Abstract:The signatory countries of the Paris Agreement must submit their updated Intended National Determined Contributions (INDCs) to the UNFCCC secretariat every five years. In Colombia, this activity was historically carried out with a wide set of diverse non-interconnected sector-specific models. Given the complexity of GHG emissions reporting and the evaluation of mitigation actions on a national scale, the need for a centralized platform was evident. Such approach would allow the integration and analysis of pote… Show more
“…Analytical tools have been devised to generate low-emission scenarios (e.g., Kousksou et al, 2015;Mondal et al, 2018;Grottera et al, 2020;Correa-Laguna et al, 2021;Handayani et al, 2022;Heaps, 2022;Wambui et al, 2022), but analysing these strategies to inform regional and national policy planning requires approaches that combine modelling to address energy, the economy and the interaction between the two.…”
This paper introduces the Adaptable Macroeconomic Extension for Sustainability analysis (AMES). AMES is a multi-sector, demand-led, structuralist model designed to provide consistent economic drivers to the widely used Low Emissions Analysis Platform (LEAP). The focus is on low-emission development strategies in low- and middle-income countries. Together, LEAP and AMES form a hybrid energy-economy model that combines two approaches: bottom-up energy-systems analysis and top-down macroeconometric assessments. Because of its focus on low- and middle-income countries, AMES can simulate structural change. Moreover, unlike most macroeconomic models used for energy analysis, AMES exhibits hysteresis, in which, for example, an energy investment programme can lead to persistent, positive impacts on GDP and employment. An open-source tool hosted on GitHub, AMES is a flexible model designed to be adapted for specific needs and studies.
“…Analytical tools have been devised to generate low-emission scenarios (e.g., Kousksou et al, 2015;Mondal et al, 2018;Grottera et al, 2020;Correa-Laguna et al, 2021;Handayani et al, 2022;Heaps, 2022;Wambui et al, 2022), but analysing these strategies to inform regional and national policy planning requires approaches that combine modelling to address energy, the economy and the interaction between the two.…”
This paper introduces the Adaptable Macroeconomic Extension for Sustainability analysis (AMES). AMES is a multi-sector, demand-led, structuralist model designed to provide consistent economic drivers to the widely used Low Emissions Analysis Platform (LEAP). The focus is on low-emission development strategies in low- and middle-income countries. Together, LEAP and AMES form a hybrid energy-economy model that combines two approaches: bottom-up energy-systems analysis and top-down macroeconometric assessments. Because of its focus on low- and middle-income countries, AMES can simulate structural change. Moreover, unlike most macroeconomic models used for energy analysis, AMES exhibits hysteresis, in which, for example, an energy investment programme can lead to persistent, positive impacts on GDP and employment. An open-source tool hosted on GitHub, AMES is a flexible model designed to be adapted for specific needs and studies.
The study applied a climate change (CC) perception survey in Colombia between 2021 and 2022 to gather information about the national academic community from UNAD University (Universidad Nacional Abierta y a Distancia). The survey's fundamental component was the use of Yale's Six Americas Super Short Survey (SASSY) questions and algorithm, which allows the segmentation of the population into six audiences based on their views on climate change. In addition, the study analyzed the perception regarding causes and consequences of extreme climate events, personal engagement to reduce CC, opinions on public policies, and the willingness to participate in CC campaigns. This study contributes to increasing the understanding of the CC perception of specific community groups in developing countries. Furthermore, these pilot results can help orient universities and the academic community in designing their CC communication and education strategies.
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