Estimation of Local Employment Growth: Do Sectoral Aggregation and Industry Definition Matter?

Mameli, Francesca; Faggian, Alessandra; McCann, Philip

doi:10.1080/00343404.2012.756578

Cited by 20 publications

(28 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Thus, there is evidence that Brazilian regions are gaining benefits from agglomeration, that is, a higher number of workers in a region. This result is similar to those found by Paci and Usai () and Mameli et al (), for the Italian economy, but different from Combes (), who found that density is negatively associated to employment growth in France.…”

Section: Resultssupporting

confidence: 91%

“…The choice of two or three‐digit aggregation levels produces changes in both signal and significance level of the estimated coefficients and reinforces the conclusions of Beaudry and Schiffauerova () and Kemeny and Storper () that the sectoral aggregation level needs to be treated carefully. Mameli et al () also found that estimates in a three‐digit or more industrial classification are more consistent with economic theory. Similarly, in the Brazilian case, regressions with three digits present a greater number of statistically significant variables.…”

Section: Resultsmentioning

confidence: 79%

“…For the Brazilian economy, Catela et al () and Barufi et al () also identified a positive effect for Brazil. Graham (), Kemeny and Storper () and Caragliu et al () found a positive effect of specialization on local growth for Great Britain, the United States and European regions, while Mameli et al () identified positive effects of specialization for industry at three‐digits of aggregation for Italy, although it found a negative effect at two‐digits.…”

Section: Resultsmentioning

confidence: 99%

See 2 more Smart Citations

Effects of dynamic and spatial externalities on local growth: Evidence from Brazil

Araújo

Gonçalves

Almeida

2019

Papers in Regional Science

View full text Add to dashboard Cite

This paper analyses the impact of economic externalities on the local growth emphasizing the industrial, geographic, and temporal scope of agglomeration economies. Thus, we estimated a spatial dynamic panel model using GMM associated with the use of data at different levels of sectoral aggregation. Estimation takes into account the endogeneity of agglomeration economies. Our database consists of 558 Brazilian regions for 1995–2015. The main results suggest that while externalities act in a local dimension they also have a regional scale. These externalities are determined by their temporal trajectory. The effects of agglomeration economies on local growth are sensitive to the choice of sectoral aggregation. Local growth exhibits positive specialization effects and negative diversity effects. However, greater industrial diversity of neighbouring regions has a positive impact on local growth.

show abstract

Section: Resultssupporting

confidence: 91%

Section: Resultsmentioning

confidence: 79%

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Effects of dynamic and spatial externalities on local growth: Evidence from Brazil

Araújo

Gonçalves

Almeida

2019

Papers in Regional Science

View full text Add to dashboard Cite

show abstract

“…These are included in our model as small operations substantially contributed to manufactruing growth, and large firms can influence the overall manufacturing growth within Indonesian locations as they lead large operations (see Figure 1). Mameli, Faggian, and Mccann (2014) test for agglomeration externalities at different levels of sectoral aggregations (two and three-digit) in Italy using a constant geographical scale. In addition, we extend equations 8 and 9 by disaggregating variety (VARIETY i ) into unrelated (UV i ) and related (RV i ) varieties based on KBLI 2005, and the latter indicator is further decomposed into H-MH (RVHMH i ), and medium-low and low (ML-L) (RVMLL i ) technology intensity related industries based on OECD's classification (2011).…”

Section: The Influence Of Agglomeration Externalities 97mentioning

confidence: 99%

The Influence of Agglomeration Externalities on Manufacturing Growth Within Indonesian Locations

Ercole¹,

O’Neill²

2016

Growth and Change

View full text Add to dashboard Cite

Differences in agglomeration externalities and industrial regimes between locations generate performance differentials for their localized economic activities. For more than two decades, scholars have debated which externality is dominant for growth and under which regime. This study aims to resolve this debate by analyzing the influence of agglomeration economies on the growth of five‐digit manufacturing sectors and firms for Indonesian cities and regencies between 2000 and 2009. This is investigated employing the recent reconceptualization of variety based on sectoral linkages distinguishing related and unrelated varieties, which allow assessing their idiosyncratic economic roles. The findings support that economic relatedness is the dominant source for expansion of sectors and firms within Indonesian locations. Specialized clusters and competition are inversely related to manufacturing growth, although the latter fosters sectoral employment within Indonesian regencies. Population density and human capital show antithetic effects between cities and regencies due to their distinctive urbanization trajectories and industrial compositions.

show abstract

“…As in Mameli, Faggian, and McCann (2014), urbanization is measured using the Herfindahl-Hirschman Index which is computed as P j s 2 jrt , where s jrt is the employment share of two-digit manufacturing industry j (except the industry under consideration) in region r at time t.…”

Section: Agglomeration and Selection: Controlling For Spatial Sortingmentioning

confidence: 99%

Agglomeration Economies or Selection? An Analysis of Taiwanese Science Parks

Hasan

Faggian

Klaiber

et al. 2016

International Regional Science Review

Self Cite

View full text Add to dashboard Cite

Agglomeration spillovers are a major driver of policy creating science parks across the world. However, agglomeration benefits may be offset by competition arising out of spatial proximity of firms. Analysis of Taiwanese firms' total factor productivity distribution shows that, depending on location choice, the impact of agglomeration and selection is heterogeneous across firm types. Spatial analysis is applied to evaluate the regional innovation policy of establishing science parks. A sectoral analysis of productivity distributions reveals that there is a positive relationship between technology intensity of the production process and firm productivity levels when firms are located in science parks.

show abstract

Estimation of Local Employment Growth: Do Sectoral Aggregation and Industry Definition Matter?

Cited by 20 publications

References 32 publications

Effects of dynamic and spatial externalities on local growth: Evidence from Brazil

Effects of dynamic and spatial externalities on local growth: Evidence from Brazil

The Influence of Agglomeration Externalities on Manufacturing Growth Within Indonesian Locations

Agglomeration Economies or Selection? An Analysis of Taiwanese Science Parks

Contact Info

Product

Resources

About