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Abstract
Food inflation may affect poverty through changes in household purchasing power, but its relationship with poverty may differ depending on the direction of inflation-rate changes and the dimension of poverty examined. This study examines the asymmetric effects of food inflation on poverty depth and poverty severity across Indonesian provinces. Using a quantitative explanatory approach, the study considers provincial panel data for the period 2013–2024. Poverty depth is measured by the Poverty Gap Index (P1), while poverty severity is measured by the Poverty Severity Index (P2). Positive and negative changes in food inflation are examined separately, with economic growth and the open unemployment rate included as control variables. Panel regression analysis and Wald tests are employed to assess the relationships and test for asymmetry. The reported results indicate that positive and negative changes in food inflation are positively and statistically significantly associated with poverty depth, with coefficients of 0.086 (p = 0.0058) and 0.029 (p = 0.0389), respectively. The Wald test indicates a statistically significant difference between these coefficients (p = 0.0423). For poverty severity, positive changes in food inflation exhibit a positive and statistically significant association (β = 0.031, p = 0.0100), whereas negative changes are not statistically significant (β = 0.009, p = 0.1342). The corresponding Wald test does not provide sufficient evidence of asymmetry (p = 0.1395). These findings highlight the importance of distinguishing between poverty depth and poverty severity when examining the relationship between food inflation and poverty. The study provides a framework for understanding how changes in food inflation may be associated with different dimensions of poverty and offers considerations for food-price stabilization and poverty alleviation policies in Indonesia.
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References
- Baltagi, B. H. (2021). Econometric analysis of panel data (6th ed.). Springer. https://doi.org/10.1007/978-3-030-53953-5
- Breusch, T. S., & 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. https://doi.org/10.2307/2297111
- Cameron, A. C., & Trivedi, P. K. (2005). Microeconometrics: Methods and applications. Cambridge University Press.
- De Hoyos, R. E., & Medvedev, D. (2011). Poverty effects of higher food prices: A global perspective. Review of Development Economics, 15(3), 387–402. https://doi.org/10.1111/j.1467-9361.2011.00615.x
- Deaton, A. (1989). Rice prices and income distribution in Thailand: A non-parametric analysis. The Economic Journal, 99(395), 1–37. https://doi.org/10.2307/2234068
- Foster, J., Greer, J., & Thorbecke, E. (1984). A class of decomposable poverty measures. Econometrica, 52(3), 761–766. https://doi.org/10.2307/1913475
- Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46(6), 1251–1271. https://doi.org/10.2307/1913827
- Hertel, T. W., Ivanic, M., Preckel, P. V., & Cranfield, J. A. L. (2004). The earnings effects of multilateral trade liberalization: Implications for poverty. The World Bank Economic Review, 18(2), 205–236.
- Ivanic, M., & Martin, W. (2008). Implications of higher global food prices for poverty in low-income countries. Agricultural Economics, 39(s1), 405–416. https://doi.org/10.1111/j.1574-0862.2008.00347.x
- Pesaran, M. H. (2004). General diagnostic tests for cross section dependence in panels. Cambridge Working Papers in Economics, No. 0435. Faculty of Economics, University of Cambridge.
- Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289–326. https://doi.org/10.1002/jae.616
- Ravallion, M. (1990). Rural welfare effects of food price changes under induced wage responses: Theory and evidence for Bangladesh. Oxford Economic Papers, 42(3), 574–585.
- Ravallion, M. (1998). Poverty lines in theory and practice. Living Standards Measurement Study Working Paper No. 133. World Bank.
- Shin, Y., Yu, B., & Greenwood-Nimmo, M. (2014). Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. In W. C. Horrace & R. C. Sickles (Eds.), Festschrift in honor of Peter Schmidt: Econometric methods and applications (pp. 281–314). Springer. https://doi.org/10.1007/978-1-4899-8008-3_9
- Son, H. H. (2008). Conditional analysis of the impact of food price increases on poverty. Food Policy, 33(5), 436–443. https://doi.org/10.1016/j.foodpol.2008.04.003
- Timmer, C. P. (2008). Causes of high food prices. Asian Development Bank.
- Wooldridge, J. M. (2010). Econometric analysis of cross section and panel data (2nd ed.). MIT Press.
- World Bank. (2018). Poverty and shared prosperity 2018: Piecing together the poverty puzzle. World Bank. https://doi.org/10.1596/978-1-4648-1330-6
- World Bank. (2020). Poverty and shared prosperity 2020: Reversals of fortune. World Bank. https://doi.org/10.1596/978-1-4648-1602-4
- World Bank. (2022). Poverty and shared prosperity 2022: Correcting course. World Bank. https://doi.org/10.1596/978-1-4648-1893-6
References
Baltagi, B. H. (2021). Econometric analysis of panel data (6th ed.). Springer. https://doi.org/10.1007/978-3-030-53953-5
Breusch, T. S., & 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. https://doi.org/10.2307/2297111
Cameron, A. C., & Trivedi, P. K. (2005). Microeconometrics: Methods and applications. Cambridge University Press.
De Hoyos, R. E., & Medvedev, D. (2011). Poverty effects of higher food prices: A global perspective. Review of Development Economics, 15(3), 387–402. https://doi.org/10.1111/j.1467-9361.2011.00615.x
Deaton, A. (1989). Rice prices and income distribution in Thailand: A non-parametric analysis. The Economic Journal, 99(395), 1–37. https://doi.org/10.2307/2234068
Foster, J., Greer, J., & Thorbecke, E. (1984). A class of decomposable poverty measures. Econometrica, 52(3), 761–766. https://doi.org/10.2307/1913475
Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46(6), 1251–1271. https://doi.org/10.2307/1913827
Hertel, T. W., Ivanic, M., Preckel, P. V., & Cranfield, J. A. L. (2004). The earnings effects of multilateral trade liberalization: Implications for poverty. The World Bank Economic Review, 18(2), 205–236.
Ivanic, M., & Martin, W. (2008). Implications of higher global food prices for poverty in low-income countries. Agricultural Economics, 39(s1), 405–416. https://doi.org/10.1111/j.1574-0862.2008.00347.x
Pesaran, M. H. (2004). General diagnostic tests for cross section dependence in panels. Cambridge Working Papers in Economics, No. 0435. Faculty of Economics, University of Cambridge.
Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289–326. https://doi.org/10.1002/jae.616
Ravallion, M. (1990). Rural welfare effects of food price changes under induced wage responses: Theory and evidence for Bangladesh. Oxford Economic Papers, 42(3), 574–585.
Ravallion, M. (1998). Poverty lines in theory and practice. Living Standards Measurement Study Working Paper No. 133. World Bank.
Shin, Y., Yu, B., & Greenwood-Nimmo, M. (2014). Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. In W. C. Horrace & R. C. Sickles (Eds.), Festschrift in honor of Peter Schmidt: Econometric methods and applications (pp. 281–314). Springer. https://doi.org/10.1007/978-1-4899-8008-3_9
Son, H. H. (2008). Conditional analysis of the impact of food price increases on poverty. Food Policy, 33(5), 436–443. https://doi.org/10.1016/j.foodpol.2008.04.003
Timmer, C. P. (2008). Causes of high food prices. Asian Development Bank.
Wooldridge, J. M. (2010). Econometric analysis of cross section and panel data (2nd ed.). MIT Press.
World Bank. (2018). Poverty and shared prosperity 2018: Piecing together the poverty puzzle. World Bank. https://doi.org/10.1596/978-1-4648-1330-6
World Bank. (2020). Poverty and shared prosperity 2020: Reversals of fortune. World Bank. https://doi.org/10.1596/978-1-4648-1602-4
World Bank. (2022). Poverty and shared prosperity 2022: Correcting course. World Bank. https://doi.org/10.1596/978-1-4648-1893-6