EXPLANATORY POWER OF PRICE SHOCKS IN FOOD SECURITY EQUATION OF NET FOOD BUYERS IN NIGERIA

Yıl 2019, Cilt: 12 Sayı: 1, 83 - 92, 23.01.2019

Felix Achoja , Daniel Okeke

https://doi.org/10.25287/ohuiibf.462961

Öz

In a developing
country such as Nigeria, fluctuation in macroeconomic factors can bring about
food price shocks and food insecurity. It is important to investigate whether
food price shocks have impacted the food security status of net food buying
households. This study specifically examines the effect of food price shocks on
the food security status of net food buying households in Nigeria. Secondary
data were elicited from Central Bank of Nigeria (CBN) and NBS (National Bureau
of Statistics) for the 1995-2016 years period. In analyzing the collected data,
descriptive statistics (mean and percentage), coefficient of variation and
regression model were used. The result revealed that all macroeconomic factors
except exchange rate have a positive and significant relationship with food
price shock. The result also indicated a 64.35% variation in food price shock
with a variation of 38.07% in consumption expenditure (food security status)
over the time period. On account of this, minimum consumption expenditure was
over N1, 304 compared to the World Bank consumption expenditure per person.
Hence revealing that net buying households have extremely high cost of living
and low welfare status (food security status). On the basis of this findings.
It is recommended that the government should implement policies and regulations
that will control and stabilize those macroeconomic factors that can agitate
increases in food prices and cause food price shocks. This study had filled the
knowledge gap by providing information on the degree to which food price shocks
can affect the food security status of net food buying households in
Nigeria.  

 

Anahtar Kelimeler

Food, Price, Shocks, Consumption Expenditure

EXPLANATORY POWER OF PRICE SHOCKS IN FOOD SECURITY EQUATION OF NET FOOD BUYERS IN NIGERIA

Öz

In a developing country such as Nigeria, fluctuation in macroeconomic factors can bring about food price shocks and food insecurity. It is important to investigate whether food price shocks have impacted the food security status of net food buying households. This study specifically examines the effect of food price shocks on the food security status of net food buying households in Nigeria. Secondary data were elicited from Central Bank of Nigeria and National Bureau of Statistics for the 1995-2016 years period. In analyzing the collected data, descriptive statistics (mean and percentage), coefficient of variation and regression model were used. The result revealed that all macroeconomic factors except exchange rate have a positive and significant relationship with food price shock. The result also indicated a 64.35% variation in food price shock with a variation of 38.07% in consumption expenditure (food security status) over the time period. On account of this, minimum consumption expenditure was over N1,304 compared to the World Bank consumption expenditure per person. Hence revealing that net buying households have extremely high cost of living and low welfare status (food security status). On the basis of this findings. It is recommended that the government should implement policies and regulations that will control and stabilize those macroeconomic factors that can agitate increases in food prices and cause food price shocks. This study had filled the knowledge gap by providing information on the degree to which food price shocks can affect the food security status of net food buying households in Nigeria. 

Anahtar Kelimeler

Food security, Price shocks, Consumption expenditure, Net food buyers

Kaynakça

• Abiodun E.O., V.O. Okoruwa, O.I.Y. Ajani. (2009). “Cross-sectional Analysis of Food Demand in the North Central, Nigeria: The Quadratic Almost Ideal Demand System (QUAIDS) Approach.” China Agricultural Economic Review 1(2): 173– 193.
• Alem Y. and M. Söderbom. (2010). Household-Level Consumption in Urban Ethiopia: The Impact of Food Price Inflation and Idiosyncratic Shocks. CSAE WPS/2010-24.
• Alexander, C. and J. Wyeth. (1994). "Cointegration and Market Integration: An Application to the Indonesian Rice Market."Journal of Development Studies 30(2): 303-32.
• Alquist, R., and L. Kilian. (2010). “What Do We Learn from the Price of Crude Oil Futures?” Journal of Applied Econometrics 25 (4): 539–73.
• Alston, J. M., K. A. Foster, and R. D. Green. (1994). “Estimating Elasticities with the Linear Approximate Almost Ideal Demand System: Some Monte Carlo Results.” The Review of Economics and Statistics 76(2): 351-356.
• Anyawu, C. N. (1992). “President Babangida's Structural Adjustment Programme and Inflation in Nigeria.” Journal of Social Development in Africa 7(1): 5- 24.
• Anzuini, A., M. J. Lombardi, and P. Pagano. (2013). “The Impact of Monetary Policy Shocks on Commodity Prices.”International Journal of Central Banking 9(3): 119-144.
• Ardeni, P. G. (1989). “Does the Law of One Price Really Hold for Commodity Prices?” American Journal of Agricultural Economics 71: 303-328.
• Arndt, C., R. Benfica, N. Maximiano, A.M.D. Nucifora and J.T. Thurlow. (2008). "Higher Fuel and Food Prices: Impacts and Responses for Mozambique." Agricultural Economics 39(1): 497-511.
• Attanasio, O., V. Di Maro, V. Lechene, and D. Phillips. (2013). “Welfare Consequence of Increases in Food Prices in Rural Mexico and Colombia”. Journal of Development Economics 104: 136-151
• Attfield, C. L. F. (2004). A Comparison of the Translog and Almost Ideal Demand Models Discussion Paper No. 04/546.Department of Economics, University of Bristol BSS ITN UK.
• Badolo F. and F. Traore. (2012). Impact of Rising World Rice Prices on Poverty and Inequality in Burkina Faso. CERDI, Etudes et Documents, E 2012.22.
• Baffes, J. (1991). “Some Further Evidence on the Law of One Price.” American Journal of Agricultural Economics 4:21-37.
• Bakhshoodeh M. and M Piroozirad. (2003). Effects of Rice Price Change on Welfare: Evidence from Households in Fars Province, Iran. Paper for presentation at the International Conference on Policy Modeling, EcoMod2003, Istanbul, 3-5 July 2003.
• Ballino, C. (1990). “A Generalized Version of the Almost Ideal and Translog Demand Systems.”Economics Letters 34: 127-129
• Baltzer, K. (2013). International to Domestic Price Transmission in Fourteen Developing Countries during the 2007/8 Food Crisis. WIDER Working Paper 2013/031. Helsinki: UNU-WIDER.
• Banks, J., R. Blundell, and A. Lewbel. (1997). “Quadratic Engle Curves and Consumer Demand.” Review of Economics and Statistics 79: 527-539.
• Barsky, R. B. and L. Kilian. (2004). “Oil and the Macroeconomy Since the 1970s.” Journal of Economic Perspectives 18 (4): 115–34.
• Bibi, S., J. Cockburn, M. Coulibaly, and L. Tiberti. (2009). The Impact of the Increase in Food Prices on Child Poverty and the Policy Response in Mali. Innocenti Working Papers, United Nations Children’s Fund (UNICEF) ISSN: 1014-7837.
• CBN (2011). Monetary Policy, CBN, Abuja, Nigeria. Available at: http://www.cenbank.org/MonetaryPolicy/policy.asp.
• CBN (2012). 2012 Statistical Bulletin: Domestic Production, Consumption and Prices, CBN, Abuja, Nigeria. Available at: http://cenbank.org/documents/Statbulletin.asp.
• CBN (2013). Quarterly Statistical Bulletin, 2 (1) March 2013– Tables. CBN, Abuja, Nigeria. Available at: http://cenbank.org/documents/Statbulletin.asp.
• CBN (Central Bank of Nigeria). (2006). Statistical Bulletin 16(2), CBN, Abuja, Nigeria.
• Conforti. (2004). Price Transmission in selected Agricultural Markets. FAO Commodity and Trade Policy Research Working Paper 7. Rome: FAO.
• Cornia G. A. and L. Deotti. (2008). Millet Prices, Public Policy and Child Malnutrition: The Case of Niger in 2005. Innocenti Working Papers, United Nations Children’s Fund (UNICEF) ISSN: 1014-7837.
• Cudjoe, G., C. Breisinger, and X. Diao. (2008). Local Impacts of a Global Crisis: Food Price Transmission and Poverty Impacts in Ghana. IFPRI Discussion Paper 00842. Washington DC: International Food Policy Research Institute.
• Dabla-Norris, E. and H. Floerkemeier. (2006). Transmission Mechanisms of Monetary Policy in Armenia: Evidence from VAR Analysis.IMF Working Paper, WP/06/248.
• Deaton, A. (1989). “Rice Prices and Income Distribution in Thailand: A Non-parametric Analysis.” Economic Journal 99(395): 1–37.
• Deaton, A. S. and J. Muellbauer. (1980). “An Almost Ideal Demand System.” American Economic Review 70: 312-326.
• Easterly, W. (2005). “What Did Structural Adjustment Adjust?: The Association of Policies and Growth with Repeated IMF and World Bank Adjustment Loans.” Journal of Development Economics 76 (1).1–22. .
• FAO. (2014). Food Balance Sheet – Nigeria, FAOSTAT (Online Statistical database of the Food and Agricultural Organization of United Nations (FAO), Rome). Available at: http://faostat.fao.org/site/368/DesktopDefault.aspx?PageID=368#ancor.
• Ferreira, F. H. G., A. Fruttero, and P. Leite. (2011). Rising Food Prices and Household Welfare: Evidence from Brazil in 2008. ECINEQ 2011–200 June 2011.
• Frankel, J. A. (1986). “Expectations and Commodity Price Dynamics: The Overshooting Model.” American Journal of Agricultural Economics 68 (2): 344–48.
• Frankel, J. A. (2007). “The Effect of Monetary Policy on Real Commodity Prices.” In Asset Prices and Monetary Policy, ed. Campbell, J., University of Chicago Press, Chicago.
• Fulginiti, L. E., Perrin, R.K., and Yu, B. (2004). “Institutions and Agricultural Productivity in Sub-Saharan Africa.” Agricultural Economics 31(2): 169-180.
• Gardner, B. and K. Brooks.(1994). “Retail Food Prices and Market Integration in Russia.” American Journal of Agricultural Economics 76(3): 641-46.
• Gladwin, C. H. (1991). Structural Adjustment and African Women Farmers. University of Florida Press.
• Goletti, F. and S. Babu. (1994). “Market Liberalization and Integration of Maize Markets in Malawi.” Agricultural Economics 11: 311-324.
• Hamilton, J. D. (2009). “Understanding Crude Oil Prices.”Energy Journal 30(2): 179–206.
• Hasan S. A. (2013). The Impact of a Large Rice Price Increase on Welfare and Poverty in Bangladesh. Crawford School of Public Policy, Australian National University.
• Idrees, M., M. Asma, and Z. Khalid. (2012). “Welfare Impacts of Food Price Inflation in Pakistan.” International Food Research Journal 19(4): 1517-1531.
• Im, K., M. Pesaran, and Y. Shin. (2003). “Testing for Unit Roots in Heterogeneous Panels.” Journal of Econometrics 115: 53–74.
• Joseph, G. and Q. Wodon. (2008). Assessing the Potential Impact on Poverty of Rising Cereals Prices: The Case of Mali. Policy Research Working Paper 4744, The World Bank Human Development Network Development Dialogue on Values and Ethics.
• Kao, C. and M-H. Chiang. (2000). “On the Estimation and Inference of a Cointegrated Regression in Panel Data.”Advances in Econometrics 15: 179-222.
• Klein, L.R. and H. Rubin. (1947). “A Constant-elasticity Index of the Cost of Living.” Review of Economic Studies 15: 84-7.
• Koivu, T. (2010). Monetary Policy, Asset Prices and Consumption in China. BOFIT Discussion Papers 18, Bank of Finland, BOFIT Institute for Economies in Transition.
• Kripalani, R. H., J. H. Oh, A. Kulkarni, S. S. Sabade, H. S. Chaudhari. (2007). South Asian Summer Monsoon Precipitation Variability: Coupled Climate Model Simulations and Projections under IPCC AR4. Theoretical and Applied Climatology 90: 133-159.
• Kumar, P. (1998). Food Demand and Supply Projections for India. Agricultural Economics Policy Paper 98-01. Indian Agricultural Research Institute, New Delhi.
• Kumar, P., A. Kumar, S. Parappurathu, and S. S. Raju (2011). “Estimation of Demand Elasticity for Food Commodities in India.”Agricultural Economics Research Review 24: 1-14.
• Kumar, P., A. Kumar, S. Parappurathu, and S. S. Raju. (2011). “Estimation of Demand Elasticity for Food Commodities in India.”Agricultural Economics Research Review 24: 1-1.
• Leyaro, V. O., Morrissey, and T. Owens. (2009). Food Price Changes and Consumer Welfare in Tanzania 1991-2007. CREDIT Research Paper No. 10/01.
• Loughrey J. and C. O’Donoghue. (2011). The Welfare Impact of Price Changes on Household Welfare and Inequality 1999-2010. IZA Discussion Paper No. 5717.
• Maltsoglou, V., D. Dawe, and L. Tasciotti. (2010). Household Level Impacts of Increasing Food Prices in Cambodia. Environment and Natural Resources Management Working Paper No. 37. Rome: FAO.
• Mangani, R. (2011). The Effects of Monetary Policy on Prices in Malawi. Available at: http://dosen.narotama.ac.id/wp-content/uploads/2012/03/The-Effects-of-Monetary-Policy-on-Prices-in-Malawi.pdf
• Minot, N. (2011).Transmission of World Food Price Changes to Markets in Sub-Saharan Africa. IFPRI Discussion Paper 01059. Washington DC: International Food Policy Research Institute (IFPRI).
• Minot, N. (2014). “Food Price Volatility in Sub-Saharan Africa: Has It Really Increased?” Food Policy 45: 45–56.
• Minot, N. and Dewina, R. (2013). Impact of Food Price Changes on Household Welfare in Ghana. IFPRI Discussion Paper 01245.
• Mishkin, F. (2007). Monetary Policy Strategy. Cambridge, Mass: MIT Press.
• Mitchell, D. (2008). A Note on Rising Food Prices. World Bank Policy Research Working Paper 4682.
• Mittal, S. (2006).Structural Shift in Demand for Food: Projections for 2020. ICRIER Working Paper No 184.
• Mittal, S. (2007). “What Affects Changes in Cereal Consumption?” Economic and Political Weekly 42(5): 444-447.
• Mittal, S. (2008). Demand-Supply Trends and Projections of Food in India. ICRIER Working Paper No. 209.
• Mittal, S. (2009). Monitoring and Assessing Impact to Inform Policy Responses. IFPRI Issue Brief 55. Washington, DC: International Food Policy Research Institute.
• Mittal, S. (2010). “Application of the QUAIDS model to the Food sector in India.” Journal of Quantitative Economics 8(1).
• Moro, D. and P. Sckokai. (2000). “Heterogenous Preferences in Household Food Consumption in Italy.” European Review of Agricultural Economics 27:302–323.
• Musyoka M. P. and S. Bauer. (2012). Impacts of Rising Food Price on Household Welfare and Incidence of Food Insecurity in Kenya. Tropentag, September 19-21, 2012, Göttingen Kassel/ Witzenhausen,
• NBS (2012). The Nigeria Poverty Profile (2010) Report. Press Briefing by the Statistician General of the Federation / Chief Executive Officer, National Bureau of Statistics (NBS), held at NBS Headquarter on 13/02/2012, Abuja, Nigeria. Available at: http://www.proshareng.com/reports/4632.
• NBS. (2005). The Nigeria Poverty Profile 2004 Report. National Bureau of Statistics (NBS), Abuja, Nigeria.
• Nouve, K. and Q. Wodon. (2008). Impact of Rising Rice Prices and Policy Responses in Mali: Simulations with a Dynamic CGE Model. Policy Research Working Paper 4739.The World Bank Human Development Network Development Dialogue on Values and Ethics.
• Ogwumike, O. F. and A. B. Aromolaran. (2000). Poverty Dynamics in Nigeria. Rome: World Bank.
• Okrent A. and J. M. Alston. (2011). Demand for Food in the United States: A Review of the Literature, Evaluation of Previous Estimates and Presentation of New Estimates of Demand.
• Olomola, A. S. (2013). The Political Economy of Food Price Policy in Nigeria. WIDER Working Paper 2013/016. Helsinki: UNU-WIDER.
• Oxfam International. (2011). Oxfam Grow Campaign – Growing a Better Future: Food Justice in a Resource-Constrained World. Available at: http://www.oxfam.org.uk/resources/papers/downloads/growing-a-better-future-010611-en.pdf.
• Palaskas, T. and B. Harriss.(1993). “Testing Market Integration: New Approaches with Case Material from the West Bengal Food Economy." Journal of Development Studies 30:1-57.
• Pedroni, P. (1999). “Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors.”Oxford Bulletin of Economics and Statistics 61: 653–70.
• Pedroni, P. (2004). “Panel Cointegration; Asymptotic and Finite Sample Properties of Pooled Time Series Tests with an Application to the PPP Hypothesis.”Econometric Theory 20: 597–625.
• Persyn, D. and J. Westerlund. (2008). “Error-correction–based Cointegration Tests for Panel Data.” The Stata Journal 8(2): 232 – 241.
• Phillip, D., E. Nkonya, J. Pender, and O. A. Oni. (2008). Constraints to Increasing Agricultural Productivity in Nigeria. Brief No. 4, Nigeria Strategy Support Program. Washington DC: International Food Policy Research Institute.
• Poi, B. P. (2012).“Easy Demand System Estimation with Quaids.”Stata Journal 12: 433-446.
• Ramadan, R. and A. Thomas. (2010). Impacts of Rising Food Prices on the Egyptian Households’ Welfare.
• Ray, R. (1983). “Measuring the Costs of Children: An Alternative Approach.”Journal of Public Economics 22: 89-102.
• Reyes, C. M., A. B. Sobrevinas, J. Bancolita, and J. de Jesus. (2009). “Impact of Changes in the Prices of Rice and Fuel on Poverty in the Philippines.” PEP-CBMS Network Updates VI (2), March 2009. www.pep-net.org.
• Robles, M., and M. Torero. (2010). “Understanding the Impact of High Food Prices in Latin America.” Economía10 (20): 117-164.
• Salinger, M. J. (2005). “Climate Change Variability and Change: Past, Present, and Future - An Overview. “Climatic Change 70: 9-29.
• Sekhampu T. J. and D. Dubihlela. (2012). “The Impact of Rising Food Prices on the Households in a Low Income Township in South Africa.”Mediterranean Journal of Social Sciences 3(3). 46
• Sheng, T. Y., M. N. Shamsudin, Z. A. Mohamed, A. M. Abdullah, and A. Radam. (2008). “Food Consumption Behaviour of the Malays in Malaysia.”IIUM Journal of Economics and Management 16(2): 209-219.
• Shimeles A. and A. Delelegn. (2013). Rising Food Prices and Household Welfare in Ethiopia: Evidence from Micro Data. Working Paper Series 182. African Development Bank Group, Tunisia. www.afdb.org/
• Shinoj, P. and V. C. Mathur. (2006). “Analysis of Demand for Major Spices in India.” Agricultural Economics Research Review 19(2).
• Shittu A. M. (2014). “Off-farm Labour Supply and Production Efficiency of Farm Household in Rural Southwest Nigeria.” Agricultural and Food Economics 2:8.
• Singh, I., L. Squire, and J. Strauss. (1986). Agricultural Household Models: Extensions and applications. Baltimore: Johns Hopkins University Press.
• Stone, R. N. (1954). "Linear Expenditure Systems and Demand Analysis: An Application to the Pattern of British Demand." Economic Journal 64: 511-27.
• Swamy, G. and H. Biswanger. (1983): “Flexible consumer demand systems and linear estimation: food in India.” America Journal of Agricultural Economics 65(4).
• Takayama, T. and G. G. Judge. (1971). Spatial and Temporal Price Allocation Models. Amsterdam: North Holland.
• Taljaard, P., Z. Alemu, and H. Van Schalkwijk. (2004). “The Demand for Meat in South Africa: An Almost Ideal Estimation.”Agrekon43(4): 430-443.
• Tey, Y. S., S. Mad Nasir, M. Zainalabidin, A. Amin Mahir, and R. Alias. (2008). “A Complete Demand System of Food in Malaysia.” ICFAI University Journal of Agricultural Economics 5(3): 17-29.
• Theil, H. (1976). Theory and Measurement of Consumer Demand, Vol. II. Amsterdam: North-Holland Publishing Company.
• Tsimpo, C. and Q. Wodon. (2008). Rice Prices and Poverty in Liberia. Policy Research Working Paper 4742, The World Bank Human Development Network Development Dialogue on Values and Ethics.
• United Nations. (2009). United Nations Millennium Development Goals. Available at: http://www.un.org/millenniumgoals/.
• Von Braun, J. and G. Tadesse. (2012). Global Food Price Volatility and Spikes: An Overview of Costs, Causes, and Solutions. ZEF-Discussion Papers on Development Policy.
• VonCramon-Taubadel, S., and J.P. Loy. (1999). “The Identification of Asymmetric Price Transmission Processes with Integrated Time Series.”Jahrbucher for NationalokonomieundStatistik218: 85-106.
• Vu, L. and P. Glewwe. (2008). Impacts of Rising Food Prices on Poverty and Welfare in Vietnam. Department of Applied Economics University of Minnesota.
• Westerlund, J. (2007). “Testing for Error Correction in Panel Data.”Oxford Bulletin of Economics and Statistics 69: 709–748.
• Wood, B., C. Nelson, and L. Nogueira. (2010). Measuring the Welfare Impact of Food Price Increases on Mexican Households. University of Illinois at Urbana-Champaign.
• World Bank. (2008). World Development Indicators database. Washington, DC: World Bank.