However, the lack of a systematic approach to analysis of this data at a micro-territorial level –
where the observations refer to the geographical coordinates of each individual firm – has partially
limited the possibility of obtaining robust evidence of the firm demographic phenomenon mainly
due to a problem of data scarcity and reliability. This may be regarded as a potential limitation for
at least two reasons. First of all, geographically aggregated data (such as regional firm entry and
exit rates) are based on arbitrary definitions of the spatial observational units and in this way
introduce a statistical bias arising from the discretional characterization of space (the so-called
modifiable areal unit problem or MAUP bias, see Arbia, 1989). Secondly, theoretical models of
new firms’ entries and exits generally postulate the behavior of the individual economic agent (see
Hopenhayn, 1992; Krueger, 2003; Lazear, 2005 among others). On one hand, this implies that
empirical methods based on regional aggregates can provide proper evidence to the theoretical
models only if the restrictive assumption of homogeneity of firm’s behavior across regions holds
true. On the other hand, it is not possible to disentangle the main kinds of agglomeration economies
into localization economies and urbanization economies, which is an important aim in the study of
spatial determinants of firm demographic events (see Renski, 2011; De Silva and McComb, 2012
among others).
However, the lack of a systematic approach to analysis of this data at a micro-territorial level –
where the observations refer to the geographical coordinates of each individual firm – has partially
limited the possibility of obtaining robust evidence of the firm demographic phenomenon mainly
due to a problem of data scarcity and reliability. This may be regarded as a potential limitation for
at least two reasons. First of all, geographically aggregated data (such as regional firm entry and
exit rates) are based on arbitrary definitions of the spatial observational units and in this way
introduce a statistical bias arising from the discretional characterization of space (the so-called
modifiable areal unit problem or MAUP bias, see Arbia, 1989). Secondly, theoretical models of
new firms’ entries and exits generally postulate the behavior of the individual economic agent (see
Hopenhayn, 1992; Krueger, 2003; Lazear, 2005 among others). On one hand, this implies that
empirical methods based on regional aggregates can provide proper evidence to the theoretical
models only if the restrictive assumption of homogeneity of firm’s behavior across regions holds
true. On the other hand, it is not possible to disentangle the main kinds of agglomeration economies
into localization economies and urbanization economies, which is an important aim in the study of
spatial determinants of firm demographic events (see Renski, 2011; De Silva and McComb, 2012
among others).
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However, the lack of a systematic approach to analysis of this data at a micro-territorial level –
where the observations refer to the geographical coordinates of each individual firm – has partially
limited the possibility of obtaining robust evidence of the firm demographic phenomenon mainly
due to a problem of data scarcity and reliability. This may be regarded as a potential limitation for
at least two reasons. First of all, geographically aggregated data (such as regional firm entry and
exit rates) are based on arbitrary definitions of the spatial observational units and in this way
introduce a statistical bias arising from the discretional characterization of space (the so-called
modifiable areal unit problem or MAUP bias, see Arbia, 1989). Secondly, theoretical models of
new firms’ entries and exits generally postulate the behavior of the individual economic agent (see
Hopenhayn, 1992; Krueger, 2003; Lazear, 2005 among others). On one hand, this implies that
empirical methods based on regional aggregates can provide proper evidence to the theoretical
models only if the restrictive assumption of homogeneity of firm’s behavior across regions holds
true. On the other hand, it is not possible to disentangle the main kinds of agglomeration economies
into localization economies and urbanization economies, which is an important aim in the study of
spatial determinants of firm demographic events (see Renski, 2011; De Silva and McComb, 2012
among others).
การแปล กรุณารอสักครู่..