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Productivity growth and global value chain participation in the digital age. (2020). Battiati, Claudio ; Sopranzetti, Silvia ; Jona-Lasinio, Cecilia.
In: Economic Statistics Centre of Excellence (ESCoE) Discussion Papers.
RePEc:nsr:escoed:escoe-dp-2020-04.

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  1. Italy and the trap of GVC downgrading: labour dependence in the European geography of production. (2023). Virgillito, Maria Enrica ; Riccio, Federico ; Dosi, Giovanni ; Cresti, Lorenzo.
    In: LEM Papers Series.
    RePEc:ssa:lemwps:2023/15.

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  2. Weak sectors and weak ties? Labour dependence and asymmetric positioning in GVCs. (2023). Virgillito, Maria Enrica ; Cresti, Lorenzo.
    In: LEM Papers Series.
    RePEc:ssa:lemwps:2023/10.

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  3. Bribery, global value chain decisions, and institutional constraints: Evidence from a cross-country firm-level data. (2023). Thanh, To Trung ; Dung, Hoang Phuong.
    In: International Economics.
    RePEc:eee:inteco:v:173:y:2023:i:c:p:119-142.

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  4. How Does GVCS Participation Influence Manufacturing Productivity? The Case of China. (2022). Hua, Ping.
    In: Post-Print.
    RePEc:hal:journl:hal-03767838.

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  5. How did Chinas GVCs participation influence its manufacturing productivity?. (2021). Hua, Ping.
    In: Working Papers.
    RePEc:hal:wpaper:hal-03505687.

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  5. B Instrumenting GVC participation The estimation of our benchmark equation may violate the assumption of strict exogeneity therefore we choose to follow the Kummritz (2016) approach instrumenting for GVC participation . Both the GVCs indicators we use are calculated summing up for each country and sector combination, bilateral value added flows,therefore to built our IV we need at first to predict the bilateral value added flows then used as instruments in a 2SLS. To predict the vaeijkl flows we need to take in account two dimensions:the distance between countries i and j and the distance between industries k and j. We could estimate country distance using the bilateral trade costs and the industrial distance as the number of intermediate stages between them: the interaction of this two components will be use in a ”zero” stage to instrument the vae bilateral flows .
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  43. X j vaeikjlt We estimate 4 di↵erent instrumental variables as in Kummritz (2016): the first is the same as the one in Kummritz (2016) with bilateral gross export trade costs and industrial distance aggregated for all the years in the sample, the second is estimated using bilateral gross export trade costs and industrial distance computed for every year, the third is generated using bilateral value added trade costs and industrial distance aggregated over time in our the sample and finally the fourth is obtained using bilateral value added trade costs and industrial distance calculated for every year.
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