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John Liu

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. J. Liu & C.J.M. Kool, 2017. "Money and Credit Overhang in the Euro Area," Working Papers 17-02, Utrecht School of Economics.

    Cited by:

    1. ALBULESCU, Claudiu Tiberiu & Pepin, Dominique, 2018. "Monetary Integration, Money-Demand Stability, and the Role of Monetary Overhang in Forecasting Inflation in CEE Countries," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 33(4), pages 841-879.
    2. Ivo J. M. Arnold, 2022. "Monetary overhang in times of covid: evidence from the euro area," Applied Economics, Taylor & Francis Journals, vol. 54(35), pages 4030-4042, July.
    3. Sommarat Chantarat & Atchana Lamsam & Krislert Samphantharak & Bhumjai Tangsawasdirat, 2020. "Household Debt and Delinquency over the Life Cycle," Asian Development Review, MIT Press, vol. 37(1), pages 61-92, March.
    4. Maciej Ryczkowski, 2021. "Money and inflation in inflation-targeting regimes – new evidence from time–frequency analysis," Journal of Applied Economics, Taylor & Francis Journals, vol. 24(1), pages 17-44, January.
    5. Maciej Ryczkowski, 2020. "Money and credit during normal times and house price booms: evidence from time-frequency analysis," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 47(4), pages 835-861, November.

  2. John Liu, 2016. "Bitcoin Literature: A Co-word Analysis," Proceedings of Economics and Finance Conferences 4206769, International Institute of Social and Economic Sciences.

    Cited by:

    1. Aurelio F. Bariviera & Ignasi Merediz‐Solà, 2021. "Where Do We Stand In Cryptocurrencies Economic Research? A Survey Based On Hybrid Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 377-407, April.
    2. Merediz-Solà, Ignasi & Bariviera, Aurelio F., 2019. "A bibliometric analysis of bitcoin scientific production," Research in International Business and Finance, Elsevier, vol. 50(C), pages 294-305.
    3. Ahmet Faruk Aysan & Hüseyin Bedir Demirtaş & Mustafa Saraç, 2021. "The Ascent of Bitcoin: Bibliometric Analysis of Bitcoin Research," JRFM, MDPI, vol. 14(9), pages 1-15, September.
    4. ORĂȘTEAN Ramona & MĂRGINEAN Silvia Cristina & SAVA Raluca, 2019. "Bitcoin In The Scientific Literature – A Bibliometric Study," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 14(3), pages 160-174, December.
    5. Lennart Ante, 2020. "A place next to Satoshi: foundations of blockchain and cryptocurrency research in business and economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1305-1333, August.

  3. Yao, S. & Liu, J., 1995. "Uneven Development of Non-Farm Entreprises and Regional Income Inequality in Rural China," Papers 50, Portsmouth University - Department of Economics.

    Cited by:

    1. Shujie Yao, 1997. "Industrialization and spatial income inequality in rural China, 1986‐921," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 5(1), pages 97-112, May.
    2. Shujie Yao, 1997. "Decomposition of Gini coefficients by income factors: a new approach and application," Applied Economics Letters, Taylor & Francis Journals, vol. 4(1), pages 27-31.
    3. Mario Biggeri & Danilo Gambelli & Christine Phillips, 1999. "Small and medium enterprise theory: evidence for Chinese TVEs," Journal of International Development, John Wiley & Sons, Ltd., vol. 11(2), pages 197-219.
    4. Shujie Yao & Jirui Liu, 1996. "Decomposition of Gini coefficients by class: a new approach," Applied Economics Letters, Taylor & Francis Journals, vol. 3(2), pages 115-119.
    5. Jr-Tsung Huang & Chun-Chien Kuo & An-Pang Kao, 2003. "The Inequality of Regional Economic Development in China between 1991 and 2001," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 1(3), pages 273-285.

Articles

  1. Nie, S. & Huang, Z.C. & Huang, G.H. & Yu, L. & Liu, J., 2018. "Optimization of electric power systems with cost minimization and environmental-impact mitigation under multiple uncertainties," Applied Energy, Elsevier, vol. 221(C), pages 249-267.

    Cited by:

    1. Ahsan, Syed M. & Khan, Hassan A. & Hassan, Naveed-ul & Arif, Syed M. & Lie, Tek-Tjing, 2020. "Optimized power dispatch for solar photovoltaic-storage system with multiple buildings in bilateral contracts," Applied Energy, Elsevier, vol. 273(C).
    2. Lv, J. & Li, Y.P. & Shan, B.G. & Jin, S.W. & Suo, C., 2018. "Planning energy-water nexus system under multiple uncertainties – A case study of Hebei province," Applied Energy, Elsevier, vol. 229(C), pages 389-403.
    3. Lei, Yang & Wang, Dan & Jia, Hongjie & Li, Jiaxi & Chen, Jingcheng & Li, Jingru & Yang, Zhihong, 2021. "Multi-stage stochastic planning of regional integrated energy system based on scenario tree path optimization under long-term multiple uncertainties," Applied Energy, Elsevier, vol. 300(C).
    4. Quiroga, Daniela & Sauma, Enzo & Pozo, David, 2019. "Power system expansion planning under global and local emission mitigation policies," Applied Energy, Elsevier, vol. 239(C), pages 1250-1264.
    5. Pizarro-Alonso, Amalia & Ravn, Hans & Münster, Marie, 2019. "Uncertainties towards a fossil-free system with high integration of wind energy in long-term planning," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    6. Jåstad, Eirik Ogner & Trotter, Ian M. & Bolkesjø, Torjus Folsland, 2022. "Long term power prices and renewable energy market values in Norway – A probabilistic approach," Energy Economics, Elsevier, vol. 112(C).
    7. Zheng, Lingwei & Zhou, Xingqiu & Qiu, Qi & Yang, Lan, 2020. "Day-ahead optimal dispatch of an integrated energy system considering time-frequency characteristics of renewable energy source output," Energy, Elsevier, vol. 209(C).
    8. Njomza Ibrahimi & Alemayehu Gebremedhin & Alketa Sahiti, 2019. "Achieving a Flexible and Sustainable Energy System: The Case of Kosovo," Energies, MDPI, vol. 12(24), pages 1-22, December.
    9. Àlex Alonso-Travesset & Helena Martín & Sergio Coronas & Jordi de la Hoz, 2022. "Optimization Models under Uncertainty in Distributed Generation Systems: A Review," Energies, MDPI, vol. 15(5), pages 1-40, March.
    10. Wei, Yongmei & Ye, Qi & Ding, Yihong & Ai, Bingjun & Tan, Qinliang & Song, Wenda, 2021. "Optimization model of a thermal-solar-wind power planning considering economic and social benefits," Energy, Elsevier, vol. 222(C).
    11. Miguel-Angel Perea-Moreno & Francisco Manzano-Agugliaro & Quetzalcoatl Hernandez-Escobedo & Alberto-Jesus Perea-Moreno, 2018. "Peanut Shell for Energy: Properties and Its Potential to Respect the Environment," Sustainability, MDPI, vol. 10(9), pages 1-15, September.
    12. Jiaojiao Sun & Feng Dong, 2023. "Optimal reduction and equilibrium carbon allowance price for the thermal power industry under China’s peak carbon emissions target," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-27, December.
    13. Kumar, Pankaj & Banerjee, Rangan & Mishra, Trupti, 2020. "A framework for analyzing trade-offs in cost and emissions in power sector," Energy, Elsevier, vol. 195(C).
    14. Radhanon Diewvilai & Kulyos Audomvongseree, 2021. "Generation Expansion Planning with Energy Storage Systems Considering Renewable Energy Generation Profiles and Full-Year Hourly Power Balance Constraints," Energies, MDPI, vol. 14(18), pages 1-25, September.
    15. Zeb, Aurang & Ahmad, Waseem & Asif, Muhammad & Simic, Vladimir & Senapati, Tapan & Hou, Muzhou, 2024. "Optimizing decision-making in electric power system selection: A generalized approach based on Hamacher aggregation operators for q-rung orthopair fuzzy soft sets," Applied Energy, Elsevier, vol. 367(C).
    16. Lv, J. & Li, Y.P. & Huang, G.H. & Suo, C. & Mei, H. & Li, Y., 2020. "Quantifying the impact of water availability on China's energy system under uncertainties: A perceptive of energy-water nexus," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    17. Shu, Kangan & Ai, Xiaomeng & Fang, Jiakun & Yao, Wei & Chen, Zhe & He, Haibo & Wen, Jinyu, 2019. "Real-time subsidy based robust scheduling of the integrated power and gas system," Applied Energy, Elsevier, vol. 236(C), pages 1158-1167.

  2. Campana, P.E. & Leduc, S. & Kim, M. & Olsson, A. & Zhang, J. & Liu, J. & Kraxner, F. & McCallum, I. & Li, H. & Yan, J., 2017. "Suitable and optimal locations for implementing photovoltaic water pumping systems for grassland irrigation in China," Applied Energy, Elsevier, vol. 185(P2), pages 1879-1889.

    Cited by:

    1. Elkadeem, M.R. & Younes, Ali & Sharshir, Swellam W. & Campana, Pietro Elia & Wang, Shaorong, 2021. "Sustainable siting and design optimization of hybrid renewable energy system: A geospatial multi-criteria analysis," Applied Energy, Elsevier, vol. 295(C).
    2. Amaducci, Stefano & Yin, Xinyou & Colauzzi, Michele, 2018. "Agrivoltaic systems to optimise land use for electric energy production," Applied Energy, Elsevier, vol. 220(C), pages 545-561.
    3. Shao, Weiwei & Liu, Jiahong & Zhu, Mingming & Weng, Baisha & Wang, Ning & Huang, Hao & Yu, Yingdong & Yan, Dianyi & Jiang, Shan, 2018. "Evaluation of a photovoltaic water-supply scheme for the surface water system in Xiamen, China," Applied Energy, Elsevier, vol. 230(C), pages 357-373.
    4. Jian Chen & Yiping Liu & Lingjun Wang, 2019. "Research on Coupling Coordination Development for Photovoltaic Agriculture System in China," Sustainability, MDPI, vol. 11(4), pages 1-20, February.
    5. Yueshu Yang & Daxiang Liu & Hai Xiao & Jiangang Chen & Yu Ding & Dong Xia & Zhenyao Xia & Wennian Xu, 2019. "Evaluating the Effect of the Ecological Restoration of Quarry Slopes in Caidian District, Wuhan City," Sustainability, MDPI, vol. 11(23), pages 1-16, November.
    6. Magdalena Fallde & Johan Torén & Elisabeth Wetterlund, 2017. "Energy System Models as a Means of Visualising Barriers and Drivers of Forest-Based Biofuels: An Interview Study of Developers and Potential Users," Sustainability, MDPI, vol. 9(10), pages 1-19, October.
    7. Boutelhig, Azzedine & Hanini, Salah & Arab, Amar Hadj, 2018. "Geospatial characteristics investigation of suitable areas for photovoltaic water pumping erections, in the southern region of Ghardaia, Algeria," Energy, Elsevier, vol. 165(PA), pages 235-245.
    8. Allouhi, A. & Buker, M.S. & El-houari, H. & Boharb, A. & Benzakour Amine, M. & Kousksou, T. & Jamil, A., 2019. "PV water pumping systems for domestic uses in remote areas: Sizing process, simulation and economic evaluation," Renewable Energy, Elsevier, vol. 132(C), pages 798-812.

  3. Nie, S. & Li, Y.P. & Liu, J. & Huang, Charley Z., 2017. "Risk management of energy system for identifying optimal power mix with financial-cost minimization and environmental-impact mitigation under uncertainty," Energy Economics, Elsevier, vol. 61(C), pages 313-329.

    Cited by:

    1. Paulino Martinez-Fernandez & Fernando deLlano-Paz & Anxo Calvo-Silvosa & Isabel Soares, 2019. "Assessing Renewable Energy Sources for Electricity (RES-E) Potential Using a CAPM-Analogous Multi-Stage Model," Energies, MDPI, vol. 12(19), pages 1-20, September.
    2. Nie, S. & Huang, Z.C. & Huang, G.H. & Yu, L. & Liu, J., 2018. "Optimization of electric power systems with cost minimization and environmental-impact mitigation under multiple uncertainties," Applied Energy, Elsevier, vol. 221(C), pages 249-267.
    3. Koltsaklis, Nikolaos E. & Nazos, Konstantinos, 2017. "A stochastic MILP energy planning model incorporating power market dynamics," Applied Energy, Elsevier, vol. 205(C), pages 1364-1383.
    4. Liu, Yanyan & Huang, Guohe & Chen, Jiapei & Zhang, Xiaoyue & Zheng, Xiaogui & Zhai, Mengyu, 2022. "Development of an optimization-aided small modular reactor siting model – A case study of Saskatchewan, Canada," Applied Energy, Elsevier, vol. 305(C).
    5. Chen, Huadong & Wang, Can & Cai, Wenjia & Wang, Jianhui, 2018. "Simulating the impact of investment preference on low-carbon transition in power sector," Applied Energy, Elsevier, vol. 217(C), pages 440-455.
    6. Jing Liu & Yongping Li & Guohe Huang & Cai Suo & Shuo Yin, 2017. "An Interval Fuzzy-Stochastic Chance-Constrained Programming Based Energy-Water Nexus Model for Planning Electric Power Systems," Energies, MDPI, vol. 10(11), pages 1-23, November.
    7. Yingying Sun & Kexin Bi & Shi Yin, 2020. "Measuring and Integrating Risk Management into Green Innovation Practices for Green Manufacturing under the Global Value Chain," Sustainability, MDPI, vol. 12(2), pages 1-33, January.
    8. Chandra Ade Irawan & Peter S. Hofman & Hing Kai Chan & Antony Paulraj, 2022. "A stochastic programming model for an energy planning problem: formulation, solution method and application," Annals of Operations Research, Springer, vol. 311(2), pages 695-730, April.
    9. Ji, Ling & Zhang, Bei-Bei & Huang, Guo-He & Xie, Yu-Lei & Niu, Dong-Xiao, 2018. "Explicit cost-risk tradeoff for optimal energy management in CCHP microgrid system under fuzzy-risk preferences," Energy Economics, Elsevier, vol. 70(C), pages 525-535.

  4. Hswen, Y. & Brownstein, J.S. & Liu, J. & Hawkins, J.B., 2017. "Use of a digital health application for influenza surveillance in China," American Journal of Public Health, American Public Health Association, vol. 107(7), pages 1130-1136.

    Cited by:

    1. Jingwei Li & Choon-Ling Sia & Zhuo Chen & Wei Huang, 2021. "Enhancing Influenza Epidemics Forecasting Accuracy in China with Both Official and Unofficial Online News Articles, 2019–2020," IJERPH, MDPI, vol. 18(12), pages 1-13, June.

  5. X. T. Zeng & Y. P. Li & G. H. Huang & J. Liu, 2017. "Modeling of Water Resources Allocation and Water Quality Management for Supporting Regional Sustainability under Uncertainty in an Arid Region," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(12), pages 3699-3721, September.

    Cited by:

    1. Mingjing Guo & Ziyu Jiang & Yan Bu & Jinhua Cheng, 2019. "Supporting Sustainable Development of Water Resources: A Social Welfare Maximization Game Model," IJERPH, MDPI, vol. 16(16), pages 1-15, August.
    2. Xia Xu & Jing Yuan & Qianwen Yu & Zehao Sun, 2023. "A Study of Initial Water Rights Allocation Coupled with Physical and Virtual Water Resources," Sustainability, MDPI, vol. 15(17), pages 1-28, August.
    3. Sun, Chengbin & Luo, Chao, 2020. "Co-evolution of limited resources in the memory-based spatial evolutionary game," Chaos, Solitons & Fractals, Elsevier, vol. 131(C).
    4. Mehri Abdi-Dehkordi & Omid Bozorg-Haddad & Xuefeng Chu, 2021. "Development of a Combined Index to Evaluate Sustainability of Water Resources Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(9), pages 2965-2985, July.
    5. Jianwei Wang & Tianling Qin & Xizhi Lv & Yongxin Ni & Qiufen Zhang & Li Ma, 2023. "Study of Optimal and Joint Allocations of Water and land Resources for Multiple Objectives," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(3), pages 1241-1256, February.

  6. Anqiang Huang & Han Qiao & Shouyang Wang & John Liu, 2016. "Improving Forecasting Performance by Exploiting Expert Knowledge: Evidence from Guangzhou Port," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(02), pages 387-401, March.

    Cited by:

    1. Li, Hongtao & Bai, Juncheng & Li, Yongwu, 2019. "A novel secondary decomposition learning paradigm with kernel extreme learning machine for multi-step forecasting of container throughput," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).

  7. Kraxner, F. & Aoki, K. & Kindermann, G. & Leduc, S. & Albrecht, F. & Liu, J. & Yamagata, Y., 2016. "Bioenergy and the city – What can urban forests contribute?," Applied Energy, Elsevier, vol. 165(C), pages 990-1003.

    Cited by:

    1. Daniela Perrotti & Sven Stremke, 2020. "Can urban metabolism models advance green infrastructure planning? Insights from ecosystem services research," Environment and Planning B, , vol. 47(4), pages 678-694, May.
    2. Jianliang Wang & Yuru Yang & Yongmei Bentley & Xu Geng & Xiaojie Liu, 2018. "Sustainability Assessment of Bioenergy from a Global Perspective: A Review," Sustainability, MDPI, vol. 10(8), pages 1-19, August.
    3. Kleemann, Janina & Struve, Berenike & Spyra, Marcin, 2023. "Conflicts in urban peripheries in Europe," Land Use Policy, Elsevier, vol. 133(C).
    4. Antonio Barragán-Escandón & Julio Terrados-Cepeda & Esteban Zalamea-León, 2017. "The Role of Renewable Energy in the Promotion of Circular Urban Metabolism," Sustainability, MDPI, vol. 9(12), pages 1-29, December.
    5. Vukasinovic, Vladimir & Gordic, Dusan & Zivkovic, Marija & Koncalovic, Davor & Zivkovic, Dubravka, 2019. "Long-term planning methodology for improving wood biomass utilization," Energy, Elsevier, vol. 175(C), pages 818-829.
    6. Stefanos Stefanidis & Nikolaos Proutsos & Vasileios Alexandridis & Giorgos Mallinis, 2024. "Ecosystem Services Supply from Peri-Urban Watersheds in Greece: Soil Conservation and Water Retention," Land, MDPI, vol. 13(6), pages 1-18, May.
    7. Santos, Andreia & Carvalho, Ana & Barbosa-Póvoa, Ana Paula & Marques, Alexandra & Amorim, Pedro, 2019. "Assessment and optimization of sustainable forest wood supply chains – A systematic literature review," Forest Policy and Economics, Elsevier, vol. 105(C), pages 112-135.
    8. Ko, Chun-Han & Chaiprapat, Sumate & Kim, Lee-Hyung & Hadi, Pejman & Hsu, Shu-Chien & Leu, Shao-Yuan, 2017. "Carbon sequestration potential via energy harvesting from agricultural biomass residues in Mekong River basin, Southeast Asia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 1051-1062.
    9. A. Silveira, Edgar & Santanna Chaves, Bruno & Macedo, Lucélia & Ghesti, Grace F. & Evaristo, Rafael B.W. & Cruz Lamas, Giulia & Luz, Sandra M. & Protásio, Thiago de Paula & Rousset, Patrick, 2023. "A hybrid optimization approach towards energy recovery from torrefied waste blends," Renewable Energy, Elsevier, vol. 212(C), pages 151-165.
    10. Lin, Boqiang & Ge, Jiamin, 2021. "Does institutional freedom matter for global forest carbon sinks in the face of economic development disparity?," China Economic Review, Elsevier, vol. 65(C).

  8. Niu, G. & Li, Y.P. & Huang, G.H. & Liu, J. & Fan, Y.R., 2016. "Crop planning and water resource allocation for sustainable development of an irrigation region in China under multiple uncertainties," Agricultural Water Management, Elsevier, vol. 166(C), pages 53-69.

    Cited by:

    1. Nie, S. & Li, Y.P. & Liu, J. & Huang, Charley Z., 2017. "Risk management of energy system for identifying optimal power mix with financial-cost minimization and environmental-impact mitigation under uncertainty," Energy Economics, Elsevier, vol. 61(C), pages 313-329.
    2. Yue, Qiong & Zhang, Fan & Zhang, Chenglong & Zhu, Hua & Tang, Yikuan & Guo, Ping, 2020. "A full fuzzy-interval credibility-constrained nonlinear programming approach for irrigation water allocation under uncertainty," Agricultural Water Management, Elsevier, vol. 230(C).
    3. Sun, J. & Li, Y.P. & Suo, C. & Liu, Y.R., 2019. "Impacts of irrigation efficiency on agricultural water-land nexus system management under multiple uncertainties—A case study in Amu Darya River basin, Central Asia," Agricultural Water Management, Elsevier, vol. 216(C), pages 76-88.
    4. Li, Xiaojuan & Kang, Shaozhong & Niu, Jun & Du, Taisheng & Tong, Ling & Li, Sien & Ding, Risheng, 2017. "Applying uncertain programming model to improve regional farming economic benefits and water productivity," Agricultural Water Management, Elsevier, vol. 179(C), pages 352-365.
    5. Liu, Qi & Niu, Jun & Wood, Jeffrey D. & Kang, Shaozhong, 2022. "Spatial optimization of cropping pattern in the upper-middle reaches of the Heihe River basin, Northwest China," Agricultural Water Management, Elsevier, vol. 264(C).
    6. Wenjie Geng & Xiaohui Jiang & Yuxin Lei & Jinyan Zhang & Huan Zhao, 2021. "The Allocation of Water Resources in the Midstream of Heihe River for the “97 Water Diversion Scheme” and the “Three Red Lines”," IJERPH, MDPI, vol. 18(4), pages 1-19, February.
    7. Wenzhe Luo & Yanling Jiang & Yuansheng Chen & Zhigang Yu, 2023. "Coupling Coordination and Spatial-Temporal Evolution of Water-Land-Food Nexus: A Case Study of Hebei Province at a County-Level," Land, MDPI, vol. 12(3), pages 1-22, March.
    8. Aster Tesfaye Hordofa & Olkeba Tolessa Leta & Tena Alamirew & Abebe Demissie Chukalla, 2022. "Response of Winter Wheat Production to Climate Change in Ziway Lake Basin," Sustainability, MDPI, vol. 14(20), pages 1-17, October.
    9. Xiao-Bo Luan & Pu-Te Wu & Shi-Kun Sun & Xiao-Lei Li & Yu-Bao Wang & Xue-Rui Gao, 2018. "Impact of Land Use Change on Hydrologic Processes in a Large Plain Irrigation District," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(9), pages 3203-3217, July.
    10. Min Li & Chao Zhang, 2020. "Two-Stage Stochastic Variational Inequality Arising from Stochastic Programming," Journal of Optimization Theory and Applications, Springer, vol. 186(1), pages 324-343, July.
    11. Niu, Geng & Zheng, Yi & Han, Feng & Qin, Huapeng, 2019. "The nexus of water, ecosystems and agriculture in arid areas: A multiobjective optimization study on system efficiencies," Agricultural Water Management, Elsevier, vol. 223(C), pages 1-1.
    12. Min Chen & Songhao Shang & Wei Li, 2020. "Integrated Modeling Approach for Sustainable Land-Water-Food Nexus Management," Agriculture, MDPI, vol. 10(4), pages 1-19, April.
    13. Mohammad Ebrahim Banihabib & Mahmoud Mohammad Rezapour Tabari & Mohsen Mohammad Rezapour Tabari, 2019. "Development of a Fuzzy Multi-Objective Heuristic Model for Optimum Water Allocation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(11), pages 3673-3689, September.
    14. Zhang, W.J. & Tan, Q. & Zhang, T.Y., 2021. "A risk-averse stochastic quadratic model with recourse for supporting irrigation water management in uncertain and nonlinear environments," Agricultural Water Management, Elsevier, vol. 244(C).
    15. Ali Reza Nafarzadegan & Hassan Vagharfard & Mohammad Reza Nikoo & Ahmad Nohegar, 2018. "Socially-Optimal and Nash Pareto-Based Alternatives for Water Allocation under Uncertainty: an Approach and Application," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(9), pages 2985-3000, July.

  9. J Liu & Y Wang & X Min, 2014. "Single-machine scheduling with common due-window assignment for deteriorating jobs," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 65(2), pages 291-301, February.

    Cited by:

    1. Yurong Zhang & Xi Wang & Li-Han Zhang & Xue Jia & Ji-Bo Wang, 2024. "Different due-window assignment scheduling with deterioration effects," Journal of Combinatorial Optimization, Springer, vol. 48(5), pages 1-21, December.
    2. Yue, Qing & Zhou, Shenghai, 2021. "Due-window assignment scheduling problem with stochastic processing times," European Journal of Operational Research, Elsevier, vol. 290(2), pages 453-468.

  10. Li, Y.P. & Liu, J. & Huang, G.H., 2014. "A hybrid fuzzy-stochastic programming method for water trading within an agricultural system," Agricultural Systems, Elsevier, vol. 123(C), pages 71-83.

    Cited by:

    1. Zhang, Fan & Guo, Shanshan & Liu, Xiao & Wang, Youzhi & Engel, Bernard A. & Guo, Ping, 2020. "Towards sustainable water management in an arid agricultural region: A multi-level multi-objective stochastic approach," Agricultural Systems, Elsevier, vol. 182(C).
    2. Chongfeng Ren & Hongbo Zhang, 2019. "An Inexact Optimization Model for Crop Area Under Multiple Uncertainties," IJERPH, MDPI, vol. 16(14), pages 1-20, July.
    3. Wen-jing Niu & Zhong-kai Feng & Shuai Liu & Yu-bin Chen & Yin-shan Xu & Jun Zhang, 2021. "Multiple Hydropower Reservoirs Operation by Hyperbolic Grey Wolf Optimizer Based on Elitism Selection and Adaptive Mutation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(2), pages 573-591, January.
    4. Najafi Alamdarlo, Hamed & Pourmozafar, Hosein & Vakilpoor, Mohamad Hasan, 2019. "Improving demand technology and internalizing external effects in groundwater market framework, case study: Qazvin plain in Iran," Agricultural Water Management, Elsevier, vol. 213(C), pages 164-173.
    5. Li, Mo & Guo, Ping & Singh, Vijay P., 2016. "An efficient irrigation water allocation model under uncertainty," Agricultural Systems, Elsevier, vol. 144(C), pages 46-57.
    6. Mehri Raei & Javad Hossienzad & Mohammad Ali Ghorbani, 2023. "An Uncertainty-Based Random Boundary Interval Multi-Stage Stochastic Programming for Water Resources Planning," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(12), pages 4571-4587, September.
    7. Zhu, Ying & Yan, Xiaxia & Chen, Cong & Li, Yongping & Huang, Guohe & Li, Yexin, 2019. "Analysis of industry-air quality control in ecologically fragile coal-dependent cities by an uncertain Gaussian diffusion-Hurwicz criterion model," Energy Policy, Elsevier, vol. 132(C), pages 1191-1205.
    8. Niu, Geng & Zheng, Yi & Han, Feng & Qin, Huapeng, 2019. "The nexus of water, ecosystems and agriculture in arid areas: A multiobjective optimization study on system efficiencies," Agricultural Water Management, Elsevier, vol. 223(C), pages 1-1.
    9. Li, Mo & Guo, Ping, 2015. "A coupled random fuzzy two-stage programming model for crop area optimization—A case study of the middle Heihe River basin, China," Agricultural Water Management, Elsevier, vol. 155(C), pages 53-66.
    10. Zhang, J.L. & Li, Y.P. & Wang, C.X. & Huang, G.H., 2015. "An inexact simulation-based stochastic optimization method for identifying effluent trading strategies of agricultural nonpoint sources," Agricultural Water Management, Elsevier, vol. 152(C), pages 72-90.
    11. Ma, Y. & Li, Y.P. & Huang, G.H. & Zhang, Y.F. & Liu, Y.R. & Wang, H. & Ding, Y.K., 2022. "Planning water-food-ecology nexus system under uncertainty: Tradeoffs and synergies in Central Asia," Agricultural Water Management, Elsevier, vol. 266(C).
    12. Li, Mo & Fu, Qiang & Singh, Vijay P. & Liu, Dong & Li, Tianxiao & Zhou, Yan, 2020. "Managing agricultural water and land resources with tradeoff between economic, environmental, and social considerations: A multi-objective non-linear optimization model under uncertainty," Agricultural Systems, Elsevier, vol. 178(C).
    13. Li, Mo & Guo, Ping & Singh, Vijay P. & Yang, Gaiqiang, 2016. "An uncertainty-based framework for agricultural water-land resources allocation and risk evaluation," Agricultural Water Management, Elsevier, vol. 177(C), pages 10-23.
    14. Borodin, Valeria & Bourtembourg, Jean & Hnaien, Faicel & Labadie, Nacima, 2016. "Handling uncertainty in agricultural supply chain management: A state of the art," European Journal of Operational Research, Elsevier, vol. 254(2), pages 348-359.
    15. Jin, S.W. & Li, Y.P. & Nie, S. & Sun, J., 2017. "The potential role of carbon capture and storage technology in sustainable electric-power systems under multiple uncertainties," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 467-480.
    16. S. Dutta & B.C. Sahoo & Rajashree Mishra & S. Acharya, 2016. "Fuzzy Stochastic Genetic Algorithm for Obtaining Optimum Crops Pattern and Water Balance in a Farm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(12), pages 4097-4123, September.

  11. Jiang, C. & Zhang, Z.G. & Zhang, Q.F. & Han, X. & Xie, H.C. & Liu, J., 2014. "A new nonlinear interval programming method for uncertain problems with dependent interval variables," European Journal of Operational Research, Elsevier, vol. 238(1), pages 245-253.

    Cited by:

    1. Zhang, Mei-Jing & Wang, Ying-Ming & Li, Ling-Hui & Chen, Sheng-Qun, 2017. "A general evidential reasoning algorithm for multi-attribute decision analysis under interval uncertainty," European Journal of Operational Research, Elsevier, vol. 257(3), pages 1005-1015.
    2. Dong, Yingchao & Zhang, Hongli & Ma, Ping & Wang, Cong & Zhou, Xiaojun, 2023. "A hybrid robust-interval optimization approach for integrated energy systems planning under uncertainties," Energy, Elsevier, vol. 274(C).

  12. J. Liu & Y. Man & Y. Liu, 2014. "Temporal variability of PM 10 and PM 2.5 inside and outside a residential home during 2014 Chinese Spring Festival in Zhengzhou, 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. 73(3), pages 2149-2154, September.

    Cited by:

    1. Guixian Wu & Wenling Tian & Li Zhang & Haiyan Yang, 2022. "The Chinese Spring Festival Impact on Air Quality in China: A Critical Review," IJERPH, MDPI, vol. 19(15), pages 1-9, July.
    2. Maria Ikram & Zhijun Yan & Yan Liu & Dan Wu, 2016. "Assessing the possible impacts of temperature change on air quality and public health in Beijing, 2008–2012," 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. 84(1), pages 153-165, November.
    3. Dongwei Liu & Jilili Abuduwaili & Lixin Wang, 2015. "Salt dust storm in the Ebinur Lake region: its 50-year dynamic changes and response to climate changes and human activities," 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. 77(2), pages 1069-1080, June.

  13. Lu, Feng-bin & Hong, Yong-miao & Wang, Shou-yang & Lai, Kin-keung & Liu, John, 2014. "Time-varying Granger causality tests for applications in global crude oil markets," Energy Economics, Elsevier, vol. 42(C), pages 289-298.

    Cited by:

    1. Rangan Gupta & Patrick Kanda & Mark E. Wohar, 2021. "Predicting Stock Market Movements in the United States: The Role of Presidential Approval Ratings," International Review of Finance, International Review of Finance Ltd., vol. 21(1), pages 324-335, March.
    2. Smyth, Russell & Narayan, Paresh Kumar, 2015. "Applied econometrics and implications for energy economics research," Energy Economics, Elsevier, vol. 50(C), pages 351-358.
    3. Lyócsa, Štefan & Výrost, Tomáš & Baumöhl, Eduard, 2019. "Return spillovers around the globe: A network approach," Economic Modelling, Elsevier, vol. 77(C), pages 133-146.
    4. Baumöhl, Eduard & Kočenda, Evžen & Lyócsa, Štefan & Výrost, Tomáš, 2018. "Networks of volatility spillovers among stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1555-1574.
    5. Deven Bathia & Riza Demirer & Rangan Gupta & Kevin Kotze, 2020. "Unemployment Fluctuations and Currency Returns in the United Kingdom: Evidence from Over One and a Half Century of Data," Working Papers 202083, University of Pretoria, Department of Economics.
    6. Yoon, Seong-Min, 2022. "On the interdependence between biofuel, fossil fuel and agricultural food prices: Evidence from quantile tests," Renewable Energy, Elsevier, vol. 199(C), pages 536-545.
    7. Mensi, Walid & Brahim, Mariem & Hammoudeh, Shawkat & Tiwari, Aviral Kumar & Kang, Sang Hoon, 2024. "Time-varying causality and correlations between spot and futures prices of natural gas, crude oil, heating oil, and gasoline," Resources Policy, Elsevier, vol. 93(C).
    8. Patrick Kanda & Michael Burke & Rangan Gupta, 2017. "Time-Varying Causality between Equity and Currency Returns in the United Kingdom: Evidence from Over Two Centuries of Data," Working Papers 201778, University of Pretoria, Department of Economics.
    9. Xun Zhang & Fengbin Lu & Rui Tao & Shouyang Wang, 2021. "The time-varying causal relationship between the Bitcoin market and internet attention," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-19, December.
    10. Sun, Yanpeng & Mirza, Nawazish & Qadeer, Abdul & Hsueh, Hsin-Pei, 2021. "Connectedness between oil and agricultural commodity prices during tranquil and volatile period. Is crude oil a victim indeed?," Resources Policy, Elsevier, vol. 72(C).
    11. Zhang, Yue-Jun & Bouri, Elie & Gupta, Rangan & Ma, Shu-Jiao, 2021. "Risk spillover between Bitcoin and conventional financial markets: An expectile-based approach," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    12. Celso-Arellano, Pedro & Gualajara, Victor & Coronado, Semei & Martinez, Jose N. & Venegas-Martínez, Francisco, 2023. "Impact of the global fear index (covid-19 panic) on the S&P global indices associated with natural resources, agribusiness, energy, metals and mining: Granger Causality and Shannon and Rényi Transfer ," MPRA Paper 117138, University Library of Munich, Germany, revised 06 Feb 2023.
    13. Semei Coronado & Rangan Gupta & Besma Hkiri & Omar Rojas, 2020. "Time-Varying Spillover between Currency and Stock Markets in the United States: More than Two Centuries of Historical Evidence," Working Papers 202060, University of Pretoria, Department of Economics.
    14. Wang, Gang-Jin & Xie, Chi & Jiang, Zhi-Qiang & Stanley, H. Eugene, 2016. "Extreme risk spillover effects in world gold markets and the global financial crisis," International Review of Economics & Finance, Elsevier, vol. 46(C), pages 55-77.
    15. Kuck, Konstantin & Schweikert, Karsten, 2017. "A Markov regime-switching model of crude oil market integration," Journal of Commodity Markets, Elsevier, vol. 6(C), pages 16-31.
    16. Xolani Sibande & Rangan Gupta & Mark E. Wohar, 2018. "Time-Varying Causal Relationship between Stock Market and Unemployment in the United Kingdom: Historical Evidence from 1855 to 2017," Working Papers 201863, University of Pretoria, Department of Economics.
    17. Wang, Lu & Ma, Feng & Niu, Tianjiao & Liang, Chao, 2021. "The importance of extreme shock: Examining the effect of investor sentiment on the crude oil futures market," Energy Economics, Elsevier, vol. 99(C).
    18. Rangan Gupta & Sowmya Subramaniam & Elie Bouri & Qiang Ji, 2020. "Infectious Disease-Related Uncertainty and the Safe-Haven Characteristic of US Treasury Securities," Working Papers 202078, University of Pretoria, Department of Economics.
    19. Yuvana Jaichand & Renee van Eyden & Rangan Gupta, 2024. "Presidential Approval Ratings and Stock Market Performance in Latin America," Working Papers 202411, University of Pretoria, Department of Economics.
    20. Yuksel Haliloglu, Ebru & Sahin, Serkan & Berument, M. Hakan, 2021. "Brent–Dubai oil spread: Basic drivers," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 492-505.
    21. Zhang, Qi & Di, Peng & Farnoosh, Arash, 2021. "Study on the impacts of Shanghai crude oil futures on global oil market and oil industry based on VECM and DAG models," Energy, Elsevier, vol. 223(C).
    22. Cui, Jinxin & Alshater, Muneer M. & Mensi, Walid, 2023. "Higher-order moment risk spillovers and optimal portfolio strategies in global oil markets," Resources Policy, Elsevier, vol. 86(PA).
    23. Roy, Archi & Soni, Anchal & Deb, Soudeep, 2023. "A wavelet-based methodology to compare the impact of pandemic versus Russia–Ukraine conflict on crude oil sector and its interconnectedness with other energy and non-energy markets," Energy Economics, Elsevier, vol. 124(C).
    24. Tiwari, Aviral Kumar & Adewuyi, Adeolu O. & Adeleke, Musefiu Adebowale & Abakah, Emmanuel Joel Aikins, 2023. "A time-varying Granger causality analysis between water stock and green stocks using novel approaches," Energy Economics, Elsevier, vol. 126(C).
    25. Xie, Wen-Jie & Yong, Yang & Wei, Na & Yue, Peng & Zhou, Wei-Xing, 2021. "Identifying states of global financial market based on information flow network motifs," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    26. Hong, Yanran & Ma, Feng & Wang, Lu & Liang, Chao, 2022. "How does the COVID-19 outbreak affect the causality between gold and the stock market? New evidence from the extreme Granger causality test," Resources Policy, Elsevier, vol. 78(C).
    27. Kais Tissaoui & Taha Zaghdoudi & Abdelaziz Hakimi & Mariem Nsaibi, 2023. "Do Gas Price and Uncertainty Indices Forecast Crude Oil Prices? Fresh Evidence Through XGBoost Modeling," Computational Economics, Springer;Society for Computational Economics, vol. 62(2), pages 663-687, August.
    28. Výrost, Tomáš & Lyócsa, Štefan & Baumöhl, Eduard, 2015. "Granger causality stock market networks: Temporal proximity and preferential attachment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 427(C), pages 262-276.
    29. Semei Coronado & Rebeca Jimnez-Rodrguez & Omar Rojas, 2018. "An Empirical Analysis of the Relationships between Crude Oil,Gold and Stock Markets," The Energy Journal, , vol. 39(1_suppl), pages 193-208, June.
    30. Li, Yanshuang & Zhuang, Xintian & Wang, Jian, 2021. "Analysis of the cross-region risk contagion effect in stock market based on volatility spillover networks: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    31. Semei Coronado & Jose N. Martinez & Victor Gualajara & Rafael Romero-Meza & Omar Rojas, 2023. "Time-Varying Granger Causality of COVID-19 News on Emerging Financial Markets: The Latin American Case," Mathematics, MDPI, vol. 11(2), pages 1-18, January.
    32. Sibande, Xolani & Demirer, Riza & Balcilar, Mehmet & Gupta, Rangan, 2023. "On the pricing effects of bitcoin mining in the fossil fuel market: The case of coal," Resources Policy, Elsevier, vol. 85(PB).
    33. Zubair Munawwara, 2024. "Impact Of Crude Oil Price Volatility On Indian Stock Market Returns: A Quantile Regression Approach," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 69(242), pages 93-128, July – Se.
    34. Saafi Sami & Farhat Abdeljelil & Haj Mohamed Meriem Bel, 2015. "Testing the relationships between shadow economy and unemployment: empirical evidence from linear and nonlinear tests," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(5), pages 585-608, December.
    35. Cui, Jinxin & Maghyereh, Aktham, 2023. "Time-frequency dependence and connectedness among global oil markets: Fresh evidence from higher-order moment perspective," Journal of Commodity Markets, Elsevier, vol. 30(C).
    36. Gupta, Rangan & Kanda, Patrick & Tiwari, Aviral Kumar & Wohar, Mark E., 2019. "Time-varying predictability of oil market movements over a century of data: The role of US financial stress," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    37. Katarzyna Kuziak & Joanna Górka, 2023. "Dependence Analysis for the Energy Sector Based on Energy ETFs," Energies, MDPI, vol. 16(3), pages 1-30, January.
    38. Chang, Chun-Ping & Lee, Chien-Chiang, 2015. "Do oil spot and futures prices move together?," Energy Economics, Elsevier, vol. 50(C), pages 379-390.
    39. Huang, Xuan & An, Haizhong & Gao, Xiangyun & Hao, Xiaoqing & Liu, Pengpeng, 2015. "Multiresolution transmission of the correlation modes between bivariate time series based on complex network theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 428(C), pages 493-506.
    40. Lang, Chunlin & Xu, Danyang & Corbet, Shaen & Hu, Yang & Goodell, John W., 2024. "Global financial risk and market connectedness: An empirical analysis of COVOL and major financial markets," International Review of Financial Analysis, Elsevier, vol. 93(C).
    41. Jammazi, Rania & Ferrer, Román & Jareño, Francisco & Hammoudeh, Shawkat M., 2017. "Main driving factors of the interest rate-stock market Granger causality," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 260-280.
    42. Wadud, Sania & Gronwald, Marc & Durand, Robert B. & Lee, Seungho, 2023. "Co-movement between commodity and equity markets revisited—An application of the Thick Pen method," International Review of Financial Analysis, Elsevier, vol. 87(C).
    43. Semei Coronado & Rangan Gupta & Besma Hkiri & Omar Rojas, 2020. "Time-Varying Spillovers between Currency and Stock Markets in the USA: Historical Evidence From More than Two Centuries," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(4), pages 44-76, December.
    44. Semei Coronado & Rangan Gupta & Saban Nazlioglu & Omar Rojas, 2020. "Time-Varying Causality between Bond and Oil Markets of the United States: Evidence from Over One and Half Centuries of Data," Working Papers 202006, University of Pretoria, Department of Economics.
    45. Stavros Stavroyiannis, 2022. "Cointegration and ARDL specification between the Dubai crude oil and the US natural gas market," Papers 2206.03278, arXiv.org.
    46. Kuruppuarachchi, Duminda & Premachandra, I.M., 2016. "Information spillover dynamics of the energy futures market sector: A novel common factor approach," Energy Economics, Elsevier, vol. 57(C), pages 277-294.
    47. Caporina, Massimiliano & Costola, Michele, 2021. "Time-varying granger causality tests for applications in global crude oil markets: A study on the DCC-MGARCH Hong test," SAFE Working Paper Series 324, Leibniz Institute for Financial Research SAFE.
    48. Hong, Yanran & Wang, Lu & Ye, Xiaoqing & Zhang, Yaojie, 2022. "Dynamic asymmetric impact of equity market uncertainty on energy markets: A time-varying causality analysis," Renewable Energy, Elsevier, vol. 196(C), pages 535-546.
    49. Mo, Bin & Chen, Cuiqiong & Nie, He & Jiang, Yonghong, 2019. "Visiting effects of crude oil price on economic growth in BRICS countries: Fresh evidence from wavelet-based quantile-on-quantile tests," Energy, Elsevier, vol. 178(C), pages 234-251.
    50. Hong, Yanran & Wang, Lu & Liang, Chao & Umar, Muhammad, 2022. "Impact of financial instability on international crude oil volatility: New sight from a regime-switching framework," Resources Policy, Elsevier, vol. 77(C).
    51. Jammazi, Rania & Ferrer, Román & Jareño, Francisco & Shahzad, Syed Jawad Hussain, 2017. "Time-varying causality between crude oil and stock markets: What can we learn from a multiscale perspective?," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 453-483.
    52. Zhang, Yue-Jun & Ma, Shu-Jiao, 2019. "How to effectively estimate the time-varying risk spillover between crude oil and stock markets? Evidence from the expectile perspective," Energy Economics, Elsevier, vol. 84(C).
    53. Zhuoqi Teng & Renhong Wu & Yugang He & Anibal Coronel, 2023. "Swings in Crude Oil Valuations: Analyzing Their Bearing on China’s Stock Market Returns amid the COVID-19 Pandemic Upheaval," Discrete Dynamics in Nature and Society, Hindawi, vol. 2023, pages 1-10, June.
    54. Huang, Chuangxia & Zhao, Xian & Deng, Yunke & Yang, Xiaoguang & Yang, Xin, 2022. "Evaluating influential nodes for the Chinese energy stocks based on jump volatility spillover network," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 81-94.
    55. Zhang, Dayong & Ji, Qiang & Kutan, Ali M., 2019. "Dynamic transmission mechanisms in global crude oil prices: Estimation and implications," Energy, Elsevier, vol. 175(C), pages 1181-1193.
    56. Caporin, Massimiliano & Costola, Michele, 2022. "Time-varying Granger causality tests in the energy markets: A study on the DCC-MGARCH Hong test," Energy Economics, Elsevier, vol. 111(C).
    57. Emrah İ. Çevik & Erdal Atukeren & Turhan Korkmaz, 2018. "Oil Prices and Global Stock Markets: A Time-Varying Causality-In-Mean and Causality-in-Variance Analysis," Energies, MDPI, vol. 11(10), pages 1-22, October.

  14. Mei Ho & John Liu & Wen-Min Lu & Chien-Cheng Huang, 2014. "A new perspective to explore the technology transfer efficiencies in US universities," The Journal of Technology Transfer, Springer, vol. 39(2), pages 247-275, April.

    Cited by:

    1. Soares, Thiago J. & Torkomian, Ana L.V., 2021. "TTO's staff and technology transfer: Examining the effect of employees' individual capabilities," Technovation, Elsevier, vol. 102(C).
    2. Hyensup Shim & Kiyoon Shin, 2021. "Empirical Analysis of Evidence-Based Policymaking in R&D Programmes," Sustainability, MDPI, vol. 14(1), pages 1-15, December.
    3. Benjamin Yeo, 2019. "What Drives University Technological Innovation Outcomes? A Re-Vitalised Investigation," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 18(03), pages 1-28, September.
    4. Shui‐ying Jin & Xiao‐lin Zhou & Yung‐ho Chiu, 2021. "The parent–subsidiary knowledge transfer efficiency of Chinese–African multinational enterprises based on a metafrontier epsilon‐based measure model," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(2), pages 479-492, March.
    5. Wuzhao Xue & Hua Li & Rizwan Ali & Ramiz ur Rehman & Gonzalo Fernández-Sánchez, 2021. "Assessing the Static and Dynamic Efficiency of Scientific Research of HEIs China: Three Stage DEA–Malmquist Index Approach," Sustainability, MDPI, vol. 13(15), pages 1-21, July.
    6. Son, Hosung & Chung, Yanghon & Yoon, Sangpil, 2022. "How can university technology holding companies bridge the Valley of Death? Evidence from Korea," Technovation, Elsevier, vol. 109(C).
    7. H. Pierre Hsieh & Yueh‐Cheng Wu & Wen‐Min Lu & Yao‐Chieh Chen, 2020. "Assessing and ranking the innovation ability and business performance of global companies in the aerospace and defense industry," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(6), pages 952-963, September.
    8. Bai, Xue-Jie & Li, Zhen-Yang & Zeng, Jin, 2020. "Performance evaluation of China's innovation during the industry-university-research collaboration process—an analysis basis on the dynamic network slacks-based measurement model," Technology in Society, Elsevier, vol. 62(C).
    9. Lim, Dong-Joon & Kim, Moon-Su, 2022. "Measuring dynamic efficiency with variable time lag effects," Omega, Elsevier, vol. 108(C).
    10. See, Kok Fong & Ma, Zhanxin & Tian, Yuzhen, 2023. "Examining the efficiency of regional university technology transfer in China: A mixed-integer generalized data envelopment analysis framework," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    11. Shu-Hao Chang, 2018. "A pilot study on the connection between scientific fields and patent classification systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 951-970, March.
    12. Clovia Hamilton & Simon P. Philbin, 2020. "Knowledge Based View of University Tech Transfer—A Systematic Literature Review and Meta-Analysis," Administrative Sciences, MDPI, vol. 10(3), pages 1-28, September.
    13. Xiong, Xi & Yang, Guo-liang & Guan, Zhong-cheng, 2018. "Assessing R&D efficiency using a two-stage dynamic DEA model: A case study of research institutes in the Chinese Academy of Sciences," Journal of Informetrics, Elsevier, vol. 12(3), pages 784-805.
    14. Liu, Xing & Wu, Xianhua & Zhang, Weipan, 2024. "A new DEA model and its application in performance evaluation of scientific research activities in the universities of China's double first-class initiative," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    15. Ma, Ding & Cai, Zhishan & Zhu, Chengkai, 2022. "Technology transfer efficiency of universities in China: A three-stage framework based on the dynamic network slacks-based measurement model," Technology in Society, Elsevier, vol. 70(C).
    16. Alice Bertoletti & Geraint Johnes, 2021. "Efficiency in university-industry collaboration: an analysis of UK higher education institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7679-7714, September.
    17. Fernández-López, Sara & Rodríguez-Gulías, María Jesús & Dios-Vicente, Adrián & Rodeiro-Pazos, David, 2020. "Individual and joint effect of patenting and exporting on the university spin-offs’ survival," Technology in Society, Elsevier, vol. 62(C).
    18. Dorys Y. Rodríguez-Castro & Juan Aparicio, 2021. "Introducing a functional framework for integrating the empirical evidence about higher education institutions’ functions and capabilities: A literature review," Journal of Entrepreneurship, Management and Innovation, Fundacja Upowszechniająca Wiedzę i Naukę "Cognitione", vol. 17(1), pages 231-267.
    19. Laura Calzada-Infante & Sebastián Lozano, 2022. "Computing multiperiod efficiency using dominance networks," Annals of Operations Research, Springer, vol. 309(1), pages 37-57, February.
    20. Lu, Wen-Min & Kweh, Qian Long & Nourani, Mohammad & Huang, Feng-Wen, 2016. "Evaluating the efficiency of dual-use technology development programs from the R&D and socio-economic perspectives," Omega, Elsevier, vol. 62(C), pages 82-92.
    21. Zhang, Shaopeng & Wang, Xiaohong, 2022. "Does innovative city construction improve the industry–university–research knowledge flow in urban China?," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    22. Hsu, David W.L. & Shen, Yung-Chi & Yuan, Benjamin J.C. & Chou, Chiyan James, 2015. "Toward successful commercialization of university technology: Performance drivers of university technology transfer in Taiwan," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 25-39.

  15. Chai, Jian & Zhang, Zhong-Yu & Wang, Shou-Yang & Lai, Kin Keung & Liu, John, 2014. "Aviation fuel demand development in China," Energy Economics, Elsevier, vol. 46(C), pages 224-235.

    Cited by:

    1. Chen, Zhongfei & Wanke, Peter & Antunes, Jorge Junio Moreira & Zhang, Ning, 2017. "Chinese airline efficiency under CO2 emissions and flight delays: A stochastic network DEA model," Energy Economics, Elsevier, vol. 68(C), pages 89-108.
    2. He, Xin & Wang, Ning & Zhou, Qiaoqiao & Huang, Jun & Ramakrishna, Seeram & Li, Fanghua, 2024. "Smart aviation biofuel energy system coupling with machine learning technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).

  16. Louis Lu & Bruce Lin & John Liu & Chang-Yung Yu, 2012. "Ethics in Nanotechnology: What’s Being Done? What’s Missing?," Journal of Business Ethics, Springer, vol. 109(4), pages 583-598, September.

    Cited by:

    1. Bongsug (Kevin) Chae & Eunhye (Olivia) Park, 2018. "Corporate Social Responsibility (CSR): A Survey of Topics and Trends Using Twitter Data and Topic Modeling," Sustainability, MDPI, vol. 10(7), pages 1-20, June.
    2. Vincent C. Ma & John S. Liu, 2016. "Exploring the research fronts and main paths of literature: a case study of shareholder activism research," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(1), pages 33-52, October.
    3. Chen, Kaihua & Zhang, Yi & Fu, Xiaolan, 2019. "International research collaboration: An emerging domain of innovation studies?," Research Policy, Elsevier, vol. 48(1), pages 149-168.
    4. Ion Georgiou & Joaquim Heck, 2021. "The emergence of problem structuring methods, 1950s–1989: An atlas of the journal literature," Systems Research and Behavioral Science, Wiley Blackwell, vol. 38(6), pages 756-796, November.
    5. João Guerreiro & Paulo Rita & Duarte Trigueiros, 2016. "A Text Mining-Based Review of Cause-Related Marketing Literature," Journal of Business Ethics, Springer, vol. 139(1), pages 111-128, November.
    6. Chuang, Thomas C. & Liu, John S. & Lu, Louis Y.Y. & Lee, Yachi, 2014. "The main paths of medical tourism: From transplantation to beautification," Tourism Management, Elsevier, vol. 45(C), pages 49-58.

  17. Jie Wu & Hong Yan & John Liu, 2010. "DEA models for identifying sensitive performance measures in container port evaluation," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 12(3), pages 215-236, September.

    Cited by:

    1. Marcelo Müller Beuren & Rafael Andriotti & Guilherme Bergmann Borges Vieira & José Luis Duarte Ribeiro & Francisco José Kliemann Neto, 2018. "On measuring the efficiency of Brazilian ports and their management models," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 20(1), pages 149-168, March.
    2. Odeck, James & Schøyen, Halvor, 2020. "Productivity and convergence in Norwegian container seaports: An SFA-based Malmquist productivity index approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 222-239.
    3. Stephen Hynes & Ingrid Mateo-Mantecón & Eamonn O’Connor & Andreas Tsakiridis, 2020. "Relative size and technical efficiency in peripheral port markets: evidence from Irish and North Atlantic Spanish ports," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 22(3), pages 383-402, September.
    4. Sun, Jiasen & Yuan, Yang & Yang, Rui & Ji, Xiang & Wu, Jie, 2017. "Performance evaluation of Chinese port enterprises under significant environmental concerns: An extended DEA-based analysis," Transport Policy, Elsevier, vol. 60(C), pages 75-86.
    5. B. Adenso-Díaz & N. García Álvarez & J. A. Lago Alba, 2020. "A fuzzy AHP classification of container terminals," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 22(2), pages 218-238, June.
    6. Hynes, S. & Mateo-Mantecón, I. & O’Connor, E. & Tsakiridis, A., 2019. "Examining the relationship between relative size and technical efficiency in peripheral port markets: Evidence from Irish and North Atlantic Spanish ports," Working Papers 309603, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
    7. Mrinal Kumar Dasgupta & Deepankar Sinha, 2016. "Impact of Privatization of Ports on Relative Efficiency of Major Ports of India," Foreign Trade Review, , vol. 51(3), pages 225-247, August.
    8. Evelin Krmac & Mozhgan Mansouri Kaleibar, 2023. "A comprehensive review of data envelopment analysis (DEA) methodology in port efficiency evaluation," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 25(4), pages 817-881, December.
    9. Leonardo Ensslin & Vinicius Dezem & Ademar Dutra & Sandra Rolim Ensslin & Karine Somensi, 2018. "Seaport-performance tools: an analysis of the international literature," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 20(4), pages 587-602, December.
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    2. Rosha, Pali & Mohapatra, Saroj Kumar & Mahla, Sunil Kumar & Cho, HaengMuk & Chauhan, Bhupendra Singh & Dhir, Amit, 2019. "Effect of compression ratio on combustion, performance, and emission characteristics of compression ignition engine fueled with palm (B20) biodiesel blend," Energy, Elsevier, vol. 178(C), pages 676-684.
    3. Mohammed Kamil & Fatima M. Almarashda, 2023. "Economic Viability and Engine Performance Evaluation of Biodiesel Derived from Desert Palm Date Seeds," Energies, MDPI, vol. 16(3), pages 1-22, February.
    4. M, Vinod Babu & K, Madhu Murthy & G, Amba Prasad Rao, 2017. "Butanol and pentanol: The promising biofuels for CI engines – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 1068-1088.
    5. Hosseinzadeh-Bandbafha, Homa & Kazemi Shariat Panahi, Hamed & Dehhaghi, Mona & Orooji, Yasin & Shahbeik, Hossein & Mahian, Omid & Karimi-Maleh, Hassan & Kalam, Md Abul & Salehi Jouzani, Gholamreza & M, 2023. "Applications of nanotechnology in biodiesel combustion and post-combustion stages," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    6. Sadeghinezhad, E. & Kazi, S.N. & Sadeghinejad, Foad & Badarudin, A. & Mehrali, Mohammad & Sadri, Rad & Reza Safaei, Mohammad, 2014. "A comprehensive literature review of bio-fuel performance in internal combustion engine and relevant costs involvement," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 29-44.
    7. Belachew Cekene Tesfa & Rakesh Mishra & Aliyu M. Aliyu, 2021. "Effect of Biodiesel Blends on the Transient Performance of Compression Ignition Engines," Energies, MDPI, vol. 14(17), pages 1-21, August.
    8. Mofijur, M. & Masjuki, H.H. & Kalam, M.A. & Atabani, A.E., 2013. "Evaluation of biodiesel blending, engine performance and emissions characteristics of Jatropha curcas methyl ester: Malaysian perspective," Energy, Elsevier, vol. 55(C), pages 879-887.
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    2. Ganji, Seyedreza Seyedalizadeh & Rassafi, Amir Abbas & Bandari, Samaneh Jamshidi, 2020. "Application of evidential reasoning approach and OWA operator weights in road safety evaluation considering the best and worst practice frontiers," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
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  20. S Mudchanatongsuk & F Ordóñez & J Liu, 2008. "Robust solutions for network design under transportation cost and demand uncertainty," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(5), pages 652-662, May.

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    1. Mengshi Lu & Zuo‐Jun Max Shen, 2021. "A Review of Robust Operations Management under Model Uncertainty," Production and Operations Management, Production and Operations Management Society, vol. 30(6), pages 1927-1943, June.
    2. Gabrel, Virginie & Murat, Cécile & Thiele, Aurélie, 2014. "Recent advances in robust optimization: An overview," European Journal of Operational Research, Elsevier, vol. 235(3), pages 471-483.
    3. Ben-Tal, Aharon & Chung, Byung Do & Mandala, Supreet Reddy & Yao, Tao, 2011. "Robust optimization for emergency logistics planning: Risk mitigation in humanitarian relief supply chains," Transportation Research Part B: Methodological, Elsevier, vol. 45(8), pages 1177-1189, September.
    4. Chow, Joseph Y.J. & Regan, Amelia C., 2011. "Network-based real option models," Transportation Research Part B: Methodological, Elsevier, vol. 45(4), pages 682-695, May.
    5. Sara Mattia & Michael Poss, 2018. "A comparison of different routing schemes for the robust network loading problem: polyhedral results and computation," Computational Optimization and Applications, Springer, vol. 69(3), pages 753-800, April.
    6. Ouhimmou, Mustapha & Nourelfath, Mustapha & Bouchard, Mathieu & Bricha, Naji, 2019. "Design of robust distribution network under demand uncertainty: A case study in the pulp and paper," International Journal of Production Economics, Elsevier, vol. 218(C), pages 96-105.
    7. Kathryn M. Schumacher & Richard Li‐Yang Chen & Amy E.M. Cohn & Jeremy Castaing, 2016. "Algorithm to solve a chance‐constrained network capacity design problem with stochastic demands and finite support," Naval Research Logistics (NRL), John Wiley & Sons, vol. 63(3), pages 236-246, April.
    8. Shi, Yi & Vanhaverbeke, Lieselot & Xu, Jiuping, 2024. "Electric vehicle routing optimization for sustainable kitchen waste reverse logistics network using robust mixed-integer programming," Omega, Elsevier, vol. 128(C).
    9. Hua Sun & Ziyou Gao & W. Szeto & Jiancheng Long & Fangxia Zhao, 2014. "A Distributionally Robust Joint Chance Constrained Optimization Model for the Dynamic Network Design Problem under Demand Uncertainty," Networks and Spatial Economics, Springer, vol. 14(3), pages 409-433, December.
    10. Shahparvari, Shahrooz & Abbasi, Babak, 2017. "Robust stochastic vehicle routing and scheduling for bushfire emergency evacuation: An Australian case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 32-49.
    11. Portoleau, Tom & Artigues, Christian & Guillaume, Romain, 2024. "Robust decision trees for the multi-mode project scheduling problem with a resource investment objective and uncertain activity duration," European Journal of Operational Research, Elsevier, vol. 312(2), pages 525-540.
    12. Mohebalizadehgashti, Fatemeh & Zolfagharinia, Hossein & Amin, Saman Hassanzadeh, 2020. "Designing a green meat supply chain network: A multi-objective approach," International Journal of Production Economics, Elsevier, vol. 219(C), pages 312-327.
    13. Chungmok Lee & Kyungsik Lee & Kyungchul Park & Sungsoo Park, 2012. "Technical Note---Branch-and-Price-and-Cut Approach to the Robust Network Design Problem Without Flow Bifurcations," Operations Research, INFORMS, vol. 60(3), pages 604-610, June.
    14. Roba W. Salem & Mohamed Haouari, 2017. "A simulation-optimisation approach for supply chain network design under supply and demand uncertainties," International Journal of Production Research, Taylor & Francis Journals, vol. 55(7), pages 1845-1861, April.
    15. Byung Chung & Tao Yao & Chi Xie & Andreas Thorsen, 2011. "Robust Optimization Model for a Dynamic Network Design Problem Under Demand Uncertainty," Networks and Spatial Economics, Springer, vol. 11(2), pages 371-389, June.
    16. Matthews, Logan R. & Gounaris, Chrysanthos E. & Kevrekidis, Ioannis G., 2019. "Designing networks with resiliency to edge failures using two-stage robust optimization," European Journal of Operational Research, Elsevier, vol. 279(3), pages 704-720.
    17. Ernst Roos & Dick den Hertog, 2020. "Reducing Conservatism in Robust Optimization," INFORMS Journal on Computing, INFORMS, vol. 32(4), pages 1109-1127, October.
    18. Roos, Ernst & den Hertog, Dick, 2019. "Reducing conservatism in robust optimization," Other publications TiSEM ad0238cd-de7a-4366-b487-b, Tilburg University, School of Economics and Management.
    19. Tao Yao & Supreet Mandala & Byung Chung, 2009. "Evacuation Transportation Planning Under Uncertainty: A Robust Optimization Approach," Networks and Spatial Economics, Springer, vol. 9(2), pages 171-189, June.

  21. Liu, Y. & Liu, J. & Ye, R. & Ren, A. & Li, S. & Li, Z., 2008. "Association of education and the occurrence of low birthweight in rural southern China during the early and late 1990s," American Journal of Public Health, American Public Health Association, vol. 98(4), pages 687-691.

    Cited by:

    1. Lin-Lin Dai & Yuan-Yuan Mao & Xiao-Ming Luo & Yue-Ping Shen, 2014. "Prenatal Care in Combination with Maternal Educational Level Has a Synergetic Effect on the Risk of Neonatal Low Birth Weight: New Findings in a Retrospective Cohort Study in Kunshan City, China," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-13, November.

  22. L Tang & G Liu & J Liu, 2008. "Raw material inventory solution in iron and steel industry using Lagrangian relaxation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(1), pages 44-53, January.

    Cited by:

    1. R J Ormerod, 2010. "OR as rational choice: a decision and game theory perspective," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(12), pages 1761-1776, December.
    2. Kosuke Kawakami & Hirokazu Kobayashi & Kazuhide Nakata, 2021. "Seasonal Inventory Management Model for Raw Materials in Steel Industry," Interfaces, INFORMS, vol. 51(4), pages 312-324, July.
    3. Barros, Júlio & Cortez, Paulo & Carvalho, M. Sameiro, 2021. "A systematic literature review about dimensioning safety stock under uncertainties and risks in the procurement process," Operations Research Perspectives, Elsevier, vol. 8(C).
    4. Toni Greif & Nikolai Stein & Christoph M. Flath, 2023. "Information Value Analysis for Real-Time Silo Fill-Level Monitoring," Interfaces, INFORMS, vol. 53(4), pages 283-294, July.

  23. Yao, Dong-Qing & Yue, Xiaohang & Liu, John, 2008. "Vertical cost information sharing in a supply chain with value-adding retailers," Omega, Elsevier, vol. 36(5), pages 838-851, October.

    Cited by:

    1. Cao, Zong-Hong & Zhou, Yong-Wu & Zhao, Ju & Li, Chang-Wen, 2015. "Entry mode selection and its impact on an incumbent supply chain coordination," Journal of Retailing and Consumer Services, Elsevier, vol. 26(C), pages 1-13.
    2. Xin Yun & Hao Liu & Yi Li & Kin Keung Lai, 2023. "Contract design under asymmetric demand information for sustainable supply chain practices," Annals of Operations Research, Springer, vol. 324(1), pages 1429-1459, May.
    3. Michele Bisceglia, 2023. "Vertical Contract Disclosure in Three‐Tier Industries," Journal of Industrial Economics, Wiley Blackwell, vol. 71(1), pages 1-46, March.
    4. Wang Lina & Milis Koen & Poelmans Stephan, 2021. "Study on Pollution Cost Control Model under Asymmetric Information Based on Principal Agent," Journal of Systems Science and Information, De Gruyter, vol. 9(5), pages 549-557, October.
    5. Weihua Liu & Wanying Wei & Xiaoyu Yan & Di Wang, 2019. "Supply Contract Design with Asymmetric Corporate Social Responsibility Cost Information in Service Supply Chain," Sustainability, MDPI, vol. 11(5), pages 1-24, March.
    6. Sener, Abdurrezzak & Barut, Mehmet & Oztekin, Asil & Avcilar, Mutlu Yuksel & Yildirim, Mehmet Bayram, 2019. "The role of information usage in a retail supply chain: A causal data mining and analytical modeling approach," Journal of Business Research, Elsevier, vol. 99(C), pages 87-104.
    7. Yan, Bo & Wang, Tao & Liu, Yan-ping & Liu, Yang, 2016. "Decision analysis of retailer-dominated dual-channel supply chain considering cost misreporting," International Journal of Production Economics, Elsevier, vol. 178(C), pages 34-41.
    8. Abdurrezzak Sener & Mehmet Barut & Ali Dag & Mehmet Bayram Yildirim, 2021. "Impact of commitment, information sharing, and information usage on supplier performance: a Bayesian belief network approach," Annals of Operations Research, Springer, vol. 303(1), pages 125-158, August.
    9. Rosenthal, Edward C., 2008. "A game-theoretic approach to transfer pricing in a vertically integrated supply chain," International Journal of Production Economics, Elsevier, vol. 115(2), pages 542-552, October.
    10. Elahi, Hamid & Pun, Hubert & Ghamat, Salar, 2023. "The Impact of Capacity Information on Supplier Encroachment," Omega, Elsevier, vol. 117(C).
    11. Chen, Yun Chu & Fang, Shu-Cherng & Wen, Ue-Pyng, 2013. "Pricing policies for substitutable products in a supply chain with Internet and traditional channels," European Journal of Operational Research, Elsevier, vol. 224(3), pages 542-551.
    12. Baojun Jiang & K. Sudhir & Tianxin Zou, 2021. "Effects of Cost‐Information Transparency on Intertemporal Price Discrimination," Production and Operations Management, Production and Operations Management Society, vol. 30(2), pages 390-401, February.
    13. Zhang, Jie & Kevin Chiang, Wei–yu & Liang, Liang, 2014. "Strategic pricing with reference effects in a competitive supply chain," Omega, Elsevier, vol. 44(C), pages 126-135.
    14. Li, Hongmin & Wang, Yimin & Yin, Rui & Kull, Thomas J. & Choi, Thomas Y., 2012. "Target pricing: Demand-side versus supply-side approaches," International Journal of Production Economics, Elsevier, vol. 136(1), pages 172-184.
    15. Jun Zhao, 2022. "Will the community O2O service supply channel benefit the elderly healthcare service supply chain?," Electronic Commerce Research, Springer, vol. 22(4), pages 1617-1650, December.
    16. Yucai Wu & Jiguang Wang & Lu Chen, 2021. "Optimization and Decision of Supply Chain Considering Negative Spillover Effect and Service Competition," Sustainability, MDPI, vol. 13(4), pages 1-20, February.
    17. Cao, Kaiying & Guo, Qiang & Xu, Yuqiu, 2023. "Information sharing and carbon reduction strategies with extreme weather in the platform economy," International Journal of Production Economics, Elsevier, vol. 255(C).
    18. X. Tang & S. Fang & F. Cheng, 2014. "Strategic interactions in service supply chain with horizontal competition," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 22(2), pages 469-488, July.
    19. Niu, Baozhuang & Xu, Haotao & Dai, Zhipeng, 2022. "Check Only Once? Health Information Exchange between Competing Private Hospitals," Omega, Elsevier, vol. 107(C).
    20. Tianjian Yang & Chunmei Li & Xiongping Yue & Beibei Zhang, 2022. "Decisions for Blockchain Adoption and Information Sharing in a Low Carbon Supply Chain," Mathematics, MDPI, vol. 10(13), pages 1-23, June.
    21. DeYong, Gregory D. & Pun, Hubert, 2015. "Is dishonesty the best policy? Supplier behaviour in a multi-tier supply chain," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 1-13.
    22. Yusen Xia & Tiaojun Xiao & G. Peter Zhang, 2019. "Service Investment and Channel Structure Decisions in Competing Supply Chains," Service Science, INFORMS, vol. 11(1), pages 57-74, March.
    23. Jiuping Xu & Guomin Fang & Zezhong Wu, 2016. "Network equilibrium of production, transportation and pricing for multi-product multi-market," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 84(3), pages 567-595, December.
    24. Keyuan Cai & Zhen He & Yaqi Lou & Shuguang He, 2020. "Risk-aversion information in a supply chain with price and warranty competition," Annals of Operations Research, Springer, vol. 287(1), pages 61-107, April.
    25. Zhang, Shichen & Zhang, Jianxiong, 2018. "Contract preference with stochastic cost learning in a two-period supply chain under asymmetric information," International Journal of Production Economics, Elsevier, vol. 196(C), pages 226-247.
    26. Huang, Yanting & Wang, Zongjun, 2017. "Values of information sharing: A comparison of supplier-remanufacturing and manufacturer-remanufacturing scenarios," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 20-44.
    27. Rahimi-Ghahroodi, S. & Al Hanbali, A. & Zijm, W.H.M. & Timmer, J.B., 2020. "Multi-resource emergency supply contracts with asymmetric information in the after-sales services," International Journal of Production Economics, Elsevier, vol. 229(C).
    28. Liu, Mengqi & Cao, Erbao & Salifou, Coulibaly Kigbajah, 2016. "Pricing strategies of a dual-channel supply chain with risk aversion," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 90(C), pages 108-120.
    29. Zhang, Qiao & Tang, Wansheng & Zaccour, Georges & Zhang, Jianxiong, 2019. "Should a manufacturer give up pricing power in a vertical information-sharing channel?," European Journal of Operational Research, Elsevier, vol. 276(3), pages 910-928.
    30. Teo, Thompson S.H. & Lin, Sijie & Lai, Kee-hung, 2009. "Adopters and non-adopters of e-procurement in Singapore: An empirical study," Omega, Elsevier, vol. 37(5), pages 972-987, October.
    31. Wang Lina & Poelmans Stephen & Milis Koen, 2020. "SCM Implementation Decisions Under Asymmetric Information: An Agency Approach," Journal of Systems Science and Information, De Gruyter, vol. 8(5), pages 447-457, October.
    32. Qin, Juanjuan & Fu, Huiping & Wang, Ziping & Xia, Liangjie, 2021. "Financing and carbon emission reduction strategies of capital-constrained manufacturers in E-commerce supply chains," International Journal of Production Economics, Elsevier, vol. 241(C).
    33. Seyed Jafar Sadjadi & Hashem Asadi & Ramin Sadeghian & Hadi Sahebi, 2018. "Retailer Stackelberg game in a supply chain with pricing and service decisions and simple price discount contract," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-24, April.
    34. Zhen-juan Xia & Yong Liu & Qi Zhang, 2022. "A dual supply chain revenue sharing contract considering online reviews and rebate," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(3), pages 321-331, June.
    35. Holsapple, Clyde W. & Lee-Post, Anita, 2010. "Behavior-based analysis of knowledge dissemination channels in operations management," Omega, Elsevier, vol. 38(3-4), pages 167-178, June.
    36. Lai, Guoming & Debo, Laurens G. & Sycara, Katia, 2009. "Sharing inventory risk in supply chain: The implication of financial constraint," Omega, Elsevier, vol. 37(4), pages 811-825, August.
    37. T. M. Rofin & Biswajit Mahanty, 2021. "Impact of wholesale price discrimination on the profit of chain members under different channel power structures," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(2), pages 91-107, April.
    38. Qiuxiang Li & Xingli Chen & Yimin Huang & Huangbao Gui & Shengyang Liu, 2019. "The Impacts of Green Innovation Input and Channel Service in a Dual-Channel Value Chain," IJERPH, MDPI, vol. 16(22), pages 1-26, November.
    39. Hyesung Seok & Shimon Y. Nof, 2018. "Intelligent information sharing among manufacturers in supply networks: supplier selection case," Journal of Intelligent Manufacturing, Springer, vol. 29(5), pages 1097-1113, June.
    40. Pi, Zhenyang & Fang, Weiguo & Perera, Sandun C. & Zhang, Baofeng, 2022. "Enhancing the online buyer perception of consumer experience products in a dual-channel supply chain: A new role of free-riding," International Journal of Production Economics, Elsevier, vol. 253(C).
    41. Changchun Liu & Xi Xiang & Li Zheng, 2020. "Value of information sharing in a multiple producers–distributor supply chain," Annals of Operations Research, Springer, vol. 285(1), pages 121-148, February.
    42. Junhai Ma & Fang Zhang & Binshuo Bao, 2019. "Dynamic Game and Coordination Strategy of Multichannel Supply Chain Based on Brand Competition," Complexity, Hindawi, vol. 2019, pages 1-26, December.
    43. Ma, Peng & Shang, Jennifer & Wang, Haiyan, 2017. "Enhancing corporate social responsibility: Contract design under information asymmetry," Omega, Elsevier, vol. 67(C), pages 19-30.
    44. Li, Tian & Zhang, Hongtao, 2015. "Information sharing in a supply chain with a make-to-stock manufacturer," Omega, Elsevier, vol. 50(C), pages 115-125.
    45. Cassidey, Thomas B. & Freeman, Nickolas & Melouk, Sharif, 2022. "Leveraging concurrent sourcing for risk mitigation and pricing," Omega, Elsevier, vol. 113(C).
    46. Li, Qiu-xiang & Ji, Hui-min & Huang, Yi-min, 2022. "The information leakage strategies of the supply chain under the block chain technology introduction," Omega, Elsevier, vol. 110(C).

  24. Luo, W. & Jia, Z. & Fang, S. & Wang, N. & Liu, J. & Wang, L. & Tian, S. & Zhang, Y., 2008. "Outflow reduction and salt and nitrogen dynamics at controlled drainage in the YinNan Irrigation District, China," Agricultural Water Management, Elsevier, vol. 95(7), pages 809-816, July.

    Cited by:

    1. Tolomio, Massimo & Borin, Maurizio, 2018. "Water table management to save water and reduce nutrient losses from agricultural fields: 6 years of experience in North-Eastern Italy," Agricultural Water Management, Elsevier, vol. 201(C), pages 1-10.
    2. Jia, Z. & Wu, Z. & Luo, W. & Xi, W. & Tang, S. & Liu, W.L. & Fang, S., 2013. "The impact of improving irrigation efficiency on wetland distribution in an agricultural landscape in the upper reaches of the Yellow River in China," Agricultural Water Management, Elsevier, vol. 121(C), pages 54-61.
    3. Ibrikci, Hayriye & Cetin, Mahmut & Karnez, Ebru & Flügel, Wolfgang Albert & Tilkici, Burak & Bulbul, Yunus & Ryan, John, 2015. "Irrigation-induced nitrate losses assessed in a Mediterranean irrigation district," Agricultural Water Management, Elsevier, vol. 148(C), pages 223-231.

  25. J Liu & R K Ahuja & G Şahin, 2008. "Optimal network configuration and capacity expansion of railroads," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(7), pages 911-920, July.

    Cited by:

    1. G Lulli & U Pietropaoli & N Ricciardi, 2011. "Service network design for freight railway transportation: the Italian case," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(12), pages 2107-2119, December.
    2. Mørch, Ove & Fagerholt, Kjetil & Pantuso, Giovanni & Rakke, Jørgen, 2017. "Maximizing the rate of return on the capital employed in shipping capacity renewal," Omega, Elsevier, vol. 67(C), pages 42-53.
    3. Paraskevopoulos, Dimitris C. & Gürel, Sinan & Bektaş, Tolga, 2016. "The congested multicommodity network design problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 85(C), pages 166-187.
    4. Yiting Xing & Ling Li & Zhuming Bi & Marzena Wilamowska‐Korsak & Li Zhang, 2013. "Operations Research (OR) in Service Industries: A Comprehensive Review," Systems Research and Behavioral Science, Wiley Blackwell, vol. 30(3), pages 300-353, May.
    5. Atiyeh Safardoust & Soroush Ghazinoori & Manouchehr Manteghi & Mohammad Naghizadeh & Jahanyar Bamdad Soofi, 2024. "Network Heterogeneity and Firm Performance: the Role of Network Capability," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 8020-8052, June.
    6. Ram Gopalan, 2015. "Computational complexity of convoy movement planning problems," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 82(1), pages 31-60, August.

  26. Yue, Xiaohang & Liu, John, 2006. "Demand forecast sharing in a dual-channel supply chain," European Journal of Operational Research, Elsevier, vol. 174(1), pages 646-667, October.

    Cited by:

    1. Matsui, Kenji, 2020. "Optimal bargaining timing of a wholesale price for a manufacturer with a retailer in a dual-channel supply chain," European Journal of Operational Research, Elsevier, vol. 287(1), pages 225-236.
    2. Ciwei Dong & Liu Yang & Chi To Ng, 2020. "Quantity Leadership for a Dual-Channel Supply Chain with Retail Service," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 37(02), pages 1-32, March.
    3. Leng, Mingming & Zhu, An, 2009. "Side-payment contracts in two-person nonzero-sum supply chain games: Review, discussion and applications," European Journal of Operational Research, Elsevier, vol. 196(2), pages 600-618, July.
    4. Arcan Nalca, & Tamer Boyaci, & Saibal Ray, 2017. "Brand positioning and consumer taste information," ESMT Research Working Papers ESMT-17-01_R1, ESMT European School of Management and Technology, revised 04 Dec 2017.
    5. Panda, S. & Modak, N.M. & Sana, S.S. & Basu, M., 2015. "Pricing and replenishment policies in dual-channel supply chain under continuous unit cost decrease," Applied Mathematics and Computation, Elsevier, vol. 256(C), pages 913-929.
    6. Kuiran Shi & Hujie Ma, 2016. "Evolution Of Trust In A Dual-Channel Supply Chain Considering Reciprocal Altruistic Behavior," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 19(06n07), pages 1-30, September.
    7. Nekoiemehr, Nooshin & Zhang, Guoqing & Selvarajah, Esaignani, 2019. "Due date quotation in a dual-channel supply chain," International Journal of Production Economics, Elsevier, vol. 215(C), pages 102-111.
    8. Modak, Nikunja Mohan & Kelle, Peter, 2019. "Managing a dual-channel supply chain under price and delivery-time dependent stochastic demand," European Journal of Operational Research, Elsevier, vol. 272(1), pages 147-161.
    9. Albert Y. Ha & Quan Tian & Shilu Tong, 2017. "Information Sharing in Competing Supply Chains with Production Cost Reduction," Manufacturing & Service Operations Management, INFORMS, vol. 19(2), pages 246-262, May.
    10. Yan, Wei & Li, Youwei & Wu, Ying & Palmer, Mark, 2016. "A rising e-channel tide lifts all boats? The impact of manufacturer multi-channel encroachment on traditional selling and leasing," MPRA Paper 70747, University Library of Munich, Germany.
    11. Meiwen Guo & Cheng Ling Tan & Liang Wu & Jianping Peng & Rongwei Ren & Chun-Hung Chiu, 2021. "Determinants of Intention to Purchase Bottled Water Based on Business Online Strategy in China: The Role of Perceived Risk in the Theory of Planned Behavior," IJERPH, MDPI, vol. 18(20), pages 1-25, October.
    12. Cao, Kaiying & Xu, Yuqiu & Hua, Ye & Choi, Tsan-Ming, 2023. "Supplier or co-optor: Optimal channel and logistics selection problems on retail platforms," European Journal of Operational Research, Elsevier, vol. 311(3), pages 971-988.
    13. Ye, Yi & Guo, Qiang & Nie, Jiajia, 2023. "Retailer information strategies with a dual-purpose manufacturer," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 180(C).
    14. Subrata Saha, 2016. "Channel characteristics and coordination in three-echelon dual-channel supply chain," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(3), pages 740-754, February.
    15. Wang, Jian-Cai & Lau, Hon-Shiang & Lau, Amy Hing Ling, 2008. "How a retailer should manipulate a dominant manufacturer's perception of market and cost parameters," International Journal of Production Economics, Elsevier, vol. 116(1), pages 43-60, November.
    16. Aydin, Ayhan & Parker, Rodney P., 2018. "Innovation and technology diffusion in competitive supply chains," European Journal of Operational Research, Elsevier, vol. 265(3), pages 1102-1114.
    17. Yan, Ruiliang & Pei, Zhi & Myers, Chris, 2016. "Do channel members value the multiple-cooperation strategy?," Journal of Retailing and Consumer Services, Elsevier, vol. 30(C), pages 84-95.
    18. Choi, Tsan-Ming & Chen, Yue & Chung, Sai Ho, 2019. "Online-offline fashion franchising supply chains without channel conflicts: Choices on postponement and contracts," International Journal of Production Economics, Elsevier, vol. 215(C), pages 174-184.
    19. Shi, Chun-lai & Geng, Wei, 2021. "To introduce a store brand or not: Roles of market information in supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 150(C).
    20. Shengliang Zong & Chunyang Shen & Siping Su, 2022. "Decision Making in Green Supply Chain with Manufacturers’ Misreporting Behavior," Sustainability, MDPI, vol. 14(9), pages 1-28, April.
    21. Zhong, Yuanguang & Yang, Tong & Zillmann, Stefan & Cao, Bin, 2022. "The role of government regulatory policies in financing capital-constrained retailers under competition," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    22. Shamsi G., N. & Ali Torabi, S. & Shakouri G., H., 2018. "An option contract for vaccine procurement using the SIR epidemic model," European Journal of Operational Research, Elsevier, vol. 267(3), pages 1122-1140.
    23. Zhong, Qinjia & Wang, Jianjun & Zou, Zongbao & Lai, Xiaofan, 2023. "The incentives for information sharing in online retail platforms," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 172(C).
    24. Jianghua Wu & Yuan Xue & Jiahao Yu, 2024. "A strategic analysis of timing of wholesale pricing and information sharing strategy in dual-channel retailing," Annals of Operations Research, Springer, vol. 338(2), pages 1219-1240, July.
    25. Chen, Yun Chu & Fang, Shu-Cherng & Wen, Ue-Pyng, 2013. "Pricing policies for substitutable products in a supply chain with Internet and traditional channels," European Journal of Operational Research, Elsevier, vol. 224(3), pages 542-551.
    26. Huang, Song & Yang, Chao & Liu, Hui, 2013. "Pricing and production decisions in a dual-channel supply chain when production costs are disrupted," Economic Modelling, Elsevier, vol. 30(C), pages 521-538.
    27. Peng, Yongtao & Wang, Wei & Li, Shuanglin & Veglianti, Eleonora, 2022. "Competition and cooperation in the dual-channel green supply chain with customer satisfaction," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 95-113.
    28. Liu, Jiaguo & Wang, Junjin, 2019. "Carrier alliance incentive analysis and coordination in a maritime transport chain based on service competition," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 333-355.
    29. Yong He & Hongfu Huang & Dong Li, 2020. "Inventory and pricing decisions for a dual-channel supply chain with deteriorating products," Operational Research, Springer, vol. 20(3), pages 1461-1503, September.
    30. Nie, Jiajia & Zhong, Ling & Yan, Hong & Yang, Wenjuan, 2019. "Retailers' distribution channel strategies with cross-channel effect in a competitive market," International Journal of Production Economics, Elsevier, vol. 213(C), pages 32-45.
    31. Lin, Jing & Ma, Xin & Talluri, Srinivas & Yang, Cheng-Hu, 2021. "Retail channel management decisions under collusion," European Journal of Operational Research, Elsevier, vol. 294(2), pages 700-710.
    32. Jena, Sarat Kumar & Meena, Purushottam, 2022. "Competitive sustainable processes and pricing decisions in omnichannel closed-up supply chains under different channel power structures," Journal of Retailing and Consumer Services, Elsevier, vol. 69(C).
    33. Chiang, Wei-yu Kevin, 2010. "Product availability in competitive and cooperative dual-channel distribution with stock-out based substitution," European Journal of Operational Research, Elsevier, vol. 200(1), pages 111-126, January.
    34. Matsui, Kenji, 2024. "Should competing suppliers with dual-channel supply chains adopt agency selling in an e-commerce platform?," European Journal of Operational Research, Elsevier, vol. 312(2), pages 587-604.
    35. Avinadav, Tal & Chernonog, Tatyana & Meilijson, Isaac & Perlman, Yael, 2022. "A consignment contract with revenue sharing between an app developer and a distribution platform," International Journal of Production Economics, Elsevier, vol. 243(C).
    36. X. Tang & S. Fang & F. Cheng, 2014. "Strategic interactions in service supply chain with horizontal competition," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 22(2), pages 469-488, July.
    37. Lufeng Dai & Xifu Wang & Xiaoguang Liu & Lai Wei, 2019. "Pricing Strategies in Dual-Channel Supply Chain with a Fair Caring Retailer," Complexity, Hindawi, vol. 2019, pages 1-23, April.
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    43. Haoxuan Zheng & Xingwei Li & Xiaowen Zhu & Yicheng Huang & Zhili Liu & Yuxin Liu & Jiaxin Liu & Xiangye Li & Yuejia Li & Chunhui Li, 2022. "Impact of Recycler Information Sharing on Supply Chain Performance of Construction and Demolition Waste Resource Utilization," IJERPH, MDPI, vol. 19(7), pages 1-22, March.
    44. Carrillo, Janice E. & Vakharia, Asoo J. & Wang, Ruoxuan, 2014. "Environmental implications for online retailing," European Journal of Operational Research, Elsevier, vol. 239(3), pages 744-755.
    45. Yanjie Wang & Qinpeng Wang & Jingao Shi, 2024. "Demand Forecast Information Sharing in Low-Carbon Supply Chains," Sustainability, MDPI, vol. 16(20), pages 1-15, October.
    46. Guoxuan Huang & Qing Ding & Ciwei Dong & Zhicong Pan, 2021. "Joint optimization of pricing and inventory control for dual-channel problem under stochastic demand," Annals of Operations Research, Springer, vol. 298(1), pages 307-337, March.
    47. Wu, Junjian & Wang, Haiyan & Shang, Jennifer, 2019. "Multi-sourcing and information sharing under competition and supply uncertainty," European Journal of Operational Research, Elsevier, vol. 278(2), pages 658-671.
    48. Matsui, Kenji, 2021. "Buyer’s strategic demand information sharing with an upstream echelon for entry promotion," International Journal of Production Economics, Elsevier, vol. 242(C).
    49. Jiamuyan Xie, 2022. "Information Sharing in a Supply Chain with Asymmetric Competing Retailers," Sustainability, MDPI, vol. 14(19), pages 1-21, October.
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    54. Pu, Xujin & Zhang, Shiming & Ji, Bowen & Han, Guanghua, 2021. "Online channel strategies under different offline channel power structures," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    55. Tahirov, Nail & Glock, Christoph H., 2022. "Manufacturer encroachment and channel conflicts: A systematic review of the literature," European Journal of Operational Research, Elsevier, vol. 302(2), pages 403-426.
    56. Nalca, Arcan & Boyaci, Tamer & Ray, Saibal, 2018. "Brand positioning and consumer taste information," European Journal of Operational Research, Elsevier, vol. 268(2), pages 555-568.
    57. Liu, Mengqi & Cao, Erbao & Salifou, Coulibaly Kigbajah, 2016. "Pricing strategies of a dual-channel supply chain with risk aversion," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 90(C), pages 108-120.
    58. Ding, Qing & Dong, Ciwei & Pan, Zhicong, 2016. "A hierarchical pricing decision process on a dual-channel problem with one manufacturer and one retailer," International Journal of Production Economics, Elsevier, vol. 175(C), pages 197-212.
    59. Zhang, Chu & Liu, Bin & Cai, Gangshu George & Huang, Tao, 2023. "When ignorance is bliss: The retailer’s intelligence hazard under information sharing and exchanging," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 180(C).
    60. Jiang, Yuanchun & Liu, Yezheng & Shang, Jennifer & Yildirim, Pinar & Zhang, Qingfu, 2018. "Optimizing online recurring promotions for dual-channel retailers: Segmented markets with multiple objectives," European Journal of Operational Research, Elsevier, vol. 267(2), pages 612-627.
    61. Gunasekaran, Angappa & Ngai, Eric W.T., 2009. "Modeling and analysis of build-to-order supply chains," European Journal of Operational Research, Elsevier, vol. 195(2), pages 319-334, June.
    62. Ma, Miaomiao & Meng, Weidong & Huang, Bo & Li, Yuyu, 2023. "The influence of dual credit policy on new energy vehicle technology innovation under demand forecast information asymmetry," Energy, Elsevier, vol. 271(C).
    63. Shi, Siyu & Sun, Jingchun & Cheng, T.C.E., 2020. "Wholesale or drop-shipping: Contract choices of the online retailer and the manufacturer in a dual-channel supply chain," International Journal of Production Economics, Elsevier, vol. 226(C).
    64. Ping Shi & Bo Yan & Jun Zhao, 2020. "Appropriate timing for SMEs to introduce an Internet-based online channel under uncertain operating costs: a real options analysis," Electronic Commerce Research, Springer, vol. 20(4), pages 969-999, December.
    65. Bian, Wenliang & Shang, Jennifer & Zhang, Juliang, 2016. "Two-way information sharing under supply chain competition," International Journal of Production Economics, Elsevier, vol. 178(C), pages 82-94.
    66. Ruiping Wang & Zhenkai Lou & Xuming Lou, 2024. "Manufacturer’s Channel Strategy and Demand Information Sharing in a Retailer-Led Green Supply Chain," Sustainability, MDPI, vol. 16(14), pages 1-21, July.
    67. Chen, Jing & Pun, Hubert & Zhang, Qiao, 2023. "Eliminate demand information disadvantage in a supplier encroachment supply chain with information acquisition," European Journal of Operational Research, Elsevier, vol. 305(2), pages 659-673.
    68. Wen-Bin Wang & Qiang Sun & Xiu-Xia Yan & Yuan-Qing Liu, 2022. "Dual-Channel Supply Chain Financing Operation Strategy Considering Free-Riding Effect under Different Power Structures," Sustainability, MDPI, vol. 14(15), pages 1-27, July.
    69. Yao, Yao & Zhang, Jianxiong & Fan, Xiaoqing, 2022. "Strategic pricing: An anti-encroachment policy of retailer with uncertainty in retail service," European Journal of Operational Research, Elsevier, vol. 302(1), pages 144-157.
    70. Xie, Gang & Yue, Wuyi & Wang, Shouyang & Lai, Kin Keung, 2011. "Quality investment and price decision in a risk-averse supply chain," European Journal of Operational Research, Elsevier, vol. 214(2), pages 403-410, October.
    71. Yan, Ruiliang & Cao, Zixia & Pei, Zhi, 2016. "Manufacturer's cooperative advertising, demand uncertainty, and information sharing," Journal of Business Research, Elsevier, vol. 69(2), pages 709-717.
    72. Mariia Petryk & Michael Rivera & Siddharth Bhattacharya & Liangfei Qiu & Subodha Kumar, 2022. "How Network Embeddedness Affects Real-Time Performance Feedback: An Empirical Investigation," Information Systems Research, INFORMS, vol. 33(4), pages 1467-1489, December.
    73. Arcan Nalca, & Tamer Boyaci, & Saibal Ray, 2017. "Consumer taste uncertainty in the context of store brand and national brand competition," ESMT Research Working Papers ESMT-17-01, ESMT European School of Management and Technology.
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    76. Man Yang & Tao Zhang, 2023. "Demand forecasting and information sharing of a green supply chain considering data company," Journal of Combinatorial Optimization, Springer, vol. 45(5), pages 1-28, July.
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  27. J. Wang & H. S. Sii & J. B. Yang & A. Pillay & D. Yu & J. Liu & E. Maistralis & A. Saajedi, 2004. "Use of Advances in Technology for Maritime Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 24(4), pages 1041-1063, August.

    Cited by:

    1. Xueni Gou & Jasmine Siu Lee Lam, 2019. "Risk analysis of marine cargoes and major port disruptions," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 21(4), pages 497-523, December.
    2. Yue Jiao & Maxim A. Dulebenets & Yui-yip Lau, 2020. "Cruise Ship Safety Management in Asian Regions: Trends and Future Outlook," Sustainability, MDPI, vol. 12(14), pages 1-15, July.
    3. Vikas Kumar & Saurav Kumar, 2021. "ANN-Based Integrated Risk Ranking Approach: A Case Study of Contaminants of Emerging Concern of Fish and Seafood in Europe," IJERPH, MDPI, vol. 18(4), pages 1-17, February.
    4. Martí Nadal & Vikas Kumar & Marta Schuhmacher & José L. Domingo, 2008. "Applicability of a Neuroprobabilistic Integral Risk Index for the Environmental Management of Polluted Areas: A Case Study," Risk Analysis, John Wiley & Sons, vol. 28(2), pages 271-286, April.

  28. L. Tian & J. Liu & Y. Zhao & L. J. Wei, 2004. "Statistical inference based on non-smooth estimating functions," Biometrika, Biometrika Trust, vol. 91(4), pages 943-954, December.

    Cited by:

    1. Zhouping Li & Jinfeng Xu & Wang Zhou, 2016. "On Nonsmooth Estimating Functions via Jackknife Empirical Likelihood," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 43(1), pages 49-69, March.
    2. Jian Zhang & Faming Liang, 2008. "Convergence of stochastic approximation algorithms under irregular conditions," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 62(3), pages 393-403, August.
    3. Yijian Huang, 2013. "Fast Censored Linear Regression," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 40(4), pages 789-806, December.
    4. Zhang, Jiajia & Peng, Yingwei, 2007. "An alternative estimation method for the accelerated failure time frailty model," Computational Statistics & Data Analysis, Elsevier, vol. 51(9), pages 4413-4423, May.
    5. Chaohua Dong & Jiti Gao & Bin Peng & Yundong Tu, 2023. "Smoothing the Nonsmoothness," Papers 2309.16348, arXiv.org.
    6. Larry F. León & Ray Lin & Keaven M. Anderson, 2020. "On Weighted Log-Rank Combination Tests and Companion Cox Model Estimators," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 12(2), pages 225-245, July.

  29. Hennrikus, D.J. & Jeffery, R.W. & Lando, H.A. & Murray, D.M. & Brelje, K. & Davidann, B. & Baxter, J.S. & Thai, D. & Vessey, J. & Liu, J., 2002. "The SUCCESS project: The effect of program format and incentives on participation and cessation in worksite smoking cessation programs," American Journal of Public Health, American Public Health Association, vol. 92(2), pages 274-279.

    Cited by:

    1. Finkelstein, Eric A. & Bilger, Marcel & Baid, Drishti, 2019. "Effectiveness and cost-effectiveness of incentives as a tool for prevention of non-communicable diseases: A systematic review," Social Science & Medicine, Elsevier, vol. 232(C), pages 340-350.
    2. Allan Donner & Neil Klar & Guangyong Zou, 2004. "Methods for the Statistical Analysis of Binary Data in Split-Cluster Designs," Biometrics, The International Biometric Society, vol. 60(4), pages 919-925, December.

  30. L Tang & J Liu & A Rong & Z Yang, 2001. "An effective heuristic algorithm to minimise stack shuffles in selecting steel slabs from the slab yard for heating and rolling," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 52(10), pages 1091-1097, October.

    Cited by:

    1. Sven Boge & Sigrid Knust, 2023. "The blocks relocation problem with item families minimizing the number of reshuffles," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(2), pages 395-435, June.
    2. Singh, Kumar Ashutosh & Srinivas & Tiwari, M. K., 2004. "Modelling the slab stack shuffling problem in developing steel rolling schedules and its solution using improved Parallel Genetic Algorithms," International Journal of Production Economics, Elsevier, vol. 91(2), pages 135-147, September.

  31. Liu, J & Thomas, J, 2000. "Stock returns and accounting earnings," Journal of Accounting Research, Wiley Blackwell, vol. 38(1), pages 71-101.

    Cited by:

    1. He, Qing & Gan, Jingyun & Wang, Shuwan & Chong, Terence Tai Leung, 2018. "The Effects of Trading Suspensions in China," MPRA Paper 92037, University Library of Munich, Germany.
    2. Ali, Heba & Hegazy, Aya Yasser, 2022. "Dividend policy, risk and the cross-section of stock returns: Evidence from India," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 169-192.
    3. François Aubert, 2005. "L'Impact Des Changements De Méthodes Comptables Sur Les Rentabilites Boursieres," Post-Print halshs-00581111, HAL.
    4. Hanish Rajpal & Pawan Jain, 2018. "Auditor’s Characteristics and Earnings Management in India," Accounting and Finance Research, Sciedu Press, vol. 7(4), pages 1-43, November.
    5. Jacob, Martin & Schütt, Harm, 2013. "Firm valuation and the uncertainty of future tax avoidance," arqus Discussion Papers in Quantitative Tax Research 149, arqus - Arbeitskreis Quantitative Steuerlehre.
    6. Olga Ferraro, 2021. "A Brief Overview of the IPO Valuation Methods," International Journal of Business and Management, Canadian Center of Science and Education, vol. 15(12), pages 1-41, July.
    7. Erkens, Michael H.R. & Gan, Ying & Yurtoglu, B. Burcin, 2018. "Not all clawbacks are the same: Consequences of strong versus weak clawback provisions," Journal of Accounting and Economics, Elsevier, vol. 66(1), pages 291-317.
    8. Zhipeng Yan & Yan Zhao & Wei Xu & Lee-Young Cheng, 2012. "Earnings response elasticity and post-earnings-announcement drift," Journal of Asset Management, Palgrave Macmillan, vol. 13(4), pages 287-305, August.
    9. Mark Wong & Adrian Wai Kong Cheung & Wei Hu, 2021. "When two anomalies meet: Volume and timing effects on earnings announcements," The Financial Review, Eastern Finance Association, vol. 56(2), pages 355-380, May.
    10. Dechow, Patricia & Ge, Weili & Schrand, Catherine, 2010. "Understanding earnings quality: A review of the proxies, their determinants and their consequences," Journal of Accounting and Economics, Elsevier, vol. 50(2-3), pages 344-401, December.
    11. Dickinson, Victoria & Kassa, Haimanot & Schaberl, Philipp D., 2018. "What information matters to investors at different stages of a firm's life cycle?," Advances in accounting, Elsevier, vol. 42(C), pages 22-33.
    12. Huang, Haijie & Lee, Edward & Lyu, Changjiang & Zhu, Zhenmei, 2016. "The effect of accounting academics in the boardroom on the value relevance of financial reporting information," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 18-30.
    13. Raul Iñiguez & Francisco Poveda & Pablo J. Vazquez, 2010. "Valuing Loss Firms: What Can Be Learned From Analysts' Forecasts?," Abacus, Accounting Foundation, University of Sydney, vol. 46(2), pages 129-152, June.
    14. Kryzanowski, Lawrence & Mohsni, Sana, 2015. "Earnings forecasts and idiosyncratic volatilities," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 107-123.
    15. Dennis Oswald & Paul Zarowin, 2007. "Capitalization of R&D and the Informativeness of Stock Prices," European Accounting Review, Taylor & Francis Journals, vol. 16(4), pages 703-726.
    16. Michael Clement & Richard Frankel & Jeffrey Miller, 2003. "Confirming Management Earnings Forecasts, Earnings Uncertainty, and Stock Returns," Journal of Accounting Research, Wiley Blackwell, vol. 41(4), pages 653-679, September.
    17. Fink, Josef, 2021. "A review of the Post-Earnings-Announcement Drift," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
    18. Ran Barniv & Mark Myring, 2006. "An International Analysis of Historical and Forecast Earnings in Accounting‐Based Valuation Models," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 33(7‐8), pages 1087-1109, September.
    19. Chen, Peter & Zhang, Guochang, 2007. "How do accounting variables explain stock price movements? Theory and evidence," Journal of Accounting and Economics, Elsevier, vol. 43(2-3), pages 219-244, July.
    20. Marco Aiolfi & Marius Rodriguez & Allan Timmermann, 2010. "Understanding Analysts' Earnings Expectations: Biases, Nonlinearities, and Predictability," Journal of Financial Econometrics, Oxford University Press, vol. 8(3), pages 305-334, Summer.
    21. Kothari, S. P., 2001. "Capital markets research in accounting," Journal of Accounting and Economics, Elsevier, vol. 31(1-3), pages 105-231, September.
    22. Chen, Jian & Qi, Shuyuan, 2024. "Limit-hitting exciting effects: Modeling jump dependencies in stock markets adhering to daily price-limit rules," Journal of Banking & Finance, Elsevier, vol. 163(C).
    23. Semenova, Natalia & Hassel, Lars & Nilsson, Henrik, 2009. "The Value Relevance of Environmental and Social Performance: Evidence from Swedish SIX 300 Companies," Sustainable Investment and Corporate Governance Working Papers 2009/4, Sustainable Investment Research Platform.
    24. William Beaver & Bradford Cornell & Wayne R. Landsman & Stephen R. Stubben, 2008. "The Impact of Analysts' Forecast Errors and Forecast Revisions on Stock Prices," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 35(5‐6), pages 709-740, June.
    25. Ruey S. Tsay & Yi-Mien Lin & Hsiao-Wen Wang, 2009. "Residual income, non-earnings information, and information content," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(6), pages 487-511.
    26. Schaberl, Philipp D., 2016. "Beyond accounting and back: An empirical examination of the relative relevance of earnings and “other” information," Advances in accounting, Elsevier, vol. 35(C), pages 98-113.
    27. Mohamed Sellami, 2006. "Typologie des déterminants comptables de la valeur : Apports de l'approche économique de l'information dans la mesure de la valeur," Post-Print halshs-00558252, HAL.
    28. Himanshu & Jatinder P. Singh & Ashwani Kumar, 2020. "Prioritizing and Establishing Cause and Effect Relationships Among Financial Reporting Quality Metrics," Vision, , vol. 24(3), pages 330-344, September.
    29. Junttila, Juha & Kallunki, Juha-Pekka & Karja, Aki & Martikainen, Minna, 2005. "Stock market response to analysts' perceptions and earnings in a technology-intensive environment," International Review of Financial Analysis, Elsevier, vol. 14(1), pages 77-92.
    30. Jung, Boochun & Shane, Philip B. & Sunny Yang, Yanhua, 2012. "Do financial analysts' long-term growth forecasts matter? Evidence from stock recommendations and career outcomes," Journal of Accounting and Economics, Elsevier, vol. 53(1), pages 55-76.
    31. Vicentiu Covrig & Buen Sin Low, 2005. "The Relevance of Analysts’ Earnings Forecasts in Japan," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 32(7‐8), pages 1437-1463, September.
    32. He, Jie & Xu, Sha & Wang, Bin & Chan, Kam C., 2023. "Learn from peers? The impact of peer firms' analyst earnings forecasts on a focal firm's corporate investment efficiency," International Review of Financial Analysis, Elsevier, vol. 89(C).
    33. Alex Dontoh & Suresh Radhakrishnan & Joshua Ronen, 2007. "Is stock price a good measure for assessing value-relevance of earnings? An empirical test," Review of Managerial Science, Springer, vol. 1(1), pages 3-45, April.
    34. James Ohlson & Erik Johannesson, 2016. "Equity Value as a Function of (eps1, eps2, dps1, bvps, beta): Concepts and Realities," Abacus, Accounting Foundation, University of Sydney, vol. 52(1), pages 70-99, March.
    35. Chakrabarty, Bidisha & Moulton, Pamela C., 2012. "Earnings announcements and attention constraints: The role of market design," Journal of Accounting and Economics, Elsevier, vol. 53(3), pages 612-634.
    36. del Río, Cristina & López-Arceiz, Francisco J. & Muga, Luis, 2023. "Do sustainability disclosure mechanisms reduce market myopia? Evidence from European sustainability companies," International Review of Financial Analysis, Elsevier, vol. 87(C).
    37. Ramnath, Sundaresh & Rock, Steve & Shane, Philip, 2008. "The financial analyst forecasting literature: A taxonomy with suggestions for further research," International Journal of Forecasting, Elsevier, vol. 24(1), pages 34-75.
    38. Peter Clarkson & Alexander Nekrasov & Andreas Simon & Irene Tutticci, 2020. "Target price forecasts: The roles of the 52‐week high price and recent investor sentiment," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 47(9-10), pages 1365-1399, October.
    39. Francesco Capalbo & Marco Sorrentino & Margherita Smarra, 2018. "Earnings Management and State Ownership: A Literature Review," International Journal of Business and Management, Canadian Center of Science and Education, vol. 13(6), pages 117-117, April.
    40. Marc Deloof & Wouter De Maeseneire & Koen Inghelbrecht, 2009. "How Do Investment Banks Value Initial Public Offerings (IPOs)?," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 36(1‐2), pages 130-160, January.
    41. Michael Eames, 2008. "Discussion of The Impact of Analysts' Forecast Errors and Forecast Revisions on Stock Prices," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 35(5‐6), pages 741-747, June.
    42. Bartram, Söhnke M. & Grinblatt, Mark, 2021. "Global market inefficiencies," Journal of Financial Economics, Elsevier, vol. 139(1), pages 234-259.
    43. Jiyeon Yoo & Sangryul Lee & Sambock Park, 2019. "The Effect of Firm Life Cycle on the Relationship between R&D Expenditures and Future Performance, Earnings Uncertainty, and Sustainable Growth," Sustainability, MDPI, vol. 11(8), pages 1-19, April.
    44. Bolliger, Guido, 2004. "The characteristics of individual analysts' forecasts in Europe," Journal of Banking & Finance, Elsevier, vol. 28(9), pages 2283-2309, September.

  32. Y. CHEN & J. Liu & L. Chen & Q. Chen & L. Chan, 1998. "Global Seismic Hazard Assessment Based on Area Source Model and Seismicity Data," 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. 17(3), pages 251-267, May.

    Cited by:

    1. G. Berz & W. Kron & T. Loster & E. Rauch & J. Schimetschek & J. Schmieder & A. Siebert & A. Smolka & A. Wirtz, 2001. "World Map of Natural Hazards – A Global View of the Distribution and Intensity of Significant Exposures," 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. 23(2), pages 443-465, March.
    2. Chen Yong & Chen Qi-fu & Chen Ling, 2001. "Vulnerability Analysis in Earthquake Loss Estimate," 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. 23(2), pages 349-364, March.
    3. Chen Yong & Chen Ling & Federico Güendel & Ota Kulhánek & Li Juan, 2002. "Seismic Hazard and Loss Estimation for Central America," 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. 25(2), pages 161-175, February.

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