Translational Regional Science, Input/Output Analysis and Community Engagement: New Perspectives for Closing the High Tech—Community Gap

Gibson, Lay James; Pavlakovich-Kochi, Vera; Gruener, Raphael; Wright, Bruce A.

doi:10.2457/srs.40.1

Cited by 5 publications

(4 citation statements)

References 7 publications

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“…This paper builds on a series of previous works (Gibson et al. 2008, 2009, 2010), that addressed three key issues in planning a high tech/bio tech park.…”

Section: Introductionmentioning

confidence: 99%

“…This paper builds on a series of previous works (Gibson et al 2008(Gibson et al , 2009(Gibson et al , 2010, that addressed three key issues in planning a high tech/bio tech park. First, the importance of identifying constituencies associated with such a project and understanding their interests and needs; second, the necessity to translate scientific and technical findings such as input-output (I/O) impacts into readily deliverable pieces to community leaders for local economic development, and third, the importance of establishing and sustaining a two-way relationship between research team and client during both the planning and implementation phase.…”

Section: Introductionmentioning

confidence: 99%

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Planning for a high tech/biotech research park

Lim

Gibson

Pavlakovich-Kochi

2011

Regional Science Policy & Practice

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This paper explores the use of scientific approaches when planning for the development of a new high tech/biotech research park. The emphasis is placed on those methods that can provide useful information to various stakeholders about potential economic impacts of a planned high tech/biotech research park in specific urban neighbourhoods. While considerable literature has addressed the overall role of high tech/biotech research parks for regional growth, the potential impacts on disadvantaged urban neighbourhoods are less known. We argue that the geographic scale of analysis is a critical factor. We use a new data set developed by IMPLAN which reports data at the zip code/postal code scale. Using this data set we can conduct input‐output (I/O) analysis of research park impacts and contributions at the micro (one postal code) scale, at the metropolitan scale, at the state scale, and finally at the US scale. We also recognize that different I/O metrics ‘tell different stories’. In our analyses, we use employment, occupation, and wage data. Further, we report findings by the minimum required educational attainment for appropriate occupations. Resumen. Este artículo explora el uso de enfoques científicos al planificar el proyecto de un nuevo parque de investigación científica y tecnológica. Se pone énfasis en aquellos métodos que pueden proporcionar información útil a varias partes interesadas sobre los posibles impactos económicos de un parque de investigación tecnológica y biotecnológica en sectores urbanos específicos. A pesar de los numerosos estudios sobre el papel genérico de los parques de investigación científica y tecnológica en el crecimiento regional, no se conoce tanto sobre sus impactos potenciales en los distritos urbanos más desfavorecidos.Aducimos que la escala geográfica del análisis es un factor crítico. Utilizamos un nuevo conjunto de datos desarrollado por IMPLAN que produce informes con datos a escala de código postal. Utilizando este conjunto de datos podemos realizar un análisis input‐output (I/O) de los impactos y contribuciones a micro escala (un código postal), a escala metropolitana, a escala estatal y finalmente a escala de los EE.UU. Reconocemos asimismo que medir el I/O de manera distinta nos “cuenta historias diferentes”. En nuestros análisis utilizamos datos del empleo, la ocupación y salariales. Además, mostramos los resultados respecto del nivel educativo mínimo requerido para cada ocupación.

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“…This paper builds on a series of previous works (Gibson et al. 2008, 2009, 2010), that addressed three key issues in planning a high tech/bio tech park.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Planning for a high tech/biotech research park

Lim

Gibson

Pavlakovich-Kochi

2011

Regional Science Policy & Practice

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“…This paper extends previous contributions on Arizona (Gibson et al ; Lim et al ) by relying on the most recent IO regional data and using the true values of federal investments in science as a way to positively shock the local economy. County‐level federal investments in science, research and technology are transformed into expanded sales for the related industrial sectors.…”

Section: Methodsmentioning

confidence: 55%

“…Finally, while limited to one year of allocation, such data still allow our interregional input‐output analysis to highlight the spatial heterogeneity and the social externalities present in the distribution of the programme's return. An evidence of this type of social return appears in the IO study by Gibson et al () where the authors demonstrate that 30 per cent of the newly created jobs in high‐tech manufacturing sectors in 2006 in Pima county, where Tucson is located, were available for the group with ‘high school or less education’ while another 30 per cent were available for the group with ‘high school and some college or specialized training’. Another empirical IO study (Lim et al ) finds that the higher share of the direct jobs (46%) created in Arizona in 2009 was available for the group with ‘high school or less education’ and another 21 per cent was available for the group with ‘high school and some college or specialized training’.…”

Section: Introductionmentioning

confidence: 99%

An analysis of the impact of federally‐funded investments in science, research and technology across regions and education groups in Arizona

Lim

Dall’erba

2016

Regional Science Policy & Practice

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This paper uses the $526.9 million in Research and Development (R&D) support allocated by the federal government to the state of Arizona in 2010 to demonstrate how multi-regional input-output (MRIO) analysis can highlight the spatial and social heterogeneity of its economic returns. While the statewide output multiplier of this event is 2.18, the multiplier effects are between 0.23 and 0.88 point greater in Phoenix than in Tucson, the two largest metro areas in Arizona. The 'rest of Arizona' reports an even greater gap w.r.t. Phoenix because of a lack of skilled workers and infrastructure. When it comes to the heterogeneous effect across groups of inhabitants, we find that the main beneficiaries are the workers with the highest levels of education. However, more than 2,000 jobs have also been created for the labour force with a high school degree or less thus indicating the presence of social returns of investments in R&D.JEL classification: R12, C67, R42, R58

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