Exploring The Diffusion Of Innovation Among High And Low Innovative Localities

Abstract

Berry and Berry (1999, 2007) argue that diffusion of policy innovations is driven by learning, competition, public pressure or mandates from higher levels of authority. We undertake a first time analysis of this whole framework and present three sub-studies of innovation. First, we examine the drivers of total innovation. Second, we assess whether the factors influencing the most innovative localities are similar to or different from the factors impacting the low localities. Finally, we disaggregate total innovation into three different innovation types. Our findings, undertaken on a panel of English local governments over four years, reveal that a majority of the diffusion drivers from innovation and diffusion theory are indeed positively significant for total innovation. However, local authorities that adopt higher and lower levels of innovation than predicted do things differently while the framework has limited applicability to types of management innovation. We concluded that the Berry and Berry model is best suited to the analysis of total innovation, but not as well suited to the analysis of different types of innovation. We also outline a research agenda that might better explain the diffusion of public policy and public management innovation types than is captured by current literature.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 125 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.