Research article

Top exporters and regional export specialization

  • Received: 30 July 2024 Revised: 21 November 2024 Accepted: 09 December 2024 Published: 18 December 2024
  • JEL Codes: D22, L11, L25, F12, F14

  • We examined the role of top exporters in sub-national export specialization using Spanish firm-level export data at the province (NUTS 3) level. Our results show that, on average, 28% of aggregate exports in each province are in sectors where the top exporter determines the revealed comparative advantage (RCA). Moreover, provinces with sectors where the top exporter determines the RCA exhibit a more unstable pattern of export specialization over time. This result suggests that the characteristics and strategies of large firms may affect regional specialization patterns.

    Citation: Juan De Lucio, Raúl Mínguez, Asier Minondo, Francisco Requena. Top exporters and regional export specialization[J]. National Accounting Review, 2024, 6(4): 564-572. doi: 10.3934/NAR.2024026

    Related Papers:

    [1] Michael Herty, Lorenzo Pareschi, Sonja Steffensen . Mean--field control and Riccati equations. Networks and Heterogeneous Media, 2015, 10(3): 699-715. doi: 10.3934/nhm.2015.10.699
    [2] Nastassia Pouradier Duteil . Mean-field limit of collective dynamics with time-varying weights. Networks and Heterogeneous Media, 2022, 17(2): 129-161. doi: 10.3934/nhm.2022001
    [3] Seung-Yeal Ha, Jeongho Kim, Jinyeong Park, Xiongtao Zhang . Uniform stability and mean-field limit for the augmented Kuramoto model. Networks and Heterogeneous Media, 2018, 13(2): 297-322. doi: 10.3934/nhm.2018013
    [4] Martino Bardi . Explicit solutions of some linear-quadratic mean field games. Networks and Heterogeneous Media, 2012, 7(2): 243-261. doi: 10.3934/nhm.2012.7.243
    [5] András Bátkai, Istvan Z. Kiss, Eszter Sikolya, Péter L. Simon . Differential equation approximations of stochastic network processes: An operator semigroup approach. Networks and Heterogeneous Media, 2012, 7(1): 43-58. doi: 10.3934/nhm.2012.7.43
    [6] Fabio Camilli, Italo Capuzzo Dolcetta, Maurizio Falcone . Preface. Networks and Heterogeneous Media, 2012, 7(2): i-ii. doi: 10.3934/nhm.2012.7.2i
    [7] Olivier Guéant . New numerical methods for mean field games with quadratic costs. Networks and Heterogeneous Media, 2012, 7(2): 315-336. doi: 10.3934/nhm.2012.7.315
    [8] Michele Gianfelice, Enza Orlandi . Dynamics and kinetic limit for a system of noiseless d-dimensional Vicsek-type particles. Networks and Heterogeneous Media, 2014, 9(2): 269-297. doi: 10.3934/nhm.2014.9.269
    [9] Mattia Bongini, Massimo Fornasier, Oliver Junge, Benjamin Scharf . Sparse control of alignment models in high dimension. Networks and Heterogeneous Media, 2015, 10(3): 647-697. doi: 10.3934/nhm.2015.10.647
    [10] Maria Teresa Chiri, Xiaoqian Gong, Benedetto Piccoli . Mean-field limit of a hybrid system for multi-lane car-truck traffic. Networks and Heterogeneous Media, 2023, 18(2): 723-752. doi: 10.3934/nhm.2023031
  • We examined the role of top exporters in sub-national export specialization using Spanish firm-level export data at the province (NUTS 3) level. Our results show that, on average, 28% of aggregate exports in each province are in sectors where the top exporter determines the revealed comparative advantage (RCA). Moreover, provinces with sectors where the top exporter determines the RCA exhibit a more unstable pattern of export specialization over time. This result suggests that the characteristics and strategies of large firms may affect regional specialization patterns.





    [1] Bernard AB, Jensen JB, Redding SJ, et al. (2009) The margins of US trade. Am Econ Rev 99: 487–493. https://doi.org/10.1257/aer.99.2.487 doi: 10.1257/aer.99.2.487
    [2] de Lucio J, Mínguez R, Minondo A, et al. (2017) The granularity of Spanish exports. SERIEs 8:225–259. https://doi.org/10.1007/s13209-017-0157-x doi: 10.1007/s13209-017-0157-x
    [3] de Lucio J, Mínguez R, Minondo A, et al. (2023) The importance of the top exporter in regional exports. Investig Reg 57: 137–143. https://doi.org/10.38191/iirr-jorr.23.021 doi: 10.38191/iirr-jorr.23.021
    [4] di Giovanni JD, Levchenko AA (2012) Country Size, International Trade, and Aggregate Fluctuations in Granular Economies. J Polit Econ 120: 1083–1132. https://doi.org/10.1086/669161 doi: 10.1086/669161
    [5] Freund C, Pierola MD (2015) Export Superstars. Rev Econ Stat 97: 1023–32. https://doi.org/10.1162/REST_a_00511 doi: 10.1162/REST_a_00511
    [6] Gabaix X (2011) The Granular Origins of Aggregate Fluctuations. Econometrica 79: 733–772. https://doi.org/10.3982/ECTA8769 doi: 10.3982/ECTA8769
    [7] Laursen K (2015) Revealed comparative advantage and the alternatives as measures of international specialization. Euroasian Bus Rev 5: 99–115. https://doi.org/10.1007/s40821-015-0017-1 doi: 10.1007/s40821-015-0017-1
  • NAR-06-04-026-S001.docx
  • This article has been cited by:

    1. Michael Herty, Dante Kalise, 2018, Suboptimal nonlinear feedback control laws for collective dynamics, 978-1-5386-6089-8, 556, 10.1109/ICCA.2018.8444303
    2. Melanie Harms, Simone Bamberger, Eva Zerz, Michael Herty, On d-Collision-Free Dynamical Systems, 2022, 55, 24058963, 25, 10.1016/j.ifacol.2022.11.303
    3. Fuguo Xu, Qiaobin Fu, Tielong Shen, PMP-based numerical solution for mean field game problem of general nonlinear system, 2022, 146, 00051098, 110655, 10.1016/j.automatica.2022.110655
    4. M. K. Banda, M. Herty, T. Trimborn, 2020, Chapter 7, 978-3-030-50449-6, 133, 10.1007/978-3-030-50450-2_7
    5. Michael Herty, Anna Thunen, 2021, Consistent Control of a Stackelberg Game with Infinitely many Followers, 978-1-6654-3659-5, 918, 10.1109/CDC45484.2021.9682798
    6. Michael Herty, Hui Yu, 2016, Boundary stabilization of hyperbolic conservation laws using conservative finite volume schemes, 978-1-5090-1837-6, 5577, 10.1109/CDC.2016.7799126
    7. Giacomo Albi, Michael Herty, Dante Kalise, Chiara Segala, Moment-Driven Predictive Control of Mean-Field Collective Dynamics, 2022, 60, 0363-0129, 814, 10.1137/21M1391559
    8. Giacomo Albi, Emiliano Cristiani, Lorenzo Pareschi, Daniele Peri, 2020, Chapter 8, 978-3-030-50449-6, 159, 10.1007/978-3-030-50450-2_8
    9. Michael Herty, Sonja Steffensen, Anna Thünen, Multiscale control of Stackelberg games, 2022, 200, 03784754, 468, 10.1016/j.matcom.2022.04.028
    10. Marco Caponigro, Benedetto Piccoli, Francesco Rossi, Emmanuel Trélat, Mean-field sparse Jurdjevic–Quinn control, 2017, 27, 0218-2025, 1223, 10.1142/S0218202517400140
    11. Bertram Düring, Lorenzo Pareschi, Giuseppe Toscani, Kinetic models for optimal control of wealth inequalities, 2018, 91, 1434-6028, 10.1140/epjb/e2018-90138-1
    12. Yan Ma, Minyi Huang, Linear quadratic mean field games with a major player: The multi-scale approach, 2020, 113, 00051098, 108774, 10.1016/j.automatica.2019.108774
    13. Michael Herty, Mattia Zanella, Performance bounds for the mean-field limit of constrained dynamics, 2017, 37, 1553-5231, 2023, 10.3934/dcds.2017086
    14. Aylin Aydoğdu, Marco Caponigro, Sean McQuade, Benedetto Piccoli, Nastassia Pouradier Duteil, Francesco Rossi, Emmanuel Trélat, 2017, Chapter 3, 978-3-319-49994-9, 99, 10.1007/978-3-319-49996-3_3
    15. Giacomo Albi, Lorenzo Pareschi, Mattia Zanella, Boltzmann Games in Heterogeneous Consensus Dynamics, 2019, 175, 0022-4715, 97, 10.1007/s10955-019-02246-y
    16. Michael Herty, Lorenzo Pareschi, Sonja Steffensen, 2019, Chapter 5, 978-3-030-20296-5, 149, 10.1007/978-3-030-20297-2_5
    17. A. Medaglia, G. Colelli, L. Farina, A. Bacila, P. Bini, E. Marchioni, S. Figini, A. Pichiecchio, M. Zanella, Uncertainty quantification and control of kinetic models of tumour growth under clinical uncertainties, 2022, 141, 00207462, 103933, 10.1016/j.ijnonlinmec.2022.103933
    18. Giacomo Albi, Federica Ferrarese, Chiara Segala, 2021, Chapter 5, 978-3-030-91645-9, 97, 10.1007/978-3-030-91646-6_5
    19. Minyi Huang, Mengjie Zhou, Linear Quadratic Mean Field Games: Asymptotic Solvability and Relation to the Fixed Point Approach, 2020, 65, 0018-9286, 1397, 10.1109/TAC.2019.2919111
    20. Eva Zerz, Michael Herty, Collision-Free Dynamical Systems , 2019, 52, 24058963, 72, 10.1016/j.ifacol.2019.11.029
    21. Giacomo Albi, Michael Herty, Chiara Segala, Robust Feedback Stabilization of Interacting Multi-agent Systems Under Uncertainty, 2024, 89, 0095-4616, 10.1007/s00245-023-10078-2
    22. Xiaoqian Gong, Michael Herty, Benedetto Piccoli, Giuseppe Visconti, Crowd Dynamics: Modeling and Control of Multiagent Systems, 2023, 6, 2573-5144, 261, 10.1146/annurev-control-060822-123629
    23. Christian Fiedler, Michael Herty, Sebastian Trimpe, Mean-Field Limits for Discrete-Time Dynamical Systems via Kernel Mean Embeddings, 2023, 7, 2475-1456, 3914, 10.1109/LCSYS.2023.3341280
    24. Martin Gugat, Michael Herty, Jiehong Liu, Chiara Segala, The turnpike property for high‐dimensional interacting agent systems in discrete time, 2024, 45, 0143-2087, 2557, 10.1002/oca.3172
    25. Michael Herty, Yizhou Zhou, Exponential turnpike property for particle systems and mean-field limit, 2025, 0956-7925, 1, 10.1017/S0956792524000871
    26. Giacomo Albi, Sara Bicego, Michael Herty, Yuyang Huang, Dante Kalise, Chiara Segala, 2025, Chapter 2, 978-3-031-85255-8, 29, 10.1007/978-3-031-85256-5_2
    27. Giacomo Albi, Sara Bicego, Dante Kalise, Control of high-dimensional collective dynamics by deep neural feedback laws and kinetic modelling, 2025, 539, 00219991, 114229, 10.1016/j.jcp.2025.114229
  • Reader Comments
  • © 2024 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(934) PDF downloads(52) Cited by(0)

Article outline

Figures and Tables

Figures(1)  /  Tables(4)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog