2015
DOI: 10.1068/c12234b
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Do Rural Firms Perceive Different Problems? Geography, Sorting, and Barriers to Growth in UK SMEs

Abstract: Support for small businesses is often delivered separately for urban and rural areas, based on the idea that the barriers to business growth differ geographically. Yet firms in rural and urban areas will also differ in their characteristics, and these may be more important influences on firm growth than location. In this paper we test whether firms in urban, semirurals, and rural areas perceive each o f eight obstacles to their success differently, based on a large sample o f U K SMEs. After controlling for se… Show more

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Cited by 35 publications
(32 citation statements)
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“…This will present an excellent opportunity for understanding the underlying perceptions, behaviours, motivations and attitudes towards artisans (see, for example, Krueger and Casey 2000). Another opportunity will be to test whether firms in urban, semi-rural, and rural areas perceive each of the obstacles or variables to their success differently (see, for example Lyee and Cowling, 2015). In their study, Lyee and Cowling (2015) posit that firms in rural and urban areas differ in their characteristics, and these may have more important influences on firm growth than location.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…This will present an excellent opportunity for understanding the underlying perceptions, behaviours, motivations and attitudes towards artisans (see, for example, Krueger and Casey 2000). Another opportunity will be to test whether firms in urban, semi-rural, and rural areas perceive each of the obstacles or variables to their success differently (see, for example Lyee and Cowling, 2015). In their study, Lyee and Cowling (2015) posit that firms in rural and urban areas differ in their characteristics, and these may have more important influences on firm growth than location.…”
Section: Discussionmentioning
confidence: 99%
“…The first main contribution related econometric methods employed that enabled development or assembling of valid data set and then uses various descriptive statistical and logit regression to analyse determinants of the decision to engage in artisanal employment and the intensity of participation. As far as we know, this issue has not been directly examined in artisan entrepreneurship research by applying logit model as previous studies focused on investigating the goals and values of craft practitioners (Bouette and Magee, 2015); examining the goals of contemporary artisans (Tregear, 2005); describing the current situation of the handicraft market (Forero-Montaña et al, 2017); and as a means to promote long-term development of the rural economy (Dana, 1999;Lyee and Cowling, 2015). To determine the factors influencing the decision to engage in artisanal activities we employed socio-economic (independent) variables such as age, sex, education (see, for example, Kabongo and Okpara, 2010), technical education, household size, farm size, access to credit, access infrastructure, etc.…”
Section: Introductionmentioning
confidence: 99%
“…It was commented that the mainstream enterprise support is 'urban-focused' with little reflection of the specifics and needs of the rural businesses. The lack of local focus and place-based approach in supporting rural business contributes to shortages in business support provision for rural business (Lyee and Cowling, 2015).…”
Section: Place-based Policy and Enterprise Supportmentioning
confidence: 99%
“…Many studies on the characteristics of SMEs and determinants of growth have been conducted at the country level (Lee andCowling 2015, Krasniqi 2007) and identify a number of well-established themes. However, very few studies have conducted cross-country comparisons.…”
Section: Barriers To Enterprise Developmentmentioning
confidence: 99%