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Mark P. Bowden

Personal Details

First Name:Mark
Middle Name:P.
Last Name:Bowden
Suffix:
RePEc Short-ID:pbo775
http://mark-bowden.bigpondhosting.com/

Affiliation

School of Business, Law and Entrepreneurship
Swinburne University of Technology

Melbourne, Australia
https://www.swinburne.edu.au/about/our-structure/organisational-structure/schools-departments/school-business-law-entrepreneurship/
RePEc:edi:scswiau (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Mark Bowden & Stuart McDonald, 2006. "Social interaction, herd behaviour and the formation of agent expectations," Computing in Economics and Finance 2006 178, Society for Computational Economics.

Articles

  1. Valadkhani, Abbas & Nguyen, Jeremy & Bowden, Mark, 2019. "Pathways to reduce CO2 emissions as countries proceed through stages of economic development," Energy Policy, Elsevier, vol. 129(C), pages 268-278.
  2. Subhash Abhayawansa & Mark Bowden & Soma Pillay, 2017. "Students’ conceptions of learning in the context of an accounting degree," Accounting Education, Taylor & Francis Journals, vol. 26(3), pages 213-241, May.
  3. Mark Bowden, 2015. "A model of information flows and confirmatory bias in financial markets," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 38(2), pages 197-215, October.
  4. Bowden, Mark P., 2012. "Information contagion within small worlds and changes in kurtosis and volatility in financial prices," Journal of Macroeconomics, Elsevier, vol. 34(2), pages 553-566.
  5. Bowden, Mark P. & Doughney, James, 2012. "The importance of cultural and economic influences behind the decision to attend higher education," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 41(1), pages 95-103.
  6. Mark Bowden & Stuart McDonald, 2008. "The Impact of Interaction and Social Learning on Aggregate Expectations," Computational Economics, Springer;Society for Computational Economics, vol. 31(3), pages 289-306, April.

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. Mark Bowden & Stuart McDonald, 2006. "Social interaction, herd behaviour and the formation of agent expectations," Computing in Economics and Finance 2006 178, Society for Computational Economics.

    Cited by:

    1. Bell, William Paul, 2008. "Adaptive interactive profit expectations using small world networks and runtime weighted model averaging," MPRA Paper 38027, University Library of Munich, Germany.
    2. Bell, William Paul, 2008. "Adaptive Interactive Profit Expectations and Small World Networks," MPRA Paper 37924, University Library of Munich, Germany.
    3. Bell, William Paul, 2009. "Network Averaging: a technique for determining a proxy for the dynamics of networks," MPRA Paper 38026, University Library of Munich, Germany.
    4. Andreas Pyka & Uwe Cantner & Alfred Greiner & Thomas Kuhn (ed.), 2009. "Recent Advances in Neo-Schumpeterian Economics," Books, Edward Elgar Publishing, number 12982.

Articles

  1. Valadkhani, Abbas & Nguyen, Jeremy & Bowden, Mark, 2019. "Pathways to reduce CO2 emissions as countries proceed through stages of economic development," Energy Policy, Elsevier, vol. 129(C), pages 268-278.

    Cited by:

    1. Liu, Jin & Tian, Jiayu & Lyu, Wenjing & Yu, Yitian, 2022. "The impact of COVID-19 on reducing carbon emissions: From the angle of international student mobility," Applied Energy, Elsevier, vol. 317(C).
    2. Mark Agyei-Sakyi & Yunfei Shao & Oppong Amos & Armah Marymargaret, 2021. "Determinants of Electricity Consumption and Volatility-Driven Innovative Roadmaps to One Hundred Percent Renewables for Top Consuming Nations in Africa," Sustainability, MDPI, vol. 13(11), pages 1-22, June.
    3. Alireza Eslami Majd & Fideline Tchuenbou-Magaia & Agnero M. Meless & David S. Adebayo & Nduka Nnamdi Ekere, 2023. "A Review on Cooling Systems for Portable Energy Storage Units," Energies, MDPI, vol. 16(18), pages 1-23, September.
    4. Khan Rabnawaz & Kong YuSheng, 2020. "Effects of Energy Consumption on GDP: New Evidence of 24 Countries on Their Natural Resources and Production of Electricity," Ekonomika (Economics), Sciendo, vol. 99(1), pages 26-49, June.
    5. Pan, Xianyou & Song, Malin & Wang, Yuqing & Shen, Zhiyang & Song, Jinbo & Xie, Pinjie & Pan, Xiongfeng, 2022. "Liability accounting of natural resource assets from the perspective of input Slack—An analysis based on the energy resource in 282 prefecture-level cities in China," Resources Policy, Elsevier, vol. 78(C).
    6. Rundong Luo & Sami Ullah & Kishwar Ali, 2021. "Pathway towards Sustainability in Selected Asian Countries: Influence of Green Investment, Technology Innovations, and Economic Growth on CO2 Emission," Sustainability, MDPI, vol. 13(22), pages 1-19, November.
    7. Kiss, Tibor & Popovics, Steve, 2021. "Evaluation on the effectiveness of energy policies – Evidence from the carbon reductions in 25 countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).

  2. Subhash Abhayawansa & Mark Bowden & Soma Pillay, 2017. "Students’ conceptions of learning in the context of an accounting degree," Accounting Education, Taylor & Francis Journals, vol. 26(3), pages 213-241, May.

    Cited by:

    1. Apostolou, Barbara & Dorminey, Jack W. & Hassell, John M. & Rebele, James E., 2018. "Accounting education literature review (2017)," Journal of Accounting Education, Elsevier, vol. 43(C), pages 1-23.

  3. Mark Bowden, 2015. "A model of information flows and confirmatory bias in financial markets," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 38(2), pages 197-215, October.

    Cited by:

    1. Cafferata, Alessia & Tramontana, Fabio, 2019. "A financial market model with confirmation bias," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 252-259.
    2. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, December.
    3. Alexander Harin, 2022. "Forbidden Zones for the Expectations of Data: New Mathematical Methods and Models for Behavioral Economics," Academic Journal of Applied Mathematical Sciences, Academic Research Publishing Group, vol. 8(1), pages 12-26, 12-2021.
    4. Qingchong Chen & Xiong Xiong & Ya Gao, 2021. "Is information really efficient for the market? Evidence of confirmatory bias in China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(5), pages 5965-5997, December.
    5. Harin, Alexander, 2021. "Behavioral economics. Forbidden zones. New method and models," MPRA Paper 106545, University Library of Munich, Germany.

  4. Bowden, Mark P., 2012. "Information contagion within small worlds and changes in kurtosis and volatility in financial prices," Journal of Macroeconomics, Elsevier, vol. 34(2), pages 553-566.

    Cited by:

    1. Theophilos Papadimitriou & Periklis Gogas & Georgios Sarantitis, 2016. "Convergence of European Business Cycles: A Complex Networks Approach," Computational Economics, Springer;Society for Computational Economics, vol. 47(2), pages 97-119, February.
    2. Mark Bowden, 2015. "A model of information flows and confirmatory bias in financial markets," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 38(2), pages 197-215, October.
    3. Zhao, Laijun & Wang, Jiajia & Huang, Rongbing & Cui, Hongxin & Qiu, Xiaoyan & Wang, Xiaoli, 2014. "Sentiment contagion in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 394(C), pages 17-23.

  5. Bowden, Mark P. & Doughney, James, 2012. "The importance of cultural and economic influences behind the decision to attend higher education," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 41(1), pages 95-103.

    Cited by:

    1. Shu Wang & Xiao Yu & Kuo Zhang & Jipeng Pei & Karlis Rokpelnis & Xuelong Wang, 2022. "How does education affect intergenerational income mobility in Chinese society?," Review of Development Economics, Wiley Blackwell, vol. 26(2), pages 774-792, May.
    2. Lee Pugalis & Anna Round & Tony Blackwood & Lucy Hatt, 2015. "The entrepreneurial middle ground: Higher education entry decisions of aspiring entrepreneurs," Local Economy, London South Bank University, vol. 30(5), pages 503-519, August.

  6. Mark Bowden & Stuart McDonald, 2008. "The Impact of Interaction and Social Learning on Aggregate Expectations," Computational Economics, Springer;Society for Computational Economics, vol. 31(3), pages 289-306, April.

    Cited by:

    1. Alfarano Simone & Milakovic Mishael, 2012. "Identification of Interaction Effects in Survey Expectations: A Cautionary Note," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(4), pages 1-23, October.
    2. Bell, William Paul, 2009. "Adaptive interactive expectations: dynamically modelling profit expectations," MPRA Paper 38260, University Library of Munich, Germany, revised 09 Feb 2010.
    3. Huan Liu & Weiqi Liu & Yi Li, 2022. "Private Information Dissemination and Noise Trading: Implications for Price Efficiency and Market Liquidity," Sustainability, MDPI, vol. 14(18), pages 1-19, September.
    4. Mark Bowden, 2015. "A model of information flows and confirmatory bias in financial markets," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 38(2), pages 197-215, October.
    5. Bowden, Mark P., 2012. "Information contagion within small worlds and changes in kurtosis and volatility in financial prices," Journal of Macroeconomics, Elsevier, vol. 34(2), pages 553-566.

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