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Philip J. Mizzi

Personal Details

First Name:Philip
Middle Name:J.
Last Name:Mizzi
Suffix:
RePEc Short-ID:pmi842
[This author has chosen not to make the email address public]

Affiliation

Department of Economics
W.P. Carey School of Business
Arizona State University

Tempe, Arizona (United States)
http://wpcarey.asu.edu/ecn/
RePEc:edi:deasuus (more details at EDIRC)

Research output

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Jump to: Articles

Articles

  1. Pang-Tien Lieu & Chinkun Chang & Philip Mizzi, 2013. "Estimating the true cost of living for households with different incomes using data from Taiwan," Applied Economics, Taylor & Francis Journals, vol. 45(21), pages 3011-3023, July.
  2. Mohan, S. & Gopalakrishnan, M. & Mizzi, P.J., 2013. "Improving the efficiency of a non-profit supply chain for the food insecure," International Journal of Production Economics, Elsevier, vol. 143(2), pages 248-255.
  3. Stein, William E. & Mizzi, Philip J., 2007. "The harmonic consistency index for the analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 177(1), pages 488-497, February.
  4. William Stein & Philip Mizzi, 2003. "An analysis of exotic wagers in a parimutuel setting," Applied Economics, Taylor & Francis Journals, vol. 35(4), pages 415-421.
  5. Stein, William E. & Mizzi, Philip J. & Pfaffenberger, Roger C., 1994. "A stochastic dominance analysis of ranked voting systems with scoring," European Journal of Operational Research, Elsevier, vol. 74(1), pages 78-85, April.
  6. Stein, William E. & Pfaffenberger, Roger C. & Mizzi, Philip J., 1993. "A stochastic dominance comparison of truncated normal distributions," European Journal of Operational Research, Elsevier, vol. 67(2), pages 259-266, June.
  7. Lieu, Pang Tien & Mizzi, Philip J. & White, Stephen N., 1992. "Consumer demand with variable preferences in taiwan: an application of the generalized Fechner-Thurstone direct utility function," Journal of Asian Economics, Elsevier, vol. 3(2), pages 281-294.
  8. Mizzi, Philip J. & Maurice, S. Charles & Anders, Gerhard & Maurice, S. Charles & Maurice, S. Charles, 1987. "The nickel industry : Continued response to a changing environment," Resources Policy, Elsevier, vol. 13(1), pages 35-46, March.

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.

Articles

  1. Mohan, S. & Gopalakrishnan, M. & Mizzi, P.J., 2013. "Improving the efficiency of a non-profit supply chain for the food insecure," International Journal of Production Economics, Elsevier, vol. 143(2), pages 248-255.

    Cited by:

    1. Reusken, Meike & Cruijssen, Frans & Fleuren, Hein, 2023. "A food bank supply chain model: Optimizing investments to maximize food assistance," International Journal of Production Economics, Elsevier, vol. 261(C).
    2. Li, Linda & Firouz, Mohammad & Ahmed, Abdulaziz & Delen, Dursun, 2023. "On the Egalitarian–Utilitarian spectrum in stochastic capacitated resource allocation problems," International Journal of Production Economics, Elsevier, vol. 262(C).
    3. Davis, Lauren B. & Jiang, Steven X. & Morgan, Shona D. & Nuamah, Isaac A. & Terry, Jessica R., 2016. "Analysis and prediction of food donation behavior for a domestic hunger relief organization," International Journal of Production Economics, Elsevier, vol. 182(C), pages 26-37.
    4. Martins, C.L. & Melo, M.T. & Pato, M.V., 2019. "Redesigning a food bank supply chain network in a triple bottom line context," International Journal of Production Economics, Elsevier, vol. 214(C), pages 234-247.
    5. Sengul Orgut, Irem & Ivy, Julie S. & Uzsoy, Reha & Hale, Charlie, 2018. "Robust optimization approaches for the equitable and effective distribution of donated food," European Journal of Operational Research, Elsevier, vol. 269(2), pages 516-531.
    6. Akkerman, Renzo & Buisman, Marjolein & Cruijssen, Frans & de Leeuw, Sander & Haijema, Rene, 2023. "Dealing with donations: Supply chain management challenges for food banks," International Journal of Production Economics, Elsevier, vol. 262(C).
    7. Kaitlin M. Daniels & León Valdés, 2021. "Trying and Failing: Biases in Donor Aversion to Rejection," Production and Operations Management, Production and Operations Management Society, vol. 30(12), pages 4356-4373, December.
    8. Rombach, Meike & Bitsch, Vera, 2018. "Sector blending: evidence from the German Food Bank," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 21(2), March.
    9. Amir Hossein Sadeghi & Ziyuan Sun & Amirreza Sahebi-Fakhrabad & Hamid Arzani & Robert Handfield, 2023. "A Mixed-Integer Linear Formulation for a Dynamic Modified Stochastic p-Median Problem in a Competitive Supply Chain Network Design," Logistics, MDPI, vol. 7(1), pages 1-24, March.
    10. Martins, C. L. & Melo, Teresa & Pato, Margarida Vaz, 2016. "Redesigning a food bank supply chain network, Part I: Background and mathematical formulation," Technical Reports on Logistics of the Saarland Business School 10, Saarland University of Applied Sciences (htw saar), Saarland Business School.
    11. Lee, Deishin & Sönmez, Erkut & Gómez, Miguel I. & Fan, Xiaoli, 2017. "Combining two wrongs to make two rights: Mitigating food insecurity and food waste through gleaning operations," Food Policy, Elsevier, vol. 68(C), pages 40-52.
    12. Martins, C.L. & Pato, M.V., 2024. "Decomposition heuristics for multiobjective problems. The Food bank network redesign case," International Journal of Production Economics, Elsevier, vol. 268(C).
    13. Govindan, K. & Jafarian, A. & Khodaverdi, R. & Devika, K., 2014. "Two-echelon multiple-vehicle location–routing problem with time windows for optimization of sustainable supply chain network of perishable food," International Journal of Production Economics, Elsevier, vol. 152(C), pages 9-28.
    14. Byrne, Anne T. & Just, David R., 2022. "Review: Private food assistance in high income countries: A guide for practitioners, policymakers, and researchers," Food Policy, Elsevier, vol. 111(C).
    15. Rafiei, Rezvan & Huang, Kai & Verma, Manish, 2022. "Cash versus in-kind transfer programs in humanitarian operations: An optimization program and a case study," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    16. Mahmoudi, Monirehalsadat & Shirzad, Khadijeh & Verter, Vedat, 2022. "Decision support models for managing food aid supply chains: A systematic literature review," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    17. Gholami-Zanjani, Seyed Mohammad & Klibi, Walid & Jabalameli, Mohammad Saeed & Pishvaee, Mir Saman, 2021. "The design of resilient food supply chain networks prone to epidemic disruptions," International Journal of Production Economics, Elsevier, vol. 233(C).
    18. Barιş Ata & Deishin Lee & Erkut Sönmez, 2019. "Dynamic Volunteer Staffing in Multicrop Gleaning Operations," Operations Research, INFORMS, vol. 67(2), pages 295-314, March.
    19. Iana Shaheen & Arash Azadegan & Donna F. Davis, 2023. "Resource Scarcity and Humanitarian Social Innovation: Observations from Hunger Relief in the Context of the COVID-19 Pandemic," Journal of Business Ethics, Springer, vol. 182(3), pages 597-617, January.
    20. Marc Juanpera & Judit M. Fernández-Novell & Albert Soler-Noguera & Maria Antonia De los Santos & Daniel Carpintero & Laia Ferrer-Martí & Rafael Pastor, 2022. "Procedure for an Effective Quick and Targeted Distribution of Product to Final Beneficiaries by a Social Food Bank," Sustainability, MDPI, vol. 14(20), pages 1-15, October.
    21. Hanieh Shekarabi & Mohammad Mahdi Vali-Siar & Ashkan Mozdgir, 2024. "Food supply chain network design under uncertainty and pandemic disruption," Operational Research, Springer, vol. 24(2), pages 1-37, June.
    22. Wang, Yingli & Touboulic, Anne & O'Neill, Martin, 2018. "An exploration of solutions for improving access to affordable fresh food with disadvantaged Welsh communities," European Journal of Operational Research, Elsevier, vol. 268(3), pages 1021-1039.
    23. Pérez, Eduardo & Marthak, Yash V. & Méndez Mediavilla, Francis A., 2023. "Analysis and forecast of donations at domestic hunger relief organizations impacted by natural disasters," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    24. Tanzid Hasnain & Irem Sengul Orgut & Julie Simmons Ivy, 2021. "Elicitation of Preference among Multiple Criteria in Food Distribution by Food Banks," Production and Operations Management, Production and Operations Management Society, vol. 30(12), pages 4475-4500, December.
    25. Liao, Haiyan & Holguín-Veras, José & Calderón, Oriana, 2023. "Comparative analysis of the performance of humanitarian logistic structures using agent-based simulation," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    26. Fianu, Sefakor & Davis, Lauren B., 2018. "A Markov decision process model for equitable distribution of supplies under uncertainty," European Journal of Operational Research, Elsevier, vol. 264(3), pages 1101-1115.
    27. Altay, Nezih & Narayanan, Arunachalam, 2022. "Forecasting in humanitarian operations: Literature review and research needs," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1234-1244.
    28. Singha Mahapatra, Maheswar & Mahanty, Biswajit, 2020. "Policies for managing peak stock of food grains for effective distribution: A case of the Indian food program," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    29. Biswal, Arun Kumar & Jenamani, Mamata & Kumar, Sri Krishna, 2018. "Warehouse efficiency improvement using RFID in a humanitarian supply chain: Implications for Indian food security system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 109(C), pages 205-224.

  2. Stein, William E. & Mizzi, Philip J., 2007. "The harmonic consistency index for the analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 177(1), pages 488-497, February.

    Cited by:

    1. Kułakowski, Konrad, 2018. "Inconsistency in the ordinal pairwise comparisons method with and without ties," European Journal of Operational Research, Elsevier, vol. 270(1), pages 314-327.
    2. Jones, Steven & Tefe, Moses & Appiah-Opoku, Seth, 2013. "Proposed framework for sustainability screening of urban transport projects in developing countries: A case study of Accra, Ghana," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 21-34.
    3. Chin-Yi Chen & Jih-Jeng Huang, 2022. "Deriving Fuzzy Weights from the Consistent Fuzzy Analytic Hierarchy Process," Mathematics, MDPI, vol. 10(19), pages 1-12, September.
    4. Juan Aguarón & María Teresa Escobar & José María Moreno-Jiménez & Alberto Turón, 2020. "The Triads Geometric Consistency Index in AHP-Pairwise Comparison Matrices," Mathematics, MDPI, vol. 8(6), pages 1-17, June.
    5. Mohd. Sadiq & Mohd. Sadim & Azra Parveen, 2021. "Applying statistical approach to check the consistency of pairwise comparison matrices during software requirements prioritization process," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(3), pages 451-460, June.
    6. József Temesi, 2011. "Pairwise comparison matrices and the error-free property of the decision maker," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 19(2), pages 239-249, June.
    7. Guoyi Wei & Zhao Yang & Chaozhong Liang & Xuewei Yang & Shuiming Zhang, 2022. "Urban Lake Scenic Protected Area Zoning Based on Ecological Sensitivity Analysis and Remote Sensing: A Case Study of Chaohu Lake Basin, China," Sustainability, MDPI, vol. 14(20), pages 1-17, October.
    8. Rudimar Caricimi & Géremi Gilson Dranka & Dalmarino Setti & Paula Ferreira, 2022. "Reframing the Selection of Hydraulic Turbines Integrating Analytical Hierarchy Process (AHP) and Fuzzy VIKOR Multi-Criteria Methods," Energies, MDPI, vol. 15(19), pages 1-26, October.
    9. Matteo Brunelli & Luisa Canal & Michele Fedrizzi, 2013. "Inconsistency indices for pairwise comparison matrices: a numerical study," Annals of Operations Research, Springer, vol. 211(1), pages 493-509, December.
    10. Changsheng Lin & Gang Kou & Daji Ergu, 2013. "An improved statistical approach for consistency test in AHP," Annals of Operations Research, Springer, vol. 211(1), pages 289-299, December.
    11. Oliveira, Gilson Adamczuk & Tan, Kim Hua & Guedes, Bruno Turmina, 2018. "Lean and green approach: An evaluation tool for new product development focused on small and medium enterprises," International Journal of Production Economics, Elsevier, vol. 205(C), pages 62-73.
    12. Li, Kevin W. & Wang, Zhou-Jing & Tong, Xiayu, 2016. "Acceptability analysis and priority weight elicitation for interval multiplicative comparison matrices," European Journal of Operational Research, Elsevier, vol. 250(2), pages 628-638.
    13. Jiří Mazurek, 2018. "Some notes on the properties of inconsistency indices in pairwise comparisons," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 28(1), pages 27-42.
    14. Szybowski, Jacek & Kułakowski, Konrad & Prusak, Anna, 2020. "New inconsistency indicators for incomplete pairwise comparisons matrices," Mathematical Social Sciences, Elsevier, vol. 108(C), pages 138-145.
    15. László Csató, 2018. "Characterization of an inconsistency ranking for pairwise comparison matrices," Annals of Operations Research, Springer, vol. 261(1), pages 155-165, February.
    16. Wu-E Yang & Chao-Qun Ma & Zhi-Qiu Han & Wen-Jun Chen, 2016. "Checking and adjusting order-consistency of linguistic pairwise comparison matrices for getting transitive preference relations," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 38(3), pages 769-787, July.
    17. Yuji Sato & Kim Hua Tan, 2023. "Inconsistency indices in pairwise comparisons: an improvement of the Consistency Index," Annals of Operations Research, Springer, vol. 326(2), pages 809-830, July.
    18. Liu Fang & Peng Yanan & Zhang Weiguo & Pedrycz Witold, 2017. "On Consistency in AHP and Fuzzy AHP," Journal of Systems Science and Information, De Gruyter, vol. 5(2), pages 128-147, April.
    19. Brunelli, Matteo & Fedrizzi, Michele, 2024. "Inconsistency indices for pairwise comparisons and the Pareto dominance principle," European Journal of Operational Research, Elsevier, vol. 312(1), pages 273-282.
    20. Maria Urbaniec & Mariusz Sołtysik & Anna Prusak & Konrad Kułakowski & Magdalena Wojnarowska, 2022. "Fostering sustainable entrepreneurship by business strategies: An explorative approach in the bioeconomy," Business Strategy and the Environment, Wiley Blackwell, vol. 31(1), pages 251-267, January.
    21. Kou, Gang & Lin, Changsheng, 2014. "A cosine maximization method for the priority vector derivation in AHP," European Journal of Operational Research, Elsevier, vol. 235(1), pages 225-232.
    22. Liu, Fang & Zou, Shu-Cai & Li, Qing, 2020. "Deriving priorities from pairwise comparison matrices with a novel consistency index," Applied Mathematics and Computation, Elsevier, vol. 374(C).
    23. Matteo Brunelli, 2017. "Studying a set of properties of inconsistency indices for pairwise comparisons," Annals of Operations Research, Springer, vol. 248(1), pages 143-161, January.
    24. Brunelli, Matteo & Fedrizzi, Michele, 2015. "Boundary properties of the inconsistency of pairwise comparisons in group decisions," European Journal of Operational Research, Elsevier, vol. 240(3), pages 765-773.
    25. Sangeeta Pant & Anuj Kumar & Mangey Ram & Yury Klochkov & Hitesh Kumar Sharma, 2022. "Consistency Indices in Analytic Hierarchy Process: A Review," Mathematics, MDPI, vol. 10(8), pages 1-15, April.
    26. Gerzson Kéri, 2011. "On qualitatively consistent, transitive and contradictory judgment matrices emerging from multiattribute decision procedures," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 19(2), pages 215-224, June.
    27. Andrés Calizaya & Oliver Meixner & Lars Bengtsson & Ronny Berndtsson, 2010. "Multi-criteria Decision Analysis (MCDA) for Integrated Water Resources Management (IWRM) in the Lake Poopo Basin, Bolivia," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(10), pages 2267-2289, August.
    28. Siraj, Sajid & Mikhailov, Ludmil & Keane, John A., 2015. "Contribution of individual judgments toward inconsistency in pairwise comparisons," European Journal of Operational Research, Elsevier, vol. 242(2), pages 557-567.
    29. Silvia Bortot & Ricardo Alberto Marques Pereira, 2011. "Inconsistency and non-additive Choquet integration in the Analytic Hierarchy Process," DISA Working Papers 2011/06, Department of Computer and Management Sciences, University of Trento, Italy, revised 29 Jul 2011.

  3. William Stein & Philip Mizzi, 2003. "An analysis of exotic wagers in a parimutuel setting," Applied Economics, Taylor & Francis Journals, vol. 35(4), pages 415-421.

    Cited by:

    1. Lazar Pavić & Ivana Blešić & Marko D. Petrović & Milan M. Radovanović & Jernej Prišenk, 2019. "Can the Quality of Hospitality Services Play a Role in Sustainable Equestrian Tourism in Slovenia? Mediations, Effects, and Implications," Sustainability, MDPI, vol. 11(21), pages 1-12, November.

  4. Stein, William E. & Mizzi, Philip J. & Pfaffenberger, Roger C., 1994. "A stochastic dominance analysis of ranked voting systems with scoring," European Journal of Operational Research, Elsevier, vol. 74(1), pages 78-85, April.

    Cited by:

    1. Pishchulov, Grigory & Trautrims, Alexander & Chesney, Thomas & Gold, Stefan & Schwab, Leila, 2019. "The Voting Analytic Hierarchy Process revisited: A revised method with application to sustainable supplier selection," International Journal of Production Economics, Elsevier, vol. 211(C), pages 166-179.
    2. Csató, László, 2021. "Pontozási rendszerek szimulációs összehasonlítása [A simulatory comparison of the points systems]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 847-862.
    3. Raúl Pérez-Fernández & Bernard De Baets, 2017. "Recursive Monotonicity of the Scorix: Borda Meets Condorcet," Group Decision and Negotiation, Springer, vol. 26(4), pages 793-813, July.
    4. Bonifacio Llamazares & Teresa Peña, 2015. "Positional Voting Systems Generated by Cumulative Standings Functions," Group Decision and Negotiation, Springer, vol. 24(5), pages 777-801, September.
    5. Paolo Viappiani, 2020. "Robust Winner Determination in Positional Scoring Rules with Uncertain Weights," Post-Print hal-02373399, HAL.
    6. László Csató, 2023. "A comparative study of scoring systems by simulations," Journal of Sports Economics, , vol. 24(4), pages 526-545, May.
    7. Montes, Ignacio & Rademaker, Michael & Pérez-Fernández, Raúl & De Baets, Bernard, 2020. "A correspondence between voting procedures and stochastic orderings," European Journal of Operational Research, Elsevier, vol. 285(3), pages 977-987.
    8. Bonifacio Llamazares, 2016. "Ranking Candidates Through Convex Sequences of Variable Weights," Group Decision and Negotiation, Springer, vol. 25(3), pages 567-584, May.
    9. Paolo Viappiani, 2024. "Volumetric Aggregation Methods for Scoring Rules with Unknown Weights," Post-Print hal-04440153, HAL.
    10. Raúl Pérez-Fernández & Bernard De Baets, 2019. "The superdominance relation, the positional winner, and more missing links between Borda and Condorcet," Journal of Theoretical Politics, , vol. 31(1), pages 46-65, January.
    11. D. Marc Kilgour & Jean-Charles Grégoire & Angèle M. Foley, 2022. "Weighted scoring elections: is Borda best?," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 58(2), pages 365-391, February.
    12. Abbas, Ali E. & Hupman, Andrea C., 2023. "Scale dependence in weight and rate multicriteria decision methods," European Journal of Operational Research, Elsevier, vol. 309(1), pages 225-235.
    13. Aleksei Y. Kondratev & Alexander S. Nesterov, 2020. "Measuring majority power and veto power of voting rules," Public Choice, Springer, vol. 183(1), pages 187-210, April.
    14. Llamazares, Bonifacio & Peña, Teresa, 2013. "Aggregating preferences rankings with variable weights," European Journal of Operational Research, Elsevier, vol. 230(2), pages 348-355.
    15. Aleksei Yu. Kondratev & Alexander S. Nesterov, 2018. "Measuring Majority Tyranny: Axiomatic Approach," HSE Working papers WP BRP 194/EC/2018, National Research University Higher School of Economics.
    16. Hashimoto, Akihiro, 1997. "A ranked voting system using a DEA/AR exclusion model: A note," European Journal of Operational Research, Elsevier, vol. 97(3), pages 600-604, March.
    17. Paolo Viappiani, 2020. "Robust winner determination in positional scoring rules with uncertain weights," Theory and Decision, Springer, vol. 88(3), pages 323-367, April.
    18. L'aszl'o Csat'o, 2021. "A comparative study of scoring systems by simulations," Papers 2101.05744, arXiv.org, revised Jun 2022.
    19. Mostapha Diss & Eric Kamwa & Muhammad Mahajne, 2020. "Borda rule as an almost first-order stochastic dominance rule," Working Papers 2020-05, CRESE.
    20. Llamazares, Bonifacio & Pea, Teresa, 2009. "Preference aggregation and DEA: An analysis of the methods proposed to discriminate efficient candidates," European Journal of Operational Research, Elsevier, vol. 197(2), pages 714-721, September.

  5. Stein, William E. & Pfaffenberger, Roger C. & Mizzi, Philip J., 1993. "A stochastic dominance comparison of truncated normal distributions," European Journal of Operational Research, Elsevier, vol. 67(2), pages 259-266, June.

    Cited by:

    1. Jue Wang, 2021. "Optimal Bayesian Demand Learning over Short Horizons," Production and Operations Management, Production and Operations Management Society, vol. 30(4), pages 1154-1177, April.
    2. Levitin, Gregory & Xing, Liudong & Xiang, Yanping, 2021. "Minimization of Expected User Losses Considering Co-resident Attacks in Cloud System with Task Replication and Cancellation," Reliability Engineering and System Safety, Elsevier, vol. 214(C).

  6. Lieu, Pang Tien & Mizzi, Philip J. & White, Stephen N., 1992. "Consumer demand with variable preferences in taiwan: an application of the generalized Fechner-Thurstone direct utility function," Journal of Asian Economics, Elsevier, vol. 3(2), pages 281-294.

    Cited by:

    1. Lieu, Pang-Tien & Liang, Jung-Hui & Chen, Jui-Hui, 2008. "Consumer preferences and cost of living in Taiwan," Journal of Asian Economics, Elsevier, vol. 19(3), pages 224-235, June.

  7. Mizzi, Philip J. & Maurice, S. Charles & Anders, Gerhard & Maurice, S. Charles & Maurice, S. Charles, 1987. "The nickel industry : Continued response to a changing environment," Resources Policy, Elsevier, vol. 13(1), pages 35-46, March.

    Cited by:

    1. Ehrlich, Lars G., 2018. "What drives nickel prices: A structural VAR approach," HWWI Research Papers 186, Hamburg Institute of International Economics (HWWI).
    2. Kitney, Mike & Maxwell, Philip, 1996. "Supporting major new nickel developments: can Western Australia do it again?," Resources Policy, Elsevier, vol. 22(4), pages 347-358, December.

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