Political Science > Environmental Policy

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International Monetary Fund. Statistics Dept.
Colombia is deeply committed to climate change policies, as evidenced by Law N° 1931 (2018), which outlines actions to adapt to climate change and reduce greenhouse gas emissions, aiming to decrease the vulnerability of the population and ecosystems while promoting a sustainable, low-carbon economy. The National Statistical office of the country, Departamento Administrativo Nacional de Estadística (DANE), is dedicated to developing integrated environmental and economic data, and regularly compiles and disseminates selected accounts from the System of Environmental-Economic Accounting (SEEA). However, to effectively implement climate change mitigation and adaptation strategies, Colombia requires substantial amounts of granular, relevant, and reliable data for evidence-based planning. In this context, a mission took place from July 17-21, 2023, funded by the Swiss State Secretariat for Economic Affairs (SECO) and hosted by DANE. During this mission, discussions with authorities focused on key priorities, identifying feasible developments such as enhancements to existing SEEA energy and emissions flow accounts, mineral and energy asset accounts, and the establishment of domestic carbon footprints.

Abstract

The analysis in the book suggests that LAC countries are facing substantial challenges related to climate change but have tools at their disposal to seize the opportunities that the climate change presents. To maximize opportunities and minimize the risks LAC countries will need to improve flexibility and adaptability of their economies. Policies aimed at supporting the reallocation of labor and capital across sectors, investing in basic skills and human capital, improving transparency and economic governance to encourage investment in technology and know-how, and creating fiscal space to manage the climate transition would help LAC countries position themselves to take advantage of the opportunities afforded by the climate transition.