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Published in: Social Indicators Research 3/2022

05-01-2022 | Original Research

The Economic Perspective of Food Poverty and (In)security: An Analytical Approach to Measuring and Estimation in Italy

Authors: Stefano Marchetti, Luca Secondi

Published in: Social Indicators Research | Issue 3/2022

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Abstract

The UN Sustainable Development Goals have set clear targets on global poverty, hunger and malnutrition to be achieved by 2030, which have prompted academics and policymakers to identify useful strategies and drivers. Moreover, the COVID19 pandemic has exacerbated inequalities at national and sub-national levels thus hampering the achievement of these goals. On considering the multifaceted nature of poverty, a recent research strand focuses on food poverty and insecurity issues in terms of economic access to food and healthy diet consumption, with moderate and extreme food insecurity affecting almost 9% of the population in Europe and North America. This paper aims to analyse food poverty and insecurity at regional level in Italy. Using micro-data from the Italian Household Budget Survey carried out by ISTAT, an analytical approach was proposed to define and measure the different degree of food poverty and insecurity. Moreover, to obtain insights into whether food poverty and insecurity can afford population healthy nutrition, inequality of the distributions of food expenditure categories are estimated. The results provided us with information on other important aspects of the poverty. Indeed, in Italy individuals who are at-risk-of-food-poverty or food insecure amount to 22.3% of the entire population. Furthermore, the at-risk-of-food-poverty-rate varies at regional level from 14.6% (Umbria) to 29.6% (Abruzzo), with high levels of food consumption inequalities observed above all for vegetables, meat and fish. All these issues could help policy makers to define economic intervention policies aimed at reducing social exclusion and achieving more equitable and sustainable living conditions for the entire population.

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Literature
go back to reference Alaimo, L. S., & Maggino, F. (2020). Sustainable development goals indicators at territorial level: Conceptual and methodological issues-The Italian perspective. Social Indicators Research, 147(2), 383–419.CrossRef Alaimo, L. S., & Maggino, F. (2020). Sustainable development goals indicators at territorial level: Conceptual and methodological issues-The Italian perspective. Social Indicators Research, 147(2), 383–419.CrossRef
go back to reference Armstrong, J., Oliveira, L., Korpi-Salmela, K., & Lopez, J. (2019). The Integrated Phase Classification approach as an example of comprehensive system approaches. In Food security policy, evaluation and impact assessment, pp. 206–218. Routledge. Armstrong, J., Oliveira, L., Korpi-Salmela, K., & Lopez, J. (2019). The Integrated Phase Classification approach as an example of comprehensive system approaches. In Food security policy, evaluation and impact assessment, pp. 206–218. Routledge.
go back to reference Bai, Y., Alemu, R., Block, S. A., Headey, D., & Masters, W. A. (2021). Cost and affordability of nutritious diets at retail prices: Evidence from 177 countries. Food Policy, 99, 101983.CrossRef Bai, Y., Alemu, R., Block, S. A., Headey, D., & Masters, W. A. (2021). Cost and affordability of nutritious diets at retail prices: Evidence from 177 countries. Food Policy, 99, 101983.CrossRef
go back to reference Beacom, E., Furey, S., Hollywood, L. E., & Humphreys, P. (2020b). Stakeholder-informed considerations for a food poverty definition. British Food Journal. Beacom, E., Furey, S., Hollywood, L. E., & Humphreys, P. (2020b). Stakeholder-informed considerations for a food poverty definition. British Food Journal.
go back to reference Beacom, E., Furey, S., Hollywood, L., & Humphreys, P. (2020a). Investigating food insecurity measurement globally to inform practice locally: a rapid evidence review. Critical Reviews in Food Science and Nutrition, pp. 1–21. Beacom, E., Furey, S., Hollywood, L., & Humphreys, P. (2020a). Investigating food insecurity measurement globally to inform practice locally: a rapid evidence review. Critical Reviews in Food Science and Nutrition, pp. 1–21.
go back to reference Benedetti, I., Biggeri, L., Laureti, T., & Secondi, L. (2016). Exploring the Italians’ food habits and tendency towards a sustainable diet: The Mediterranean eating pattern. Agriculture and Agricultural Science Procedia, 8, 433–440.CrossRef Benedetti, I., Biggeri, L., Laureti, T., & Secondi, L. (2016). Exploring the Italians’ food habits and tendency towards a sustainable diet: The Mediterranean eating pattern. Agriculture and Agricultural Science Procedia, 8, 433–440.CrossRef
go back to reference Benedetti, I., Laureti, T., & Secondi, L. (2018). Choosing a healthy and sustainable diet: A three-level approach for understanding the drivers of the Italians’ dietary regime over time. Appetite, 123, 357–366.CrossRef Benedetti, I., Laureti, T., & Secondi, L. (2018). Choosing a healthy and sustainable diet: A three-level approach for understanding the drivers of the Italians’ dietary regime over time. Appetite, 123, 357–366.CrossRef
go back to reference Bertarelli, G., Biggeri, L., Giusti, C., Marchetti, S., Pratesi, M., Articus, C., Caratiola, C., Munnich, R. (2020). Methodological paper on intra-country comparisons of poverty rates, Deliverable 9.9, Leuven, H2020 InGRID-2 project, g.a. 312691. Bertarelli, G., Biggeri, L., Giusti, C., Marchetti, S., Pratesi, M., Articus, C., Caratiola, C., Munnich, R. (2020). Methodological paper on intra-country comparisons of poverty rates, Deliverable 9.9, Leuven, H2020 InGRID-2 project, g.a. 312691.
go back to reference Bidisha, S. H., Mahmood, T., & Hossain, M. B. (2021). Assessing food poverty, vulnerability and food consumption inequality in the context of COVID-19: A case of Bangladesh. Social Indicators Research, 155(1), 187–210.CrossRef Bidisha, S. H., Mahmood, T., & Hossain, M. B. (2021). Assessing food poverty, vulnerability and food consumption inequality in the context of COVID-19: A case of Bangladesh. Social Indicators Research, 155(1), 187–210.CrossRef
go back to reference Biggeri, L., Giusti, C., Marchetti, S., & Pratesi, M. (2018). Poverty Indicators at local level: Definitions, comparisons in real terms and small area estimation methods. Statistics and Applications, 16(1), 351–364. Biggeri, L., Giusti, C., Marchetti, S., & Pratesi, M. (2018). Poverty Indicators at local level: Definitions, comparisons in real terms and small area estimation methods. Statistics and Applications, 16(1), 351–364.
go back to reference Biggeri L., Pratesi M. (2017), Monetary poverty indicators at local level: definitions, methods of estimations and comparisons in real terms, Invited Paper, Proceedings of the 61st World Statistics Congress of the International Statistical Institute, 2017, Marrakech, Morocco. Biggeri L., Pratesi M. (2017), Monetary poverty indicators at local level: definitions, methods of estimations and comparisons in real terms, Invited Paper, Proceedings of the 61st World Statistics Congress of the International Statistical Institute, 2017, Marrakech, Morocco.
go back to reference Brewer, M., & O'Dea, C. (2012). Measuring living standards with income and consumption: evidence from the UK (No. 2012–05). ISER working paper series. Brewer, M., & O'Dea, C. (2012). Measuring living standards with income and consumption: evidence from the UK (No. 2012–05). ISER working paper series.
go back to reference Campiglio, L., & Rovati, G. (2009). Il paradosso della scarsità nell’abbondanza: il caso della povertà alimentare. Milano: Guerini and Associati. Campiglio, L., & Rovati, G. (2009). Il paradosso della scarsità nell’abbondanza: il caso della povertà alimentare. Milano: Guerini and Associati.
go back to reference Cantillon, B., Goedemé, T., & Hills, J. (Eds.). (2018). Decent incomes for all: improving policies in Europe. Oxford University Press. Cantillon, B., Goedemé, T., & Hills, J. (Eds.). (2018). Decent incomes for all: improving policies in Europe. Oxford University Press.
go back to reference Carrillo-Álvarez, E., Salinas-Roca, B., Costa-Tutusaus, L., Milà-Villarroel, R., & Shankar Krishnan, N. (2021). The measurement of food insecurity in high-income countries: A scoping review. International Journal of Environmental Research and Public Health, 18(18), 9829.CrossRef Carrillo-Álvarez, E., Salinas-Roca, B., Costa-Tutusaus, L., Milà-Villarroel, R., & Shankar Krishnan, N. (2021). The measurement of food insecurity in high-income countries: A scoping review. International Journal of Environmental Research and Public Health, 18(18), 9829.CrossRef
go back to reference Chaudhuri, S., & Ravallion, M. (1994). How well do static welfare indicators identify the chronically poor? Journal of Public Economics, 53(3), 367–394.CrossRef Chaudhuri, S., & Ravallion, M. (1994). How well do static welfare indicators identify the chronically poor? Journal of Public Economics, 53(3), 367–394.CrossRef
go back to reference Cowell, F. A., & Kuga, K. (1981a). Additivity and the entropy concept: An axiomatic approach to inequality measurement. Journal of Economic Theory, 25(1), 131–143.CrossRef Cowell, F. A., & Kuga, K. (1981a). Additivity and the entropy concept: An axiomatic approach to inequality measurement. Journal of Economic Theory, 25(1), 131–143.CrossRef
go back to reference Cowell, F. A., & Kuga, K. (1981b). Inequality measurement: An axiomatic approach. European Economic Review, 15(3), 287–305.CrossRef Cowell, F. A., & Kuga, K. (1981b). Inequality measurement: An axiomatic approach. European Economic Review, 15(3), 287–305.CrossRef
go back to reference Cutillo, A., Raitano, M., & Siciliani, I. (2020). Income-based and consumption-based measurement of absolute poverty: insights from Italy. Social Indicators Research, ppp. 1–22. Cutillo, A., Raitano, M., & Siciliani, I. (2020). Income-based and consumption-based measurement of absolute poverty: insights from Italy. Social Indicators Research, ppp. 1–22.
go back to reference Deaton, A. (1997). The analysis of household surveys: A microeconometric approach to development policy. Johns Hopkins Press.CrossRef Deaton, A. (1997). The analysis of household surveys: A microeconometric approach to development policy. Johns Hopkins Press.CrossRef
go back to reference FAO. (2006). Food Security. Policy Brief, June 2006, Issue 2, FAO: Rome, Italy, 2020. FAO. (2006). Food Security. Policy Brief, June 2006, Issue 2, FAO: Rome, Italy, 2020.
go back to reference FAO. (2020). The State of Food Security and Nutrition in the World 2020. Transforming Food Systems for Affordable Healthy Diets; FAO: Rome, Italy, 2020. FAO. (2020). The State of Food Security and Nutrition in the World 2020. Transforming Food Systems for Affordable Healthy Diets; FAO: Rome, Italy, 2020.
go back to reference FAO. (2021). The State of Food Security and Nutrition in the World 2020; FAO: Rome, Italy, 2021. FAO. (2021). The State of Food Security and Nutrition in the World 2020; FAO: Rome, Italy, 2021.
go back to reference Fabrizi, E., Ferrante, M. R., & Pacei, S. (2005). Estimation of poverty indicators at sub-national level using multivariate small area models. Statistics in Transition, 7(3), 587–608. Fabrizi, E., Ferrante, M. R., & Pacei, S. (2005). Estimation of poverty indicators at sub-national level using multivariate small area models. Statistics in Transition, 7(3), 587–608.
go back to reference Fabrizi, E., Ferrante, M. R., & Trevisano, C. (2016). Bayesian beta regression models for the estimation of poverty and inequality parameters in small areas. In M. Pratesi (Ed.), Analysis of poverty data by small area estimation. Wiley. Fabrizi, E., Ferrante, M. R., & Trevisano, C. (2016). Bayesian beta regression models for the estimation of poverty and inequality parameters in small areas. In M. Pratesi (Ed.), Analysis of poverty data by small area estimation. Wiley.
go back to reference Fay, R. E., & Herriot, R. A. (1979). Estimation of income from small places: An application of James-Stein procedures to census data. Journal of the American Statistical Association, 74, 269–277.CrossRef Fay, R. E., & Herriot, R. A. (1979). Estimation of income from small places: An application of James-Stein procedures to census data. Journal of the American Statistical Association, 74, 269–277.CrossRef
go back to reference Gundersen, C., Hake, M., Dewey, A., & Engelhard, E. (2021). Food Insecurity during COVID-19. Applied Economic Perspectives and Policy, 43, 153–161.CrossRef Gundersen, C., Hake, M., Dewey, A., & Engelhard, E. (2021). Food Insecurity during COVID-19. Applied Economic Perspectives and Policy, 43, 153–161.CrossRef
go back to reference Healy, A. E. (2019). Measuring food poverty in Ireland: The importance of including exclusion. Irish Journal of Sociology, 27(2), 105–127.CrossRef Healy, A. E. (2019). Measuring food poverty in Ireland: The importance of including exclusion. Irish Journal of Sociology, 27(2), 105–127.CrossRef
go back to reference Hjelm, L., Mathiassen, A., & Wadhwa, A. (2016). Measuring poverty for food security analysis: Consumption-versus asset-based approaches. Food and Nutrition Bulletin, 37(3), 275–289.CrossRef Hjelm, L., Mathiassen, A., & Wadhwa, A. (2016). Measuring poverty for food security analysis: Consumption-versus asset-based approaches. Food and Nutrition Bulletin, 37(3), 275–289.CrossRef
go back to reference Hossain, M. B., Long, M. A., & Stretesky, P. B. (2021). Welfare State Spending, Income Inequality and Food Insecurity in Affluent Nations: A Cross-National Examination of OECD Countries. Sustainability, 13(1), 324.CrossRef Hossain, M. B., Long, M. A., & Stretesky, P. B. (2021). Welfare State Spending, Income Inequality and Food Insecurity in Affluent Nations: A Cross-National Examination of OECD Countries. Sustainability, 13(1), 324.CrossRef
go back to reference IPC Global Partners. (2021). Integrated Food Security Phase Classification Technical Manual Version 3.1. Evidence and Standards for Better Food Security and Nutrition Decisions. Rome. IPC Global Partners. (2021). Integrated Food Security Phase Classification Technical Manual Version 3.1. Evidence and Standards for Better Food Security and Nutrition Decisions. Rome.
go back to reference Jiang, J., Lahiri, P., Wan, S.M., Wu, C.H. (2001). “Jackknifing in the Fay-Herriot Model with an Example.” In Proceedings of the seminar on funding opportunity in survey research council of professional associations on federal statistics, pp. 75–97. Jiang, J., Lahiri, P., Wan, S.M., Wu, C.H. (2001). “Jackknifing in the Fay-Herriot Model with an Example.” In Proceedings of the seminar on funding opportunity in survey research council of professional associations on federal statistics, pp. 75–97.
go back to reference Kullback, S. (1959). Information theory and statistics. Wiley. Kullback, S. (1959). Information theory and statistics. Wiley.
go back to reference Loopstra, R., Reeves, A., & Tarasuk, V. (2019). The rise of hunger among low-income households: An analysis of the risks of food insecurity between 2004 and 2016 in a population-based study of UK adults. Journal of Epidemiology and Community Health, 73(7), 668–673.CrossRef Loopstra, R., Reeves, A., & Tarasuk, V. (2019). The rise of hunger among low-income households: An analysis of the risks of food insecurity between 2004 and 2016 in a population-based study of UK adults. Journal of Epidemiology and Community Health, 73(7), 668–673.CrossRef
go back to reference Lukwa, A. T., Siya, A., Zablon, K. N., Azam, J. M., & Alaba, O. A. (2020). Socioeconomic inequalities in food insecurity and malnutrition among under-five children: Within and between-group inequalities in Zimbabwe. BMC Public Health, 20(1), 1–11.CrossRef Lukwa, A. T., Siya, A., Zablon, K. N., Azam, J. M., & Alaba, O. A. (2020). Socioeconomic inequalities in food insecurity and malnutrition among under-five children: Within and between-group inequalities in Zimbabwe. BMC Public Health, 20(1), 1–11.CrossRef
go back to reference Marchetti, S., & Secondi, L. (2017). Estimates of household consumption expenditure at provincial level in italy by using small area estimation methods: “Real” comparisons using purchasing power parities. Social Indicators Research, 131(1), 215–234.CrossRef Marchetti, S., & Secondi, L. (2017). Estimates of household consumption expenditure at provincial level in italy by using small area estimation methods: “Real” comparisons using purchasing power parities. Social Indicators Research, 131(1), 215–234.CrossRef
go back to reference Meyer, B. D., & Sullivan, J. X. (2011). Further results on measuring the well-being of the poor using income and consumption. Canadian Journal of Economics/revue Canadienn, 44(1), 52–87.CrossRef Meyer, B. D., & Sullivan, J. X. (2011). Further results on measuring the well-being of the poor using income and consumption. Canadian Journal of Economics/revue Canadienn, 44(1), 52–87.CrossRef
go back to reference Moltedo, A., Troubat, N., Lokshin, M., & Sajaia, Z. (Eds.). (2014). Analyzing food security using household survey data: Streamlined analysis with ADePT software. World Bank Publications. Moltedo, A., Troubat, N., Lokshin, M., & Sajaia, Z. (Eds.). (2014). Analyzing food security using household survey data: Streamlined analysis with ADePT software. World Bank Publications.
go back to reference Mookodi, L. (2021). Decomposition analysis of the Gini coefficient of consumer expenditures in Botswana. Development Southern Africa, 38(4), 622–642.CrossRef Mookodi, L. (2021). Decomposition analysis of the Gini coefficient of consumer expenditures in Botswana. Development Southern Africa, 38(4), 622–642.CrossRef
go back to reference OECD. (2008). Growing unequal?: Income distribution and poverty in OECD countries. OECD.CrossRef OECD. (2008). Growing unequal?: Income distribution and poverty in OECD countries. OECD.CrossRef
go back to reference OECD. (2019). “Old-age income inequality”, in Pensions at a Glance 2019: OECD and G20 Indicators. OECD Publishing.CrossRef OECD. (2019). “Old-age income inequality”, in Pensions at a Glance 2019: OECD and G20 Indicators. OECD Publishing.CrossRef
go back to reference OECD (2011). Divided we stand – Why inequality keeps rising, Paris. OECD (2011). Divided we stand – Why inequality keeps rising, Paris.
go back to reference Penne, T., & Goedemé, T. (2021). Can low-income households afford a healthy diet? Insufficient income as a driver of food insecurity in Europe. Food Policy, 99, 101978.CrossRef Penne, T., & Goedemé, T. (2021). Can low-income households afford a healthy diet? Insufficient income as a driver of food insecurity in Europe. Food Policy, 99, 101978.CrossRef
go back to reference Pereira, M., & Oliveira, A. M. (2020). Poverty and food insecurity may increase as the threat of COVID-19 spreads. Public Health Nutrition, 23(17), 3236–3240.CrossRef Pereira, M., & Oliveira, A. M. (2020). Poverty and food insecurity may increase as the threat of COVID-19 spreads. Public Health Nutrition, 23(17), 3236–3240.CrossRef
go back to reference Pool, U. & Dooris, M. (2021). Prevalence of food security in the UK measured by the Food Insecurity Experience Scale. J. Public Health (Oxf). pp. 1–8. Pool, U. & Dooris, M. (2021). Prevalence of food security in the UK measured by the Food Insecurity Experience Scale. J. Public Health (Oxf). pp. 1–8.
go back to reference Pratesi, M. (2016). Analysis of Poverty Data by Small Area Estimations. Wiley.CrossRef Pratesi, M. (2016). Analysis of Poverty Data by Small Area Estimations. Wiley.CrossRef
go back to reference Pratesi, M., Giusti, C., & Marchetti, S. (2013). Small area estimation of poverty indicators. Survey data collection and integration (pp. 89–101). Berlin, Heidelberg: Springer.CrossRef Pratesi, M., Giusti, C., & Marchetti, S. (2013). Small area estimation of poverty indicators. Survey data collection and integration (pp. 89–101). Berlin, Heidelberg: Springer.CrossRef
go back to reference Rao, J.N.K. and Molina, I. (2015). Small Area Estimation, Wiley Series in Survey Methodology. Rao, J.N.K. and Molina, I. (2015). Small Area Estimation, Wiley Series in Survey Methodology.
go back to reference Rohde, N. (2008). Lorenz curves and generalised entropy inequality measures. Modeling income distributions and Lorenz curves (pp. 271–283). Springer.CrossRef Rohde, N. (2008). Lorenz curves and generalised entropy inequality measures. Modeling income distributions and Lorenz curves (pp. 271–283). Springer.CrossRef
go back to reference Schmid, T., Bruckschen, F., Salvati, N., & Zbiranski, T. (2017). Constructing sociodemographic indicators for national statistical institutes using mobile phone data: Estimating literacy rates in Senegal. Journal of the Royal Statistical Society Series A, 180(4), 1163–1190. https://doi.org/10.1111/rssa.12305CrossRef Schmid, T., Bruckschen, F., Salvati, N., & Zbiranski, T. (2017). Constructing sociodemographic indicators for national statistical institutes using mobile phone data: Estimating literacy rates in Senegal. Journal of the Royal Statistical Society Series A, 180(4), 1163–1190. https://​doi.​org/​10.​1111/​rssa.​12305CrossRef
go back to reference Secondi, L. (2021). Estimating Household Consumption Expenditure at Local Level In Italy: The Potential of the Cokriging Spatial Predictor. Social Indicators Research, 153(2), 651–674.CrossRef Secondi, L. (2021). Estimating Household Consumption Expenditure at Local Level In Italy: The Potential of the Cokriging Spatial Predictor. Social Indicators Research, 153(2), 651–674.CrossRef
go back to reference Secondi, L., Principato, L., & Laureti, T. (2015). Household food waste behaviour in EU-27 countries: A multilevel analysis. Food Policy, 56, 25–40.CrossRef Secondi, L., Principato, L., & Laureti, T. (2015). Household food waste behaviour in EU-27 countries: A multilevel analysis. Food Policy, 56, 25–40.CrossRef
go back to reference Sibrian, R. (2008). Deriving food security information from national household budget surveys: Experiences, achievements, challenges. Food and Agriculture Organization of the United Nations. Sibrian, R. (2008). Deriving food security information from national household budget surveys: Experiences, achievements, challenges. Food and Agriculture Organization of the United Nations.
go back to reference Sinha, M., & Chaudhury, A. R. (2021). Assessing the Between-Group Inequality Through Alternative Measures of Grouping: An Indian Evidence. Social Indicators Research, pp. 1–25. Sinha, M., & Chaudhury, A. R. (2021). Assessing the Between-Group Inequality Through Alternative Measures of Grouping: An Indian Evidence. Social Indicators Research, pp. 1–25.
go back to reference Smith, L. C., & Subandoro, A. (2007). Measuring food security using household expenditure surveys (Vol. 3). Intl Food Policy Res Inst. Smith, L. C., & Subandoro, A. (2007). Measuring food security using household expenditure surveys (Vol. 3). Intl Food Policy Res Inst.
go back to reference Stringer, R. (2016). Food security global overview. Food Poverty and Insecurity: International Food Inequalities, pp. 11–18. Stringer, R. (2016). Food security global overview. Food Poverty and Insecurity: International Food Inequalities, pp. 11–18.
go back to reference Theil, H. (1967). Economics and information theory (No. 04; HB74. M3, T4.). Theil, H. (1967). Economics and information theory (No. 04; HB74. M3, T4.).
go back to reference UNECE. (2017). Guide on Poverty Measurement. United Nations: New York and Geneva, 2017. UNECE. (2017). Guide on Poverty Measurement. United Nations: New York and Geneva, 2017.
go back to reference Upton, J. B., Cissé, J. D., & Barrett, C. B. (2016). Food security as resilience: Reconciling definition and measurement. Agricultural Economics, 47(S1), 135–147.CrossRef Upton, J. B., Cissé, J. D., & Barrett, C. B. (2016). Food security as resilience: Reconciling definition and measurement. Agricultural Economics, 47(S1), 135–147.CrossRef
go back to reference Vilar-Compte, M., Burrola-Méndez, S., Lozano-Marrufo, A., Ferré-Eguiluz, I., Flores, D., Gaitán-Rossi, P., & Pérez-Escamilla, R. (2021). Urban poverty and nutrition challenges associated with accessibility to a healthy diet: A global systematic literature review. International Journal for Equity in Health, 20(1), 1–19.CrossRef Vilar-Compte, M., Burrola-Méndez, S., Lozano-Marrufo, A., Ferré-Eguiluz, I., Flores, D., Gaitán-Rossi, P., & Pérez-Escamilla, R. (2021). Urban poverty and nutrition challenges associated with accessibility to a healthy diet: A global systematic literature review. International Journal for Equity in Health, 20(1), 1–19.CrossRef
go back to reference Woodruff, R. S. (1952). Confidence intervals for medians and other position measures. Journal of the American Statistical Association, 57, 622–627. Woodruff, R. S. (1952). Confidence intervals for medians and other position measures. Journal of the American Statistical Association, 57, 622–627.
go back to reference World Food Summit (1996). Rome Declaration on World Food Security. World Food Summit (1996). Rome Declaration on World Food Security.
go back to reference Zaҫe, D., Di Pietro, M. L., Reali, L., de Waure, C., & Ricciardi, W. (2021). Prevalence, socio-economic predictors and health correlates of food insecurity among Italian children-findings from a cross-sectional study. Food Security, 13(1), 13–24.CrossRef Zaҫe, D., Di Pietro, M. L., Reali, L., de Waure, C., & Ricciardi, W. (2021). Prevalence, socio-economic predictors and health correlates of food insecurity among Italian children-findings from a cross-sectional study. Food Security, 13(1), 13–24.CrossRef
Metadata
Title
The Economic Perspective of Food Poverty and (In)security: An Analytical Approach to Measuring and Estimation in Italy
Authors
Stefano Marchetti
Luca Secondi
Publication date
05-01-2022
Publisher
Springer Netherlands
Published in
Social Indicators Research / Issue 3/2022
Print ISSN: 0303-8300
Electronic ISSN: 1573-0921
DOI
https://doi.org/10.1007/s11205-021-02875-5

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