TY - JOUR
T1 - What drives the geography of jobs in the US?
T2 - Unpacking relatedness
AU - Farinha Fernandes, Teresa
AU - Balland, Pierre Alexandre
AU - Morrison, Andrea
AU - Boschma, Ron
PY - 2019/1/1
Y1 - 2019/1/1
N2 - There is ample evidence of regions diversifying in new occupations that are related to pre-existing activities in the region. However, it is still poorly understood through which mechanisms related diversification operates. To unpack relatedness, we distinguish between three mechanisms: complementarity (interdependent tasks), similarity (sharing similar skills) and local synergy (based on pure co-location). We propose a measure for each of these relatedness dimensions and assess their impact on the evolution of the occupational structure of 389 US Metropolitan Statistical Areas (MSA) for the period 2005–2016. Our findings show that new jobs appearing in MSA’s are related to existing ones, while those more likely to disappear are more unrelated to a city’s jobs’ portfolio. We found that all three relatedness dimensions matter, but local synergy shows the largest impact on entry and exit of jobs in US cities, thus being the strongest force of diversification.
AB - There is ample evidence of regions diversifying in new occupations that are related to pre-existing activities in the region. However, it is still poorly understood through which mechanisms related diversification operates. To unpack relatedness, we distinguish between three mechanisms: complementarity (interdependent tasks), similarity (sharing similar skills) and local synergy (based on pure co-location). We propose a measure for each of these relatedness dimensions and assess their impact on the evolution of the occupational structure of 389 US Metropolitan Statistical Areas (MSA) for the period 2005–2016. Our findings show that new jobs appearing in MSA’s are related to existing ones, while those more likely to disappear are more unrelated to a city’s jobs’ portfolio. We found that all three relatedness dimensions matter, but local synergy shows the largest impact on entry and exit of jobs in US cities, thus being the strongest force of diversification.
KW - Evolutionary economic geography
KW - J24
KW - jobs
KW - O18
KW - R10
KW - regional capabilities
KW - relatedness
KW - US cities
UR - https://www.scopus.com/pages/publications/85063972681
U2 - 10.1080/13662716.2019.1591940
DO - 10.1080/13662716.2019.1591940
M3 - Article
AN - SCOPUS:85063972681
SN - 1366-2716
VL - 26
SP - 988
EP - 1022
JO - Industry and Innovation
JF - Industry and Innovation
IS - 9
ER -