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It is clear that the trend toward measuring and managing greenhouse gas (GHG) emissions on a global scale is not slowing, even though different countries and geographic regions are approaching the issue with different points of view and different levels of vigor. Along with an increase in measuring and managing GHG emissions, enterprises around the world should expect to see a higher level of independent assurance and audit reporting needed. The purpose of this paper is to identify and discuss the challenges and opportunities that accompany GHG emissions accounting and auditing, as well as the supply chain and operational dependencies that are different from traditional financial auditing.

This paper explores the challenges and opportunities from measuring and auditing GHG emissions, and contrasts audits of sustainability information with more traditional financial auditing. It also explores some of the issues in supply chain and operational dependencies that are important in measuring and auditing GHG emissions and are different from more traditional accounting practices.

With the importance of processes to independently audit GHG emissions and natural resource consumption expected to grow in the future, it is important to understand how past experience with financial accounting and auditing can play a role in shaping the future for environmental stewardship. This paper shows that there are a number of key differences between financial and carbon auditing, which must be considered as enterprises begin to consider how to best support increasingly important sustainability reporting. As more publicly traded firms voluntarily issue sustainability reports and new legislation drives a greater need for standardized carbon accounting, so too will the need for auditing GHG emissions grow. This paper explains that GHG auditing will require cross‐functional skills with operational and process knowledge, accounting capabilities and an understanding of how operational data correlates with estimates for GHG emissions.

Much existing work addresses why, where, how, and who should be measuring and managing GHG emissions, but little attention is being given to the unique challenges that must be overcome in order to achieve reporting transparency. Independent auditing of GHG emissions has maintained a low profile while reporting is voluntary and standards are not fully agreed upon. However, with the possibility of legally binding legislation on the horizon, enterprises that are prepared to audit their GHG emissions and resolve issues early will be well positioned from both a compliance and market‐competition perspective.

Climate change requires the reduction of direct and indirect greenhouse gas (GHG) emissions, a task that seems to clash with increasing supply chain complexity. This study aims to analyse the upstream supply chain complexity dimensions suggesting the importance of understanding the information processing that these may entail. Reducing equivocality can be an issue in some dimensions, requiring the introduction of written guidelines to moderate the effects of supply chain complexity dimensions on GHG emissions at the firm and supply chain level.

A three-year panel data was built with information obtained from Bloomberg, Trucost and Compustat. Hypotheses were tested using random effect regressions with robust standard errors on a sample of 394 SP500 companies, addressing endogeneity through the control function approach.

Horizontal complexity reduces GHG emissions at the firm level, whereas vertical and spatial complexity dimensions increase GHG emissions at the firm and supply chain level. Although the introduction of written guidelines neutralises the negative effects of vertical complexity on firm and supply chain GHG emissions, it is not sufficient in the presence of spatial complexity.

This paper offers novel insights by suggesting that managers need to reconcile the potential trade-off effects on GHG emissions that horizontally complex supply chain structures can present. Their priority in vertically and spatially complex supply chain structures should be to reduce equivocality.

The purpose of this paper is to analyse the influence of economic growth, digitalisation, eco-innovation, energy consumption and patents on environmental technologies on the volume of greenhouse gas emissions (GHG) recorded in European countries for a period of nine years (2010–2018).

Two empirical methods were integrated into the theoretical approach developed based on the analysis of the current scientific framework. Multiple linear regression, an extended version of the OLS model, and a non-causal analysis as a robustness method, Dumitrescu–Hurlin, were used to achieve the proposed research objective.

Digitalisation described by the number of individual Internet users and patents on environmental technologies determines the amount of GHG in Europe, and economic growth continues to have a significant effect on the amount of emissions, as well as the consumption of renewable energy. European countries are not framed in well-established patterns, but the economic growth, digitalisation, eco-innovation and renewable energy have an impact on the amount of GHG in one way or another. In many European countries, the amount of GHGs is decreasing as a result of economic growth, changes in the energy field and digitalisation. The positive influence of economic growth on climate neutrality depends on its degree of sustainability, while patents have the same conditional effect of their translation into environmentally efficient technologies.

This study has a number of limitations which derive, first of all, from the lack of digitalisation indicators. The missing data restricted the inclusion in the analysis of variables relevant to the description of the European digitalisation process, also obtaining conclusive results on the effects of digitalisation on GHG emissions.

A similar analysis of the relationship among the amount of greenhouse gas emissions and economic growth, digitalisation, eco-innovation and renewable energy is less common in the literature. Also, the results can be inspirational in the sphere of macroeconomic policy.

The purpose of this paper is to develop a greenhouse gas (GHG) management model for mitigating GHG emission. GHG emission by way of human activities is causing catastrophic effects on the natural environment in the form of climate change and global warming. GHG management of different products, bodies and processes is going on worldwide, expressed through carbon footprints by using product life cycle assessment (LCA). LCA is a useful approach, but it only looks at the micro level of cause-effect scenarios rather than the macro level cause-effect scenarios of GHG emission. Therefore, a system to scrutinize underlined assumptions and values of such policies/strategies is an urgent necessity.

This paper uses the double-loop learning concept, which was proposed by Argyris in 1976, to develop a triple cause-effect model for the management of GHG emission. The proposed model has a knowledge system that introduces the learning loop of GHG emission and environmental impact management.

A case study is conducted to demonstrate how the proposed triple cause-effect model is operationalized. The ideas and benefits of the proposed model are further discussed.

A triple cause-effect model for the measurement and analysis of GHG emission is proposed in this paper to complement GHG management by using only product LCA. This paper seeks to show that GHG management should look at not only a single tree (product LCA approach) but also the whole forest (the proposed model).

The emission of greenhouse gases has become an increasingly relevant topic in supply chain management. The steel industry is a highly intensive manufacturing industry with significant emission levels, particularly Scope 3 emissions, which are the indirect emissions from suppliers. Since a supply chain is seen as a non-mandatory measurement item within GHG measurement protocols, this article contributes to the literature on assessing the suppliers of a focal company relative to their emissions for complying with Scope 3 (indirect emissions). It adds to the evolving literature on low-carbon supply chains.

This study first conducted a survey with 110 suppliers from a focal transnational buyer company. A cluster analysis was performed, and ANOVA compared constructs relating to public or private ownership and country of origin. Finally, regression tested the relationship between the motivators and governance in the mitigation strategies.

Using cluster analysis, two groups of companies were found that have statistically significant differences. The influence of the country of origin was also found in relation to governance and mitigation strategies, as was the influence of the type of company on governance. Furthermore, the more motivated the suppliers and the more governance measures they adopt, the more companies adopt their own GHG mitigation strategies. These findings are summarized by way of an analytical framework that integrates the constructs with empirical evidence.

The steel industry is a sector that is particularly energy-intensive and produces millions of tons of CO₂ per year. Emissions from its SC (Scope 3) are relevant but still seen as a non-mandatory item for measurement purposes within the GHG measurement protocols, which leads to less attention being paid to the subject. This study contributes by way of its analytical framework that is validated by empirical data that can be tested in further studies.

The purpose of this study is to examine the effects of three strategic environmental options on reducing greenhouse gas (GHG) emissions. Namely, we examine the effects of pollution prevention and waste management (PPWM) practices, green supply chain (GSC) practices, and outsourcing on reducing local and supply chain GHG emissions.

Using ASSET4 and deploying first-differencing fixed-effects panel data models, the study conducts a large-scale empirical examination on the effects of these focal strategic environmental options on GHG emissions.

This study finds that PPWM practices reduce local GHG emissions and that GSC practices reduce supply chain GHG emissions. The results also show that outsourcing does not reduce local GHG emissions and has an adverse effect on supply chain GHG emissions.

The study findings indicate that environmental practices are effective in reducing GHG emissions. However, they are effective only in their corresponding domain. Further, outsourcing is not a viable strategic option, and managers should be mindful of its undesired environmental consequences.

Firms undertake strategic environmental options, such as implementing environmental practices and reallocating production activities, to improve their environmental performance. Nevertheless, the effectiveness of these options on reducing GHG emissions has not been thoroughly examined.

The purpose of this paper is to explore the evolution of greenhouse gas (GHG) reporting quality and to determine whether the evolution of reporting quality is linked with the type of information reported based on the “search”, “experience”, and “credence” typology.

The method is based on the content analysis of GHG reporting in 245 sustainability reports by 45 oil and gas companies between 1998 and 2010. The content analysis disclosure index developed links GHG reporting requirements with seven quality dimensions. The information associated with each item on the content analysis index is classified as “search”, “experience” or “credence”. Statistical analysis is used to determine whether any significant change occurred in either overall GHG reporting quality or in the quality of reporting in any of the individual dimensions of quality over the period of the study.

GHG reporting quality has not improved significantly between 1998 and 2010. The quality of reporting is not the same in each of the seven dimensions of quality and this can be explained by information typology.

This paper provides the first longitudinal analysis of the quality of GHG reporting. The methodology developed advances current measures of reporting quality by linking reporting requirements with particular quality dimensions. The results show that the type of information is important in terms of quality evolution and that this can dictate the measures required to improve quality.

Mitigating agricultural greenhouse gas (GHG) emissions is an essential part of China's effort to achieve net-zero emissions. This study assesses the cost-effectiveness of China's agricultural GHG reduction under diverse carbon policies.

The study employs a parametric non-radial distance function approach and estimates the technical abatement potential and marginal abatement cost (MAC) of GHG in China's agricultural sector for the 2008–2017 period.

Agriculture is expected to make a great contribution to China's net-zero emissions progress. This study empirically analyses the cost-effectiveness of China's agricultural GHG reduction under diverse carbon policies. A parametric non-radial distance function approach is used to derive technical abatement potential and MAC of GHG for the 2008–2017 period. The results indicate that no significant improvement had been achieved in terms of agricultural GHG reduction in China during 2008–2017. The country's agricultural sector could reduce 20–40% GHG emissions with a mean value of 31%. In general, western provinces have larger reduction potential than eastern ones. The average MAC for the whole country is 4,656 yuan/ton CO₂e during 2008–2017. For most western provinces, their MAC values are considerably higher than those for most eastern provinces. Compared with previous sectoral estimates of GHG mitigation cost, this study’s estimates indicate that reducing agricultural GHG emissions in some provinces is likely to be cost-effective. The Chinese government should consider expanding its national carbon market to cover agricultural sector.

The Chinese government should consider expanding its national carbon market to cover agricultural sector.

Existing studies in the field mostly ignore input constraints, which is inconsistent with carbon mitigation policy practice, especially in the agricultural sector. This study’s approach integrates both input and output constraints reflecting differing policy practice.

During the planting process, agricultural products produce large amounts of greenhouse gas (GHG) emissions. This has placed tremendous pressure on sustainable global development. Many countries and regions in the world have adopted intensive subsistence cultivation methods when planting maize; however, limited studies exist on these methods. The main purpose of this research is to show the impact of climate change on maize yields and carbon footprint (CF) in South Korea over 10 years, find the proper operating method and promote the advanced combination of inputs for the sustainable development of maize farmers.

This study used survey data from the South Korea Rural Development Administration of 2010, 2014 and 2019 to estimate the CF of maize planting under intensive subsistence cultivation. Life-cycle assessment was used to determine the CF. Farmers were grouped according to significant differences in yield and GHG emissions. Linear regression was used to measure the dependence of the main contributors on the CF production and carbon efficiency.

In South Korean maize planting, N in chemical fertiliser was the most significant contributor to the CF and organic fertiliser was the most significant input. The use of chemical and organic fertilisers significantly affects the production of the CF and carbon efficiency. Households in the high-yield and low-GHG emission groups are more sustainable because they generate the least GHG when producing and earning through maize cultivation. Globally, maize production in South Korea has a relatively low CF and maize production produces fewer GHG.

This study provides information for policymakers to determine key operational options for reducing GHG emissions using intensive subsistence cultivation of maize production in South Korea and other countries.

Cities are crucial to reducing greenhouse gas (GHG) emissions. This paper aims to explore the quality of GHG disclosures by cities via the Carbon Disclosure Project (CDP) and compares them with the expectations of users.

The expectation gap framework is used to examine the GHG disclosure quality of 42 cities. User expectations are determined via a literature review and CDP documentation. City disclosures are reviewed using content analysis.

GHG information at the city level is outdated, incomplete, inconsistent, inaccurate and incomparable and, therefore, to meet user expectations, improvement is needed.

The findings have implications for policymakers, stakeholders and managers. Guidelines are required for better disclosure of GHG information relating to cities, and stakeholders need to develop better skills to understand emissions information. Managers have a responsibility to measure, disclose and mitigate GHG emissions to meet the expectations of stakeholders.

Prior studies focus on GHG disclosures via the CDP by corporations. This is the first accounting study to examine GHG disclosures by cities via the CDP. The expectation gap framework is a novel approach to sustainability disclosure research.