Knowledge and communications infrastructure and regional economic change

Andersson, Åke E.; Anderstig, Christer; Hårsman, Björn

doi:10.1016/0166-0462(90)90016-v

Cited by 65 publications

(25 citation statements)

References 14 publications

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“…Andersson et al (1990) analyze the relationship between the supply of infrastructure and the productivity of the regions as macroeconomic entities. They conclude that the most important infrastructure factors are related to transportation, information and communication possibilities (accessibility) as well as research and development capacity.…”

Section: The Modelmentioning

confidence: 99%

Spatial impact of information technology development

Ogawa¹

2000

The Annals of Regional Science

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Concentrating on the property of information infrastructure, this paper examines the impact of publicly funded technology development on the spatial allocation of population and social welfare. Information and communication technologies attract much attention as elements of change in regional systems, industrial structures and in determining the allocation of economic activities. In particular, the expansion of information networks is expected to reduce the over-concentration of population in a built up region. In this paper, modeling the network e¨ects and technology e¨ects of information infrastructure supply, we ®rstly show that technology development may not necessarily encourage the dispersal of economic activities. Secondly, we derive an optimal rule for the central government to develop the infrastructure of information and communication. The results imply that the central government has a key role to play in ensuring the compatibility of household dispersion and an increase in the social welfare.

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Section: The Modelmentioning

confidence: 99%

Spatial impact of information technology development

Ogawa¹

2000

The Annals of Regional Science

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“…The forest sector usually benefits from this policy greatly. For example, factors such as transport costs, communications, access to R & D activities and labor skills, have all been regarded as factors influencing development (Andersson et al 1990, Vickerman 1991, although the role of urban development has been the main concern during the recent years. Infrastructural factors such as roads and waterways are crucial for remote resource extraction, and improved telecommunications create new management opportunities.…”

Section: Supply-side Policymentioning

confidence: 99%

Theories of regional development and their relevance to the forest sector.

Tykkyläinen¹,

Hyttinen²,

Mononen³

1997

Silva Fenn.

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The paper elaborates upon various theories to explain economic development and restructuring in the forested regions of advanced countries. The concepts of communities based on the forest sector and the concept of restructuring are discussed before presenting the diversity of relevant theories. Different theoretical approaches in geography and regional and socio-economic sciences are analyzed, and the paper concludes that each theory gives only a partial explanation of restructuring under certain conditions. This paper recommends that an explanatory framework should take into accountin addition to general explanatory factors -sectoral, local-specific and policy-related factors and the role of human agency in attempts to explain restructuring and development.

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“…Implied by the row-normalization of the weight matrix, a spatial lag term indicates the average level of the lagged variable in the neighboring units of a geographic observation. 17 Literally, this weight matrix specifies the membership of neighborhood sets, which may be defined on the basis of shared boundaries or distance bands within which the geographical centroids of neighbors lie. Because no correlation is specified between the error term and the independent variables, OLS estimators for ( 1 ) retain their desirable properties and are identical to the maximum likelihood (ML) estimators.…”

Section: Spatial Dependence Modelmentioning

confidence: 99%

Institutions of Higher Education and the Regional Economy: A Long‐Term Spatial Analysis

Wang

2010

Economics Research International

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This paper investigates the long-term effects of institutions of higher education (IHEs) on regional economic growth with an application of spatial econometrics. IHEs are classified based on the fields of programs offered and degree-granting activities. I use county-level data for the contiguous US to estimate the marginal effects of IHEs on the changes in log employment and log wages in own counties and neighboring counties between 1970 and 2000. Evidence is found of knowledge spillovers of IHEs, especially for cross-county spillovers. Counties with more IHEs on location or in their neighboring counties experienced modestly faster employment growth over the 30-year period. Institutions offering accredited business programs had much larger effects than the others. With respect to degree-granting activities, only those institutions awarding bachelor's degrees or above had significant growth-boosting effects. When industrial mix of counties is controlled for, own-county effects diminish except for business programs, whereas all neighboring-county effects prevail.

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Knowledge and communications infrastructure and regional economic change

Cited by 65 publications

References 14 publications

Spatial impact of information technology development

Spatial impact of information technology development

Theories of regional development and their relevance to the forest sector.

Institutions of Higher Education and the Regional Economy: A Long‐Term Spatial Analysis

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