IMF Working Papers, 2022(076), 1. https://doi.org/10.5089/9798400207082.001
21. Douglas, B., M. Maechler, B. Bolker & S. Walker. (2015). Fitting Linear Mixed-Effects Models Using lme4. Journal of Statistical Software, 67(1):1-48. doi:10.18637/jss.v067.i01.
22. Drury, A. C., Krieckhaus, J., & Lusztig, M. (2006). Corruption, democracy, and economic growth. International Political Science Review, 27(2), 121–136.
23. EIU (2022). Democracy Index 2021: The China challenge. Accessed on September, 2022 at https://www.eiu.com/n/campaigns/democracy-index-2021/?utm
24. ERS- USDA (2023). Data on International Agricultural Productivity. Accessed on July 24, 2023 at https://www.ers.usda.gov/data-products/international-agricultural-productivity/
25. FAOSTAT (2022). Agriculture value added share of GDP. Accessed on November 24, 2022 at https://www.fao.org/faostat/en/#data/QV
26. Fleming, D. A. (2008). International Trade, Agricultural Productivity and Poverty: The Role of Product Tradability in the Chilean Case.
27. Fogel, R. W. (2007). Capitalism and democracy in 2040: Forecasts and speculations. National Bureau of Economic Research Cambridge, Mass., USA.
28. Food and Agriculture Organization (FAO) (2013). Reviewed strategic framework. FAO conference-thirty-eight session. Rome. Retrieved on 8th March, 2023 from: www.fao.org/docrep/meeting/027/mg015e.pdf.
29. Food and Agriculture Organization (FAO) (2022). Political economy governance incentives. Available at https://www.fao.org/3/cc0639en/online/sofi-2022/political-economy-governance-incentives.html. Retrieved on 6th March, 2023.
30. Fulginiti, L. E. (2010). What comes first, agricultural growth or democracy? Agricultural Economics, 41(1), 15–24.
31. Greyling, J. C., Vink, N., & Mabaya, E. (2015). South Africa’s agricultural sector twenty years after democracy (1994 to 2013). Professional Agricultural Workers Journal, 3(1), 10.
32. Hatt, S., Artru, S., Brédart, D., Lassois, L., Francis, F., Haubruge, É., Garré, S., Stassart, P. M., Dufrêne, M., Monty, A., & Boeraeve, F. (2016). Towards sustainable food systems: The concept of agroecology and how it questions current research practices. A review. BASE, 215–224. https://doi.org/10.25518/1780-4507.12997
33. Hayami, Y., & Ruttan, V. (1985). Agricultural Development: An International Perspective. John Hopkins University Press, Baltimore.
34. Isham, J., Kaufmann, D., & Pritchett, L. H. (1997). Civil liberties, democracy, and the performance of government projects. The World Bank Economic Review, 11(2), 219–242.
35. Jirgi, A. J., Jordaan, H., Grové, B., Viljoen, M. F., & Nmadu, J. N. (2015). Technical Efficiency of Millet / Cowpea Farmers in Kebbi State Nigeria: A Double Bootstrapping Approach. British Journal of Economics, Management & Trade, 5(3), 366–373. https://doi.org/10.9734/BJEMT/2015/14155
36. John, D. A., & Babu, G. R. (2021). Lessons From the Aftermaths of Green Revolution on Food System and Health. Front. Sustain. Food Syst., 5(644559), 1–6. https://doi.org/10.3389/fsufs.2021.644559
37. Kadilikansimba, P. B., A. S. Sife & G. M. Machimu. (2023). Effects of Socio-demographic Characteristics on Adoption of Improved Sorghum Farming Practices in Dodoma Region. International Journal of Agricultural Science: Research and Technology in Extension and Education Systems (IJASRT in EES), 13(3):145-157. https://dorl.net/dor/20.1001.1.22517588.2023.13.3.2.2
38. Lio, M. & Liu, M. (2008). Governance and agricultural productivity: Across national analysis. Food Policy, 33(6): 504-512.
39. Maake, M. M. S., & Antwi, M. A. (2022). Farmer’s perceptions of effectiveness of public agricultural extension services in South Africa: An exploratory analysis of associated factors. Agriculture & Food Security, 11(1), 34. https://doi.org/10.1186/s40066-022-00372-7
40. Maier, C. S. (1977). The politics of productivity: Foundations of American international economic policy after World War II. International Organization, 31(4), 607–633.
41. McFadden, B. R., & Stefanou, S. (2016). Another Perspective on understanding food democracy. Choices, 31(316-2016–7803).
42. Moosaei, M. & N. Afshari. (2023). Investigating the Role of Personalized Digital Extension Services on Agricultural Performance (A Case Study of Farmers in Fars Province). International Journal of Agricultural Science: Research and Technology in Extension and Education Systems (IJASRT in EES), 13(1):22-33. https://dorl.net/dor/ 20.1001.1.22517588.2023.13.1.3.9.
43. Mukhopadhyay, P., Sinha, M., & Sengupta, P. P. (2020). Importance of sustainable rural development through agrarian reforms: An Indian scenario. In Environmental and agricultural informatics: Concepts, methodologies, tools, and applications (pp. 1163–1180). IGI Global.
44. Munir, Q., Afzal, M., Sohail, K. & Afzal, H. (2018). Does democracy foster agricultural efficiency in Pakistan: A historical perspective. Paper presented at the 34th Annual conference of Pakistan Society of Development Economists. Theme: Revitalizing Agricultural sector. Held on 12th – 14th December, 2018 at Islamabad, Pakistan.
45. Munir, Q., Afzal, M., Sohail, K., & Afzal, H. (n.d.). Does democracy foster Agricultural Efficiency in Pakistan: A Historical Perspective.
46. Nin-Pratt, A., Falconi, C., Ludena, C. E., & Martel, P. (2015). Productivity and the performance of agriculture in Latin America and the Caribbean: From the lost decade to the commodity boom. IDB Working Paper Series.
47. Nin-Pratt, A., Yu, B., & Fan, S. (2010). Comparisons of agricultural productivity growth in China and India. Journal of Productivity Analysis, 33(3), 209–223.
48. Nkamleu, G. B. (2011). Extensification Versus Intensification: Revisiting the role of land in African agricultural growth. African Economic Conference. https://archive.uneca.org/sites/default/files/uploaded-documents/AEC/2011/nkamleu-extensification_versus_intensification_1.pdf
49. Nmadu, J. N. (2016). Evidence-Based Sustainable Agricultural Development in Nigeria through Econometric Modelling 0f Credible Data (Inaugural). Seminar and Colloquium Committee, Federal University of Technology.
50. Nmadu, J. N., & Simpa, J. O. (2014). Rethinking the Technical Efficiency of Small Scale Yam Farmers in Nigeria using Conventional and Non-Conventional Inefficiency Parameters. 58th AARES (Australian of Agricultural and Resource Economic Society) Annual Conferece, 1–17. http://ageconsearch.umn.edu
51. Norris, P. (2017). Why American Elections Are Flawed (and How to Fix Them), 1. Cornell University Press.
52. Olper, A. (2001). Determinants of agricultural protection: The role of democracy and institutional setting. Journal of Agricultural Economics, 52(2), 75–92.
53. Oyaniran, T. (2020, September). Current State of Nigeria Agriculture and Agribusiness Sector. AfCFTA WORKSHOP. www.pwc.com/ng/en/assets/pdf/afcfta-agribusiness-current-state-nigeria-agriculture-sector.pdf
54. Pere, E. (2015). The impact of good governance in the economic development of Western Balkan Countries. European Journal of Government and Economics, 14(1): 25-45.
55. Phillips, R. L. (2014). Green revolution: Past, present, and future. In N. K. Van Alfen (Ed.), Encyclopedia of agriculture and food systems (pp. 529–538). Academic Press. https://doi.org/10.1016/B978-0-444-52512-3.00208-4
56. Pingali, P. L. (2012). Green Revolution: Impacts, limits, and the path ahead. Proceedings of the National Academy of Sciences, 109(31), 12302–12308. https://doi.org/10.1073/pnas.0912953109
57. Pratt, A. N., & Fan, S. (2010). R & D Investment in National and International Agricultural Research: An Ex-ante Analysis of Productivity and Poverty Impact. http://www.ifpri.org/sites/default/files/publications/ifpridp00986.pdf
58. R Core Team (2022). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.
59. Ragasa, C., Ulimwengu, J., Randriamamonjy, J., & Badibanga, T. (2013). Assessment of the capacity, incentives, and performance of agricultural extension agents in Western Democratic Republic of Congo (Vol. 1283). Intl Food Policy Res Inst.
60. Rao, D. P., Coelli, T. J., & Alauddin, M. (2005). Agricultural productivity growth, employment and poverty in developing countries, 1970-2000. International Labour Office Geneva.
61. Rodrik, D. (1999). Democracies Pay Higher Wages. Quarterly Journal of Economics, 114(1): 707-738.
62. Ronaghi, M., Saghaian, S., Kohansal, M., Reed, M. & Ghorbani, M. (2020). The effects of good governance on the agricultural sector. International Journal of Agriculture and Environmental Research, 6(1): 11-31.
63. Sallawu, H., Oha, E., Barnabas, C., Oyebisi, K. L., Oyelami, S. O., Mohammed, U., Coker, A., & Nmadu, J. (2020). Levels and drivers of vulnerability to climate change by IFAD-VCDP farmers in North Central Nigeria. Nigerian Journal of Agricultural Economics, 10(1), 75–91. https://doi.org/10.22004/ag.econ.310899
64. Sertoğlu, K., Ugura, Sevin, & Bekun, F. V. (2017). The Contribution of Agricultural Sector on Economic Growth of Nigeria. International Journal of Economics and Financial Issue, 7(1), 547-552.
65. Shiva, V. (2005). Earth democracy: Justice, sustainability and peace. Zed Books.
66. Singh, P., Pandey, P. C., Petropoulos, G. P., Pavlides, A., Srivastava, P. K., Koutsias, N., Deng, K. A. K., & Bao, Y. (2020). 8—Hyperspectral remote sensing in precision agriculture: Present status, challenges, and future trends. In P. C. Pandey, P. K. Srivastava, H. Balzter, B. Bhattacharya, & G. P. Petropoulos (Eds.), Hyperspectral remote sensing (pp. 121–146). Elsevier. https://doi.org/10.1016/B978-0-08-102894-0.00009-7
67. Singmann, H., B. Bolker, J. Westfall, F. Aust & M. Ben-Shachar. (2023). _afex: Analysis of Factorial Experiments_. R package version 1.2-1, .
68. Steenwyk, P., Heun, M. K., Brockway, P., Sousa, T., & Henriques, S. (2022). The Contributions of Muscle and Machine Work to Land and Labor Productivity in World Agriculture Since 1800. Biophysical Economics and Sustainability, 7(2), 1–17. https://doi.org/10.1007/s41247-022-00096-z
69. Sui, F., Yang, Y., & Zhao, S. (2022). Labor Structure, Land Fragmentation, and Land-use Efficiency from the Perspective of Mediation Effect: Based on a Survey of Garlic Growers in Lanling, China. Land, 11, 952. https://doi.org/10.3390/land11060952
70. Swinnen, J. (2021). The political economy of agricultural and food policies. In Agricultural development: New perspectives in a changing world, eds. Keijiro Otsuka and Shenggen Fan. Part Three: Context for Agricultural Development, Chapter 14, Pp. 471-502. Washington, DC: International Food Policy Research Institute (IFPRI).
71. Thomson, H. (2017). Food and power: Agricultural policy under democracy and dictatorship. Comparative politics, 49(2): 273-293.
72. UNESCAP (United Nations Economic and Social Commission for Asia and the Pacific). (2014). What is Good Governance?. Available at: http://www.unescap.org/sites/default/files/good-governance.pdf. Accessed on 9th March, 2023.
73. Zepeda, L. (2001). Agricultural investment, production capacity and productivity. FAO Economic and Social Development Paper, 3--20.