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Corporate Carbon Management System Quality and Voluntary Carbon Assurance: The Moderating Effect of Institutional Setting

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ABSTRACT This study examines the relationship between voluntary carbon assurance (VCA) and carbon management system quality (CMSQ). Using a sample representing more than 40 countries over the period 2011–2018, we show empirically that firms with superior CMSQ tend to adopt VCA to show their commitment to a green transition to a decarbonised business model. Furthermore, the institutional context has a significant influence on this relationship. More specifically, the relationship between CMSQ and VCA is stronger in carbon‐intensive sectors. In addition, the existence of an emissions trading scheme and better governance also strengthen the association. However, the relationship is weaker in companies that operate in developing countries and in code‐law countries compared to common‐law countries. The results are robust to alternative proxies and various model specifications. Our study yields important insights for policymakers, managers and researchers. Specifically, by identifying the factors that motivate firms to adopt VCA, stakeholders can develop more robust policies to promote both VCA and high‐quality carbon management systems.

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  • 10.1142/s1094406023500014
Carbon Management System Quality and Corporate Financial Performance
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  • The International Journal of Accounting
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Synopsis The research problem This study examines the relationship between carbon management system quality and firm performance and investigates the mechanisms through which a carbon management system relates to firm performance. Motivation or theoretical reasoning Despite growing attention from academia and practice on carbon accounting in recent years, little is known about firms’ strategic implementation of carbon management systems and their impact on firms’ financial outcomes. Drawing on the resource-based view and institutional theory, this study argues that carbon management system implementation can create competitive advantages for firms through product differentiation and cost leadership. However, adopting quality management systems for carbon mitigation can be costly for firms. Additionally, not all firms would achieve such a differentiation advantage through a carbon management system. The test hypotheses H1: There is no relationship between the quality of a carbon management system and firm financial performance. H2: Carbon-intensive sectors have no moderating effect on the relationship between the quality of a carbon management system and firm financial performance. Target population Corporate managers and stakeholders including investors, international regulators, and standard settees. Adopted methodology Ordinary least square regressions. Analyses Corporate financial performance is measured by return on assets, calculated as earnings before extraordinary items divided by total assets at fiscal year-end. Our independent variable of interest is the quality measure of a carbon management system (QCMS). Following Tang and Luo ( 2014 ) and Luo and Tang ( 2016 ), QCMS is calculated as the average equal weighted sum of the standardized values from the 10 elements of a carbon management system. For additional tests, alternative performance measures (e.g., Tobin’s Q, return on equity, operating return on assets [ROA], and cash flow from operating activities to total assets) and disaggregated ROA components are employed as dependent variables. Findings We find that a firm’s carbon management system quality is positively associated with its financial performance. A better-quality carbon management system is especially associated with higher revenues, margins, and R&D expenditures. In addition, individual carbon management system components exhibit heterogeneous influences on financial performance. Specifically, the areas related to carbon disclosure and external carbon assurance have an incremental impact on financial performance. The positive association between a carbon management system and financial performance is stronger for firms operating in carbon-intensive sectors and firms with a higher level of carbon emissions. The carbon regulation affects the sensitivity of financial performance differently in intensive and non-intensive sectors in response to carbon management system quality.

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Hazard Analysis Critical Control Point (HACCP) is a quality assurance, food safety, and risk management system with a preventive approach to ensure food safety for consumers. Food served during in–flight travel is provided by in–flight catering. Airline food has very high standards regarding food quality and safety. The purpose of this study is to analyze the application of HACCP to aviation food products by identifying potential hazards and applying Critical Control Points (CCP). The method used in this study is Critical Control Point (CCP) observations, carried out at the receiving (CCP 1), chiller and freezer (Storage) (CCP 2), cooking (CCP 3), blast chilling (CCP 4), and serving (CCP 5) stages. The company has created a HACCP plan as a guide for all processes that occur within the company. All are organized based on HACCP principles for the entire process. Keywords: CCP, Food Safety, HACCP, Inflight Catering, ISO 22000.

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Complex global food chains and rising demand for high-quality halal product requires better and more efficient management. Traditionally, the Halal Assurance System (HAS) and Quality Management System (QMS) have been implemented separately, resulting in overlapping processes and redundant documentation. In the era of digital transformation and Industry 4.0, integrating these systems digitally improves traceability, compliance, and overall organization’s performance. This review aimed to examine current trends, technologies, and research gaps related to the digitalization of integrated Halal and Quality Management Systems (HAS–QMS). A comprehensive literature analysis highlights the role of emerging technologies—such as blockchain, the Internet of Things (IoT), artificial intelligence (AI), cloud computing, and big data analytics—in supporting halal integrity and quality assurance across the food value chain. The findings indicated that digital integration facilitates real-time monitoring, automated documentation, and improved audit readiness. However, challenges persist in areas such as data interoperability, standard harmonization, regulatory acceptance, and the digital readiness of small and medium enterprises. The paper proposed a conceptual framework for the digitalized integration of HAS and QMS, aligning technological capabilities with halal and quality compliance requirements. To align with industry 5.0, future research should standardize models, test performance, and integrate sustainability and ethical standards.

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Quality Assurance in Biobanking for Pre-Clinical Research
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It is estimated that not less than USD 28 billion are spent each year in the USA alone on irreproducible pre-clinical research, which is not only a fundamental loss of investment and resources but also a strong inhibitor of efficiency for upstream processes regarding the translation towards clinical applications and therapies. The issues and cost of irreproducibility has mainly been published on pre-clinical research. In contrast to pre-clinical research, test material is often being transferred into humans in clinical research. To protect treated human subjects and guarantee a defined quality standard in the field of clinical research, the manufacturing and processing infrastructures have to strictly follow and adhere to certain (inter-)national quality standards. It is assumed and suggested by the authors that by an implementation of certain quality standards within the area of pre-clinical research, billions of USD might be saved and the translation phase of promising pre-clinical results towards clinical applications may substantially be improved. In this review, we discuss how an implementation of a quality assurance (QA) management system might positively improve sample quality and sustainability within pre-clinically focused biobank infrastructures. Biobanks are frequently positioned at the very beginning of the biomedical research value chain, and, since almost every research material has been stored in a biobank during the investigated life cycle, biobanking seems to be of substantial importance from this perspective. The role model of a QA-regulated biobank structure can be found in biobanks within the context of clinical research organizations such as in regenerative medicine clusters.

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