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Competitive Learning in Yardstick Competition: Testing Models of Policy Diffusion With Performance Data*

Published online by Cambridge University Press:  12 June 2013

Hugh Ward  and
Peter John
Hugh Ward
Affiliation:
Department of Government, University of Essex
Peter John
Affiliation:
School of Public Policy, University College
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Abstract

Organizations that learn from others’ successful policies not only become more competitive because their policies improve but also avoid the costs of policy innovation. While economists have widely recognized latecomer advantage, the policy diffusion literature in political science has failed to emphasize the connection between learning and competition. This article distinguishes competitive learning from learning that is not driven by competitive pressure (that is, ‘pure learning’). It models policy diffusion as a game played on social networks that govern competitive pressure and the possibilities of information transfer. The article develops an empirical test for competitive learning using spatial lags, which are applied to data on the performance of larger English local authorities from 2002 to 2006. Evidence is found for both competitive learning and pure learning. The sharper distinction between causal mechanisms proposed in this article should be widely applicable to diffusion across international boundaries and sub-national units.

Type
Original Articles
Information
Political Science Research and Methods , Volume 1 , Issue 1 , June 2013 , pp. 3 - 25
Copyright
Copyright © The European Political Science Association 2013 

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Footnotes

*

Hugh Ward is Professor, Department of Government, University of Essex, Wivenhoe Park, Colchester, CO4 3SQ (hugh@essex.ac.uk). Peter John is Professor, School of Public Policy, University College, The Rubin Building, 29/30 Tavistock Square, London, WC1H 9QU (peter.john@ucl.ac.uk). The authors would like to thank Jude Hays, Thomas Pluemper and the journal's referees and editor, Vera Troeger. An online appendix is available at http://dx.doi.org/10.1017/psrm.2013.4.

References

Andrews, Rhys, Boyne, George A., Law, JenniferWalker, Richard M.. 2005. ‘External Constraints on Local Service Standards: The Case of Comprehensive Performance Assessment in English Local Government’. Public Administration 83(3):639–656.Google Scholar
Anselin, Luc. 1988. Spatial Econometrics: Methods and Models. Dordrecht: Kluwer.Google Scholar
Audit Commission. 2002. The Final CPA Assessment Framework for Single Tier and County Councils. London: Audit Commission.Google Scholar
Austen-Smith, David. 1997. ‘Interest Groups: Money, Information and Influence’. In Perspectives in Public Choice, edited by Dennis C. Mueller, 296–321. Cambridge: Cambridge University Press.Google Scholar
Bailey, MichaelRom, Mark. 2004. ‘A Wider Race? Interstate Competition Across Health and Welfare Programs’. Journal of Politics 66(2):326–347.Google Scholar
Bala, VenkateshGoyal, Sanjeev. 2001. ‘Conformism and Diversity under Social Learning’. Economic Theory 17(1):101–120.Google Scholar
Ballester, Coralio, Calvó-Armengol, AntoniZenou, Yves. 2006. ‘Who's Who in Networks. Wanted: The Key Player’. Econometrica 74(5):1403–1417.CrossRefGoogle Scholar
Baybeck, Brady, Berry, William D.Siegel, David A.. 2011. ‘A Strategic Theory of Policy Diffusion via. Intergovernmental Competition’. Journal of Politics 73(1):232–247.Google Scholar
Beck, Nathaniel, Gleditsch, Kristian SkredeBeardsley, Kyle. 2006. ‘Space Is More than Geography: Using Spatial Econometrics in the Study of Political Economy’. International Studies Quarterly 50(1):27–44.Google Scholar
Berry, Frances StokesBerry, William D.. 1990. ‘State Lottery Adoptions as Policy Innovations: An Event History Analysis’. American Political Science Review 84(2):395–415.Google Scholar
Besley, TimCase, Anne. 1995. ‘Incumbent Behavior: Vote Seeking, Tax Setting and Yardstick Competition’. American Economic Review 85(1):25–45.Google Scholar
Boyne, George A., James, Oliver, John, PeterPetrovsky, Nicolai. 2012. ‘Party Control, Party Competition and Public Service Performance’. British Journal of Political Science 42(3):641–660.CrossRefGoogle Scholar
Bramoullé, Yann, Kranton, Rachel, D'Amours, Martin 2010. Strategic Interaction and Networks. CIRPÉE Working Paper 10–18.Google Scholar
Brooks, Sarah M. 2005. ‘Interdependent and Domestic Foundations of Policy Change: The Diffusion of Pension Privatization Around the World’. International Studies Quarterly 49(3):273–294.Google Scholar
Brueckner, Jan K. 2003. ‘Strategic Interaction Among Governments: An Overview of Empirical Studies’. International Regional Science Review 26(2):175–188.Google Scholar
Burt, Ronald S. 1987. ‘Social Contagion and Innovation: Cohesion Versus Structural Equivalence’. American Journal of Sociology 92(6):1287–1335.CrossRefGoogle Scholar
Cao, Xun. 2010. ‘Networks As Channels of Policy Diffusion: Explaining Worldwide Changes in Capital Taxation, 1998–2006’. International Studies Quarterly 54(3):823–854.Google Scholar
Clarke, Kevin A. 2007. ‘A Simple Distribution-Free Test for Nonnested Hypotheses’. Political Analysis 15(3):347–363.Google Scholar
Corbo, Jacomo, Calvó-Armengol, Antoni, Parkes., David C. 2007. The Importance of Network Topology in Local Contribution Games. Unpublished.Google Scholar
Elhorst, J. Paul. 2001. ‘Dynamic Models in Space and Time’. Geographical Analysis 32(2):119–140.Google Scholar
Elkins, Zachary, Guzman, Andrew T.Simmons, Beth A.. 2006. ‘Competing for Capital: the Diffusion of Bilateral Investment Treaties, 1960–2000’. International Organization 60(4):811–846.Google Scholar
Fagerberg, JanGodhino, Manuel M.. 2005. Innovation and Catching-Up. In The Oxford Handbook of Innovation, edited by Jan Fagerberg, David C. Mowery, and Richard R. Nelson, 514–543. Oxford: Oxford University Press.Google Scholar
Fotheringham, A. Stewart, Brunsdon, ChrisCharlton, Martin. 2002. Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Hoboken, NJ: John Wiley & Sons.Google Scholar
Franzese, Robert J.Hays, Jude C.. 2007a. ‘Spatial-Econometric Models of Cross-Sectional Interdependence in Political-Science Panel and Time-Series-Cross-Section Data’. Political Analysis 15(2):140–164.Google Scholar
Franzese, Robert J., Hays, Jude C. 2007b. Spatial Interdependence in Comparative Politics: Theoretical and Empirical Model Specifications, Estimation, Interpretation, and Presentation. Working paper.Google Scholar
Franzese, Robert J.Hays, Jude C.. 2008. ‘Interdependence in Comparative Politics: Substance, Theory, Empirics, Substance’. Comparative Political Studies 41(4/5):742–780.Google Scholar
Freeman, Linton C. 1978/9. ‘Centrality in Social Networks: Conceptual Clarification’. Social Networks 1(1):215–239.Google Scholar
Galeotti, Andrea, Goyal, Sanjeev, Jackson, Matthew O., Vega-Redondo, FernandoYariv, Leeat. 2010. ‘Network Games’. Review of Economic Studies 77(1):218–244.CrossRefGoogle Scholar
Gilardi, Fabrizio. 2005. ‘Agencies in Western Europe The Institutional Foundations of Regulatory Capitalism: The Diffusion of Independent Regulatory Agencies in Western Europe’. Annals of the American Academy of Political and Social Science 598:84–101.Google Scholar
Gilardi, Fabrizio. 2010. ‘Who Learns from What in Policy Diffusion Processes?’ American Journal of Political Science 54(3):650–666.CrossRefGoogle Scholar
Goyal, Sanjeev. 2007. Connections: An Introduction to the Economics of Networks. Princeton, NJ: Princeton University Press.Google Scholar
Goyal, SanjeevMoraga-Gonzalez, Jose L.. 2001. ‘R&D Networks’. Rand Journal of Economics 32(4):686–707.Google Scholar
Graham, Erin, Volden, Charles R.Shipan, Craig. 2013. ‘The Diffusion of Policy Diffusion Research’. British Journal of Political Science forthcoming.Google Scholar
Guler, Isin, Guillen, Mauro F.Macpherson, John Muir. 2002. ‘Global Competition, Institutions, and the Diffusion of Organizational Practices: The International Spread of ISO 9000 Quality Certificates’. Administrative Science Quarterly 47(2):207–232.Google Scholar
Haubrich, DirkMcLean, Iain S.. 2006. ‘Assessing Public Service Performance in Local Authorities Through CPA: A Research Note on Deprivation’. National Institute Economic Review 197:93–105.Google Scholar
Hays, Jude C. 2009. Globalization and the New Politics of Embedded Liberalism. Oxford: Oxford University Press.Google Scholar
Huggins, Robert. 2003. ‘Creating a Local Competitiveness Index: Regional and Local Benchmarking’. Regional Studies 37(1):89–96.Google Scholar
James, OliverJohn, Peter. 2007. ‘Public Management at the Ballot Box: Performance Information and Electoral Support for Incumbent English Local Governments’. Journal of Public Administration Research and Theory 17(4):567–580.Google Scholar
Lee, ChangStrang, David. 2006. ‘The International Diffusion of Public-Sector Downsizing: Network Emulation and Theory-Driven Learning’. International Organization 60(4):883–909.Google Scholar
Meseguer, CovadongaGilardi, Fabrizio. 2009. ‘What is New in the Study of Policy Diffusion?’ Review of International Political Economy 16(3):527–543.Google Scholar
Nicholson-Crotty, Sean. 2009. ‘The Politics of Diffusion: Public Policy in the American States’. Journal of Politics 71(2):192–205.Google Scholar
Perkins, RichardNeumayer, Eric. 2005. ‘The International Diffusion of New Technologies: A Multitechnology Analysis of Latecomer Advantage and Global Economic Integration’. Annals of the Association of American Geographers 95(4):789–808.Google Scholar
Plümper, ThomasNeumayer, Eric. 2010. ‘Model Specification in the Analysis of Spatial Dependence’. European Journal of Political Research 49(3):418–442.CrossRefGoogle Scholar
Rogers, Everett. 2005. Diffusion of Innovation 5th Edition. New York: Free Press.Google Scholar
Shipan, Charles R.Volden, Craig. 2008. ‘The Mechanisms of Policy Diffusion’. American Journal of Political Science 52(4):840–852.Google Scholar
Simmons, Beth A., Dobbin, FrankGarrett, Geoffrey. 2006. ‘Introduction: The International Diffusion of Liberalism’. International Organization 60(4):781–810.Google Scholar
Simmons, Beth A., Dobbin, FrankGarrett, Geoffrey. 2008. The Global Diffusion of Markets and Democracy. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Simmons, Beth A.Elkins, Zachary. 2004. ‘The Globalization of Liberalization: Policy Diffusion in the International Political Economy’. American Political Science Review 98(1):171–189.Google Scholar
Swank, Duane. 2006. ‘Tax Policy in an Era of Internationalization: Explaining the Spread of Neoliberalism’. International Organization 60(4):847–882.Google Scholar
Valente, Thomas W. 1995. Network Models in the Diffusion of Innovations. Cresskill, NJ: Hampton.Google Scholar
Volden, Craig, Ting, Michael M.Carpenter, Daniel P.. 2008. ‘A Formal Model of Learning and Policy Diffusion’. American Political Science Review 102(3):319–332.Google Scholar
Walker, Jack L. 1969. ‘The Diffusion of Innovations Among the American States’. American Political Science Review 63(3):880–899.CrossRefGoogle Scholar
Ward, Michael D., Siverson, Randolph M.Cao, Xun. 2007. ‘Disputes, Democracies, and Dependencies: A Reexamination of the Kantian Peace’. American Journal of Political Science 51(3):583–601.Google Scholar
Zhan, Xingzhi. 2006. ‘Extremal Eigenvalues of Real Symmetric Matrices With Entries In An Interval’. SIAM Journal of Matrix Analysis Applications 27(3):851–860.CrossRefGoogle Scholar
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