Spatial analysis for evaluating the implications of Megan’s Law

The Evolutionary Dynamics of Entrepreneurial Ecosystems

Entrepreneurial ecosystems (EE) consist of interacting components, which foster new firm formation and associated regional entrepreneurial activities. Current work on EE however focuses on documenting the presence of system components, which means there is little understanding of interdependencies between EE components and their evolutionary dynamics. To address these issues, the objective of the present study is to develop an evolutionary framework of EE development that integrates important components from prior work and describes how critical elements of an entrepreneurial system interact and evolve over time. The value of this framework in understanding the evolutionary dynamics of EE will be demonstrated by profiling the EE of Phoenix, Arizona. The evolutionary perspective developed is valuable because it provides a sense of how history, culture, and the institutional setting impact EE. It also provides stakeholders with action points to help maintain or propel an EE to the next level. This is a distinct improvement over static approaches that provide a list of EE ingredients with no sense of their relative importance over time. The proposed framework may also be used in a comparative context to compare and contrast the evolutionary trajectory of EE to better understand why particular places remain trapped in a specific phase of growth or continue to evolve over time.

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Visual Analytical Toolkits for Understanding the Spatio-Temporal Evolution of Broadband Provision

Visual Analytical Toolkits for Understanding the Spatio-Temporal Evolution of Broadband Provision

Problems with currently available broadband data sources highlight the pressing need for novel data analytical methods and tools that enable policy makers to explore broadband market dynamics. Given this pressing need, the goal of this paper is to discuss the current state-of-the-art in geovisual analytic tools that could be applied to broadband analysis and demonstrate how these toolkits may be applied to answer important policy questions about the spatio-temporal evolution of broadband markets.

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Variations in the Broadband-Business Connection Across the Urban Hierarchy

Variations in the Broadband-Business Connection Across the Urban Hierarchy

This study estimates econometric models to evaluate the linkage between broadband Internet connections and firms in counties across the urban hierarchy within the continental U.S. Industry-related variations in this relationship are also explored using varied definitions of the urban hierarchy. Model results indicate broadband presence in remote areas is not an explanatory factor of establishment presence. Results also suggest the manner in which the urban hierarchy is defined matters. Traditional metropolitan/nonmetropolitan and urban/rural splits of locales are insufficient to capture the geographic and industrial nuances behind this relationship.

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Broadband Provision and Knowledge Intensive Firms: A Causal Relationship

Broadband Provision and Knowledge Intensive Firms: A Causal Relationship

Despite the discussions about the importance of the digital economy, we are still far from understanding how information and communication technologies (ICTs) affect economic activity in space. Recent studies have started untangling the spatial economic impact of ICTs, highlighting the potential use of ICTs as a local development tool. This paper contributes to this domain by exploring whether broadband Internet provision can act as an attractor for knowledge-intensive business services in the United States. Using Granger causality tests, this paper addresses the simultaneity issue between broadband Internet demand and supply at the very detailed spatial level of US counties.

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