Learning mode misfits in policy learning: typology, case study and lessons learnt

References

• Argyris, C., & Schön, D. A. (1978). Organizational learning: A theory of action perspective. Addison-Wesley.
   Google Scholar
• Bandelow, N. C. (2008). Government learning in German and British European policies. JCMS: Journal of Common Market Studies, 46(4), 743–764. https://doi.org/10.1111/j.1468-5965.2008.00805.x
   Web of Science ®Google Scholar
• Bandelow, N. C., Vogeler, C. S., Hornung, J., Kuhlmann, J., & Heidrich, S. (2019). Learning as a necessary but not sufficient condition for major health policy change: A qualitative comparative analysis combining ACF and MSF. Journal of Comparative Policy Analysis: Research and Practice, 21(2), 167–182. https://doi.org/10.1080/13876988.2017.1393920
   Web of Science ®Google Scholar
• Beach, D., Schäfer, D., & Smeets, S. (2021). The past in the present—The role of analogical reasoning in epistemic learning about how to tackle complex policy problems. Policy Studies Journal, 49(2), 457–483. https://doi.org/10.1111/psj.12372
   Web of Science ®Google Scholar
• Bengtsson, J., Bullock, J. M., Egoh, B., Everson, C., Everson, T., O'Connor, T., O'Farrell, P. J., Smith, H. G., & Lindborg, R. (2019). Grasslands—More important for ecosystem services than you might think. Ecosphere, 10(2), e02582. https://doi.org/10.1002/ecs2.2582
   Web of Science ®Google Scholar
• Bennett, C. J., & Howlett, M. (1992). The lessons of learning: Reconciling theories of policy learning and policy change. Policy Sciences, 25(3), 275–294. https://doi.org/10.1007/BF00138786
   Web of Science ®Google Scholar
• Boon, W. P. C., & Bakker, S. (2016). Learning to shield – Policy learning in socio-technical transitions. Environmental Innovation and Societal Transitions, 18, 181–200. https://doi.org/10.1016/j.eist.2015.06.003
   Web of Science ®Google Scholar
• Bronson, K., & Knezevic, I. (2016). Big data in food and agriculture. Big Data & Society, 3(1), 1–5. https://doi.org/10.1177/2053951716648174
   Web of Science ®Google Scholar
• Bulkeley, H., Coenen, L., Frantzeskaki, N., Hartmann, C., Kronsell, A., Mai, L., Marvin, S., McCormick, K., van Steenbergen, F., & Voytenko Palgan, Y. (2016). Urban living labs: Governing urban sustainability transitions. Current Opinion in Environmental Sustainability, 22, 13–17. https://doi.org/10.1016/j.cosust.2017.02.003
   Web of Science ®Google Scholar
• Chevalier, J. M., & Buckles, D. J. (2019). Participatory action research (2nd ed.). Routledge.
   Google Scholar
• Coleman, W. D., Skogstad, G. D., & Atkinson, M. M. (1996). Paradigm shifts and policy networks: Cumulative change in agriculture. Journal of Public Policy, 16(3), 273–301. https://doi.org/10.1017/S0143814X00007777
   Google Scholar
• Compagnucci, L., Spigarelli, F., Coelho, J., & Duarte, C. (2021). Living labs and user engagement for innovation and sustainability. Journal of Cleaner Production, 289, 125721. https://doi.org/10.1016/j.jclepro.2020.125721
   Web of Science ®Google Scholar
• Crow, D. A., Albright, E. A., Ely, T., Koebele, E., & Lawhon, L. (2018). Do disasters lead to learning? Financial policy change in local government. Review of Policy Research, 35(4), 564–589. https://doi.org/10.1111/ropr.12297
   Web of Science ®Google Scholar
• Daviter, F. (2019). Policy analysis in the face of complexity: What kind of knowledge to tackle wicked problems? Public Policy and Administration, 34(1), 62–83. https://doi.org/10.1177/0952076717733325
   Web of Science ®Google Scholar
• Duncan, E., Glaros, A., Ross, D. Z., & Nost, E. (2021). New but for whom? Discourses of innovation in precision agriculture. Agriculture and Human Values, 38(4), 1181–1199. https://doi.org/10.1007/s10460-021-10244-8
   PubMed Web of Science ®Google Scholar
• Dunlop, C. A. (2017). Pathologies of policy learning: What are they and how do they contribute to policy failure? Policy & Politics, 45(1), 19–37. https://doi.org/10.1332/030557316X14780920269183
   Web of Science ®Google Scholar
• Dunlop, C. A., James, S., & Radaelli, C. M. (2020). Can’t get no learning: The Brexit fiasco through the lens of policy learning. Journal of European Public Policy, 27(5), 703–722. https://doi.org/10.1080/13501763.2019.1667415
   Web of Science ®Google Scholar
• Dunlop, C. A., & Radaelli, C. M. (2013). Systematising policy learning: From monolith to dimensions. Political Studies, 61(3), 599–619. https://doi.org/10.1111/j.1467-9248.2012.00982.x
   Web of Science ®Google Scholar
• Dunlop, C. A., & Radaelli, C. M. (2016). Policy learning in the Eurozone crisis: Modes, power and functionality. Policy Sciences, 49(2), 107–124. https://doi.org/10.1007/s11077-015-9236-7
   PubMed Web of Science ®Google Scholar
• Dunlop, C. A., & Radaelli, C. M. (2018a). Does policy learning meet the standards of an analytical framework of the policy process? Policy Studies Journal, 46(S1), S48–S68. https://doi.org/10.1111/psj.12250
   PubMed Web of Science ®Google Scholar
• Dunlop, C. A., & Radaelli, C. M. (2018b). The lessons of policy learning: Types, triggers, hindrances and pathologies. Policy & Politics, 46(2), 255–272. https://doi.org/10.1332/030557318X15230059735521
   Web of Science ®Google Scholar
• Dunlop, C. A., & Radaelli, C. M. (2022). Policy learning in comparative policy analysis. Journal of Comparative Policy Analysis: Research and Practice, 24(1), 51–72. https://doi.org/10.1080/13876988.2020.1762077
   Web of Science ®Google Scholar
• Etheredge, L. S., & Short, J. (1983). Thinking about government learning. Journal of Management Studies, 20(1), 41–58. https://doi.org/10.1111/j.1467-6486.1983.tb00197.x
   Web of Science ®Google Scholar
• European Commission. (2020). Strategic plan 2020–2024 – Agriculture and rural development. Retrieved August 14, 2023, from https://commission.europa.eu/system/files/2020-10/agri_sp_2020_2024_en.pdf.
   Google Scholar
• Feindt, P. H., & Flynn, A. (2009). Policy stretching and institutional layering: British food policy between security, safety, quality, health and climate change. British Politics, 4(3), 386–414. https://doi.org/10.1057/bp.2009.13
   Web of Science ®Google Scholar
• Geels, F. W., & Ayoub, M. (2023). A socio-technical transition perspective on positive tipping points in climate change mitigation: Analysing seven interacting feedback loops in offshore wind and electric vehicles acceleration. Technological Forecasting and Social Change, 193, 122639. https://doi.org/10.1016/j.techfore.2023.122639
   Web of Science ®Google Scholar
• Geels, F. W., & Schot, J. (2007). Typology of sociotechnical transition pathways. Research Policy, 36(3), 399–417. https://doi.org/10.1016/j.respol.2007.01.003
   Web of Science ®Google Scholar
• Goyal, N., & Howlett, M. (2020). Who learns what in sustainability transitions? Environmental Innovation and Societal Transitions, 34, 311–321. https://doi.org/10.1016/j.eist.2019.09.002
   Web of Science ®Google Scholar
• Hackfort, S. (2021). Patterns of inequalities in digital agriculture: A systematic literature review. Sustainability, 13(22), 12345. https://doi.org/10.3390/su132212345
   Web of Science ®Google Scholar
• Hall, P. A. (1993). Policy paradigms, social learning, and the state: The case of economic policymaking in Britain. Comparative Politics, 25(3), 275–296. https://doi.org/10.2307/422246
   Web of Science ®Google Scholar
• Heclo, H. (1974). Modern social politics in Britain and Sweden: From relief to income maintenance. Yale University Press.
   Google Scholar
• Heclo, H. (1978). Issue networks and the executive establishment. In A. King (Ed.), The new American political system (pp. 87–124). American Enterprise Institute for Public Policy Research.
   Google Scholar
• Heikkila, T., & Gerlak, A. K. (2013). Building a conceptual approach to collective learning: Lessons for public policy scholars. Policy Studies Journal, 41(3), 484–512. https://doi.org/10.1111/psj.12026
   Web of Science ®Google Scholar
• Holmqvist, M. (2016). A dynamic model of intra- and interorganizational learning. Organization Studies, 24(1), 95–123. https://doi.org/10.1177/0170840603024001684
   Google Scholar
• Howlett, M. (2012). The lessons of failure: Learning and blame avoidance in public policy-making. International Political Science Review, 33(5), 539–555. https://doi.org/10.1177/0192512112453603
   Web of Science ®Google Scholar
• Kenis, A., Bono, F., & Mathijs, E. (2016). Unravelling the (Post-)political in transition management: Interrogating pathways towards sustainable change. Journal of Environmental Policy & Planning, 18(5), 568–584. https://doi.org/10.1080/1523908X.2016.1141672
   Web of Science ®Google Scholar
• Kivimaa, P., & Sivonen, M. H. (2023). How will renewables expansion and hydrocarbon decline impact security? Analysis from a socio-technical transitions perspective. Environmental Innovation and Societal Transitions, 48, 100744. https://doi.org/10.1016/j.eist.2023.100744
   Web of Science ®Google Scholar
• Kleinschroth, F., Banda, K., Zimba, H., Dondeyne, S., Nyambe, I., Spratley, S., & Winton, R. S. (2022). Drone imagery to create a common understanding of landscapes. Landscape and Urban Planning, 228, 104571. https://doi.org/10.1016/j.landurbplan.2022.104571
   Web of Science ®Google Scholar
• Klerkx, L., Jakku, E., & Labarthe, P. (2022). A review of social science on digital agriculture, smart farming and agriculture 4.0: New contributions and a future research agenda. NJAS: Wageningen Journal of Life Sciences, 90–91(1), 100315. https://doi.org/10.1016/j.njas.2019.100315.
   Google Scholar
• Klerkx, L., van Bommel, S., Bos, B., Holster, H., Zwartkruis, J. V., & Aarts, N. (2012). Design process outputs as boundary objects in agricultural innovation projects: Functions and limitations. Agricultural Systems, 113, 39–49. https://doi.org/10.1016/j.agsy.2012.07.006
   Web of Science ®Google Scholar
• Levin, K., Cashore, B., Bernstein, S., & Auld, G. (2012). Overcoming the tragedy of super wicked problems: Constraining our future selves to ameliorate global climate change. Policy Sciences, 45(2), 123–152. https://doi.org/10.1007/s11077-012-9151-0
   Web of Science ®Google Scholar
• Lühmann, M., & Vogelpohl, T. (2023). The bioeconomy in Germany: A failing political project? Ecological Economics, 207, 107783. https://doi.org/10.1016/j.ecolecon.2023.107783
   Web of Science ®Google Scholar
• May, P. J. (1992). Policy learning and failure. Journal of Public Policy, 12(4), 331–354. https://doi.org/10.1017/S0143814X00005602
   Google Scholar
• McConnell, A. (2010). Policy success, policy failure and grey areas in-between. Journal of Public Policy, 30(3), 345–362. https://doi.org/10.1017/S0143814X10000152
   Web of Science ®Google Scholar
• McNutt, K., & Rayner, J. (2018). Is learning without teaching possible? The productive tension between network governance and reflexivity. Journal of Environmental Policy & Planning, 20(6), 769–780. https://doi.org/10.1080/1523908X.2014.986568
   Web of Science ®Google Scholar
• McPhee, C., Bancerz, M., Mambrini-Doudet, M., Chrétien, F., Huyghe, C., & Gracia-Garza, J. (2021). The defining characteristics of agroecosystem living labs. Sustainability, 13(4), 1718. https://doi.org/10.3390/su13041718
   Web of Science ®Google Scholar
• Metze, T. A. P., & Van Zuydam, S. (2018). Pigs in the city: Reflective deliberations on the boundary concept of Agroparks in The Netherlands. Journal of Environmental Policy & Planning, 20(6), 675–688. https://doi.org/10.1080/1523908X.2013.819780
   Web of Science ®Google Scholar
• Millar, H. (2020). Problem uncertainty, institutional insularity, and modes of learning in Canadian provincial hydraulic fracturing regulation. Review of Policy Research, 37(6), 765–796. https://doi.org/10.1111/ropr.12401
   Web of Science ®Google Scholar
• Moyson, S. (2017). Cognition and policy change: The consistency of policy learning in the advocacy coalition framework. Policy and Society, 36(2), 320–344. https://doi.org/10.1080/14494035.2017.1322259
   Web of Science ®Google Scholar
• Moyson, S., Scholten, P., & Weible, C. M. (2017). Policy learning and policy change: Theorizing their relations from different perspectives. Policy and Society, 36(2), 161–177. https://doi.org/10.1080/14494035.2017.1331879
   Web of Science ®Google Scholar
• Oliver, M. J., & Pemberton, H. (2004). Learning and change in 20th-century British economic policy. Governance, 17(3), 415–441. https://doi.org/10.1111/j.0952-1895.2004.00252.x
   Web of Science ®Google Scholar
• Pattison, A. (2018). Factors shaping policy learning: A study of policy actors in subnational climate and energy issues. Review of Policy Research, 35(4), 535–563. https://doi.org/10.1111/ropr.12303
   Web of Science ®Google Scholar
• Pe'er, G., Bonn, A., Bruelheide, H., Dieker, P., Eisenhauer, N., Feindt, P. H., Hagedorn, G., Hansjürgens, B., Herzon, I., Lomba, Â., Marquard, E., Moreira, F., Nitsch, H., Oppermann, R., Perino, A., Röder, N., Schleyer, C., Schindler, S., Wolf, C., .... Lakner, S. (2020). Action needed for the EU common agricultural policy to address sustainability challenges. People and Nature, 2(2), 305–316. https://doi.org/10.1002/pan3.10080
   Google Scholar
• Pierson, P. (1993). When effect becomes cause: Policy feedback and political change. World Politics, 45(4), 595–628. https://doi.org/10.2307/2950710
   Google Scholar
• Riche, C., Aubin, D., & Moyson, S. (2021). Too much of a good thing? A systematic review about the conditions of learning in governance networks. European Policy Analysis, 7(1), 147–164. https://doi.org/10.1002/epa2.1080
   Google Scholar
• Rittel, H. W. J., & Webber, M. M. (1973). Dilemmas in a general theory of planning. Policy Sciences, 4(2), 155–169. https://doi.org/10.1007/BF01405730
   Web of Science ®Google Scholar
• Rogers, K. H., Luton, R., Biggs, H., Biggs, R., Blignaut, S., Choles, A. G., Palmer, C. G., & Tangwe, P. (2013). Fostering complexity thinking in action research for change in social–ecological systems. Ecology and Society, 18(2), 31. https://doi.org/10.5751/ES-05330-180231
   Web of Science ®Google Scholar
• Rose, R. (1991). What is lesson-drawing? Journal of Public Policy, 11(1), 3–30. https://doi.org/10.1017/S0143814X00004918
   Google Scholar
• Sabatier, P. A. (1987). Knowledge, policy-oriented learning, and policy change. Knowledge, 8(4), 649–692. https://doi.org/10.1177/0164025987008004005
   Google Scholar
• Saldana, J. (2021). The coding manual for qualitative researchers (4th ed.). SAGE.
   Google Scholar
• Sanderson, I. (2002). Evaluation, policy learning and evidence-based policy making. Public Administration, 80(1), 1–22. https://doi.org/10.1111/1467-9299.00292
   Web of Science ®Google Scholar
• Sandström, A., Morf, A., & Fjellborg, D. (2021). Disputed policy change: The role of events, policy learning, and negotiated agreements. Policy Studies Journal, 49(4), 1040–1064. https://doi.org/10.1111/psj.12411
   Web of Science ®Google Scholar
• Scharpf, F. W. (1997). Games real actors play: Actor-centered institutionalism in policy research. Westview Press.
   Google Scholar
• Schmidt, V. A. (2013). Democracy and Legitimacy in the European Union revisited: input, output and ‘throughput’. Political Studies, 61(1), 2–22. https://doi.org/10.1111/j.1467-9248.2012.00962.x
   Web of Science ®Google Scholar
• Smith, A., & Stirling, A. (2010). The politics of social-ecological resilience and sustainable socio-technical transitions. Ecology and Society, 15(1), 11. https://doi.org/10.5751/ES-03218-150111
   Web of Science ®Google Scholar
• Star, S. L., & Griesemer, J. R. (1989). Institutional ecology, ‘translations’ and boundary objects: Amateurs and professionals in Berkeley's Museum of vertebrate zoology, 1907–39. Social Studies of Science, 19(3), 387–420. https://doi.org/10.1177/030631289019003001
   Web of Science ®Google Scholar
• Statistische Ämter des Bundes und der Länder. (2011). Agrarstrukturen in Deutschland. Einheit in Vielfalt. Regionale Ergebnisse der Landwirtschaftszählung 2010.
   Google Scholar
• Stirling, A. (2010). Keep it complex. Nature, 468(7327), 1029–1031. https://doi.org/10.1038/4681029a
   PubMed Web of Science ®Google Scholar
• Trein, P., & Vagionaki, T. (2022). Learning heuristics, issue salience and polarization in the policy process. West European Politics, 45(4), 906–929. https://doi.org/10.1080/01402382.2021.1878667
   Web of Science ®Google Scholar
• Van Mierlo, B., & Beers, P. J. (2020). Understanding and governing learning in sustainability transitions: A review. Environmental Innovation and Societal Transitions, 34, 255–269. https://doi.org/10.1016/j.eist.2018.08.002
   Web of Science ®Google Scholar
• Vogeler, C. S. (2019). Yet another paradigm change? Narratives and competing policy paradigms in Brazilian labour market policies. Policy and Society, 38(3), 429–484. https://doi.org/10.1080/14494035.2019.1652954
   Web of Science ®Google Scholar
• Wagenaar, H. (2007). Governance, complexity, and democratic participation. The American Review of Public Administration, 37(1), 17–50. https://doi.org/10.1177/0275074006296208
   Web of Science ®Google Scholar
• Weible, C. M., Olofsson, K. L., & Heikkila, T. (2023). Advocacy coalitions, beliefs, and learning: An analysis of stability, change, and reinforcement. Policy Studies Journal, 51(1), 209–229. https://doi.org/10.1111/psj.12458
   Web of Science ®Google Scholar
• Zaki, B. L., Wayenberg, E., & George, B. (2022). A systematic review of policy learning: Tiptoeing through a conceptual minefield. Policy Studies Yearbook, 12(1), 1–52. https://doi.org/10.18278/psy.12.1.2.
   Google Scholar