To overcome such limitations, in this article we propose an approach to the analysis of the spatial
dynamics of firm formation/exit based on micro-geographic data. In particular, we illustrate the use
of the space-time inhomogeneous K-function (Gabriel and Diggle, 2009) to detect the spatio-
temporal clustering of firm entries and firm exits generated by the interaction between economic
agents while controlling for common factors (varying according to locality) and spatial and
temporal heterogeneity. In many respects, this paper can be considered as a further step towards an
appraisal of the methodological problems introduced in Arbia et al. (2010; 2012; 2013). In
particular, Arbia et al. (2010) analyze the spatial dynamics of firms as a point pattern, but assume
an underlying homogeneous space, while in Arbia et al. (2012) the assumption of homogeneity is
relaxed, but the analysis is limited to cross-sectional synchronic data. Finally in Arbia et al. (2013)
the issues of spatial dependence and spatial heterogeneity are treated jointly, but again with no
consideration for dynamics, thus being limited to cross-sectional observations. In this paper we
pursue the more ambitious (and more realistic) aim to jointly consider the space-time dynamics of a
set of firms distributed within a heterogeneous space. In particular, we propose to approach this
problem by applying the empirical methodology proposed by Gabriel and Diggle (2009).
To overcome such limitations, in this article we propose an approach to the analysis of the spatial
dynamics of firm formation/exit based on micro-geographic data. In particular, we illustrate the use
of the space-time inhomogeneous K-function (Gabriel and Diggle, 2009) to detect the spatio-
temporal clustering of firm entries and firm exits generated by the interaction between economic
agents while controlling for common factors (varying according to locality) and spatial and
temporal heterogeneity. In many respects, this paper can be considered as a further step towards an
appraisal of the methodological problems introduced in Arbia et al. (2010; 2012; 2013). In
particular, Arbia et al. (2010) analyze the spatial dynamics of firms as a point pattern, but assume
an underlying homogeneous space, while in Arbia et al. (2012) the assumption of homogeneity is
relaxed, but the analysis is limited to cross-sectional synchronic data. Finally in Arbia et al. (2013)
the issues of spatial dependence and spatial heterogeneity are treated jointly, but again with no
consideration for dynamics, thus being limited to cross-sectional observations. In this paper we
pursue the more ambitious (and more realistic) aim to jointly consider the space-time dynamics of a
set of firms distributed within a heterogeneous space. In particular, we propose to approach this
problem by applying the empirical methodology proposed by Gabriel and Diggle (2009).
การแปล กรุณารอสักครู่..

To overcome such limitations, in this article we propose an approach to the analysis of the spatial
dynamics of firm formation/exit based on micro-geographic data. In particular, we illustrate the use
of the space-time inhomogeneous K-function (Gabriel and Diggle, 2009) to detect the spatio-
temporal clustering of firm entries and firm exits generated by the interaction between economic
agents while controlling for common factors (varying according to locality) and spatial and
temporal heterogeneity. In many respects, this paper can be considered as a further step towards an
appraisal of the methodological problems introduced in Arbia et al. (2010; 2012; 2013). In
particular, Arbia et al. (2010) analyze the spatial dynamics of firms as a point pattern, but assume
an underlying homogeneous space, while in Arbia et al. (2012) the assumption of homogeneity is
relaxed, but the analysis is limited to cross-sectional synchronic data. Finally in Arbia et al. (2013)
the issues of spatial dependence and spatial heterogeneity are treated jointly, but again with no
consideration for dynamics, thus being limited to cross-sectional observations. In this paper we
pursue the more ambitious (and more realistic) aim to jointly consider the space-time dynamics of a
set of firms distributed within a heterogeneous space. In particular, we propose to approach this
problem by applying the empirical methodology proposed by Gabriel and Diggle (2009).
การแปล กรุณารอสักครู่..
