Riding the Wave of Urban Growth in the Countryside: Spread, Backwash, or Stagnation?

Partridge, Mark D.; Bollman, Ray D.; Olfert, M. Rose; Alasia, Alessandro

doi:10.3368/le.83.2.128

Cited by 124 publications

(140 citation statements)

References 11 publications

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“…At the regional level, the transformation to a knowledge economy, which is urban-centric, is most problematic in remote rural areas, which are heavily dependent on inadequate regional assets and human skills (Kangasharju and Pekkala, 2004). Similarly, rural areas close to the largest cities in Canada have succeeded better than other rural areas in compensating for employment losses in the primary industries, as they have benefited from commuting to the regional cores (Partridge et al, 2007;Polèse and Shearmur, 2004). Economic wealth occurs unevenly geographically as a result of stagnant or declining demand and poor competiveness for economic diversification.…”

Section: Changing Spatial Patterns Of Wealthmentioning

confidence: 99%

Industry life cycles of a resource town in Finland – the case of Lieksa

Halonen

Kotilainen

Tykkyläinen

et al. 2015

European Countryside

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Abstract:The article aims to show how local industry life cycles impact the development of Finnish resource-based rural towns. This study reveals five long-term and overlapping industry cycles which were based on natural resources, assembly industries and service production. In general, the cycles have shortened over time.Transitions from cycle to cycle were enabled by the phases of resilience, which were highly dependent on political and economic processes at different scales. However, the political interventions of the last decades were unable to compensate for the disadvantages in competitiveness of this remote area and lay sustainable foundations for new industries. In the long run, the only exception has been the forest-related processing industry which has a capacity to renew its own operations and adapt to changing market situations. The results demonstrate the high significance of absolute advantage in rural development.Keywords: industry life cycles; resource dependence; local resilience; employment; regional policy; forested areas; Finland Abstrakti: Suomalaisten resurssiperustaisten maaseutukuntien kehitykseen ovat vaikuttaneet keskeisesti paikallisten toimialojen elinkaaret. Tutkimuskohteessa havaitut viisi toisiinsa limittyvää sykliä ovat perustuneet paikallisiin luonnonvaroihin, tuotuja raakaaineita ja puolivalmisteita käyttävään teollisuuteen ja palvelujen tuotantoon. Teollisella kaudella yksittäisen elinkaaren pituus on lyhentynyt. Syklistä toiseen siirtymiseen ovat vaikuttaneet eritasoiset poliittiset ja taloudelliset uusiutumisvaiheet. Viime vuosikymmenten poliittiset interventiot eivät ole kyenneet kompensoimaan tutkitun resurssiperiferian heikkoa kilpailukykyä ja luomaan kestävää perustaa uusille aloille. Parhaiten muuttuviin markkinatilanteisiin on sopeutunut paikallisia luonnonvaroja jalostava metsäteollisuus.

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Section: Changing Spatial Patterns Of Wealthmentioning

confidence: 99%

Industry life cycles of a resource town in Finland – the case of Lieksa

Halonen

Kotilainen

Tykkyläinen

et al. 2015

European Countryside

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“…The first column reports a model specification where the distance variable appears also in quadratic form, so as to allow for nonlinearities in the effect of distance, as in Partridge et al (2007). The second column includes instead the interaction terms between distance and GDP growth in the closest urban or intermediate region.…”

Section: Resultsmentioning

confidence: 99%

“…In order to estimate how population growth in rural regions is affected by the relationships with their urban counterpart we follow the approach adopted by Partridge et al (2007). These authors use a partial-adjustment model where changes in population reflect long-run transitions to equilibrium.…”

Section: Empirical Strategymentioning

confidence: 99%

“…The level of population density -regional well-being -after t years is then a combination between the actual and the equilibrium population density. Thus, as in Partridge et al (2007), population density in rural regions can be modelled as follows:…”

Section: Empirical Strategymentioning

confidence: 99%

“…Intermediate Rural different places (Partridge et al, 2008;Partridge et al, 2007;Feser and Isserman, 2006). These linkages are in turn strongly influenced by distance.…”

Section: Urbanmentioning

confidence: 99%

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