Climatic Variations and Spatial Price Differentials of Perishable Foods in Nigeria

  • Lateef Olawale Akanni Centre for the Study of the Economies of Africa, Nigeria
Keywords: Climatic Variations, Normalised Difference Vegetation Index, Perishable Foods, Spatial Price, Panel ARDL


In this study, we attempt to examine the factors that explain the spatial price differentials of selected perishable food crops across Nigerian markets. Based on monthly market prices of onions and tomatoes across different States, we examine the implications of climatic variations, cost of transportation and differences in economic sizes on the price spread of these items. The empirical findings from the dynamic heterogeneous panel regressions show that these factors have significant long-run impacts on the difference in food prices across markets. The results highlight these factors are vital in regional price spreads for agricultural commodities and hence the need for specific policies to reduce the vulnerability of prices to these factors, particularly transfer costs. Policies geared towards improving agriculture value-chain could offer pathways towards mitigating food loss and waste associated with changing climate and transfer costs, and thereby reduction in prices.


Balcombe, K. and Morrison, J. (2002). Commodity price transmission: A critical review of techniques and an application to selected export commodities. A study for the Food and Agricultural Organization (ESCR) of the United Nations, Rome, Italy.

Barnett, W. A., Bhadury, S. S., and Ghosh, T. (2016). An SVAR Approach to Evaluation of Monetary Policy in India: Solution to the Exchange Rate Puzzles in an Open Economy. Open Economies Review, 27(5):871–893.

Becker-Reshef, I., Justice, C., Sullivan, M., Vermote, E., Tucker, C., Anyamba, A., Small, J., Pak, E., Masuoka, E., Schmaltz, J., et al. (2010). Monitoring global croplands with coarse resolution earth observations: The Global Agriculture Monitoring (GLAM) project. Remote Sensing, 2(6):1589–1609.

Benson, T., Mugarura, S., and Wanda, K. (2008). Impacts in Uganda of rising global food prices: the role of diversified staples and limited price transmission. Agricultural Economics, 39:513–524.

Birthal, P., Negi, A., and Joshi, P. (2019). Understanding causes of volatility in onion prices in India. Journal of Agribusiness in Developing and Emerging Economies, 9(3):255–275.

Bouayad-Agha, S. and Vedrine, L. (2010). Estimation strategies for a spatial dynamic panel using GMM. A new approach to the convergence issue of European regions. Spatial Economic Analysis, 5(2):205–227.

Breusch, T. S. and Pagan, A. R. (1980). The Lagrange multiplier test and its applications to model specification in econometrics. The review of economic studies, 47(1):239–253.

Brown, M. E. (2014). Food security, food prices and climate variability. Routledge.

Brown, M. E. and Kshirsagar, V. (2015). Weather and international price shocks on food prices in the developing world. Global Environmental Change, 35:31–40.

Chudik, A., Mohaddes, K., Pesaran, M. H., and Raissi, M. (2013). Debt, inflation and growth: robust estimation of long-run effects in dynamic panel data models. Cafe Research Paper, 13(23).

Chudik, A., Mohaddes, K., Pesaran, M. H., Raissi, M., Hashem Pesaran, M., Abbas, A., and Wynne, M. (2015). Is There a Debt-threshold Effect on Output Growth? Technical report, IMF Working Paper Asia and Pacific Department.

Ditzen, J. (2019). Estimating long run effects in models with cross-sectional dependence using xtdcce2. Technical Report 7, CEERP Working Paper.

Dorward, A. (2012). The short-and medium-term impacts of rises in staple food prices. Food security, 4(4):633–645.

Duan, Y. and Liu, J. (2019). Optimal dynamic pricing for perishable foods with quality and quantity deteriorating simultaneously under reference price effects. International Journal of Systems Science: Operations & Logistics, 6(4):346–355.

Essam, T. M. (2013). Analyzing millet price regimes and market performance in Niger with remote sensing data. PhD thesis, University of Maryland. Retrieved from

Fackler, P. L. and Goodwin, B. K. (2001). Spatial price analysis. Handbook of agricultural economics, 1:971–1024.

Faminow, M. D. and Benson, B. L. (1990). Integration of spatial markets. American Journal of Agricultural Economics, 72(1):49–62.

FAO (2016). Key facts on food loss and waste you should know! Retrieved August 27, 2019, from Food and Agriculture Organization of the United Nations website:

Funk, C. and Budde, M. E. (2009). Phenologically-tuned MODIS NDVI-based production anomaly estimates for Zimbabwe. Remote Sensing of Environment, 113(1):115–125.

Grace, K., Brown, M., and McNally, A. (2014). Examining the link between food prices and food insecurity: A multi-level analysis of maize price and birthweight in Kenya. Food Policy, 46:56–65.

McCarl, B. A., Villavicencio, X., and Wu, X. (2008). Climate change and future analysis: is stationarity dying? American Journal of Agricultural Economics, 90(5):1241–1247.

Pesaran, M. H. (2004). General diagnostic tests for cross section dependence in panels. CESifo working paper series. Retrieved from CESifo working paper series website:

Pesaran, M. H. (2007). A simple panel unit root test in the presence of cross-section dependence. Journal of applied econometrics, 22(2):265–312.

Pesaran, M. H. (2015). Testing weak cross-sectional dependence in large panels. Econometric Reviews, 34(6-10):1089–1117.

Pesaran, M. H., Shin, Y., and Smith, R. P. (1997). Pooled Estimation of Long-run Relationships in Dynamic Heterogeneous Panels. Cambridge Working Papers in Economics 9721, Faculty of Economics, University of Cambridge.

Pesaran, M. H., Shin, Y., and Smith, R. P. (1999). Pooled mean group estimation of dynamic heterogeneous panels. Journal of the American Statistical Association, 94(446):621–634.

Pesaran, M. H. and Smith, R. (1995). Estimating long-run relationships from dynamic heterogeneous panels. Journal of econometrics, 68(1):79–113.

Rapsomanikis, G., Hallam, D., and Conforti, P. (2006). Market integration and price transmission in selected food and cash crop markets of developing countries: review and applications. Agricultural Commodity Markets and Trade, pages 187–217.

Rashid, S. and Minot, N. (2010). Are staple food markets in Africa efficient. In Prepared for the Comesa policy seminar on “Food price variability: Causes, consequence, and policy options”, Maputo, Mozambique, pages 25–26.

Schreinemachers, P., Simmons, E. B., and Wopereis, M. C. (2018). Tapping the economic and nutritional power of vegetables. Global food security, 16:36–45.

Sheahan, M. and Barrett, C. B. (2017). Food loss and waste in Sub-Saharan Africa. Food Policy, 70:1–12.

Shinyekwa, I. M. and Ijjo, A. T. (2016). Determinants Of Domestic Food Price Differentials In Uganda: The Potential for and Constraints on Intra-County Trade. Economic Policy Research Centre (EPRC).

Sivakumar, M., Das, H., and Brunini, O. (2005). Impacts of present and future climate variability and change on agriculture and forestry in the arid and semi-arid tropics. In Increasing climate variability and change, pages 31–72. Springer.

Wieben, E. (2017). Save food for a better climate: converting the food loss and waste challenge into climate action. FAO. Retrieved from

How to Cite
Akanni, L. (2019). Climatic Variations and Spatial Price Differentials of Perishable Foods in Nigeria. Econometric Research in Finance, 5(1), 1 - 15.
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