This paper addresses the trade-off between unfavourable air pollution levels and favourable weather conditions for selecting a date for the staging of an outdoor event. For an event date that has been fixed, it presents a personal preference-based data-driven decision framework for individual...

In this work, we solve a real-world facility location problem by means of a mixed integer linear programming model. The problem is faced by an Italian multi-utility company operating in the sector of waste management. The company works in several Italian regions to collect and treat the urban...

Production-based accounting (PBA) and consumption-based accounting (CBA) of emissions differ in how they consider the emissions resulting from the production of internationally traded commodities. This paper applies both approaches to calculate and compare emissions for Ireland and selected...

The study seeks to provide a varieties of policy options to a newly appointed Minister on best way to reduce greenhouse gas (GHG) emissions. The study is a policy brief submitted to examine policy options that can be considered by a Minister of Environment to solve the quagmires of GHG...

The role of digital financial inclusion in economic development has been widely appreciated, and its carbon emission mitigating effect on the household sector needs to be noticed. This study investigates the impact of digital financial inclusion on household carbon emissions based on panel data...

The question of whether changes in income inequality affect CO2 emissions remains a topic of debate at both theoretical and empirical levels. The purpose of this paper is to examine the effect of changes in the full spectre of income distribution on consumptionbased CO2 emissions per capita. To...

This paper analyzes two indexes in order to capture the volatility inherent in El Niños Southern Oscillations (ENSO), develops the relationship between the strength of ENSO and greenhouse gas emissions, which increase as the economy grows, with carbon dioxide being the major greenhouse gas, and...

We present an analysis of the barriers and opportunities for incorporating air quality co-benefits into climate policy assessments. It is well known that many strategies to reduce greenhouse gas emissions also decrease emissions of health-damaging air pollutants and precursor species, including...

This paper explores the quality of Scope 3 emission data in terms of divergence and composition and the performance of machine learning models in predicting Scope 3 emissions. We do so using the Scope 3 emission datasets of three of the largest data providers (Refinitiv Eikon, and ISS). We find...

We study how air pollution impacts the U.S. labor market by analyzing effects of drifting wildfire smoke that can affect populations far from the fires themselves. We link satellite smoke plume with labor market outcomes to estimate that an additional day of smoke exposure reduces quarterly...