This paper consists of six sections. Section 1 introduces the development and main challenges of carbon markets (including ETS and carbon offset projects). Section 2 introduces blockchain technology. Section 3 presents the systematic literature review methodology, the research questions, and the data collection procedure. Section 4 discusses the findings of this SRL. Section 5 highlights the theoretical implications and presents further research directions. Section 6 provides the conclusion and limitations

Case Study 7: AmplyTheme: Impact investing Sub-themes: Education SDGs: What is it about: Amply, from the ixo Foundation (2017), is digitizing the management of South Africa’s early education program by recording children’s school attendance on the Ethereum blockchain and issuing tokens as proof of impact in exchange for governmental subsidies

We believe that all future decisions, whether they are business decisions, investment decisions, or broad consumer behavior, will be influenced by a company's effect on people and the planet. Understanding the widespread implications of a company's operations can only be achieved through real-time access to verified ESG and Impact data. We are building the digital infrastructure that will transform the market and create transparency to help drive the growth of next-generation businesses.

Ajuste fino de la API OpenAI (GPT3) en su segundo cerebro (Obsidian)

Nuestra investigación consolida el entorno real de blockchain aplicaciones que contribuyen de cierta manera a la protección del clima. En vista del creciente interés en el cambio climático y la necesidad de actuar a escala mundial, el conocimiento sobre estas aplicaciones permite a los inversores, políticos y ciudadanos impulsar este desarrollo a través de diversas oportunidades de apoyo. Este artículo proporciona una visión general extensa de las medidas de mitigación y adaptación existentes basadas en la tecnología blockchain. Recopilamos datos sobre 85 de estas aplicaciones y describimos las distribuciones empíricas de diferentes atributos de estas aplicaciones. En una regresión de logit, analizamos qué características específicas de la aplicación y específicas de blockchain determinan el éxito de una aplicación en el sentido de un estado operativo avanzado. Encontramos evidencia de que las aplicaciones del tipo "comercio de energía" exhiben menores posibilidades de éxito, mientras que las aplicaciones basadas en blockchain verde que implementan un mecanismo de consenso de prueba de riesgo tienen más probabilidades de ser operativas. Además, la búsqueda de una oferta inicial de monedas no tiene un efecto significativo en el éxito de una solicitud. Nuestro trabajo proporciona la base para una mejor comprensión de los factores de éxito de esta nueva tecnología.

marco ahora para evaluarlos y compararlos

Trends in Global Emissions Source: Boden, T.A., Marland, G., and Andres, R.J. (2017). Global, Regional, and National Fossil-Fuel CO2Emissions. Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, U.S. Department of Energy, Oak Ridge, Tenn., U.S.A. doi 10.3334/CDIAC/00001_V2017. Global carbon emissions from fossil fuels have significantly increased since 1900. Since 1970, CO2 emissions have increased by about 90%, with emissions from fossil fuel combustion and industrial processes contributing about 78% of the total greenhouse gas emissions increase from 1970 to 2011. Agriculture, deforestation, and other land-use changes have been the second-largest contributors.[1] Emissions of non-CO2 greenhouse gases have also increased significantly since 1900. To learn more about past and projected global emissions of non-CO2 gases, please see the EPA report, Global Anthropogenic Non-CO2 Greenhouse Gas Emissions: 1990-2020.

Emissions by Country Source: Boden, T.A., Marland, G., and Andres, R.J. (2017). National CO2 Emissions from Fossil-Fuel Burning, Cement Manufacture, and Gas Flaring: 1751-2014, Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, U.S. Department of Energy, doi 10.3334/CDIAC/00001_V2017. In 2014, the top carbon dioxide (CO2) emitters were China, the United States, the European Union, India, the Russian Federation, and Japan. These data include CO2 emissions from fossil fuel combustion, as well as cement manufacturing and gas flaring. Together, these sources represent a large proportion of total global CO2 emissions. Emissions and sinks related to changes in land use are not included in these estimates. However, changes in land use can be important: estimates indicate that net global greenhouse gas emissions from agriculture, forestry, and other land use were over 8 billion metric tons of CO2 equivalent,[2] or about 24% of total global greenhouse gas emissions.[3] In areas such as the United States and Europe, changes in land use associated with human activities have the net effect of absorbing CO2, partially offsetting the emissions from deforestation in other regions.