A distributional approach to comparing vulnerability,applied to rural provinces in Thailand and Vietnam |
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| Institution: | 1. Institute of Development and Agricultural Economics, Leibniz University of Hannover, School of Economics and Management, Koenigsworther Platz 1, 30167 Hannover, Germany;2. Institute of Social Policy, Leibniz University of Hannover, School of Economics and Management, Koenigsworther Platz 1, 30167 Hannover, Germany;1. Beijing Normal University, Zhuhai, China;2. National University of Kaohsiung, Taiwan;1. University of Adelaide, Australia;2. The Johns Hopkins University Bologna Center, Italy;1. CSIRO Oceans and Atmosphere, PO Box 2583, Brisbane, QLD 4001, Australia;2. Queensland Department of Agriculture and Fisheries, Ecosciences Precinct, Joe Baker St., Dutton Park, Brisbane, QLD 4102, Australia;3. School of Agriculture and Food Sciences, University of Queensland, St. Lucia, QLD 4072, Australia;1. School of Economics and Finance, Curtin Business School, Australia;2. School of Business & Law, Edith Cowan University, Australia;1. Department of Economics and Business Administration, The University of Kitakyushu, 4-2-1 Kitagata, Kokura-minami-ku, Kitakyushu 802-8577, Japan;2. Faculty of Economics, Toyo University, 5-28-20, Hakusan, Bunkyo-ku, Tokyo 112-8606, Japan |
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| Abstract: | Vulnerability to poverty is an important social indicator of well-being. Yet, comparisons of vulnerability over time or space lack robustness as long as they are based on single measures or use specific poverty lines. We demonstrate that a distributional analysis, based on stochastic dominance orders, can help. Using data from six rural provinces of Thailand and Vietnam, we establish cumulative distribution functions for income and consumption at the provincial level and show how they can provide ethically robust vulnerability comparisons. |
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