Effects of Policy Network Type on Public Policy Processes Outcomes in the Road Transport Sector in Nairobi City County, Kenya
DOI:
https://doi.org/10.47672/ajppa.1331Keywords:
Policy network type, policy process, policy outcomes, road transport sector, KenyaAbstract
Purpose: Transport sector in Nairobi City County is characterised by a myriad of challenges related to policymaking process. While studies have sought to establish the link between various policy network issues and policy process outcomes, the role of various policy network types has not been given much attention. This is despite its important role of connecting government actors, non-governmental organizations, and other stakeholders involved in policy-making to help facilitate an effective, efficient, and inclusive policy-making process. This study sought to establish the effect of policy network type on public policy processes outcomes in the road transport sector in Nairobi City County, Kenya.
Methodology: The study adopted a descriptive design. The target population of the study was 470 policy actors in the road transport sector within Nairobi City County out of which 407 were purposefully sampled to respond to the questionnaire and 45 were sampled to participate in focused group discussions as well as key informant interviews. The sampling approach adopted was a purposeful sampling procedure. A mixed methodology was adopted whereby both quantitative and qualitative data was collected through structured questionnaires, key informant interviews and focused group discussions. The quantitative data was analyzed through descriptive statistics that is mean, frequencies and percentages as well as regression analysis. On the other hand, qualitative data was analysed through thematic analysis and reported in a narrative format.
Findings: The effect of policy network type on policy process outcomes was determined to be positive and significant. It was established that various policy network types in road transport sector within Nairobi City County, Kenya strongly determined policy process outcomes.
Recommendations: The study recommend policy makers in the transport sector to adopt policy networks which have a clear a clear chain of command and clear decision-making authority, adopt policy networks characterized by multiple decision-makers who share decision-making authority as well as those characterized by characterized by multiple decision-makers who are geographically dispersed. There is also a need for policy makers in the transport sector to adopt policy networks characterized by characterized by a dynamic structure that changes over time in response to different circumstances.
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References
Almeida, L. D. A., & Gomes, R. C. (2018). The process of public policy: literature review, theoretical reflections and suggestions for future research. Cadernos EBAPE. BR, 16, 444-455.
Anderson, L. (2019). The Future of the Public Policy School in a World of Disruptive Innovation. Global Policy, 10(1), 84-85
Andonova L.B. (2017). Governance entrepreneurs: international organizations and the rise of global public-private partnerships. Cambridge: Cambridge University Press
Borgatti, S. P., Everett, M. G., & Johnson, J. C. (2013). Centrality. Analyzing social networks, 189-208.
Bevir, M., & Rhodes, R. A. (2010). The state as cultural practice. OUP Oxford.
Choi, J., & Contractor, F. J. (2016). Choosing an appropriate alliance governance mode: The role of institutional, cultural and geographical distance in international research & development (R&D) collaborations. Journal of International Business Studies, 47(2), 210-232.
Compston, H. (2009). Policy networks and policy change: putting policy network theory to the test. . Springer.
Emberger, G., & May, A. D. (2017). Challenges in the development of national policies on transport. European transport research review, 9(4), 1-3.
Enroth, H. (2011). Policy network theory. . The SAGE handbook of governance, 19-35.
Head, B.W. (2019) Forty years of wicked problems literature: Forging closer links to policy studies. Policy and Society 38(2): 180-197
Hileman, J., & Lubell, M. (2018). The network structure of multilevel water resources governance in Central America. Ecology and Society, 23(2).
Howlett, M., Mukherjee, I., & Koppenjan, J. (2017). Policy learning and policy networks in theory and practice: The role of policy brokers in the Indonesian biodiesel policy network. . Policy and Society, 36(2), 233-250.
Kingdon, J.W. (1984). Agendas, Alternatives, and Public Policies. New York: Harper & Row Publishers.
Koliba, C., Meek, J. W. & Zia, A. (2011). Governance Networks in Public Administration and Public Policy. Boca Raton, FL: CRC Press
Morçöl, G. (2012). Urban sprawl and public policy: a complexity theory perspective. Emergence: Complexity and Organization, 14(4), 1.
Provan, K. G., & Kenis, P. (2008). Modes of network governance: Structure, management, and effectiveness. Journal of public administration research and theory, 18(2), 229-252.
Rittel, H. W., & Webber, M. M. (1973). Dilemmas in a general theory of planning. Policy sciences, 4(2), 155-169.
Rode, P., Heeckt, C., & da Cruz, N. F. (2019). National Transport Policy and Cities: Key policy interventions to drive compact and connected urban growth. Coalition for Urban Transitions: London and Washington, DC.
Rudnick, J., Niles, M., Lubell, M., & Cramer, L. (2019). A comparative analysis of governance and leadership in agricultural development policy networks. World development, 117, 112-126.
Stone D. & Moloney K. (Eds.) (2019). Oxford Handbook of Global Policy and Transnational Administration, Oxford: Oxford University Press.
Torfing, J., & Ansell, C. (2017). Strengthening political leadership and policy innovation through the expansion of collaborative forms of governance. Public Management Review, 19(1), 37-54.
United Nations (2020). Sustainable Development Goal 16: Focus on public institutions, World Public Sector Report 2019, Division for Public Institutions and Digital Government, Department of Economic and Social Affairs, New York
Zeng, F., Dai, J., & Javed, J. (2019). Frame alignment and environmental advocacy: The influence of NGO strategies on policy outcomes in China. Environmental Politics, 28(4), 747-770.
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Copyright (c) 2023 Cornelius Ombagi, Prof. David Minja, Dr. Wilson Muna
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