The Experts below are selected from a list of 92667 Experts worldwide ranked by ideXlab platform

Stephan Vachon - One of the best experts on this subject based on the ideXlab platform.

  • collaboration and evaluation in the supply chain the impact on plant level Environmental Investment
    Production and Operations Management, 2009
    Co-Authors: Robert D Klassen, Stephan Vachon
    Abstract:

    Manufacturing organizations can potentially improve Environmental management both by increasing the level of Investment in Environmental technologies and by shifting that Investment away from pollution control and toward pollution prevention. However, managers must not only consider their own manufacturing operations in isolation, but also those of others along the supply chain. This paper explores two dimensions of supply chain activities—collaboration and evaluation—that might be leveraged by plant managers to improve Environmental management in their own plant. The linkages with suppliers and customers were assessed. Both customer- and plant-initiated collaboration were found to have a significant effect on the level and form of Investment in Environmental technologies for a sample of Canadian plants. Of greatest importance, as customer-initiated collaborative activities increased, plant-level Investment in Environmental management was increasingly allocated toward pollution prevention. In contrast, only very limited evidence was found that evaluative activities influenced Environmental Investment.

  • COLLABORATION AND EVALUATION IN THE SUPPLY CHAIN: THE IMPACT ON PLANT‐LEVEL Environmental Investment
    Production and Operations Management, 2009
    Co-Authors: Robert D Klassen, Stephan Vachon
    Abstract:

    Manufacturing organizations can potentially improve Environmental management both by increasing the level of Investment in Environmental technologies and by shifting that Investment away from pollution control and toward pollution prevention. However, managers must not only consider their own manufacturing operations in isolation, but also those of others along the supply chain. This paper explores two dimensions of supply chain activities—collaboration and evaluation—that might be leveraged by plant managers to improve Environmental management in their own plant. The linkages with suppliers and customers were assessed. Both customer- and plant-initiated collaboration were found to have a significant effect on the level and form of Investment in Environmental technologies for a sample of Canadian plants. Of greatest importance, as customer-initiated collaborative activities increased, plant-level Investment in Environmental management was increasingly allocated toward pollution prevention. In contrast, only very limited evidence was found that evaluative activities influenced Environmental Investment.

  • green supply chain practices and the selection of Environmental technologies
    International Journal of Production Research, 2007
    Co-Authors: Stephan Vachon
    Abstract:

    The pressure on manufacturing organizations to adopt benign processes and to develop greener products has increased significantly over the last decade. As such, several manufacturing organizations have turned to their suppliers and customers to find innovative solutions to Environmental issues. Using the data from a survey of the Canadian and United States package printing industry, the linkage between green supply chain practices and the selection of Environmental technologies is examined. This paper differs from other studies that have linked supply chain management to Environmental technologies as it focuses specifically on green interactions between organizations in the supply chain. In particular, the paper explores the possible relation between Environmental collaboration and Environmental monitoring in the supply chain and the form of Environmental Investment characterized by three categories: pollution prevention, pollution control, and management systems. The results suggest that Environmental co...

Guang Gao - One of the best experts on this subject based on the ideXlab platform.

  • improving water quality in china Environmental Investment pays dividends
    Water Research, 2017
    Co-Authors: Yongqiang Zhou, Yunlin Zhang, Boqiang Qin, Erik Jeppesen, Kun Shi, Justin D. Brookes, Robert G. M. Spencer, Guangwei Zhu, Guang Gao
    Abstract:

    This study highlights how Chinese economic development detrimentally impacted water quality in recent decades and how this has been improved by enormous Investment in Environmental remediation funded by the Chinese government. To our knowledge, this study is the first to describe the variability of surface water quality in inland waters in China, the affecting drivers behind the changes, and how the government-financed conservation actions have impacted water quality. Water quality was found to be poorest in the North and the Northeast China Plain where there is greater coverage of developed land (cities + cropland), a higher gross domestic product (GDP), and higher population density. There are significant positive relationships between the concentration of the annual mean chemical oxygen demand (COD) and the percentage of developed land use (cities + cropland), GDP, and population density in the individual watersheds (p < 0.001). During the past decade, following Chinese government-financed Investments in Environmental restoration and reforestation, the water quality of Chinese inland waters has improved markedly, which is particularly evident from the significant and exponentially decreasing GDP-normalized COD and ammonium (NH4+-N) concentrations. It is evident that the increasing GDP in China over the past decade did not occur at the continued expense of its inland water ecosystems. This offers hope for the future, also for other industrializing countries, that with appropriate Environmental Investments a high GDP can be reached and maintained, while simultaneously preserving inland aquatic ecosystems, particularly through management of sewage discharge.

  • Improving water quality in China: Environmental Investment pays dividends.
    Water research, 2017
    Co-Authors: Yongqiang Zhou, Yunlin Zhang, Boqiang Qin, Erik Jeppesen, Kun Shi, Justin D. Brookes, Robert G. M. Spencer, Guangwei Zhu, Guang Gao
    Abstract:

    This study highlights how Chinese economic development detrimentally impacted water quality in recent decades and how this has been improved by enormous Investment in Environmental remediation funded by the Chinese government. To our knowledge, this study is the first to describe the variability of surface water quality in inland waters in China, the affecting drivers behind the changes, and how the government-financed conservation actions have impacted water quality. Water quality was found to be poorest in the North and the Northeast China Plain where there is greater coverage of developed land (cities + cropland), a higher gross domestic product (GDP), and higher population density. There are significant positive relationships between the concentration of the annual mean chemical oxygen demand (COD) and the percentage of developed land use (cities + cropland), GDP, and population density in the individual watersheds (p 

Yongqiang Zhou - One of the best experts on this subject based on the ideXlab platform.

  • improving water quality in china Environmental Investment pays dividends
    Water Research, 2017
    Co-Authors: Yongqiang Zhou, Yunlin Zhang, Boqiang Qin, Erik Jeppesen, Kun Shi, Justin D. Brookes, Robert G. M. Spencer, Guangwei Zhu, Guang Gao
    Abstract:

    This study highlights how Chinese economic development detrimentally impacted water quality in recent decades and how this has been improved by enormous Investment in Environmental remediation funded by the Chinese government. To our knowledge, this study is the first to describe the variability of surface water quality in inland waters in China, the affecting drivers behind the changes, and how the government-financed conservation actions have impacted water quality. Water quality was found to be poorest in the North and the Northeast China Plain where there is greater coverage of developed land (cities + cropland), a higher gross domestic product (GDP), and higher population density. There are significant positive relationships between the concentration of the annual mean chemical oxygen demand (COD) and the percentage of developed land use (cities + cropland), GDP, and population density in the individual watersheds (p < 0.001). During the past decade, following Chinese government-financed Investments in Environmental restoration and reforestation, the water quality of Chinese inland waters has improved markedly, which is particularly evident from the significant and exponentially decreasing GDP-normalized COD and ammonium (NH4+-N) concentrations. It is evident that the increasing GDP in China over the past decade did not occur at the continued expense of its inland water ecosystems. This offers hope for the future, also for other industrializing countries, that with appropriate Environmental Investments a high GDP can be reached and maintained, while simultaneously preserving inland aquatic ecosystems, particularly through management of sewage discharge.

  • Improving water quality in China: Environmental Investment pays dividends.
    Water research, 2017
    Co-Authors: Yongqiang Zhou, Yunlin Zhang, Boqiang Qin, Erik Jeppesen, Kun Shi, Justin D. Brookes, Robert G. M. Spencer, Guangwei Zhu, Guang Gao
    Abstract:

    This study highlights how Chinese economic development detrimentally impacted water quality in recent decades and how this has been improved by enormous Investment in Environmental remediation funded by the Chinese government. To our knowledge, this study is the first to describe the variability of surface water quality in inland waters in China, the affecting drivers behind the changes, and how the government-financed conservation actions have impacted water quality. Water quality was found to be poorest in the North and the Northeast China Plain where there is greater coverage of developed land (cities + cropland), a higher gross domestic product (GDP), and higher population density. There are significant positive relationships between the concentration of the annual mean chemical oxygen demand (COD) and the percentage of developed land use (cities + cropland), GDP, and population density in the individual watersheds (p 

Ying-ming Wang - One of the best experts on this subject based on the ideXlab platform.

  • Extended belief rule-based model for Environmental Investment prediction with indicator ensemble selection
    International Journal of Approximate Reasoning, 2020
    Co-Authors: Suhui Wang, Long-hao Yang, P Nicholl, Ying-ming Wang
    Abstract:

    Abstract Environmental Investment prediction is an effective solution to reduce the wasteful Investments of Environmental management. Since Environmental management involves diverse Environmental indicators, Investment prediction modeling usually causes the curse of dimensionality and uses irrelevant indicators. A common solution to solve these problems is the use of indicator selection methods to select representative indicators. However, different indicator selection methods have their relative strengths and weaknesses, resulting in different selected indicators and information loss of real representative indicators. Hence, in the present work, a new Environmental Investment prediction model is proposed on the basis of extended belief rule-based (EBRB) model along with the indicator ensemble selection (IES) and is called IES-EBRB model. The EBRB model is a white-box designed decision-making model and has the specialty on using prior knowledge to enhance data analytics for autonomous decision making; and the IES is an extension of ensemble learning to cooperatively integrate different kinds of indicator selection methods for selecting representative indicators. In a case study, the real world environment data from 2005 to 2018 of 31 provinces in China are applied to verify the effectiveness and accuracy of the IES-EBRB model. Results show that the IES-EBRB model not only can obtain desired Environmental Investments, but also produces satisfactory accuracy compared to some existing Investment prediction models.

  • Environmental Investment prediction using extended belief rule-based system and evidential reasoning rule
    Journal of Cleaner Production, 1
    Co-Authors: Long-hao Yang, Suhui Wang, Jun Liu, Ying-ming Wang
    Abstract:

    Abstract A scientific Environmental Investment prediction plays a crucial role in controlling Environmental pollution and avoiding the blind Investment of Environmental management. However effective Environmental Investment prediction usually has to fact three challenges about diversiform indicators, insufficient data, and the reliability of prediction models. In the present study, a new prediction model is proposed using the extended belief rule-based system (EBRBS) and evidential reasoning (ER) rule, called ensemble EBRBS model, with the aim to overcome the above challenges for better Environmental Investment prediction. The proposed ensemble EBRBS model consists of two components: 1) multiple EBRBSs, which are constructed on the basis of not only using various feature selection methods to select representative indicators but also data increment transformation to enrich the training data; 2) an ER rule-based combination method, which utilizes the ER rule to accommodate the weights and reliabilities of different EBRBSs with the predicted outputs of these EBRBSs to have an integrated Environmental Investment prediction. A detailed case study is then provided for validating the proposed model via extensive experimental and comparison analysis based on the real-world Environmental data about 25 Environmental indicators for 31 provinces in China ranged from 2005 to 2018. The results demonstrate that the ensemble EBRBS model can be used as an effective model to accurately predict Environmental Investments. More importantly, the ensemble EBRBS model not only obtains a high accuracy better than some existing prediction models, but also has an excellent robustness compared with others under the situations of excessive indicators and insufficient data.

Yunlin Zhang - One of the best experts on this subject based on the ideXlab platform.

  • improving water quality in china Environmental Investment pays dividends
    Water Research, 2017
    Co-Authors: Yongqiang Zhou, Yunlin Zhang, Boqiang Qin, Erik Jeppesen, Kun Shi, Justin D. Brookes, Robert G. M. Spencer, Guangwei Zhu, Guang Gao
    Abstract:

    This study highlights how Chinese economic development detrimentally impacted water quality in recent decades and how this has been improved by enormous Investment in Environmental remediation funded by the Chinese government. To our knowledge, this study is the first to describe the variability of surface water quality in inland waters in China, the affecting drivers behind the changes, and how the government-financed conservation actions have impacted water quality. Water quality was found to be poorest in the North and the Northeast China Plain where there is greater coverage of developed land (cities + cropland), a higher gross domestic product (GDP), and higher population density. There are significant positive relationships between the concentration of the annual mean chemical oxygen demand (COD) and the percentage of developed land use (cities + cropland), GDP, and population density in the individual watersheds (p < 0.001). During the past decade, following Chinese government-financed Investments in Environmental restoration and reforestation, the water quality of Chinese inland waters has improved markedly, which is particularly evident from the significant and exponentially decreasing GDP-normalized COD and ammonium (NH4+-N) concentrations. It is evident that the increasing GDP in China over the past decade did not occur at the continued expense of its inland water ecosystems. This offers hope for the future, also for other industrializing countries, that with appropriate Environmental Investments a high GDP can be reached and maintained, while simultaneously preserving inland aquatic ecosystems, particularly through management of sewage discharge.

  • Improving water quality in China: Environmental Investment pays dividends.
    Water research, 2017
    Co-Authors: Yongqiang Zhou, Yunlin Zhang, Boqiang Qin, Erik Jeppesen, Kun Shi, Justin D. Brookes, Robert G. M. Spencer, Guangwei Zhu, Guang Gao
    Abstract:

    This study highlights how Chinese economic development detrimentally impacted water quality in recent decades and how this has been improved by enormous Investment in Environmental remediation funded by the Chinese government. To our knowledge, this study is the first to describe the variability of surface water quality in inland waters in China, the affecting drivers behind the changes, and how the government-financed conservation actions have impacted water quality. Water quality was found to be poorest in the North and the Northeast China Plain where there is greater coverage of developed land (cities + cropland), a higher gross domestic product (GDP), and higher population density. There are significant positive relationships between the concentration of the annual mean chemical oxygen demand (COD) and the percentage of developed land use (cities + cropland), GDP, and population density in the individual watersheds (p