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When It Rains, It Pours? Analyzing the Rainfall Shocks-Poverty Nexus in the Philippines

Author

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  • Bayudan-Dacuycuy, Connie
  • Baje, Lora Kryz

Abstract

Given the evidence that points to climate change resulting in altered patterns of weather parameters and given that the Philippines is one of the most vulnerable countries to climatic shifts, this paper aims to contribute to poverty studies in the Philippines by analyzing the poverty-rainfall shock nexus. The paper finds that rainfall shocks affect wages and income, which in turn, affect chronic total and chronic food poverty. Given that local government units (LGUs) are in the forefront of the country’s fight against the adverse effects of climate change, some policy directions are forwarded so that LGUs can better address issues on climate change, including the development of climate-smart agriculture and additional funding sources for projects on climate change adaptation. Partly due to exclusion errors, there are deserving households that are not part of the Pantawid Pamilyang Pilipino Program (4Ps). Suggestions are forwarded not only to improve the 4Ps’ data management to accommodate vertical scale-up but also to ensure that the program covers deserving beneficiaries as well. Policy directions on the development of adaptive social protection are also forwarded.

Suggested Citation

  • Bayudan-Dacuycuy, Connie & Baje, Lora Kryz, 2018. "When It Rains, It Pours? Analyzing the Rainfall Shocks-Poverty Nexus in the Philippines," Discussion Papers DP 2018-32, Philippine Institute for Development Studies.
    • Handle: RePEc:phd:dpaper:dp_2018-32
    DOI: https://doi.org/10.62986/dp2018.32
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    Cited by:

    1. is not listed on IDEAS
    2. Vincent Jerald Ramos, 2024. "Extreme Lockdowns and the Gendered Informalization of Employment: Evidence from the Philippines," Work, Employment & Society, British Sociological Association, vol. 38(5), pages 1197-1222, October.
    3. Litao Feng & Wei Liu & Zhihui Zhao & Yining Wang, 2023. "Rainfall fluctuations and rural poverty: Evidence from Chinese county‐level data," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 31(3), pages 633-656, July.
    4. Prashant Kumar Arya & Koyel Sur & Siddharth Dhote & Harsh Siral & Tanushree Kundu & Balwant Singh Mehta & Ravi Srivastava, 2025. "Integrating Multi-Source Satellite Imagery and Socio-Economic Household Data for Wealth-Based Poverty Assessment of India: A GIS and Machine Learning Based Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 179(2), pages 653-676, September.

    More about this item

    Keywords

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    JEL classification:

    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

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