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This chapter explores the evolving legal and regulatory landscape within the Gulf states, focusing on Qatar, Saudi Arabia, and the UAE, as these countries strive to curtail carbon emissions. This chapter also offers a prescriptive analysis, proposing custom-designed legal and regulatory frameworks specifically tailored to the unique economic and legal environments of each nation. This analysis details viable carbon reduction strategies that not only promote environmental sustainability and meet their climate pledges but also bolster economic growth, fostering a win–win scenario for the Gulf states. This chapter presents a strategic roadmap for implementing these initiatives within each country’s specific macroeconomic context. By offering actionable and contextually relevant strategies for impactful climate action, this chapter aims to significantly enrich the dialogue on environmental policy and climate change mitigation efforts in the Gulf region.
This chapter sets the scene by examining the context of China’s energy transition and its pivotal role in the global energy landscape. It delineates the interplay between China’s domestic energy transformations and international engagements, mapping out the drivers and challenges inherent in this transition. This chapter also previews the core arguments that the book will further elaborate on.
The European Green Deal (EGD) provides a strategic framework for the European Union’s (EU) transition to climate neutrality by 2050. Yet, limited integration of socio-economic dimensions may hinder its long-term success and fairness. This study investigates the indirect impacts of socio-economic factors on EGD performance by constructing a Green Deal Performance Index (GDPI) using a multi-criteria decision-making approach for 22 EU countries over 2010–2020. We then apply an instrumental variable regression approach to estimate how emissions, shaped by structural socio-economic conditions, affect the GDPI. Our results show that the negative impact of emissions is nearly 47 times larger when socio-economic dynamics are ignored. These findings underscore the necessity of inclusive policymaking for achieving carbon neutrality, contributing to discussions on ensuring a just transition by highlighting the critical role of socio-economic dynamics. We also present implications for policymakers developing fair and equitable strategies promoting sustainability and social justice in this context.
Medicines and devices have significant negative impacts on the environment. Increasingly, Health Technology Assessment (HTA) agencies, which inform healthcare decision making, are expected to integrate environmental issues into their assessments. This study assessed how HTA agencies have responded to these calls, with a focus on two national agencies that have committed to this agenda.
Methods
This descriptive study was conducted using document review. All relevant documents from both agencies were systematically collected and analyzed using descriptive statistics and content analysis.
Results
Thirty documents (2015–2024), from Canada’s Drug Agency (CDA) (17) and England’s National Institute for Health and Care Excellence (NICE) (13) that included environmental considerations were analyzed. Although no HTAs have assessed environmental data, primarily due to a lack of data and methods, documents demonstrate that CDA and NICE are employing varied strategies to incorporate environmental considerations through technology guidance. The agencies demonstrate both differences and similarities in approach: NICE focused on carbon and the use phase, whereas CDA focused on multiple environmental impacts across the lifecycle; both agencies are beginning to address the environmental impacts of devices, but there is a notable absence of medicines-related work.
Conclusions
This study demonstrates that the agencies are exploring alternative strategies to elevate attention to the environmental impacts of health technologies. Differences in focus (e.g., whether to prioritize carbon emissions) and shared inattention to medicines point to deeper tensions. Thus, although both agencies have taken important steps forward, much work remains to fully address the environmental harms of health technologies.
This study uniquely explores the impact of militarization on carbon emissions in North Atlantic Treaty Organization (NATO) countries from 1985 to 2019 using panel econometric techniques. NATO countries, characterized by substantial defense budgets, advanced technologies, high industrialization, and significant energy consumption, offer a unique context for examining these factors. Employing the Pooled Mean Group Autoregressive Distributed Lag (PMG-ARDL) and FMOLS models, the research analyzes the long-term and short-term dynamics across three groups: traditional NATO members (Group 1), new NATO members (Group 2), and a combined group (Group 3). Relevant variables used in the estimation are industrialization, technological innovation, energy consumption, and economic growth. Findings reveal that in Group 1, military expenditure and energy consumption significantly increase carbon emissions, while industrialization and technological innovation reduce them. In Group 2, increased military spending and industrialization reduce emissions, but energy consumption and technological innovation increase them. For Group 3, economic growth significantly drives emissions, whereas industrial advancements and selective technological innovations mitigate them. The study underscores the need for tailored environmental policies and technological advancements to reduce carbon emissions, contributing to sustainable development within military alliances. These insights are crucial for policymakers aiming to balance defense needs with environmental sustainability in NATO countries.
India needs to balance carbon mitigation with its developmental priorities. The Indian district acts as an important administrative site where national- and state-level developmental and environmental policies are translated into ground-level implementation. In this work, we provide a replicable approach to analyze the evolution of district-level carbon emissions in near real-time. Our work shows that emissions are concentrated in a small number of districts, with this concentration increasing over time. We also find significant inter-district variation in the growth of emissions. We demonstrate the utility of high-resolution emissions data through three examples.
Technical summary.
With India accounting for a growing share of world emissions, the country's carbon emissions trajectory is important from a global mitigation perspective. At the same time, India is simultaneously attempting to achieve both environmental and developmental goals. The district acts as an administrative site that is important for India's future trajectory, as developmental and environmental policies at the national and state levels get translated to actual implementation at the district level. In this work, we study the evolution of carbon emissions at the district level in India. We rely on the GRACED dataset that provides daily emissions information for various sectors at a spatial resolution of 0.1°. We find that 7% of districts account for ∼50% of total emissions, while the bottom 50% contribute less than 9%. This spatial concentration is intensifying over time. We also document variations in the contribution of different sectors to total emissions over the year. We demonstrate the utility of high-resolution emissions data through three examples. Our approach can aid researchers and policymakers in developing targeted interventions as it is easily replicable, goes beyond existing work in its spatial and temporal resolution, and can be adapted to study district emissions in near-real time.
Social media summary.
We provide a replicable approach to assess the evolution of India's district-level carbon emissions in near-real-time.
China's energy strategies have attracted a huge amount of attention, precisely because they have been so effective. Chinese energy companies - from global oil and gas giants, to new wind and solar power success stories as well as electric grid operators, not to mention rising Electric Vehicle (EV) producers - have all had an impact on the industry, and sometimes shaken it up. In solar Photovoltaic (PV) cells there are aggressive counter-moves being made by both the US (and potentially the EU) against Chinese subsidized exports. These threaten to spill over into related sectors, and could trigger an all-out trade war.
The causes of climate change are largely due to the carbon emission activities of nation states and transnational corporations. This chapter considers these activities as crimes of the powerful, a form of ecocide, insofar as they contribute to global warming. In addition to exploring the contours of ecocide as a crime, the chapter deals with issues pertaining to contrarianism and the exploitation of natural resources, both of which protect and sustain sectional private interests rather than the majority public interest. The chapter argues that needed social transformations must go beyond “speaking truth to power” to actually confront the powerful. How this might be accomplished is examined through consideration of green capitalism, the movement toward just transitions, the idea of a Green New Deal, and the importance of transformational nationalisation. Combatting the violence of ecocide fundamentally requires root and branch change in the global political economy.
Pharmaceutical distribution routing problem is a key problem for pharmaceutical enterprises, since efficient schedules can enhance resource utilization and reduce operating costs. Meanwhile, it is a complicated combinatorial optimization problem. Existing research mainly focused on delivery route lengths or distribution costs minimization, while seldom considered customer priority and carbon emissions simultaneously. However, considering the customer priority and carbon emissions simultaneously will not only help to enhance customer satisfaction, but also help to reduce the carbon emissions. In this article, we consider the customer priority and carbon emission minimization simultaneously in the pharmaceutical distribution routing problem, the corresponding problem is named pharmaceutical distribution routing problem considering customer priority and carbon emissions. A corresponding mathematical model is formulated, the objectives of which are minimizing fixed cost, refrigeration cost, fuel consumption cost, carbon emission cost, and penalty cost for violating time windows. Moreover, a hybrid genetic algorithm (HGA) is proposed to solve the problem. The framework of the proposed HGA is genetic algorithm (GA), where an effective local search based on variable neighborhood search (VNS) is specially designed and incorporated to improve the intensification abilities. In the proposed HGA, crossover with adaptive probability and mutation with adaptive probability are utilized to enhance the algorithm performance. Finally, the proposed HGA is compared with four optimization algorithms, and experimental results have demonstrated the effectiveness of the HGA.
In this chapter I examine the statistical effect of industrialization on ethnic change. I first take Soviet-era cross-national data measuring ethnic diversity by country in 1961 and 1985 and regress the change in ethnic diversity across these twenty-four years on change in carbon emissions per capita over the same time period. The results demonstrate a strong relationship between decreasing ethnic diversity and increasing levels of industrialization, a result which is robust to the inclusion of several control variables and the use of various sub-samples, as well as alternative measures of industrialization such as cement production and urbanization. I also show that carbon emissions are robustly correlated with change in the percentage identifying with the largest ethnic group per state. I then use an alternative original dataset consisting of individual country censuses between 1960 and 2019, and show that the same effect holds, both as regards the effect of carbon emissions on ethnic fractionalization as well as robustness checks and multiple alternative measures such as electricity consumption and the share of labour in both agriculture and industry.
Here I provide an overview of the concepts of ethnicity and industrialization. I first define ethnic groups as descent-based groups and show how vertical ethnic change can take place, both through the consolidation of smaller ethnic groups into larger ones as well as assimilation into a national identity. The chapter also discusses why the book focusses on what I call vertical ethnic change instead of horizontal ethnic change, namely because the former is far more prevalent than the latter. I then provide a similar overview of the concept of industrialization, by focussing on how industrialization has historically involved a shift in the focus of the economy from rural agriculture to urban employment and from land to labour as the predominant factor of production. I justify my use of carbon emissions as my predominant cross-national quantitative measure of industrialization and my use of urbanization as my main proxy for industrialization for regions or communities within countries.
This chapter explores the European Union Emissions Trading System (EU ETS) and explains how the transition to a blockchain-based trading system could be operationalised. It also provides a legislative roadmap for aligning the EU ETS with the European Union Digital Strategy.
This chapter follows on from the previous one, evaluating the Chinese Communist Party's recent attempts to transition toward an ecocivilization and to address China's ecological and public health crisis through a new approach toward balanced economic growth. The chapter finds that while the intentions and accompanying legal reforms are admirable, implementation will likely fail due to continuing misalignment between official/corporate incentives (especially at the local level) and central policies, compounded by the fragmented political structure and subversive elements within the corporate-political system that we identified in Chapters 4–7. The chapter also critically analyzes the recent introduction of public interest environmental lawsuits brought by procurators, which, while filling a major gap in legal enforcement against polluters, too often appear to result in opaque settlements with local governments rather than strong penalties against offenders.
The agriculture and food sectors contribute significantly to greenhouse gas emissions. About 15 percent of food-related carbon emissions are channeled through restaurants. Using a contingent valuation (CV) method with double-bounded dichotomous choice (DBDC) questions, this article investigates U.S. consumers’ willingness to pay (WTP) for an optional restaurant surcharge in support of carbon emission reduction programs. The mean estimated WTP for a surcharge is 6.05 percent of an average restaurant check, while the median WTP is 3.64 percent. Our results show that individuals have a higher WTP when the surcharge is automatically added to restaurant checks. We also find that an information nudge—a short climate change script—significantly increases WTP. Additionally, our results demonstrate that there is heterogeneity in treatment effects across consumers’ age, environmental awareness, and economic views. Our findings suggest that a surcharge program could transfer a meaningful amount of the agricultural carbon reduction burden to consumers that farmers currently shoulder.
This paper examines whether green Official Development Aid (ODA) has a significant role in mitigating carbon emissions in recipient countries, and if institutional quality matters for the effectiveness of green ODA. For 86 green ODA recipient countries over the period 2003–2014, we explore the nexus between green ODA, institutions and carbon emissions. By using a two-step system generalized method of moment (GMM), we find that green ODA overall has no direct association with the mitigation of carbon emissions. However, when institutional quality indices are included, we found a significant effect of institutional quality on the effectiveness of green ODA. In general, green ODA is associated with higher carbon emissions in countries with poor institutions. In particular, green ODA is effective in mitigating carbon emissions when channeled to countries that enjoy higher economic freedom as well as more freedom from corruption. Results are mixed for the rule of law.
In the rapidly expanding literature on the ethics of climate engineering, a lot has been made of the fact that stratospheric aerosol injection would for the first time create a world whose climate had been intentionally shaped by deliberate human decisions. Intention has always mattered in ethics. Due to the importance of intention in assigning culpability for harms, one might expect that the moral responsibility for any harms created during an attempt to reconstruct the global climate using stratospheric aerosols would be considerable. This article investigates such an expectation by making a comparison between the culpability for any unintended harms resulting from stratospheric aerosol injection and culpability for the unintended harms already taking place due to carbon emissions. To make this comparison, both types of unintended harms are viewed through the lens of the doctrine of double effect. The conclusion reached goes against what many might expect. The article closes by suggesting that a good way to read this surprising conclusion is that it points toward the continuing moral importance of prioritizing emission reductions.
In his article “Carbon Emissions, Stratospheric Aerosol Injection, and Unintended Harms,” Christopher J. Preston compares the culpability of carbon emitters versus that of geoengineers deploying stratospheric aerosol injection (SAI). This comparison relies on a parallel between carbon emitters and SAI deployers that requires both to be agents. However, both are not. While the harms of geoengineering will be caused by culpable agents acting intentionally, the harms connected to climate change emerge out of the uncoordinated actions of billions of people. Taken as a large group, carbon emitters cause harm but do not constitute an agent. Taken individually, carbon emitters are agents but do not cause the harms of climate change. As a result, the parallel collapses, and Preston's “surprising” conclusion is one that he is not entitled to reach.
Reducing greenhouse gas emissions in the world's two largest countries requires feasible governance pathways that integrate politics, policy and administration. Using examples of successful mitigation at the local level in China (Guangzhou) and India (Gujarat), this article identifies integrated governance solutions that work in both cases through different types of linkages. In China, it is mainly intra-governmental linkages, while in India it is mainly state–society linkages. In neither case do international negotiations concerning emissions targets have significant effects, while national frameworks have only marginal effects. Approaching the problem in this comparative manner helps to clarify how greenhouse gas governance operates in each country, the lessons for central–local environmental relations, and the implications for international assistance.
The purpose of this study is to determine the navigation efficiency for transiting from various ports in Asia and Rotterdam in Europe via the Northern Sea Route. Navigation efficiency was derived from fuel consumption ratios. Preliminary research results showed that fuel consumption and the amount of carbon dioxide emissions was reduced by transiting from various ports through the European Sea Route, and the navigation efficiencies of the various ports ranked in the following descending order: Yokohama - Busan - Shanghai - Kaohsiung - Hong Kong - Singapore. The higher the ratio was, the lower the navigation efficiency of using the Northern Sea Route, i.e. more fuel was consumed and travel costs were higher. In contrast, the lower the ratio was, the higher the navigation efficiency, i.e. less fuel was consumed and travel costs were lower. Recommendations were discussed in the study.
Pasture systems for grass-fed beef production in the Gulf Coast region were evaluated for profitability and sustainability over the period 2009/2010 to 2011/2012. May-weaned steers were divided into groups and randomly placed into different pasture systems. Data on input usage, output quantities, and carbon emissions were recorded and analyzed. The least complex grazing system yielded higher profit than the most complex, but the most complex produced the lowest greenhouse gas impact. A trade-off was found between profitability and greenhouse gas impact among the systems.