IDEAS home Printed from https://ideas.repec.org/f/pzh396.html
   My authors  Follow this author

Linda Zhang

Personal Details

First Name:Linda
Middle Name:
Last Name:Zhang
Suffix:
RePEc Short-ID:pzh396
http://www.ieseg.fr/enseignants-et-recherche/corps-professoral/professeurs-permanents/?cv_id=245

Affiliation

(50%) IESEG School of Management
Université Catholique de Lille

Lille, France
http://www.ieseg.fr/

+33/320545892
+33/320574855
3, rue de la Digue, FR-59000 Lille
RePEc:edi:iesegfr (more details at EDIRC)

(50%) Lille Économie et Management (LEM)

France
http://lem.univ-lille.fr/

00-33-(0)3-20-41-73-69

Université Lille, Domaine universitaire du "Pont de bois", BP 60149, Villeneuve d'Ascq Cedex
RePEc:edi:laborfr (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Yongjun Li & Lin Lin & Qianzhi Dai & Linda Zhang, 2020. "Allocating common costs of multinational companies based on arm's length principle and Nash non-cooperative game," Post-Print hal-02508948, HAL.
  2. Zhen Hong & C.K.M. Lee & Linda Zhang, 2018. "Procurement risk management under uncertainty: a review," Post-Print hal-01914779, HAL.
  3. Zhaofu Hong & Chengbin Chu & Linda Zhang & Yugang Yu, 2017. "Optimizing an emission trading scheme for local governments: A Stackelberg game model and hybrid algorithm," Post-Print hal-01745365, HAL.
  4. Linda Zhang & Carman Lee & Shuzhu Zhang, 2016. "An integrated model for strategic supply chain design: Formulation and ABC-based solution approach," Post-Print hal-01744868, HAL.
  5. Ning Jiang & Linda L. Zhang & Yugang Yu, 2015. "Optimizing Cooperative Advertizing, Profit Sharing, and Inventory Policies in a VMI Supply Chain: A Nash Bargaining Model and Hybrid Algorithm," Post-Print hal-01563010, HAL.
  6. Linda L. Zhang, 2015. "A literature review on multitype platforming and framework for future research," Post-Print hal-01526026, HAL.
  7. Jingjing Hao & Yugang Yu & Linda L. Zhang, 2015. "Optimal design of a 3D compact storage system with the I/O port at the lower mid-point of the storage rack," Post-Print hal-01563011, HAL.
  8. L. Zhang & Q. Xu & P. Helo, 2013. "A knowledge-based system for process family planning," Post-Print hal-00846438, HAL.
  9. Y. Yu & Z. Hong & L. Zhang & L. Liang & C. Chu, 2013. "Optimal selection of retailers for a manufacturing vendor in a vendor managed inventory system," Post-Print hal-00846452, HAL.
  10. L. Zhang & J. Jiao, 2013. "A graph rewriting system for process platform planning," Post-Print hal-00846449, HAL.
  11. D. Wu & L. Zhang & J. Jiao & R. Lu, 2013. "SysML-based design chain information modeling for variety management in production reconfiguration," Post-Print hal-00846436, HAL.
  12. L. Zhang & B. Rodrigues, 2013. "A petri net model of process platform-based production configuration," Post-Print hal-00846422, HAL.
  13. A. Alblas & L. Zhang & H. Wortmann, 2012. "Representing function-technology platform based on the unified modeling language," Post-Print hal-00798932, HAL.
  14. L. Zhang & Q. Xu & P. Helo, 2012. "A methodology integrating Petri nets and knowledge-based systems to support process family planning," Post-Print hal-00798926, HAL.
  15. L. Zhang, 2012. "Identifying mapping relationships between functions and technologies with association rule mining," Post-Print hal-00798934, HAL.
  16. L. Zhang, 2011. "Planning process families with progres," Post-Print hal-00821678, HAL.
  17. L. Zhang, 2011. "Process platforms and production configuration for mass customization : basics, concepts and methods," Post-Print hal-00821677, HAL.
  18. C.K.M. Lee & H. Hu & D. Lin & L. Zhang, 2011. "Determining the Throughput of a CONWIP System Using Adjusted ARM," Post-Print hal-00798940, HAL.
  19. L. Zhang & C.K.M. Lee & Q. Xu, 2010. "Towards product customization: An integrated order fulfillment system," Post-Print hal-00798983, HAL.
  20. L. Zhang & J. Jiao & Q. Ma, 2010. "Accountability-based order fulfillment process reengineering towards supply chain management: A case study at a semiconductor equipment manufacturer," Post-Print hal-00798963, HAL.
  21. T.P. van Houten & L. Zhang, 2010. "Managing assets in the infrastructure sector," Post-Print hal-00798952, HAL.
  22. L. Zhang & B. Rodrigues, 2010. "Nested colored timed Petri nets for production configuration of product families," Post-Print hal-00798992, HAL.
  23. L. Zhang & X. You & J. Jiao & P. Helo, 2009. "Supply chain configuration with coordinated product, process and logistics decision: An approach based on Petri nets," Post-Print hal-00798997, HAL.
  24. L. Zhang & J. Jiao, 2009. "Modeling production configuration based on nested colored object-oriented Petri nets with changeable structures," Post-Print hal-00799009, HAL.
  25. L. Zhang & B. Rodrigues, 2009. "A tree unification approach to constructing generic processes," Post-Print hal-00799012, HAL.
  26. L. Zhang, 2009. "Modeling process platforms based on an object-oriented visual diagrammatic modeling language," Post-Print hal-00799014, HAL.
  27. Q. Xu & X. You & L. Zhang & J. Jiao, 2009. "Modeling workflows and collaboration in virtual supply chains with nested modular Petri nets," Post-Print hal-00799005, HAL.
  28. L. Zhang & B. Rodrigues, 2009. "Modeling reconfigurable manufacturing systems with colored timed Petri nets," Post-Print hal-00799023, HAL.
  29. J. Jiao & L. Zhang & Y. Zhang & S. Pokharel, 2008. "Association rule mining for product and process variety mapping," Post-Print hal-00799025, HAL.
  30. J. Jiao & L. Zhang, 2008. "Data mining applications of process Platform formation for high variety production," Post-Print hal-00821680, HAL.

Articles

  1. Rakesh D. Raut & Bhaskar B. Gardas & Balkrishna Eknath Narkhede & Linda L. Zhang, 2020. "Supplier selection and performance evaluation for formulating supplier selection strategy by MCDM-based approach," International Journal of Business Excellence, Inderscience Enterprises Ltd, vol. 20(4), pages 500-520.
  2. Jingjing Hao & Yugang Yu & Linda L. Zhang, 2015. "Optimal design of a 3D compact storage system with the I/O port at the lower mid-point of the storage rack," International Journal of Production Research, Taylor & Francis Journals, vol. 53(17), pages 5153-5173, September.
  3. Zhou, P. & Zhang, L. & Zhou, D.Q. & Xia, W.J., 2013. "Modeling economic performance of interprovincial CO2 emission reduction quota trading in China," Applied Energy, Elsevier, vol. 112(C), pages 1518-1528.
  4. Linda Zhang & Brian Rodrigues, 2009. "A tree unification approach to constructing generic processes," IISE Transactions, Taylor & Francis Journals, vol. 41(10), pages 916-929.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Zhaofu Hong & Chengbin Chu & Linda Zhang & Yugang Yu, 2017. "Optimizing an emission trading scheme for local governments: A Stackelberg game model and hybrid algorithm," Post-Print hal-01745365, HAL.

    Cited by:

    1. Shaofu Du & Jun Qian & Tianzhuo Liu & Li Hu, 2020. "Emission allowance allocation mechanism design: a low-carbon operations perspective," Annals of Operations Research, Springer, vol. 291(1), pages 247-280, August.
    2. Hafezi, Maryam & Zolfagharinia, Hossein, 2018. "Green product development and environmental performance: Investigating the role of government regulations," International Journal of Production Economics, Elsevier, vol. 204(C), pages 395-410.
    3. Dongmin Son & Joonrak Kim & Bongju Jeong, 2019. "Optimal Operational Strategy for Power Producers in Korea Considering Renewable Portfolio Standards and Emissions Trading Schemes," Energies, MDPI, Open Access Journal, vol. 12(9), pages 1-24, May.

  2. Ning Jiang & Linda L. Zhang & Yugang Yu, 2015. "Optimizing Cooperative Advertizing, Profit Sharing, and Inventory Policies in a VMI Supply Chain: A Nash Bargaining Model and Hybrid Algorithm," Post-Print hal-01563010, HAL.

    Cited by:

    1. Fei Ye & Lixu Li & Zhiqiang Wang & Yina Li, 2018. "An Asymmetric Nash Bargaining Model for Carbon Emission Quota Allocation among Industries: Evidence from Guangdong Province, China," Sustainability, MDPI, Open Access Journal, vol. 10(11), pages 1-18, November.

  3. Linda L. Zhang, 2015. "A literature review on multitype platforming and framework for future research," Post-Print hal-01526026, HAL.

    Cited by:

    1. Siri Jagstedt & Magnus Persson, 2019. "Using Platform Strategies In The Development Of Integrated Product-Service Solutions," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 23(04), pages 1-36, May.
    2. Qiuhua Zhang & Weiping Peng & Jin Lei & Junhao Dou & Xiangyang Hu & Rui Jiang, 2019. "A method for product platform planning based on pruning analysis and attribute matching," Journal of Intelligent Manufacturing, Springer, vol. 30(3), pages 1069-1083, March.

  4. Jingjing Hao & Yugang Yu & Linda L. Zhang, 2015. "Optimal design of a 3D compact storage system with the I/O port at the lower mid-point of the storage rack," Post-Print hal-01563011, HAL.

    Cited by:

    1. Zou, B. & de Koster, M.B.M. & Xu, X., 2016. "Evaluating dedicated and shared storage policies in robot-based compact storage and retrieval systems," ERIM Report Series Research in Management ERS-2016-010-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    2. Bipan Zou & René De Koster & Xianhao Xu, 2018. "Operating Policies in Robotic Compact Storage and Retrieval Systems," Transportation Science, INFORMS, vol. 52(4), pages 788-811, August.
    3. Azadeh, K. & de Koster, M.B.M. & Roy, D., 2017. "Robotized Warehouse Systems: Developments and Research Opportunities," ERIM Report Series Research in Management ERS-2017-009-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    4. Kaveh Azadeh & René De Koster & Debjit Roy, 2019. "Robotized and Automated Warehouse Systems: Review and Recent Developments," Transportation Science, INFORMS, vol. 53(4), pages 917-945, July.

  5. L. Zhang & Q. Xu & P. Helo, 2013. "A knowledge-based system for process family planning," Post-Print hal-00846438, HAL.

    Cited by:

    1. Abbas, Mohamed & ElMaraghy, Hoda, 2018. "Co-platforming of products and assembly systems," Omega, Elsevier, vol. 78(C), pages 5-20.
    2. Scalice, Régis Kovacs & da Silva, José Oliveira & Ostetto, Jaqueline Nazario & de Paula, Gabriele Aguiar, 2015. "Modular deployment using TRM and function analysis," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 1-11.

  6. Y. Yu & Z. Hong & L. Zhang & L. Liang & C. Chu, 2013. "Optimal selection of retailers for a manufacturing vendor in a vendor managed inventory system," Post-Print hal-00846452, HAL.

    Cited by:

    1. Guo, Xiaolong & Dong, Yufeng & Ling, Liuyi, 2016. "Customer perspective on overbooking: The failure of customers to enjoy their reserved services, accidental or intended?," Journal of Air Transport Management, Elsevier, vol. 53(C), pages 65-72.
    2. Bai, Qingguo & Gong, Yeming (Yale) & Jin, Mingzhou & Xu, Xianhao, 2019. "Effects of carbon emission reduction on supply chain coordination with vendor-managed deteriorating product inventory," International Journal of Production Economics, Elsevier, vol. 208(C), pages 83-99.
    3. Govindan, Kannan, 2015. "The optimal replenishment policy for time-varying stochastic demand under vendor managed inventory," European Journal of Operational Research, Elsevier, vol. 242(2), pages 402-423.
    4. Tsao, Yu-Chung & Lu, Jye-Chyi & An, Na & Al-Khayyal, Faiz & Lu, Richard W. & Han, Guanghua, 2014. "Retailer shelf-space management with trade allowance: A Stackelberg game between retailer and manufacturers," International Journal of Production Economics, Elsevier, vol. 148(C), pages 133-144.
    5. Sadeghi, Javad & Mousavi, Seyed Mohsen & Niaki, Seyed Taghi Akhavan & Sadeghi, Saeid, 2014. "Optimizing a bi-objective inventory model of a three-echelon supply chain using a tuned hybrid bat algorithm," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 274-292.
    6. Tian, Xiaoyu & Zhang, Zhi-Hai, 2019. "Capacitated disassembly scheduling and pricing of returned products with price-dependent yield," Omega, Elsevier, vol. 84(C), pages 160-174.
    7. Williams, Brent D. & Waller, Matthew A. & Ahire, Sanjay & Ferrier, Gary D., 2014. "Predicting retailer orders with POS and order data: The inventory balance effect," European Journal of Operational Research, Elsevier, vol. 232(3), pages 593-600.
    8. Poormoaied, Saeed & Atan, Zümbül, 2020. "A multi-attribute utility theory approach to ordering policy for perishable items," International Journal of Production Economics, Elsevier, vol. 225(C).
    9. Lin, Feng & Jia, Tao & Wu, Feng & Yang, Zhen, 2019. "Impacts of two-stage deterioration on an integrated inventory model under trade credit and variable capacity utilization," European Journal of Operational Research, Elsevier, vol. 272(1), pages 219-234.

  7. L. Zhang & J. Jiao, 2013. "A graph rewriting system for process platform planning," Post-Print hal-00846449, HAL.

    Cited by:

    1. Zhang, Linda L., 2015. "A literature review on multitype platforming and framework for future research," International Journal of Production Economics, Elsevier, vol. 168(C), pages 1-12.
    2. Scalice, Régis Kovacs & da Silva, José Oliveira & Ostetto, Jaqueline Nazario & de Paula, Gabriele Aguiar, 2015. "Modular deployment using TRM and function analysis," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 1-11.

  8. D. Wu & L. Zhang & J. Jiao & R. Lu, 2013. "SysML-based design chain information modeling for variety management in production reconfiguration," Post-Print hal-00846436, HAL.

    Cited by:

    1. Alexander Brodsky & Guodong Shao & Frank Riddick, 2016. "Process analytics formalism for decision guidance in sustainable manufacturing," Journal of Intelligent Manufacturing, Springer, vol. 27(3), pages 561-580, June.
    2. Lin Wang & Shi-Sheng Zhong & Yong-Jian Zhang, 2017. "Process configuration based on generative constraint satisfaction problem," Journal of Intelligent Manufacturing, Springer, vol. 28(4), pages 945-957, April.
    3. Amro M. Farid, 2017. "Measures of reconfigurability and its key characteristics in intelligent manufacturing systems," Journal of Intelligent Manufacturing, Springer, vol. 28(2), pages 353-369, February.
    4. Liang Hou & Roger J. Jiao, 2020. "Data-informed inverse design by product usage information: a review, framework and outlook," Journal of Intelligent Manufacturing, Springer, vol. 31(3), pages 529-552, March.

  9. L. Zhang & B. Rodrigues, 2013. "A petri net model of process platform-based production configuration," Post-Print hal-00846422, HAL.

    Cited by:

    1. Zhang, Linda L., 2015. "A literature review on multitype platforming and framework for future research," International Journal of Production Economics, Elsevier, vol. 168(C), pages 1-12.

  10. A. Alblas & L. Zhang & H. Wortmann, 2012. "Representing function-technology platform based on the unified modeling language," Post-Print hal-00798932, HAL.

    Cited by:

    1. Zhang, Linda L., 2015. "A literature review on multitype platforming and framework for future research," International Journal of Production Economics, Elsevier, vol. 168(C), pages 1-12.
    2. Clément Chatras & Vincent Giard & Mustapha Sali, 2016. "Mass customisation impact on bill of materials structure and master production schedule development," International Journal of Production Research, Taylor & Francis Journals, vol. 54(18), pages 5634-5650, September.

  11. L. Zhang, 2012. "Identifying mapping relationships between functions and technologies with association rule mining," Post-Print hal-00798934, HAL.

    Cited by:

    1. Zhang, Linda L., 2015. "A literature review on multitype platforming and framework for future research," International Journal of Production Economics, Elsevier, vol. 168(C), pages 1-12.

  12. L. Zhang & C.K.M. Lee & Q. Xu, 2010. "Towards product customization: An integrated order fulfillment system," Post-Print hal-00798983, HAL.

    Cited by:

    1. Saghiri, Soroosh & Wilding, Richard & Mena, Carlos & Bourlakis, Michael, 2017. "Toward a three-dimensional framework for omni-channel," Journal of Business Research, Elsevier, vol. 77(C), pages 53-67.
    2. Trentin, Alessio & Perin, Elisa & Forza, Cipriano, 2012. "Product configurator impact on product quality," International Journal of Production Economics, Elsevier, vol. 135(2), pages 850-859.

  13. L. Zhang & J. Jiao & Q. Ma, 2010. "Accountability-based order fulfillment process reengineering towards supply chain management: A case study at a semiconductor equipment manufacturer," Post-Print hal-00798963, HAL.

    Cited by:

    1. Mohammad Heydari & Kin Keung Lai & Xiaohu Zhou, 2020. "Creating Sustainable Order Fulfillment Processes through Managing the Risk: Evidence from the Disposable Products Industry," Sustainability, MDPI, Open Access Journal, vol. 12(7), pages 1-32, April.

  14. L. Zhang & B. Rodrigues, 2010. "Nested colored timed Petri nets for production configuration of product families," Post-Print hal-00798992, HAL.

    Cited by:

    1. Lin Wang & Shi-Sheng Zhong & Yong-Jian Zhang, 2017. "Process configuration based on generative constraint satisfaction problem," Journal of Intelligent Manufacturing, Springer, vol. 28(4), pages 945-957, April.
    2. Zhang, Linda L., 2015. "A literature review on multitype platforming and framework for future research," International Journal of Production Economics, Elsevier, vol. 168(C), pages 1-12.

  15. L. Zhang & X. You & J. Jiao & P. Helo, 2009. "Supply chain configuration with coordinated product, process and logistics decision: An approach based on Petri nets," Post-Print hal-00798997, HAL.

    Cited by:

    1. Nagesh Shukla & Senevi Kiridena, 2016. "A fuzzy rough sets-based multi-agent analytics framework for dynamic supply chain configuration," International Journal of Production Research, Taylor & Francis Journals, vol. 54(23), pages 6984-6996, December.
    2. Maina G. & H.M.Bwisa, 2014. "Factors that Affect the Quality of Inputs in Manufacturing Organisations: A Case Study of Nampak Kenya Limited," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 4(10), pages 288-313, October.
    3. Linda Zhang & Carman Lee & Shuzhu Zhang, 2016. "An integrated model for strategic supply chain design: Formulation and ABC-based solution approach," Post-Print hal-01744868, HAL.

  16. L. Zhang & J. Jiao, 2009. "Modeling production configuration based on nested colored object-oriented Petri nets with changeable structures," Post-Print hal-00799009, HAL.

    Cited by:

    1. Yanhua Du & Ze Yu & Benyuan Yang & Yang Wang, 2019. "Modeling and simulation of time and value throughputs of data-aware workflow processes," Journal of Intelligent Manufacturing, Springer, vol. 30(6), pages 2355-2373, August.

  17. L. Zhang & B. Rodrigues, 2009. "A tree unification approach to constructing generic processes," Post-Print hal-00799012, HAL.

    Cited by:

    1. Montejano García, Salomón & Campos García, Rocio Montserrat & García Ramírez, Ricardo, 2017. "Ventajas competitivas en empresas manufactureras, resultado de los sistemas de producción y la innovación," Small Business International Review, Asociación Española de Contabilidad y Administración de Empresas - AECA, vol. 1(1), pages 53-70, July.
    2. Zhang, Linda L., 2015. "A literature review on multitype platforming and framework for future research," International Journal of Production Economics, Elsevier, vol. 168(C), pages 1-12.

  18. L. Zhang, 2009. "Modeling process platforms based on an object-oriented visual diagrammatic modeling language," Post-Print hal-00799014, HAL.

    Cited by:

    1. Zhang, Linda L., 2015. "A literature review on multitype platforming and framework for future research," International Journal of Production Economics, Elsevier, vol. 168(C), pages 1-12.

  19. J. Jiao & L. Zhang & Y. Zhang & S. Pokharel, 2008. "Association rule mining for product and process variety mapping," Post-Print hal-00799025, HAL.

    Cited by:

    1. Mohamed Kashkoush & Hoda ElMaraghy, 2017. "An integer programming model for discovering associations between manufacturing system capabilities and product features," Journal of Intelligent Manufacturing, Springer, vol. 28(4), pages 1031-1044, April.

Articles

  1. Jingjing Hao & Yugang Yu & Linda L. Zhang, 2015. "Optimal design of a 3D compact storage system with the I/O port at the lower mid-point of the storage rack," International Journal of Production Research, Taylor & Francis Journals, vol. 53(17), pages 5153-5173, September. See citations under working paper version above.
  2. Zhou, P. & Zhang, L. & Zhou, D.Q. & Xia, W.J., 2013. "Modeling economic performance of interprovincial CO2 emission reduction quota trading in China," Applied Energy, Elsevier, vol. 112(C), pages 1518-1528.

    Cited by:

    1. Chang, Kai & Pei, Ping & Zhang, Chao & Wu, Xin, 2017. "Exploring the price dynamics of CO2 emissions allowances in China's emissions trading scheme pilots," Energy Economics, Elsevier, vol. 67(C), pages 213-223.
    2. Zhang, Xiao-Bing & Xu, Jing, 2018. "Optimal policies for climate change: A joint consideration of CO2 and methane," Applied Energy, Elsevier, vol. 211(C), pages 1021-1029.
    3. Hongbo Duan, Lei Zhu, Gürkan Kumbaroglu, and Ying Fan, 2016. "Regional Opportunities for China To Go Low-Carbon: Results from the REEC Model," The Energy Journal, International Association for Energy Economics, vol. 0(China Spe).
    4. Zhou, P. & Wang, M., 2016. "Carbon dioxide emissions allocation: A review," Ecological Economics, Elsevier, vol. 125(C), pages 47-59.
    5. Laura Rodríguez-Fernández & Ana Belén Fernández Carvajal & María Bujidos-Casado, 2020. "Allocation of Greenhouse Gas Emissions Using the Fairness Principle: A Multi-Country Analysis," Sustainability, MDPI, Open Access Journal, vol. 12(14), pages 1-15, July.
    6. Tang, Ling & Shi, Jiarui & Bao, Qin, 2016. "Designing an emissions trading scheme for China with a dynamic computable general equilibrium model," Energy Policy, Elsevier, vol. 97(C), pages 507-520.
    7. Zhang, Xu & Qi, Tian-yu & Ou, Xun-min & Zhang, Xi-liang, 2017. "The role of multi-region integrated emissions trading scheme: A computable general equilibrium analysis," Applied Energy, Elsevier, vol. 185(P2), pages 1860-1868.
    8. Wang, M. & Zhou, P., 2017. "Does emission permit allocation affect CO2 cost pass-through? A theoretical analysis," Energy Economics, Elsevier, vol. 66(C), pages 140-146.
    9. Zhang, Yue-Jun & Liang, Ting & Jin, Yan-Lin & Shen, Bo, 2020. "The impact of carbon trading on economic output and carbon emissions reduction in China’s industrial sectors," Applied Energy, Elsevier, vol. 260(C).
    10. Zhao, Xin-gang & Jiang, Gui-wu & Nie, Dan & Chen, Hao, 2016. "How to improve the market efficiency of carbon trading: A perspective of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1229-1245.
    11. Feng, Chenpeng & Chu, Feng & Ding, Jingjing & Bi, Gongbing & Liang, Liang, 2015. "Carbon Emissions Abatement (CEA) allocation and compensation schemes based on DEA," Omega, Elsevier, vol. 53(C), pages 78-89.
    12. Chen, Zhenling & Yuan, Xiao-Chen & Zhang, Xiaoling & Cao, Yunfei, 2020. "How will the Chinese national carbon emissions trading scheme work? The assessment of regional potential gains," Energy Policy, Elsevier, vol. 137(C).
    13. Yifei Zhang & Sheng Li & Fang Zhang, 2020. "Does an Emissions Trading Policy Improve Environmental Efficiency? Evidence from China," Sustainability, MDPI, Open Access Journal, vol. 12(6), pages 1-16, March.
    14. Jiang, M. & Liang, X. & Reiner, D. & Lin, B., 2018. "Stakeholder Views on Interactions between Low-carbon Policies and Carbon Markets in China: Lessons from the Guangdong ETS," Cambridge Working Papers in Economics 1811, Faculty of Economics, University of Cambridge.
    15. Zhang, Weijie & Zhang, Ning & Yu, Yanni, 2019. "Carbon mitigation effects and potential cost savings from carbon emissions trading in China's regional industry," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 1-11.
    16. Chang, Kai & Chang, Hao, 2016. "Cutting CO2 intensity targets of interprovincial emissions trading in China," Applied Energy, Elsevier, vol. 163(C), pages 211-221.
    17. Wen-Hsien Tsai & Shi-Yin Jhong, 2018. "Carbon Emissions Cost Analysis with Activity-Based Costing," Sustainability, MDPI, Open Access Journal, vol. 10(8), pages 1-26, August.
    18. Feng Dong & Ruyin Long & Zhengfu Bian & Xihui Xu & Bolin Yu & Ying Wang, 2017. "Applying a Ruggiero three-stage super-efficiency DEA model to gauge regional carbon emission efficiency: evidence from China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(3), pages 1453-1468, July.
    19. Dai, Sheng & Zhou, Xun & Kuosmanen, Timo, 2020. "Forward-looking assessment of the GHG abatement cost: Application to China," Energy Economics, Elsevier, vol. 88(C).
    20. Fan, Ying & Wu, Jie & Xia, Yan & Liu, Jing-Yu, 2016. "How will a nationwide carbon market affect regional economies and efficiency of CO2 emission reduction in China?," China Economic Review, Elsevier, vol. 38(C), pages 151-166.
    21. Jiang, Jingjing & Ye, Bin & Xie, Dejun & Li, Ji & Miao, Lixin & Yang, Peng, 2017. "Sector decomposition of China’s national economic carbon emissions and its policy implication for national ETS development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 855-867.
    22. Wang, Ge & Zhang, Qi & Li, Yan & Mclellan, Benjamin C., 2019. "Efficient and equitable allocation of renewable portfolio standards targets among China's provinces," Energy Policy, Elsevier, vol. 125(C), pages 170-180.
    23. Qinliang Tan & Yihong Ding & Yimei Zhang, 2017. "Optimization Model of an Efficient Collaborative Power Dispatching System for Carbon Emissions Trading in China," Energies, MDPI, Open Access Journal, vol. 10(9), pages 1-19, September.
    24. Karplus, Valerie J. & Rausch, Sebastian & Zhang, Da, 2016. "Energy caps: Alternative climate policy instruments for China?," Energy Economics, Elsevier, vol. 56(C), pages 422-431.
    25. Pang, Rui-zhi & Deng, Zhong-qi & Chiu, Yung-ho, 2015. "Pareto improvement through a reallocation of carbon emission quotas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 419-430.
    26. Xian, Yujiao & Wang, Ke & Wei, Yi-Ming & Huang, Zhimin, 2019. "Would China’s power industry benefit from nationwide carbon emission permit trading? An optimization model-based ex post analysis on abatement cost savings," Applied Energy, Elsevier, vol. 235(C), pages 978-986.
    27. Wei, Yi-Ming & Wang, Lu & Liao, Hua & Wang, Ke & Murty, Tad & Yan, Jinyue, 2014. "Responsibility accounting in carbon allocation: A global perspective," Applied Energy, Elsevier, vol. 130(C), pages 122-133.
    28. Xi Jin & Bin Zou & Chan Wang & Kaifeng Rao & Xiaowen Tang, 2019. "Carbon Emission Allocation in a Chinese Province-Level Region Based on Two-Stage Network Structures," Sustainability, MDPI, Open Access Journal, vol. 11(5), pages 1-24, March.
    29. Jun Yang & Xin Feng & Yufei Tang & Jun Yan & Haibo He & Chao Luo, 2015. "A Power System Optimal Dispatch Strategy Considering the Flow of Carbon Emissions and Large Consumers," Energies, MDPI, Open Access Journal, vol. 8(9), pages 1-20, August.
    30. Zhou, X. & Fan, L.W. & Zhou, P., 2015. "Marginal CO2 abatement costs: Findings from alternative shadow price estimates for Shanghai industrial sectors," Energy Policy, Elsevier, vol. 77(C), pages 109-117.
    31. Ke Wang & Yi-Ming Wei & Zhimin Huang, 2015. "Potential gains from carbon emissions trading in China: A DEA based estimation on abatement cost savings," CEEP-BIT Working Papers 84, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    32. Li, Guangyao & Yang, Jin & Chen, Dingjiang & Hu, Shanying, 2017. "Impacts of the coming emission trading scheme on China’s coal-to-materials industry in 2020," Applied Energy, Elsevier, vol. 195(C), pages 837-849.
    33. Kejia Yang & Yalin Lei & Weiming Chen & Lingna Liu, 2018. "Carbon dioxide emission reduction quota allocation study on Chinese provinces based on two-stage Shapley information entropy model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 91(1), pages 321-335, March.
    34. Ji, Xiang & Li, Guo & Wang, Zhaohua, 2017. "Impact of emission regulation policies on Chinese power firms’ reusable environmental investments and sustainable operations," Energy Policy, Elsevier, vol. 108(C), pages 163-177.
    35. Chen, Guangwu & Wiedmann, Thomas & Wang, Yafei & Hadjikakou, Michalis, 2016. "Transnational city carbon footprint networks – Exploring carbon links between Australian and Chinese cities," Applied Energy, Elsevier, vol. 184(C), pages 1082-1092.
    36. Zhou, P. & Sun, Z.R. & Zhou, D.Q., 2014. "Optimal path for controlling CO2 emissions in China: A perspective of efficiency analysis," Energy Economics, Elsevier, vol. 45(C), pages 99-110.
    37. Dai, Hancheng & Xie, Yang & Liu, Jingyu & Masui, Toshihiko, 2018. "Aligning renewable energy targets with carbon emissions trading to achieve China's INDCs: A general equilibrium assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 4121-4131.
    38. Wang, Ke & Zhang, Xian & Yu, Xueying & Wei, Yi-Ming & Wang, Bin, 2016. "Emissions trading and abatement cost savings: An estimation of China's thermal power industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 1005-1017.
    39. Du, Limin & Hanley, Aoife & Wei, Chu, 2015. "Estimating the marginal abatement cost curve of CO2 emissions in China: Provincial panel data analysis," Kiel Working Papers 1985, Kiel Institute for the World Economy (IfW).
    40. Lin, Boqiang & Jia, Zhijie, 2020. "Is emission trading scheme an opportunity for renewable energy in China? A perspective of ETS revenue redistributions," Applied Energy, Elsevier, vol. 263(C).
    41. Zhang, Wei & Li, Jing & Li, Guoxiang & Guo, Shucen, 2020. "Emission reduction effect and carbon market efficiency of carbon emissions trading policy in China," Energy, Elsevier, vol. 196(C).
    42. Zhao, Xueting & Wesley Burnett, J. & Lacombe, Donald J., 2015. "Province-level convergence of China’s carbon dioxide emissions," Applied Energy, Elsevier, vol. 150(C), pages 286-295.
    43. Zhang, Ning & Choi, Yongrok, 2013. "Total-factor carbon emission performance of fossil fuel power plants in China: A metafrontier non-radial Malmquist index analysis," Energy Economics, Elsevier, vol. 40(C), pages 549-559.
    44. Mu, Yaqian & Evans, Samuel & Wang, Can & Cai, Wenjia, 2018. "How will sectoral coverage affect the efficiency of an emissions trading system? A CGE-based case study of China," Applied Energy, Elsevier, vol. 227(C), pages 403-414.
    45. Ahmed, Khalid, 2017. "Revisiting the role of financial development for energy-growth-trade nexus in BRICS economies," Energy, Elsevier, vol. 128(C), pages 487-495.
    46. Bingxin Zeng & Jun Xie & Xiaobing Zhang & Yang Yu & Lei Zhu, 2020. "The impacts of emission trading scheme on China’s thermal power industry: A pre-evaluation from the micro level," Energy & Environment, , vol. 31(6), pages 1007-1030, September.
    47. Min Yang & Qingxian An & Tao Ding & Pengzhen Yin & Liang Liang, 2019. "Carbon emission allocation in China based on gradually efficiency improvement and emission reduction planning principle," Annals of Operations Research, Springer, vol. 278(1), pages 123-139, July.
    48. Minxing Jiang & Bangzhu Zhu & Julien Chevallier & Rui Xie, 2018. "Allocating provincial CO2 quotas for the Chinese national carbon program," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(3), pages 457-479, July.
    49. Lu, Shibao & Wang, Jianhua & Shang, Yizi & Bao, Haijun & Chen, Huixiong, 2017. "Potential assessment of optimizing energy structure in the city of carbon intensity target," Applied Energy, Elsevier, vol. 194(C), pages 765-773.
    50. Huang, Hai & Roland-Holst, David & Springer, Cecilia & Lin, Jiang & Cai, Wenjia & Wang, Can, 2019. "Emissions trading systems and social equity: A CGE assessment for China," Applied Energy, Elsevier, vol. 235(C), pages 1254-1265.
    51. Chen, Jiandong & Cheng, Shulei & Song, Malin & Wu, Yinyin, 2016. "A carbon emissions reduction index: Integrating the volume and allocation of regional emissions," Applied Energy, Elsevier, vol. 184(C), pages 1154-1164.
    52. Qunli Wu & Hongjie Zhang, 2019. "Research on Optimization Allocation Scheme of Initial Carbon Emission Quota from the Perspective of Welfare Effect," Energies, MDPI, Open Access Journal, vol. 12(11), pages 1-27, June.
    53. Chuyu Xia & Yan Li & Yanmei Ye & Zhou Shi & Jingming Liu, 2017. "Decomposed Driving Factors of Carbon Emissions and Scenario Analyses of Low-Carbon Transformation in 2020 and 2030 for Zhejiang Province," Energies, MDPI, Open Access Journal, vol. 10(11), pages 1-16, October.
    54. Ji, Xiang & Li, Guo & Wang, Zhaohua, 2017. "Allocation of emission permits for China’s power plants: A systemic Pareto optimal method," Applied Energy, Elsevier, vol. 204(C), pages 607-619.
    55. Tan, Qinliang & Ding, Yihong & Ye, Qi & Mei, Shufan & Zhang, Yimei & Wei, Yongmei, 2019. "Optimization and evaluation of a dispatch model for an integrated wind-photovoltaic-thermal power system based on dynamic carbon emissions trading," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    56. Wu, Jianxin & Ma, Chunbo & Tang, Kai, 2019. "The static and dynamic heterogeneity and determinants of marginal abatement cost of CO2 emissions in Chinese cities," Energy, Elsevier, vol. 178(C), pages 685-694.
    57. Cui, Lian-Biao & Fan, Ying & Zhu, Lei & Bi, Qing-Hua, 2014. "How will the emissions trading scheme save cost for achieving China’s 2020 carbon intensity reduction target?," Applied Energy, Elsevier, vol. 136(C), pages 1043-1052.
    58. Pan, Xunzhang & Teng, Fei & Ha, Yuejiao & Wang, Gehua, 2014. "Equitable Access to Sustainable Development: Based on the comparative study of carbon emission rights allocation schemes," Applied Energy, Elsevier, vol. 130(C), pages 632-640.
    59. Shixiong Cheng & Wei Liu & Kai Lu, 2018. "Economic Growth Effect and Optimal Carbon Emissions under China’s Carbon Emissions Reduction Policy: A Time Substitution DEA Approach," Sustainability, MDPI, Open Access Journal, vol. 10(5), pages 1-23, May.
    60. Zhang, Yue-Jun & Wang, Ao-Dong & Da, Ya-Bin, 2014. "Regional allocation of carbon emission quotas in China: Evidence from the Shapley value method," Energy Policy, Elsevier, vol. 74(C), pages 454-464.
    61. Lin, Boqiang & Du, Kerui, 2015. "Energy and CO2 emissions performance in China's regional economies: Do market-oriented reforms matter?," Energy Policy, Elsevier, vol. 78(C), pages 113-124.
    62. Wu, Rui & Dai, Hancheng & Geng, Yong & Xie, Yang & Masui, Toshihiko & Tian, Xu, 2016. "Achieving China’s INDC through carbon cap-and-trade: Insights from Shanghai," Applied Energy, Elsevier, vol. 184(C), pages 1114-1122.
    63. Zheng, Bo & Zhang, Qiang & Borken-Kleefeld, Jens & Huo, Hong & Guan, Dabo & Klimont, Zbigniew & Peters, Glen P. & He, Kebin, 2015. "How will greenhouse gas emissions from motor vehicles be constrained in China around 2030?," Applied Energy, Elsevier, vol. 156(C), pages 230-240.
    64. Song, Xiangnan & Lu, Yujie & Shen, Liyin & Shi, Xunpeng, 2018. "Will China's building sector participate in emission trading system? Insights from modelling an owner's optimal carbon reduction strategies," Energy Policy, Elsevier, vol. 118(C), pages 232-244.
    65. Xu, Zhongwen & Yao, Liming & Liu, Qiaoling & Long, Yin, 2019. "Policy implications for achieving the carbon emission reduction target by 2030 in Japan-Analysis based on a bilevel equilibrium model," Energy Policy, Elsevier, vol. 134(C).
    66. Li, Wei & Jia, Zhijie, 2016. "The impact of emission trading scheme and the ratio of free quota: A dynamic recursive CGE model in China," Applied Energy, Elsevier, vol. 174(C), pages 1-14.
    67. Qian Wang & Cuiyun Gao & Shuanping Dai, 2019. "Effect of the Emissions Trading Scheme on CO 2 Abatement in China," Sustainability, MDPI, Open Access Journal, vol. 11(4), pages 1-13, February.
    68. Xia, Yan & Tang, Zhipeng, 2017. "The impacts of emissions accounting methods on an imperfect competitive carbon trading market," Energy, Elsevier, vol. 119(C), pages 67-76.
    69. Park, Taeil & Kim, Changyoon & Kim, Hyoungkwan, 2014. "A real option-based model to valuate CDM projects under uncertain energy policies for emission trading," Applied Energy, Elsevier, vol. 131(C), pages 288-296.
    70. Chang, Kai & Zhang, Chao & Chang, Hao, 2016. "Emissions reduction allocation and economic welfare estimation through interregional emissions trading in China: Evidence from efficiency and equity," Energy, Elsevier, vol. 113(C), pages 1125-1135.
    71. Xiong, Ling & Shen, Bo & Qi, Shaozhou & Price, Lynn & Ye, Bin, 2017. "The allowance mechanism of China’s carbon trading pilots: A comparative analysis with schemes in EU and California," Applied Energy, Elsevier, vol. 185(P2), pages 1849-1859.
    72. Khaqqi, Khamila Nurul & Sikorski, Janusz J. & Hadinoto, Kunn & Kraft, Markus, 2018. "Incorporating seller/buyer reputation-based system in blockchain-enabled emission trading application," Applied Energy, Elsevier, vol. 209(C), pages 8-19.
    73. Tang, Ling & Wu, Jiaqian & Yu, Lean & Bao, Qin, 2015. "Carbon emissions trading scheme exploration in China: A multi-agent-based model," Energy Policy, Elsevier, vol. 81(C), pages 152-169.
    74. Xuecheng Wang & Xu Tang & Baosheng Zhang & Benjamin C. McLellan & Yang Lv, 2018. "Provincial Carbon Emissions Reduction Allocation Plan in China Based on Consumption Perspective," Sustainability, MDPI, Open Access Journal, vol. 10(5), pages 1-23, April.
    75. Yi-Hua Wu & Hancheng Dai & Yang Xie & Toshihiko Masui, 2019. "The efforts of Taiwan to achieve NDC target: an integrated assessment on the carbon emission trading system," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1295-1310, December.
    76. Yujiao Xian & Ke Wang & Yi-Ming Wei & Zhimin Huang, 2018. "Would China¡¯s power industry benefit from nationwide carbon emission permit trading? An optimization model-based ex post analysis on abatement cost savings," CEEP-BIT Working Papers 121, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    77. Wu, Jie & Zhu, Qingyuan & Liang, Liang, 2016. "CO2 emissions and energy intensity reduction allocation over provincial industrial sectors in China," Applied Energy, Elsevier, vol. 166(C), pages 282-291.
    78. Jiang, Jingjing & Xie, Dejun & Ye, Bin & Shen, Bo & Chen, Zhanming, 2016. "Research on China’s cap-and-trade carbon emission trading scheme: Overview and outlook," Applied Energy, Elsevier, vol. 178(C), pages 902-917.
    79. Yang, Lin & Li, Fengyu & Zhang, Xian, 2016. "Chinese companies’ awareness and perceptions of the Emissions Trading Scheme (ETS): Evidence from a national survey in China," Energy Policy, Elsevier, vol. 98(C), pages 254-265.
    80. Jie Wu, Ying Fan, Yan Xia, 2016. "The Economic Effects of Initial Quota Allocations on Carbon Emissions Trading in China," The Energy Journal, International Association for Energy Economics, vol. 0(China Spe).
    81. Wei Jiang & Jia Liu & Xiang Liu, 2016. "Impact of Carbon Quota Allocation Mechanism on Emissions Trading: An Agent-Based Simulation," Sustainability, MDPI, Open Access Journal, vol. 8(8), pages 1-13, August.
    82. Zhou, Kaile & Yang, Shanlin, 2016. "Emission reduction of China׳s steel industry: Progress and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 319-327.
    83. Tengda Lu & Xieer Dai & Jun Chen & Ming Dai, 2018. "Pricing Industrial Discharge Quota (IDQ): A Model Reflecting Opportunity Cost of Performing Ecological Responsibility," Sustainability, MDPI, Open Access Journal, vol. 10(6), pages 1-20, June.

  3. Linda Zhang & Brian Rodrigues, 2009. "A tree unification approach to constructing generic processes," IISE Transactions, Taylor & Francis Journals, vol. 41(10), pages 916-929.
    See citations under working paper version above.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Linda Zhang should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.