Carbon footprint as environmental performance indicator for the manufacturing industry

CIRP Annals ◽  
2010 ◽  
Vol 59 (1) ◽  
pp. 37-40 ◽  
Author(s):  
A. Laurent ◽  
S.I. Olsen ◽  
M.Z. Hauschild
Foods ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 1664
Author(s):  
Juan Sebastián Castillo-Valero ◽  
Inmaculada Carrasco ◽  
Marcos Carchano ◽  
Carmen Córcoles

The continuous growth of the international wine trade and the expansion of international markets is having significant commercial, but also environmental, impacts. The benefits of vineyards in terms of ecosystem service provision are offset by the increase in CO2 emissions generated by transportation. Denominations of Origin, as quality labels, emphasise a wine’s links to the terroir, where specific elements of culture and environment merge together. However, Denominations of Origin can also have differentiating elements as regards environmental performance. Drawing on an extended multiregional input–output model applied to the Spanish Denominations of Origin with the largest presence in the international wine trade, this study shows that wines with the greatest exporting tradition are those that most reduced their carbon footprint per litre of exported wine in the period 2005–2018, thus being the most environmentally efficient.


2018 ◽  
Vol 29 (2) ◽  
pp. 273-294 ◽  
Author(s):  
Nutcharee Pakdeechoho ◽  
Vatcharapol Sukhotu

Purpose The purpose of this paper is to investigate the relationship between sustainable supply chain collaboration (SSCC) and sustainability performance, and examine whether two types of incentives moderate this relationship. This empirical investigation of the Thai food manufacturing industry provides insight in the context of an emerging economy. Design/methodology/approach Survey data were collected from 215 food manufacturing firms in Thailand, and the hypotheses were tested by exploratory factor analysis, hierarchical regression analysis, and cluster analysis. Findings The results indicate that SSCC leads to better economic and social performance, but not necessarily better environmental performance; incentives provided by firms in the supply chain enhance the effects of SSCC on social performance. Practical implications The findings provide useful suggestions for supply chain managers and policy makers about effective collaboration and the use of incentives to improve the sustainability of individual firms in the supply chain. They also reveal the challenges faced by manufacturing firms in improving environmental performance in an emerging economy. Originality/value This study contributes to the literature on the implementation of sustainable supply chain management by explaining the role of incentives.


2011 ◽  
pp. 1198-1212
Author(s):  
Bhuvan Unhelkar ◽  
Amit Tiwary

This chapter extends and applies the concepts of Business Intelligence (BI) within business to help improve its environmental performance. When BI is used to improve customer service and optimize business performance, the result can also be used to reduce the carbon footprint of the organization. Various ways to improve customer service as well as cross-selling and up-selling to customers are discussed in the context of the carbon footprint – and with suggestions to improve that footprint. This is a strategic approach to the use of BI in environmental performance – resulting in what is called Environmental Intelligence. The suggestion is to use Business intelligence to improve the overall resources usage (by reducing energy and paper usage) of the organizations without compromising on customer services. For example if the customers are serviced on first contact, the follow on activities involving multiple contacts with customers and marketing paper material could be reduced. This will provide the organizations with better customer satisfaction and also reduce the extra energy usage in developing heavy duty BI infrastructure and paper used for the marketing purpose to woo back the customers.


2005 ◽  
pp. 121-132
Author(s):  
Tamás Pálvölgyi ◽  
János Szlávik ◽  
Miklós Füle ◽  
Noémi Nagypál

Author(s):  
Wei Shan ◽  
Jingyi Wang

This research aims to explore the interaction between environmental performance and employment China’s manufacturing industries. Based on the environmental performance of 32 industries in China’s manufacturing industry during 2006–2015, a panel vector autoregressive model was constructed to study the interaction between industry output and employment in clean industries and dirty industries. The dynamic impact and internal transmission mechanism between environmental performance is analyzed. The study found that in the early stage, due to the reduction of production scale, there was a weak and short-term negative correlation effect on employment, and the mutual promotion relationship between economic benefits and employment was unsustainable. In return, employment affects environmental performance, but the effect differs due to the different forms of environmental performance. For dirty industries, the impact of environmental performance on employment through technical effects is more significant and, thus, a win–win situation of ecological environment and employment stability will be achieved. This research has practical significance regarding how to scientifically and effectively carry out environmental regulation and green management.


2020 ◽  
Vol 12 (17) ◽  
pp. 7209 ◽  
Author(s):  
Hyunwoo Choi ◽  
Ingoo Han ◽  
Jaywon Lee

This paper examines the value relevance of corporate environmental performance (CEP) using individual environmental performance indicators and multidimensional constructs derived from Trumpp et al. (2015). Accounting information can be described as ‘value-relevant’ when the information in financial statements has the ability to explain firm value. In recent years, stakeholders such as governments, public institutions, firms, customers, and local communities have recognized the importance of corporate environmental performance. Thus, one of the main research questions is whether corporate environmental performance is value relevant. The empirical results in this paper indicate that only a few individual environmental performance indicator variables are value relevant, while most environmental performance constructs have a significant impact on firm value. Our findings suggest that firm value significantly increases with improved environmental management or operational performance. In addition, environmental performance indicators and environmental performance constructs have a significant impact on firms in environmentally sensitive industries, confirming the notion of higher value relevance of environmental information for firms in these industries. This study contributes to prior literature by carrying out a comprehensive analysis on the multidimensional nature of corporate environmental performance and its impact on value relevance. This paper also reconciles extant literature on the construct validity of environmental performance indicators and environmental performance constructs by formulating standardized composite measures of CEP following Larker et al. (2007).


2013 ◽  
Vol 807-809 ◽  
pp. 1052-1058
Author(s):  
Zhe Wang ◽  
Yu Li ◽  
Ze Hong Li ◽  
Liang Yuan ◽  
Ji Zheng

Climate change caused by increasing carbon emission is harmful to global environment and human society. Developing low-carbon economy through reasonable industries planning and effective utilization of resources is a significant path to achieve the aim of energy saving and carbon emission reduction. The word carbon footprint means carbon emission caused by a certain industry, activity, product or individual, and the issue of carbon emission should be linked with economic activity to analyze, while input-output model is a reliable method to contact two factors. Based on input-output model, this paper calculated direct or indirect carbon emission which is demanded for the products of final consumption in Beijing, and analyzed carbon footprint of each industrial sector in 2005, 2007 and 2010 by operating Leontief matrix. The result demonstrates annual carbon emission of Beijing increased from 10482.68×104ton to 17407.28×104ton during 2000-2011. Manufacturing industry, excavating industry, transportation and postal industry exert supreme impact on carbon emission in Beijing. Carbon footprint of transportation and postal industry and other tertiary industries such as information, business, service, education, science researching industries in 2010 had an obvious rise compare with the data of 2005 and 2007.


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