Abstract
Gender equality is a pillar of the sustainable development agenda. Women empowerment and gender mainstreaming are the bases of sound gender policies, especially in countries where greater gender gaps are observed, e.g. rural areas. This issue becomes particularly relevant in least developed countries, where an effective regulation is compelling. It is convened that gender equality is a powerful driver of economic development and social change, especially for its capacity of facilitating entrepreneurship. The appropriate gauging of the legal, economic, social and cultural factors determining or underlying a potential gender gap is crucial to shape and define such gender policies. Thus, it turns fundamental to attribute more robust bases to measure such phenomenon. With the scientific purpose of measuring gender gap in a more reliable way, this work aims to furnish a robust framework to compute composite indicators in the field of gender economics. We consider the weights of the different components. Thus, we apply an interval data analysis to the World Economic Forum’s Global Gender Gap Index. The results show consistent differences among the rankings of the two indexes, translatable in diverse policy implications.
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References
Agovino, M., Cerciello, M., & Gatto, A. (2018). Policy efficiency in the field of food sustainability. The adjusted food agriculture and nutrition index. Journal of Environmental Management, 218, 220–233.
Billard, L., & Diday, E. (2003). From the statistics of data to the statistics of knowledge: symbolic data analysis. Journal of the American Statistical Association, 98(462), 470–487.
Briganti, R., & Gatto, A. (2015). Agribusiness e alimentazione: prospettive per il lavoro e lo sviluppo economico nel mondo. Futuri, 5.
Busato, F., & Gatto, A. (2017). Defining and Measuring energy vulnerability worldwide. The global energy vulerability index (GEVI). Presented on November 22nd, 2017, at ICEFM 2017—International Conference on Energy, Finance & Macroeconomics, Montpellier, France.
Cleveland, W. S. (1979). Robust locally weighted regression and smoothing scatterplots. Journal of the American Statistical Association, 74(368), 829–836.
Doni, F., Drago, C., & Paoloni, P. (2018). Interval-based gender diversity composite indicators in gender studies. In Gender Issues in Business and Economics (pp. 175–184). Cham: Springer.
Donovan, J., Franzel, S., Cunha, M., Gyau, A., & Mithöfer, D. (2015). Guides for value chain development: A comparative review. Journal of Agribusiness in Developing and Emerging Economies, 5(1), 2–23.
Drago, C. (2017). Interval based composite indicators. FEEM Working Paper No. 42.2017. Available at SSRN: https://ssrn.com/abstract=3038751 or http://dx.doi.org/10.2139/ssrn.3038751.
Drago, C., & Gatto, A. (2017). Modeling and measuring energy resilience. Presented on November 30, 2017 at AIQUAV 2017—Associazione Italiana per gli studi sulla Qualità della Vita—National Conference on Quality of Life.
FAO. (2017). The future of food and agriculture. Trends & challenges.
Floridi, M., Pagni, S., Falorni, S., & Luzzati, T. (2011). An exercise in composite indicators construction: Assessing the sustainability of Italian regions. Ecological Economics, 70(8), 1440–1447.
Gatto, A. (2018). Historical roots of microcredit and usury: the role of Monti di Pietà in Italy and in the kingdom of Naples in XV–XX centuries. Journal of International Development, 30(5), 911–914.
Gatto A., Polselli N., & Bloom G. (2016). Empowering gender equality through rural development: Rural markets and micro-finance in Kyrgyzstan. In L’Europa e la Comunità Internazionale Difronte alle Sfide dello Sviluppo.
IFAD. (2011). Rural poverty report.
Luzzati, T., & Gucciardi, G. (2015). A non-simplistic approach to composite indicators and rankings: an illustration by comparing the sustainability of the EU Countries. Ecological Economics, 113, 25–38.
Maggino, F., & Ruviglioni, E. (2009). Obtaining weights: From objective to subjective approaches in view of more participative methods in the construction of composite indicators. In Proceedings NTTS: New Techniques and Technologies for Statistics, pp. 37–46.
Mazziotta, M., & Pareto, A. (2011). Un indice sintetico non compensativo per la misura della dotazione infrastrutturale: un’applicazione in ambito sanitario. Rivista di Statistica Ufficiale, 1, 63–79.
Nardo, M., Saisana, M., Saltelli, A., Tarantola, S., Hoffman, A., & Giovannini, E. (2005). Handbook on constructing composite indicators.
OECD. (2008). Handbook on constructing composite indicators: Methodology and user guide. Paris: OECD publishing.
Saisana, M., Saltelli, A., & Tarantola, S. (2005). Uncertainty and sensitivity analysis techniques as tools for the quality assessment of composite indicators. Journal of the Royal Statistical Society: Series A (Statistics in Society), 168(2), 307–323.
Saltelli, A. (2007). Composite indicators between analysis and advocacy. Social Indicators Research, 81(1), 65–77.
United Nations. (2015). A/RES/70/1—Transforming our world: The 2030 agenda for sustainable development.
World Economic Forum. (2013). Global gender gap report.
World Economic Forum. (2017). Global gender gap report.
World Bank. (2009). Gender in agriculture sourcebook.
Yunus, M. (1999). Banker to the poor: Micro-lending and the battle against world poverty.
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Drago, C., Gatto, A. (2019). A Robust Approach to Composite Indicators Exploiting Interval Data: The Interval-Valued Global Gender Gap Index (IGGGI). In: Paoloni, P., Lombardi, R. (eds) Advances in Gender and Cultural Research in Business and Economics. IPAZIA 2018. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-00335-7_7
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