COVID-19’s economic impact on low-income countries: preparing for the next shock – Bruegel

COVID-19’s economic impact on low-income countries: preparing for the next shock – Bruegel

 

Professional Profile Report: Costanza Greppi Maturana

Academic Background and Contribution to Sustainable Development Goals (SDGs)

  • Holds a Master’s in Specialized Economic Analysis from the Barcelona School of Economics, with a focus on International Trade, Finance, and Development.
  • Authored a Master’s thesis quantifying the development impact of the EU-CARIFORUM trade agreement, providing critical data relevant to:
    1. SDG 8: Decent Work and Economic Growth, by assessing the agreement’s effect on Caribbean economies.
    2. SDG 10: Reduced Inequalities, by analyzing the distributional effects of international trade policies.
    3. SDG 17: Partnerships for the Goals, through the examination of a significant international economic partnership.
  • Conducted research on the effects of non-contributory pension programs in Peru, contributing to the understanding of:
    1. SDG 1: No Poverty, by evaluating the effectiveness of social safety nets.
    2. SDG 3: Good Health and Well-being, by measuring the impact of financial security on life satisfaction.
  • Holds a Bachelor’s degree from King’s College London.

Professional Experience and Alignment with Global Goals

  • World Bank, Development Economics Global Indicators Group (DEC IG):
    • As an intern with the Women, Business, and the Law team, conducted research directly supporting SDG 5: Gender Equality by analyzing laws and policies impacting women’s economic participation.
    • This work also contributed to SDG 16: Peace, Justice and Strong Institutions by promoting the rule of law and equal access to justice.
    • Engaged with experts across Latin America and Francophone countries to refine survey design for improved global data collection.
  • E-commerce and International Trade Sector (London and Paris):
    • Provided advisory services on pricing, regulatory compliance, and cross-border trade optimization, thereby supporting SDG 8: Decent Work and Economic Growth by fostering efficient and compliant international commerce.

Core Competencies and Affiliation

  • Appointment: Joined Bruegel as a Research Assistant in March 2025.
  • Languages: Professional fluency in Italian, Spanish, French, and English.
  • Citizenship: Dual Chilean and Italian.

Analysis of Sustainable Development Goals (SDGs) in the Article

1. Which SDGs are addressed or connected to the issues highlighted in the article?

  • SDG 1: No Poverty

    The article mentions research on “the effects of non-contributory pension programs in Peru on life satisfaction.” These programs are a form of social protection aimed at reducing poverty and vulnerability, particularly among the elderly, which is a core component of SDG 1.

  • SDG 5: Gender Equality

    This is a central theme in the article. Costanza’s internship at the World Bank’s “Women, Business, and the Law team” where she “conducted research on gender equality laws and policies” directly addresses the goal of achieving gender equality and empowering all women and girls.

  • SDG 8: Decent Work and Economic Growth

    The article highlights work related to “International Trade, Finance, and Development,” quantifying the “development impact of the EU-CARIFORUM trade agreement,” and advising on “cross-border trade optimization.” These activities are directly linked to promoting sustained, inclusive, and sustainable economic growth.

  • SDG 17: Partnerships for the Goals

    The focus on international trade agreements (EU-CARIFORUM), working with a global institution (World Bank), and engaging with experts across different regions (“Latin America and Francophone countries”) all point to the importance of global partnerships for sustainable development. Furthermore, the work on data collection and survey design is crucial for monitoring progress on all SDGs.

2. What specific targets under those SDGs can be identified based on the article’s content?

  1. SDG 1: No Poverty

    • Target 1.3: Implement nationally appropriate social protection systems and measures for all, including floors, and by 2030 achieve substantial coverage of the poor and the vulnerable. The research on “non-contributory pension programs in Peru” is a direct analysis of such a social protection system.
  2. SDG 5: Gender Equality

    • Target 5.1: End all forms of discrimination against all women and girls everywhere. The research on “gender equality laws and policies” contributes to understanding and eliminating legal discrimination.
    • Target 5.c: Adopt and strengthen sound policies and enforceable legislation for the promotion of gender equality and the empowerment of all women and girls at all levels. The work with the “Women, Business, and the Law team” directly supports the assessment and strengthening of such policies and legislation.
  3. SDG 8: Decent Work and Economic Growth

    • Target 8.a: Increase Aid for Trade support for developing countries. The thesis that “quantifies the development impact of the EU-CARIFORUM trade agreement on Caribbean economies” is an example of the analytical work needed to understand and improve the effectiveness of trade-related development support.
  4. SDG 17: Partnerships for the Goals

    • Target 17.10: Promote a universal, rules-based, open, non-discriminatory and equitable multilateral trading system. The work on international trade agreements and cross-border trade optimization aligns with this target.
    • Target 17.18: By 2020, enhance capacity-building support to developing countries… to increase significantly the availability of high-quality, timely and reliable data. The effort to “expand the contributor base for data collection” and “refine the survey design” is a direct contribution to this target.

3. Are there any indicators mentioned or implied in the article that can be used to measure progress towards the identified targets?

  1. SDG 1: No Poverty

    • The article implies the use of indicators related to social protection. While it mentions “life satisfaction” as an outcome, the research itself would rely on data related to Indicator 1.3.1: “Proportion of population covered by social protection floors/systems.”
  2. SDG 5: Gender Equality

    • The work on “gender equality laws and policies” for the “Women, Business, and the Law” team directly corresponds to the measurement of Indicator 5.1.1: “Whether or not legal frameworks are in place to promote, enforce and monitor equality and non-discrimination on the basis of sex.”
  3. SDG 8: Decent Work and Economic Growth

    • The act of “quantify[ing] the development impact” of a trade agreement implies the use of economic indicators such as GDP, trade flows, and employment rates, which are central to measuring progress under SDG 8.
  4. SDG 17: Partnerships for the Goals

    • The work to “expand the contributor base for data collection” and “refine the survey design” directly relates to improving the capacity for data monitoring, which is measured by Indicator 17.18.1: “Statistical capacity indicator for Sustainable Development Goal monitoring.”

4. Summary Table of SDGs, Targets, and Indicators

SDGs Targets Indicators (Mentioned or Implied)
SDG 1: No Poverty 1.3: Implement nationally appropriate social protection systems and measures for all. Implied use of data related to Indicator 1.3.1 (Proportion of population covered by social protection systems) through research on pension programs.
SDG 5: Gender Equality 5.1: End all forms of discrimination against all women and girls everywhere.
5.c: Adopt and strengthen sound policies and enforceable legislation for gender equality.
Directly relates to Indicator 5.1.1 (Whether or not legal frameworks are in place to promote… equality) through research on “gender equality laws and policies.”
SDG 8: Decent Work and Economic Growth 8.a: Increase Aid for Trade support for developing countries. Implied use of economic indicators (GDP, trade volumes) to “quantify the development impact” of trade agreements.
SDG 17: Partnerships for the Goals 17.10: Promote a universal, rules-based, open, non-discriminatory and equitable multilateral trading system.
17.18: Enhance capacity-building support to developing countries… to increase… reliable data.
Directly relates to Indicator 17.18.1 (Statistical capacity indicator) through work to “expand the contributor base for data collection” and “refine the survey design.”

Source: bruegel.org