Matches in SemOpenAlex for { <https://semopenalex.org/work/W2230360416> ?p ?o ?g. }
- W2230360416 endingPage "lbw027" @default.
- W2230360416 startingPage "lbw027" @default.
- W2230360416 abstract "The mobility of workers is an important source of regional dynamics, but the effect of mobility on regional productivity growth is not straightforward, as some firms tend to win while others lose from mobility. In the present paper, we argue that the co-worker networks across plants that are established by labour moves are important for both local learning opportunities and job matching quality and should hence facilitate regional growth. We therefore propose a new homophily-biased perspective on co-worker network creation and show that it suits geographical analyses better than random networks do. Moreover, panel vector autoregression models provide systematic evidence that an increase in co-worker network density is positively related to regional productivity growth. This is found to be important even when only ties across plants that are not directly linked by labour mobility are included." @default.
- W2230360416 created "2016-06-24" @default.
- W2230360416 creator A5005839111 @default.
- W2230360416 creator A5057571225 @default.
- W2230360416 date "2016-09-29" @default.
- W2230360416 modified "2023-10-10" @default.
- W2230360416 title "Co-worker networks, labour mobility and productivity growth in regions" @default.
- W2230360416 cites W1511088604 @default.
- W2230360416 cites W1954046363 @default.
- W2230360416 cites W1971906255 @default.
- W2230360416 cites W1978419189 @default.
- W2230360416 cites W1978710835 @default.
- W2230360416 cites W1979457684 @default.
- W2230360416 cites W1986872223 @default.
- W2230360416 cites W1992275466 @default.
- W2230360416 cites W1992717616 @default.
- W2230360416 cites W2001413321 @default.
- W2230360416 cites W2020600511 @default.
- W2230360416 cites W2033313266 @default.
- W2230360416 cites W2040880027 @default.
- W2230360416 cites W2041834238 @default.
- W2230360416 cites W2049607688 @default.
- W2230360416 cites W2054913454 @default.
- W2230360416 cites W2060207783 @default.
- W2230360416 cites W2061990921 @default.
- W2230360416 cites W2063481858 @default.
- W2230360416 cites W2065402122 @default.
- W2230360416 cites W2067831995 @default.
- W2230360416 cites W2079982544 @default.
- W2230360416 cites W2087765149 @default.
- W2230360416 cites W2092532477 @default.
- W2230360416 cites W2094471435 @default.
- W2230360416 cites W2096611253 @default.
- W2230360416 cites W2098834062 @default.
- W2230360416 cites W2099021783 @default.
- W2230360416 cites W2104111371 @default.
- W2230360416 cites W2107081237 @default.
- W2230360416 cites W2108697536 @default.
- W2230360416 cites W2108708034 @default.
- W2230360416 cites W2109469951 @default.
- W2230360416 cites W2111564945 @default.
- W2230360416 cites W2115322324 @default.
- W2230360416 cites W2116982410 @default.
- W2230360416 cites W2119224570 @default.
- W2230360416 cites W2126868602 @default.
- W2230360416 cites W2129208071 @default.
- W2230360416 cites W2130354913 @default.
- W2230360416 cites W2143585157 @default.
- W2230360416 cites W2158469405 @default.
- W2230360416 cites W2162385959 @default.
- W2230360416 cites W2162482203 @default.
- W2230360416 cites W2163495370 @default.
- W2230360416 cites W2166271197 @default.
- W2230360416 cites W2171651124 @default.
- W2230360416 cites W2326863866 @default.
- W2230360416 cites W2364865162 @default.
- W2230360416 cites W3102928181 @default.
- W2230360416 cites W3123604010 @default.
- W2230360416 cites W3123794974 @default.
- W2230360416 cites W3124610099 @default.
- W2230360416 cites W3125816847 @default.
- W2230360416 cites W4205713758 @default.
- W2230360416 cites W4239567262 @default.
- W2230360416 cites W4244387885 @default.
- W2230360416 cites W4255106604 @default.
- W2230360416 cites W4312512934 @default.
- W2230360416 cites W950821216 @default.
- W2230360416 doi "https://doi.org/10.1093/jeg/lbw027" @default.
- W2230360416 hasPublicationYear "2016" @default.
- W2230360416 type Work @default.
- W2230360416 sameAs 2230360416 @default.
- W2230360416 citedByCount "4" @default.
- W2230360416 countsByYear W22303604162017 @default.
- W2230360416 countsByYear W22303604162021 @default.
- W2230360416 countsByYear W22303604162022 @default.
- W2230360416 crossrefType "journal-article" @default.
- W2230360416 hasAuthorship W2230360416A5005839111 @default.
- W2230360416 hasAuthorship W2230360416A5057571225 @default.
- W2230360416 hasBestOaLocation W22303604161 @default.
- W2230360416 hasConcept C105795698 @default.
- W2230360416 hasConcept C111472728 @default.
- W2230360416 hasConcept C12713177 @default.
- W2230360416 hasConcept C138885662 @default.
- W2230360416 hasConcept C144024400 @default.
- W2230360416 hasConcept C145236788 @default.
- W2230360416 hasConcept C149782125 @default.
- W2230360416 hasConcept C154945302 @default.
- W2230360416 hasConcept C162324750 @default.
- W2230360416 hasConcept C165064840 @default.
- W2230360416 hasConcept C204983608 @default.
- W2230360416 hasConcept C26271046 @default.
- W2230360416 hasConcept C2779530757 @default.
- W2230360416 hasConcept C2779812341 @default.
- W2230360416 hasConcept C33923547 @default.
- W2230360416 hasConcept C36289849 @default.
- W2230360416 hasConcept C41008148 @default.
- W2230360416 hasConcept C4249254 @default.
- W2230360416 hasConcept C50522688 @default.