RURAL AND URBAN INFLATION IN MAHARASHTRA: A COMPARATIVE STUDY (2014–15 TO 2024–25)
DOI:
https://doi.org/10.65327/ans.v10i1.2576Keywords:
consumer price index, rural inflation, urban inflation, Maharashtra, food prices, price stabilityAbstract
Rural and urban areas are affected by inflation differently due to differences in consumption patterns, expenditure priorities, and exposure to commodity price fluctuations, which affect household purchasing power and living standards. Recognizing those differences is fundamental for the formulation of efficient policies on how to manage inflation and encourage economic stability. This study compares and analyzes rural and urban Consumer Price Index (CPI) inflations for Maharashtra state that includes ten annual observations with financial-year labels from 2014–15 to 2023–24, with the simultaneous application of the official averaging conventions applicable to some of the observations during the Covid period and the use of provisional data for April-December 2024, based on the National Statistical Office (NSO) official statistics and the Economic Survey of Maharashtra. To analyze the inflation trends, volatility, co-movement and rural–urban disparities, descriptive statistics, graphical trend analysis, paired-samples t-test and Pearson correlation were used. Results showed that mean rural inflation rate was 5.31% and urban inflation rate was 4.93% with a mean difference of 0.38 percentage point. No statistically significant difference was found, t(9) = 0.66, p = .528, and the effect size of this difference was small (Cohen's dz = .21) as indicated by the paired comparison. There were significant inter-annual fluctuations with higher rural inflation in 2015–16 and higher urban inflation in 2018–19. The rural inflation for April-December 2024 was 3.9% while for urban was 4.5% in provisional data. These patterns are partly due to differences in the composition of the CPI baskets, specifically in rural areas, the composition of food and in urban areas, the composition of housing and services. The study attempts to highlight the need for rural and urban inflation to be monitored separately in order to formulate specific economic policies.
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References
Ahmed, M., & Singla, N. (2017). Market integration and price transmission in major onion markets of India. Economic Affairs, 62(3), 405–417. https://doi.org/10.5958/0976-4666.2017.00051.1
Ahmed, M., & Singla, N. (2023). Spatial market integration, price transmission and transaction costs in major onion markets of India. The Indian Economic Journal, 71(3), 532–547. https://doi.org/10.1177/00194662231159851
Alex, D. (2025). Inflation targeting and the changing transmission mechanism of monetary policy in India. Economic Modelling, 151, 107141. https://doi.org/10.1016/j.econmod.2025.107141
Anand, R., Ding, D., & Tulin, V. (2014). Food inflation in India: The role for monetary policy. IMF Working Papers, 2014(178). International Monetary Fund. https://doi.org/10.5089/9781484392096.001
Andrle, M., & Blagrave, P. (2020). Agricultural market integration in India. IMF Working Papers, 2020(115). International Monetary Fund. https://doi.org/10.5089/9781513549163.001
Anwar, R., & Guha, A. (2023). A study on dynamics of food inflation in India. The Indian Economic Journal, 71(5), 783–804. https://doi.org/10.1177/00194662231186555
Anwar, R., & Guha, A. (2025). Does monetary policy affect urban food inflation? Some evidence from India. Review of Development Economics, 29(4), 2397–2413. https://doi.org/10.1111/rode.13225
Aykara, A., & Mukherjee, J. (2025). Inflation expectation, output gap and exchange rate: Navigating India’s monetary policy reaction. Journal of the Asia Pacific Economy. https://doi.org/10.1080/13547860.2025.2545201
Balakrishnan, P., & Parameswaran, M. (2025). Inflation in India: Dynamics, distributional impact and policy implication. Structural Change and Economic Dynamics, 74, 556–566. https://doi.org/10.1016/j.strueco.2025.05.015
Bhat, J. A., Nain, M. Z., & Bhat, S. A. (2024). Exchange rate pass-through to consumer prices in India: Nonlinear evidence from a smooth transition model. International Journal of Finance & Economics, 29(1), 927–942. https://doi.org/10.1002/ijfe.2714
Ceballos, F., Hernandez, M. A., Minot, N., & Robles, M. (2016). Transmission of food price volatility from international to domestic markets: Evidence from Africa, Latin America, and South Asia. In M. Kalkuhl, J. von Braun, & M. Torero (Eds.), Food price volatility and its implications for food security and policy. Springer. https://doi.org/10.1007/978-3-319-28201-5_13
Chatterjee, T., & Ganesh-Kumar, A. (2025). Price cluster approach to testing market integration and identifying its determinants: Analysis for Indian agriculture. Australian Journal of Agricultural and Resource Economics, 69(4), 934–946. https://doi.org/10.1111/1467-8489.70042
Dash, P., & Lugauer, S. (2024). Do global food commodity prices determine inflation in India? The Indian Economic Journal. https://doi.org/10.1177/00194662241297407
Furceri, D., Loungani, P., Simon, J., & Wachter, S. (2015). Global food prices and domestic inflation: Some cross-country evidence. IMF Working Papers, 2015(133). International Monetary Fund. https://doi.org/10.5089/9781513542973.001
Ghosh, S., & Kanjilal, K. (2014). Oil price shocks on Indian economy: Evidence from Toda–Yamamoto and Markov regime-switching VAR. Macroeconomics and Finance in Emerging Market Economies, 7(1), 122–139. https://doi.org/10.1080/17520843.2013.856333
Ghosh, S., Singh, K. N., Thangasamy, A., Datta, D., & Lama, A. (2020). Forecasting of onion price and volatility movements using ARIMAX-GARCH and DCC models. The Indian Journal of Agricultural Sciences, 90(5), 1009–1013. https://doi.org/10.56093/ijas.v90i5.104384
Ghosh, T., Sahu, S., & Chattopadhyay, S. (2021). Inflation expectations of households in India: Role of oil prices, economic policy uncertainty, and spillover of global financial uncertainty. Bulletin of Economic Research, 73(2), 230–251. https://doi.org/10.1111/boer.12244
Ginn, W., & Pourroy, M. (2022). The contribution of food subsidy policy to monetary policy in India. Economic Modelling, 113, 105904. https://doi.org/10.1016/j.econmod.2022.105904
Goyal, A., & Parab, P. (2021). What influences aggregate inflation expectations of households in India? Journal of Asian Economics, 72, 101260. https://doi.org/10.1016/j.asieco.2020.101260
Government of Maharashtra. (2021). Economic Survey of Maharashtra 2020–21. Directorate of Economics and Statistics, Planning Department. https://mahades.maharashtra.gov.in/files/publication/ESM_2020_21_Eng_Book.pdf
Government of Maharashtra. (2024). Economic Survey of Maharashtra 2023–24. Directorate of Economics and Statistics, Planning Department.
Government of Maharashtra. (2025). Economic Survey of Maharashtra 2024–25. Directorate of Economics and Statistics, Planning Department. https://www.mahades.maharashtra.gov.in/
Kozicka, M., Kalkuhl, M., & Brockhaus, J. (2017). Food grain policies in India and their implications for stocks and fiscal costs: A dynamic partial equilibrium analysis. Journal of Agricultural Economics, 68(1), 98–122. https://doi.org/10.1111/1477-9552.12176
Kumar, A., & Dash, P. (2020). Changing transmission of monetary policy on disaggregate inflation in India. Economic Modelling, 92, 109–125. https://doi.org/10.1016/j.econmod.2020.07.016
Kumar, M., Shaikh, A. S., & Sharma, R. K. (2022). Market integration and price transmission analysis of onion in wholesale markets of India. Asian Journal of Agricultural Extension, Economics & Sociology, 40(12), 164–171. https://doi.org/10.9734/ajaees/2022/v40i121778
Kumar, R. R., Jha, G. K., Choudhary, K., & Mishra, D. C. (2020). Spatial integration and price transmission among major potato markets in India. The Indian Journal of Agricultural Sciences, 90(3), 581–584. https://doi.org/10.56093/ijas.v90i3.101488
Manogna, R. L., Dharmaji, V., & Sarang, S. (2025). A novel hybrid neural network-based volatility forecasting of agricultural commodity prices: Empirical evidence from India. Journal of Big Data, 12, 85. https://doi.org/10.1186/s40537-025-01131-8
Mendali, G., & Das, S. (2017). Exchange rate pass-through to domestic prices: The Indian experience. Foreign Trade Review, 52(3). https://doi.org/10.1177/0015732516650828
Ministry of Statistics and Programme Implementation. (2025). Consumer Price Index portal: Availability of indices. Government of India. https://www.cpi.mospi.gov.in/
Mitra, S. K., & Chattopadhyay, M. (2017). The nexus between food price inflation and monsoon rainfall in India: Exploring through comparative data mining models. Climate and Development, 9(7), 584–592. https://doi.org/10.1080/17565529.2016.1174662
Mittal, S., Hariharan, V. K., & Subash, S. P. (2018). Price volatility trends and price transmission for major staples in India. Agricultural Economics Research Review, 31(1), 65–74. https://doi.org/10.5958/0974-0279.2018.00006.X
Pattanaik, S., Muduli, S., & Ray, S. (2020). Inflation expectations of households: Do they influence wage-price dynamics in India? Macroeconomics and Finance in Emerging Market Economies, 13(3), 244–263. https://doi.org/10.1080/17520843.2020.1720264
Paul, U. K., Das, G., Debnath, A., & Mathur, T. (2016). Market integration and price leadership in India’s onion market. Review of Market Integration, 8(1–2), 49–64. https://doi.org/10.1177/0974929216687881
Peer, A. H., Baig, M. A., & Adil, M. H. (2024). Spatial dynamics of inflation in India: An econometric analysis. Macroeconomics and Finance in Emerging Market Economies. https://doi.org/10.1080/17520843.2024.2424071
Peer, A. H., Rizvi, I., Wani, G. A., & Baig, M. A. (2025). Spatial dynamics of food inflation in India: Insights from club convergence analysis. Journal of Social and Economic Development, 27(3), 917–934. https://doi.org/10.1007/s40847-024-00388-8
Ranadive, R. R., & Burange, L. G. (2015). Transmission mechanism of exchange rate pass-through in India. Foreign Trade Review, 50(4). https://doi.org/10.1177/0015732515598589
Saha, N., Kar, A., Jha, G. K., Kumar, P., Venkatesh, P., & Kumar, R. R. (2021). Integration of prices in major markets of onion and potato in India. The Indian Journal of Agricultural Sciences, 91(9), 1290–1295. https://doi.org/10.56093/ijas.v91i9.116072
Samal, A., & Goyari, P. (2022). Does monetary policy stabilise food inflation in India? Evidence from quantile regression analysis. Australian Economic Review, 55(3), 361–372. https://doi.org/10.1111/1467-8462.12474
Samal, A., & Goyari, P. (2023). Food price inflation and relative price variability in India: Evidence from decomposition analysis. Studies in Microeconomics, 11(3), 320–339. https://doi.org/10.1177/23210222221086404
Sanyal, A. (2025). From farm to table: How supply shocks are fuelling food inflation in India. Journal of Asian Economics, 101, 102066. https://doi.org/10.1016/j.asieco.2025.102066
Sasmal, J. (2015). Food price inflation in India: The growing economy with sluggish agriculture. Journal of Economics, Finance and Administrative Science, 20(38), 30–40. https://doi.org/10.1016/j.jefas.2015.01.005
Sharma, N. K., & Bicchal, M. (2015). Measuring core inflation in India: An asymmetric trimmed mean approach. Cogent Economics & Finance, 3(1), 1014252. https://doi.org/10.1080/23322039.2015.1014252
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