Input Output frameworks have been widely used to study the emissions of industrial sectors either in specific economies or globally but usually focus on aggregated measures under production or consumption accounting principles (PAP and CAP). This leads to a lack of transparency in terms of the structure of the emissions and provides limited information on what are the main drivers of the emissions allocated to each sector under PAP and CAP. This information gap limits the options of policy makers to interventions on whole sectors, rather than the components of their supply chains that hold the major shares of the total embodied emissions. In this thesis we argue in favour of a more disaggregated, a ‘hot-spot’, approach that provides a better understanding of the structure of emissions under both of these headline measures. We develop a methodology to identify CO2 ‘hot-spots’ in downstream and upstream supply chains, both domestic and global. The methodology is applied first to a Single Region Input Output framework for China in 2005 identifying ‘Electricity, Gas and Water Supply’ as the Chinese sector with the highest direct emissions. Examination of the sector’s domestic downstream supply chain reveals that the majority of emissions are generated to support the final demand of other domestic sectors. Of these ‘Construction’ is the main driver and it also is the Chinese sector that is found to have the largest domestic CO2 footprint, with several emissions ‘hot-spots’ in its domestic upstream supply chain. The ‘hot-spot’ methodology is then extended to a global Inter-Regional Input Output framework to consider ‘hot-spots’ in a global supply chain context. By focusing on 2009 (the year for which appropriate data are most recently available) and UK total final demand we find that Chinese ‘Electricity, Gas and Water Supply’ is the non-UK sector with the largest direct emissions driven by UK total final demand. Studying this sector’s downstream supply chain outside China reveals that a large share of the sector’s emissions is ultimately generated to support several UK-based sectors’ domestic final demand. Furthermore, the UK ‘Health and Social Work’ sector is identified as the UK sector with the second largest global footprint to support domestic final demand. We identified a number of ‘hot-spots’ in the international part of its upstream supply chain, with a key finding being its dependence on the activity and the embodied emissions in global chemicals production. Finally, the thesis goes on to demonstrate how conducting ‘hot-spot’ analysis on disaggregated regional/sub-national Input Output tables can provide more detailed local level analysis of ‘hot-spot’ findings from the Inter-Regional Input Output framework. The key finding in this respect is the importance of introducing region specific emissions data where possible, as non-region specific data can lead in incorrect estimation of the embodied emissions in any component of the supply chains of any sectors. In general, through this research project we developed a methodology that can enhance the policy makers understanding of the structure and the drivers of the emissions generated throughout the economy. This additional information on the emissions structure, when combined with familiar IO analysis on employment and value-added for example, has the potential to lead to more targeted/focused policies, which result in significant emissions reduction with the minimum employment, resources and value-added cost.

The application of retrofit options to existing heritage buildings has become one of the most interesting topics in construction. In Victoria, BC, Canada, only 4% of commercial or institutional heritage buildings have been upgraded to current building codes in the last 10 years. Remaining 96% buildings exist with poor energy performance characteristics and a risk to occupant safety in the event of a damaging earthquake. This study investigates the importance and benefits of simultaneous energy and seismic retrofitting of existing heritage buildings. It presents a case study for a building with identifiable heritage value, located in Victoria, BC, Canada, and analyzes five feasible options in terms of energy retrofitting and presents a solution for both seismic and energy upgrading. To this aim, the energy retrofit options are compared based on the amount of saved energy, annual heating demand and estimated costs. The seismic solution is designed based on the weakness and needs of the building, and cost-effectiveness. Finally, the best solution is selected for a building that dates back to the beginning of the 20th century. This study shows that the integration of energy and seismic retrofitting of heritage buildings provides economic benefits to owners while improving energy savings and building safety. / Graduate / 2021-08-31

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The radical rise of global temperatures has put high pressure on the environment, leading to societal pressure towards politicians to reverse the trend. In light of this environmental crisis, economists all over the world agree that carbon taxes are the most cost-effective instrument for reducing carbon emissions. This study uses difference-in-differences analysis to examine the treatment effect of a carbon tax implementation in Denmark, Finland, Norway, and Sweden. Panel data from 24 OECD countries, between 1978 and 2004, is used throughout this study. This study has not found support that different levels of democracy and GDP per capita affect tax efficiency. Moreover, higher levels of urbanisation are seen to undermine the efficiency of a carbon tax, however, the result may be affected by confounding bias. Lastly, tax rate and tax coverage are both factors that seem to affect carbon tax efficiency.

With increasing popularity of indoor farming, more and more home growers are faced with sub-optimal lighting conditions in northern countries or poorly lit windows. We have designed and built a proof-of-concept system capable of reducing electricity cost and CO2 footprint of the electricity used for consumer grade grow lights without adversely impacting the grow cycle of the plant. Our system provides optimal grow light conditions for a given plant while using forecasts and live grid data from the ENTSO-E transparency platform to automatically use or store electricity during low-cost hours and avoid using grid electricity during high-cost hours, but can also be configured to prioritize electricity use when the available grid power’s carbon intensity is low. The system, consisting of a server and an embedded control unit, was designed and implemented according to Nunamaker and Chen’s five-step iterative systems development research method and later evaluated by simulating the system for 14 days using real world sunlight and grid data. The results of the simulation show a significant reduction in both spending and carbon emissions related to electricity use, with figures of 73% and 28%, respectively. However, when accounting for life-cycle cost and emissions from the battery, the prototype in its current configuration is neither profitable nor a net positive for the environment. With changes to battery type and taking advantage of economies of scale, a future version could be economically viable, but to be environmentally sustainable, further advances in eco-friendly battery production are needed.

This dissertation aims to provide models which will help companies make sustainable logistics management and transportation decisions. These models are extensions of the economic lot sizing model with the availability of multiple replenishment modes. The objective of the models is to minimize total replenishment costs and emissions. The study provides applications of these models on contemporary supply chain problems. Initially, the impact of carbon regulatory mechanisms on the replenishment decisions are analyzed for a biomass supply chain under fixed charge replenishment costs. Then, models are extended to consider multiple-setups replenishment costs for age dependent perishable products. For a cost minimization objective, solution algorithms are proposed to solve cases where one, two or multiple replenishment modes are available. Finally, using a bi-objective model, tradeoffs in costs and emissions are analyzed in a perishable product supply chain.

Yes / In this paper we explore how paying a living wage in global supply chains might affect employment and carbon emissions: Sustainable Development Goals 8 and 13. Previous work has advocated using wage increases for poorer workers to increase prices for wealthier consumers, thereby reducing consumption and associated environmental damage. However, the likely effects of such an approach remain unclear. Using an input-output framework extended with income and demand elasticities, we estimate the employment and carbon effects of paying a living wage to Brazilian, Russian, Indian and Chinese (BRIC) workers in the Western European clothing supply chain. We find negligible effects on carbon emissions but a substantial increase in BRIC employment under 3 scenarios of consumer behaviour. Changes in Western European consumption lead to small decreases in global carbon emissions and BRIC employment. However, the increase in BRIC wages increases demand in BRIC. This increased demand increases production which largely cancels out the carbon savings and generates net increases in BRIC employment. We conclude by arguing that paying higher wages in global supply chains represents a good but not sufficient step toward achieving the Sustainable Development Goals.

Yes / This study reexamines the need for Chinese enterprises to disclose climate risk information in the context of their significant contribution to climate change. The paper proposes climate risk disclosure indicators based on a sample of Chinese A-share listed companies from 2010 to 2020 and their annual reports. It explores the relationship and influencing mechanism between corporate climate risk disclosure and carbon emissions levels. The results of empirical research show that disclosing climate risk information reduces carbon emissions levels, and this mitigating effect is significantly enhanced by the moderating effects of executive environmental experience, investor attention, and government environmental supervision. Heterogeneity analysis further indicates that state-owned enterprises, those with a solid corporate green culture, or industries with high pollution emissions can better exert the carbon emission reduction effect of climate risk disclosure. In addition, physical climate risk disclosure is preferred in terms of short-term carbon emissions. In contrast, transformational climate risk disclosure is selected for long-term carbon reduction goals. Finally, empirical economic analysis indicates that high-quality climate risk disclosure can appropriately mitigate the negative impact of corporate carbon emissions on solvency and profitability compared to firms with lower disclosure levels, highlighting the importance of climate risk disclosure quality. / This work was supported by National Natural Science Foundation of China [No. 72091515], the Natural Science Foundation of Hunan Province (2022JJ40647), and Excellent Young Scholar Project of the Hunan Provincial Department of Education (23B0004). / The full-text of this article will be released for public view at the end of the publisher embargo on 12 July 2025.

The first chapter of this dissertation explores the impact of export quality on the exports of a developing and a developed country. We developed a theoretical framework using the two-country oligopolistic model with quality differentials in product. We find that enhancing export quality improves export performance of a country but it reduces domestic trade under certain conditions. In the second chapter, we test the theoretical findings of Chapter 1 empirically, using annual inter-country and intra-country trade data for 142 countries from 1963 to 2014 and by applying the gravity model of trade. We also use IMF’s Export Quality Index and Unit Value of exports to estimate a two-stage gravity model to examine the effects of producer prices and exports quality on both exports and domestic trade. Our empirical findings are consistent with our theoretical predictions. The empirical findings suggest that quality has a positive impact on international trade and a 1% increase in quality leads to an increase in total exports by 1.08%. A 1% increase in quality leads to a fall in intranational trade by 2.69%. The effect of improving export quality on the exports is more pronounced for OECD countries than the non-OECD countries. This study also discusses the policy measures that developing countries should take to compete effectively in the international market and break the cycle of over-reliance on low-quality export goods and achieve higher economic growth.The third chapter explores the impact of export quality on carbon emissions and fossil fuel energy use. We estimated an OLS with fixed effects and conducted a 2SLS analysis using data for 163 countries from 1980–2014. We have found a positiveassociation between export product quality upgrading and fossil fuel consumption for non-OECD member countries and a negative association for OECD member countries. A 1% increase in export quality increases fossil fuel consumption by 0.092% in non-OECD countries and reduces fossil fuel consumption by 1.57% in OECD countries. Similarly, we also found a positive association between export product quality upgrading and carbon emissions for non-OECD member countries and a negative association for OECD countries. A 1% increase in export quality increases carbon emissions by 0.139% in non-OECD countries and reduces carbon emissions by 1.327% in OECD countries. Our results also indicate that the Environmental Kuznets Curve (EKC) hypothesis is valid.

Nearly half of Britain’s carbon dioxide emissions result from the activity of households, both within the home and from personal transport. This research examines how the carbon dioxide emissions of households can be reduced, particularly through the calculation of carbon footprints and testing the public’s reaction to the concept of personal carbon allowances (PCAs). Two data collection stages were used - a postal survey providing quantitative data, followed by semi-structured interviews producing mainly qualitative data. The research was carried out in a largely rural district which is run by a council noted for its work on sustainable energy, Newark and Sherwood. The survey looked at PCAs as well as a variety of contemporary issues that might influence household footprints such as energy efficiency grants and information, as well as relationships with gas and electricity suppliers. Each interview involved the calculation of a household carbon footprint, the identification of measures to reduce it, and the gathering of attitudes about personal carbon allowances, in order to identify challenges and opportunities with respect to reducing household carbon emissions. Support for PCAs was higher than anticipated, and tended to be associated with those who were prepared to use public transport or cycle more, or were supportive of renewable energy in homes. Interviewees had much to say about individual carbon reducing measures. Opposition was associated with those who envisaged that they would be unlikely to sell carbon units. Regarding personal transport, long commutes were common, and the cost of public transport was of concern. Specific findings were made about domestic heating, insulation, lighting, refrigeration, water use, commuting, public transport, and rail as an alternative to short-haul flights. There was more interest in monetary savings than carbon savings. Recommendations about policy and regarding further research are made.