Food prices response to global and national factors: Evidence beyond asymmetry

References

• Abbott, P. C., Hurt, C., & Tyner, W. E. (2008). What’s driving food prices? Farm Foundation Issue Report, No. 741-2016-51224.
   Google Scholar
• Ali, W., Gohar, R., Chang, B. H., & Wong, W. K. (2022). Revisiting the impacts of globalization, renewable energy consumption, and economic growth on environmental quality in South Asia. Advances in Decision Sciences, 26(3), 78–23.
   Google Scholar
• Anand, R., Kumar, N., & Tulin, V. (2016). Understanding India’s food inflation: The role of demand and supply factors. IMF Working Paper, 16(2), 1. https://doi.org/10.5089/9781513581347.001
   Google Scholar
• Arango, L. E., Arias, F., & Flórez, A. (2012). Determinants of commodity prices. Applied Economics, 44(2), 135–145. https://doi.org/10.1080/00036846.2010.500273
   Web of Science ®Google Scholar
• Arezki, M. R., & Bruckner, M. (2011). Food prices and political instability. International Monetary Fund Working Paper, No. 11/62.
   Google Scholar
• Ayhan, F., & Kartal, M. T. (2021). The macroeconomic drivers of non-performing loans (NPL): Evidence from selected countries with heterogeneous panel analysis. MANAS Social Sciences Journal, 10(2), 986–999. https://doi.org/10.33206/mjss.800648
   Google Scholar
• Baffes, J., & Dennis, A. (2013). Long-term drivers of food prices. In Gillson, I., & Fouad, A. (Eds.), Trade Policy and Food Security (pp. 17). World Bank.
   Google Scholar
• Baltzer, K., Hansen, H., & Lind, K. M. (2008). A Note on the Causes and Consequences of the rapidly increasing international food prices. University of Copenhagen, Institute of Food and Resource Economics, 56–78.
   Google Scholar
• Berkeley. (2021). Temperature, http://berkeleyearth.lbl.gov/auto/Global/Complete_TAVG_daily.txt, August 26, 2021.
   Google Scholar
• Bhat, J. A., Ganaie, A. A., & Sharma, N. K. (2018). Macroeconomic response to oil and food price shocks: A structural var approach to the Indian economy. International Economic Journal, 32(1), 66–90. https://doi.org/10.1080/10168737.2018.1446038
   Google Scholar
• Bhattacharya, R., Patnaik, I., & Shah, A. (2011), Monetary policy transmission in an emerging market setting, IMF Working Paper 11/5.
   Google Scholar
• Bloomberg. (2021). Bloomberg Terminal. August 26, 2021.
   Google Scholar
• Broock, W. A., Scheinkman, J. A., Dechert, W. D., & LeBaron, B. (1996). A test for independence based on the Correlation Dimension. Econometric Reviews, 15(3), 197–235. https://doi.org/10.1080/07474939608800353
   Google Scholar
• Campos, B. C. (2020). Are there asymmetric relations between real interest rates and agricultural commodity prices? testing for threshold effects of us real interest rates and Adjusted Wheat, Corn, and Soybean Prices. Empirical Economics, 59(1), 371–394. https://doi.org/10.1007/s00181-019-01636-1
   Web of Science ®Google Scholar
• CBRT. (2021). Electronic Data Distribution System, https://evds2.tcmb.gov.tr/index.php?/evds/serieMarket, August 26, 2021.
   Google Scholar
• Chang, B. H. (2020). Oil prices and E7 stock prices: An asymmetric evidence using multiple threshold nonlinear ARDL model. Environmental Science and Pollution Research, 27(35), 1–12. https://doi.org/10.1007/s11356-020-10277-2
   PubMed Web of Science ®Google Scholar
• Chang, B. H., Derindag, O. F., Hacievliyagil, N., & Canakci, M. (2022). Exchange rate response to economic policy uncertainty: Evidence beyond asymmetry. Humanities and Social Sciences Communications, 9(1), 1–14. https://doi.org/10.1057/s41599-022-01372-5
   Google Scholar
• Chang, B. H., Gohar, R., Derindag, O. F., & Uche, E. (2022). COVID-19, lockdown measures and their impact on food and healthcare prices: Empirical evidence using a dynamic ARDL model. Journal of Economic Studies, (ahead-of-print). https://doi.org/10.1108/JES-12-2021-0627
   Web of Science ®Google Scholar
• Chang, B. H., Meo, M. S., Syed, Q. R., & Abro, Z. (2019). Dynamic analysis of the relationship between stock prices and macroeconomic variables. South Asian Journal of Business Studies, 8(3), 229–245. https://doi.org/10.1108/SAJBS-06-2018-0062
   Web of Science ®Google Scholar
• Chang, B. H., & Rajput, S. K. O. (2018). Do the changes in macroeconomic variables have a symmetric or asymmetric effect on stock prices? Evidence from Pakistan. South Asian Journal of Business Studies, 7(3), 312–331. https://doi.org/10.1108/SAJBS-07-2018-0077
   Web of Science ®Google Scholar
• Chang, B. H., Rajput, S. K. O., Ahmed, P., & Hayat, Z. (2020). Does gold act as a hedge or a safe haven? Evidence from Pakistan. Pakistan Development Review, 59(1), 69–80. https://doi.org/10.30541/v59i1pp.69-80
   Google Scholar
• Chang, B. H., Rajput, S. K. O., & Bhutto, N. A. (2019). Impact of exchange rate volatility on the US exports: A new evidence from multiple threshold nonlinear ARDL model. Journal of International Commerce, Economics and Policy, 10(02), 1950009. https://doi.org/10.1142/S1793993319500091
   Google Scholar
• Chang, B. H., Rajput, S. K. O., Bhutto, N. A., & Abro, Z. (2020). The asymmetric effect of extreme changes in the exchange rate volatility on the US imports: Evidence from multiple threshold nonlinear ARDL model. Studies in Economics and Finance, 37(2), 293–309. https://doi.org/10.1108/SEF-03-2019-0122
   Web of Science ®Google Scholar
• Chang, B. H., Rajput, S. K. O., & Ghumro, N. H. (2018). Asymmetric impact of exchange rate changes on the trade balance: Does global financial crisis matter? Annals of Financial Economics, 13(04), 1850015. https://doi.org/10.1142/S201049521850015X
   Google Scholar
• D’agostino, A. L., & Schlenker, W. (2016). Recent weather fluctuations and agricultural yields: Implications for climate change. Agricultural Economics, 47(S1), 159–171. https://doi.org/10.1111/agec.12315
   Google Scholar
• Dercon, S. (2004). Growth and Shocks: Evidence from Rural Ethiopia. Journal of Development Economics, 74(2), 309–329. https://doi.org/10.1016/j.jdeveco.2004.01.001
   Web of Science ®Google Scholar
• Derindag, O. F., Chang, B. H., Gohar, R., & Salman, A. (2022). Exchange rate effect on the household consumption in BRICST Countries: Evidence from MATNARDL Model. Journal of International Commerce, Economics and Policy, 13(02), 2250010. https://doi.org/10.1142/S1793993322500107
   Web of Science ®Google Scholar
• Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 627, 74(366a), 427–431. https://doi.org/10.1080/01621459.1979.10482531
   Google Scholar
• Ertuğrul, H. M. (2021). The local currency oil price and food price relationship for Turkey: A dynamic correlation and time-frequency dependency analysis. International Journal of Monetary Economics and Finance, 14(3), 233–248. https://doi.org/10.1504/IJMEF.2021.116542
   Google Scholar
• Ertuğrul, H. M., & Seven, Ü. (2021). Dynamic spillover analysis of International and Turkish Food Prices. International Journal of Finance & Economics. https://doi.org/10.1002/ijfe.2517
   Web of Science ®Google Scholar
• Gilbert, C. L. (2010). How to understand high food prices. Journal of Agricultural Economics, 61(2), 398–425. https://doi.org/10.1111/j.1477-9552.2010.00248.x
   Web of Science ®Google Scholar
• Gohar, R., Bagadeem, S., Chang, B. H., & Zong, M. (2022). Do the income and price changes affect consumption in the emerging 7 countries? empirical evidence using quantile ardl model. Annals of Financial Economics, 2250024(04). https://doi.org/10.1142/S2010495222500245
   Google Scholar
• Gohar, R., Bhatty, K., Osman, M., Wong, W. K., & Chang, B. H. (2022). Oil prices and sectorial stock indices of Pakistan: Empirical evidence using bootstrap ARDL model. Advances in Decision Sciences, 26(4), 1–27.
   Google Scholar
• Gohar, R., Chang, B. H., Derindag, O. F., & Abro, Z. (2022). Nexus between consumption, income, and price changes: Asymmetric Evidence from NARDL Model. ETIKONOMI, 21(2), 213–228. https://doi.org/10.15408/etk.v21i2.23339
   Web of Science ®Google Scholar
• Gohar, R., Salman, A., Uche, E., Derindag, O. F., & Chang, B. H. (2022). Does us infectious disease equity market volatility index predict g7 stock returns? evidence beyond symmetry. Annals of Financial Economics, 2250028. https://doi.org/10.1142/S2010495222500282
   Google Scholar
• Goupillaud, P., Grossmann, A., & Morlet, J. (1984). Cycle-Octave and related transforms in seismic signal analysis. Geoexploration, 23(1), 85–102. https://doi.org/10.1016/0016-71428490025-5
   Google Scholar
• Hashmi, S. M., & Chang, B. H. (2021). Asymmetric effect of macroeconomic variables on the emerging stock indices: A quantile ARDL approach. International Journal of Finance & Economics, 28(1), 1006–1024. https://doi.org/10.1002/ijfe.2461
   Web of Science ®Google Scholar
• Hashmi, S. M., Chang, B. H., Huang, L., & Uche, E. (2022). Revisiting the relationship between oil prices, exchange rate, and stock prices: An application of quantile ARDL model. Resources Policy, 75, 102543. https://doi.org/10.1016/j.resourpol.2021.102543
   Web of Science ®Google Scholar
• Hashmi, S. M., Chang, B. H., & Shahbaz, M. (2021). Asymmetric effect of exchange rate volatility on India’s cross‐border trade: Evidence from global financial crisis and multiple threshold nonlinear autoregressive distributed lag model. Australian Economic Papers, 60(1), 64–97. https://doi.org/10.1111/1467-8454.12194
   Web of Science ®Google Scholar
• Hirvonen, K. (2016). Temperature Changes, Household Consumption, and Internal Migration: Evidence from Tanzania. American Journal of Agricultural Economics, 98(4), 1230–1249. https://doi.org/10.1093/ajae/aaw042
   Web of Science ®Google Scholar
• İ̇slam, M. S., & Wong, A. T. (2017). Climate Change and Food In/Security: A Critical Nexus. Environments, 4(2), 38–53. https://doi.org/10.3390/environments4020038
   Google Scholar
• Kara, E. (2017). Does US monetary policy respond to oil and food prices? Journal of International Money and Finance, 72, 118–126. https://doi.org/10.1016/j.jimonfin.2016.12.004
   Web of Science ®Google Scholar
• Kartal, M. T., Kirikkaleli, D., & Ayhan, F. (2021). Nexus between Non-performing loans and economic growth in emerging markets: evidence from Turkey with Wavelet Coherence Approach. International Journal of Finance & Economics, 1–11. https://doi.org/10.1002/ijfe.2474
   Web of Science ®Google Scholar
• Khatun, R., Roy, R., & Rahman, M. M. (2016). Impact of Remittances on Food Prices in Bangladesh. Journal of Institute of Bankers of Bangladesh, 62-63(1–2), 1–23.
   Google Scholar
• Kirikkaleli, D. (2021). Analyses of Wavelet coherence: financial risk and economic risk in China. Journal of Financial Economic Policy, 13(5), 587–599. https://doi.org/10.1108/JFEP-08-2019-0174
   Web of Science ®Google Scholar
• Kirikkaleli, D., & Darbaz, I. (2021). The causal linkage between energy price and food price. Energies, 14(14), 4182. https://doi.org/10.3390/en14144182
   Web of Science ®Google Scholar
• Koenker, R. (2005). Quantile Regression. Cambridge University Press.
   Google Scholar
• Kornher, L., & Kalkuhl, M. (2013). Food price volatility in developing countries and its determinants. No. 870-2016-60757. https://ageconsearch.umn.edu/record/156132/
   Google Scholar
• Kotyza, P., Czech, K., Wielechowski, M., Smutka, L., & Procházka, P. (2021). Sugar prices vs. financial market uncertainty in the time of crisis: Does COVID-19 induce structural changes in the relationship? Agriculture, 11(2), 93. https://doi.org/10.3390/agriculture11020093
   Google Scholar
• Letta, M., Montalbano, P., & Pierre, G. (2021). Weather Shocks, Traders’ Expectations, and Food Prices. American Journal of Agricultural Economics, 104(3), 1100–1119. https://doi.org/10.1111/ajae.12258
   Web of Science ®Google Scholar
• Levine, P. (2012). Monetary policy in an uncertain world: Probability models and the design of robust monetary rules. Indian Growth and Development Review, 5(1), 70–88. https://doi.org/10.1108/17538251211224141
   Google Scholar
• Li, Y., & Li, J. (2021). How Does China’s Economic Policy Uncertainty Affect the Sustainability of Its Net Grain Imports? Sustainability, 13(12), 6899. https://doi.org/10.3390/su13126899
   Web of Science ®Google Scholar
• Mallick, S. K., & Sousa, R. M. (2012). Real effects of monetary policy in large emerging economies. Macroeconomic Dynamics, 16(S2), 190–212. https://doi.org/10.1017/S1365100511000319
   Web of Science ®Google Scholar
• Maslow, A. H. (1943). A Theory of Human Motivation. Psychological Review, 50, 370–396. https://doi.org/10.1037/h0054346
   Web of Science ®Google Scholar
• Maydybura, A., Gohar, R., Salman, A., Wong, W. K., & Chang, B. H. (2022). The asymmetric effect of the extreme changes in the economic policy uncertainty on the exchange rates: evidence from emerging seven countries. Annals of Financial Economics, 2250031. https://doi.org/10.1142/S2010495222500312
   Web of Science ®Google Scholar
• Mitchell, D. (2008). A Note on Rising Food Prices. World Bank Policy Research Working Paper, No. 4682.
   Google Scholar
• Ott, H. (2012). Fertilizer markets and their interplay with commodity and food prices. Report for the European Commission Join Research Centre,
   Google Scholar
• Pal, D., & Mitra, S. K. (2019). Correlation dynamics of crude oil with agricultural commodities: A comparison between energy and food crops. Economic Modelling, 82, 453–466. https://doi.org/10.1016/j.econmod.2019.05.017
   Web of Science ®Google Scholar
• Peng, B., Chang, B. H., Yang, L., & Zhu, C. (2022). Exchange rate and energy demand in G7 countries: Fresh insights from Quantile ARDL model. Energy Strategy Reviews, 44, 100986. https://doi.org/10.1016/j.esr.2022.100986
   Web of Science ®Google Scholar
• Phillips, P. C., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346. https://doi.org/10.1093/biomet/75.2.335
   Web of Science ®Google Scholar
• Quiggin, J. (2007). Drought, Climate change and food prices in Australia. In School of Economics and School of Political Science and International Studies (pp. 3). University of Queensland.
   Google Scholar
• Salisu, A. A., Isah, K. O., Oyewole, O. J., & Akanni, L. O. (2017). Modelling oil price-inflation nexus: the role of Asymmetries. Energy, 125, 97–106. https://doi.org/10.1016/j.energy.2017.02.128
   Web of Science ®Google Scholar
• Schlenker, W., & Roberts, M. J. (2006). Nonlinear effects of weather on corn yields. Review of Agricultural Economics, 28(3), 391–398. https://doi.org/10.1111/j.1467-9353.2006.00304.x
   Google Scholar
• Schnepf, R. (2008). High Agricultural Commodity Prices: What are the Issues?. Library of Congress, Congressional Research Service.
   Google Scholar
• Sim, N., & Zhou, H. (2015). Oil Prices, US Stock Return, and the Dependence between Their Quantiles. Journal of Banking & Finance, 55, 1–8. https://doi.org/10.1016/j.jbankfin.2015.01.013
   Web of Science ®Google Scholar
• Sumberg, J., & Sabates-Wheeler, R. (2011). Linking agricultural development to school feeding in Sub-Saharan Africa: Theoretical Perspectives. Food Policy, 36(3), 341–349. https://doi.org/10.1016/j.foodpol.2011.03.001
   Web of Science ®Google Scholar
• Syed, Q. R., Malik, W. S., & Chang, B. H. (2019). Volatility spillover effect of federal reserve’s balance sheet on the financial and goods markets of indo-pak region. Annals of Financial Economics, 14(03), 1950015. https://doi.org/10.1142/S2010495219500155
   Google Scholar
• Taghizadeh-Hesary, F., Rasoulinezhad, E., & Yoshino, N. (2019). Energy and Food Security: Linkages through price volatility. Energy Policy, 128, 796–806. https://doi.org/10.1016/j.enpol.2018.12.043
   Web of Science ®Google Scholar
• Torrence, C., & Compo, G. P. (1998). A Practical Guide to Wavelet Analysis. Bulletin of the American Meteorological Society, 79(1), 61–78. doi:10.1175/1520-0477(1998)079<0061:APGTWA>2.0.CO;2
   Web of Science ®Google Scholar
• Troster, V. (2018). Testing for granger-causality in quantiles. Econometric Reviews, 37(8), 850–866. https://doi.org/10.1080/07474938.2016.1172400
   Web of Science ®Google Scholar
• TSI 2021. (2021 JulyAugust). Cpi. 26, 2021. https://data.tuik.gov.tr/Bulten/Index?p=T%C3%BCketici-Fiyat-Endeksi-Temmuz-2021-37385&dil=1
   Google Scholar
• Uche, E., Chang, B. H., & Effiom, L. (2022). Household consumption and exchange rate extreme dynamics: Multiple asymmetric threshold non‐linear autoregressive distributed lag model perspective. International Journal of Finance & Economics. https://doi.org/10.1002/ijfe.2601
   Web of Science ®Google Scholar
• Uche, E., Chang, B. H., & Gohar, R. (2022). Consumption optimization in G7 countries: Evidence of heterogeneous asymmetry in income and price differentials. Journal of International Commerce, Economics and Policy, 13(1), 2250002. https://doi.org/10.1142/S1793993322500028
   Google Scholar
• Verbicki, V. (2021). The Relationship of Oil and Food Prices in the European Union. ISM University of Management and Economics, Doctoral Dissertation.
   Google Scholar
• Wang, X., Chang, B. H., Uche, E., & Zhao, Q. (2022). The asymmetric effect of income and price changes on the consumption expenditures: Evidence from G7 countries using nonlinear bounds testing approach. Portuguese Economic Journal, 1–19. https://doi.org/10.1007/s10258-022-00229-8
   Web of Science ®Google Scholar
• WB. (2021). Commodity Prices, https://www.worldbank.org/en/research/commodity-markets, 705 August 1, 2021.
   Google Scholar
• Wen, J., Khalid, S., Mahmood, H., & Zakaria, M. (2021). Symmetric and asymmetric impact of economic policy uncertainty on food prices in China: A New Evidence. Resources Policy, 74, 102247. https://doi.org/10.1016/j.resourpol.2021.102247
   Web of Science ®Google Scholar
• Xiao, X., Tian, Q., Hou, S., & Li, C. (2019). Economic policy uncertainty and grain futures price volatility: Evidence from China. China Agricultural Economic Review, 11(4), 642–654. https://doi.org/10.1108/CAER-11-2018-0224
   Web of Science ®Google Scholar
• Zhang, C., & Qu, X. (2015). The effect of global oil price Shocks on China’s agricultural commodities. Energy Economics, 51, 354–364. https://doi.org/10.1016/j.eneco.2015.07.012
   Web of Science ®Google Scholar