Voluntary carbon offset markets play an important role in climate change mitigation by deploying technologies in order of lowest abatement cost. The objective of this study is to identify the key drivers of changes in the volume of carbon credits issued in voluntary registry offset markets from...

This study conducts both theoretical and empirical analyses of how the non-legally-binding policies originating from COVID-19 affect people's going-out behavior. The theoretical analysis assumes that under a declared state of emergency, the individual going out suffers psychological costs...

Natural capital defines planetary boundaries and provides a basis for sustainable development. This study reviews previous theoretical developments and confirms that natural capital accounting within the Inclusive Wealth (IW) framework provides a robust link between current capital assets and...

Due to climate change and social issues, environmental, social, and governance (ESG) solutions receive increased attention and emphasis. Being influential market leaders, investors wield significant power to persuade companies to prioritize ESG considerations. However, investors’ preferences...

We create a large language model with high accuracy to investigate the relatedness between 12 environmental, social, and governance (ESG) topics and more than 2 million news reports. The text match pre-trained transformer (TMPT) with 138,843,049 parameters is built to probe whether and how much...

This study conducts both theoretical and empirical analyses of how the non-legally-binding policies originating from COVID-19 affect people's going-out behavior. The theoretical analysis assumes that under a declared state of emergency, the individual going out suffers psychological costs...

Greenhouse gas emissions caused by urban residents' energy consumption arise from the 1) transportation and 2) housing sectors. This energy consumption depends on the population distribution of the city. This study quantitatively examines the effectiveness of congestion tolls, carbon tax, and...

This study conducts both theoretical and empirical analyses of how the non-legally-binding policies originating from COVID-19 affect people's going-out behavior. The theoretical analysis assumes that under a declared state of emergency, the individual going out suffers psychological costs...

This study combines regression analysis with machine learning analysis to study the merit order effect of renewable energy focusing on German market, the largest market in Europe with high renewable energy penetration. The results show that electricity from wind and solar sources reduced the...

This study conducts both theoretical and empirical analyses of how the non-legally-binding policies originating from COVID-19 affect people's going-out behavior. The theoretical analysis assumes that under a declared state of emergency, the individual going out suffers psychological costs...