This document has not been cited yet.

1. Agostino, M., Di Tommaso, M. R., Nifo, A., Rubini, L., & Trivieri, F. (2020). Institutional quality and firms’ productivity in European regions. Regional Studies, 54(9), 1275–1288. https://doi.org/10.1080/00343404.2020.1712689.
   Paper not yet in RePEc: Add citation now
   

2. Alcidi, C. (2019). Economic integration and income convergence in the EU. Intereconomics, 54(1), 5–11. https://doi.org/10.1007/s10272‐019‐0783‐6.

3. Alvaredo, F., Chancel, L., Piketty, T. S., & Zucman, G. (Eds.) (2018)., World inequality report 2018. Belknap Press.

4. Ameijeiras‐Alonso, J., Crujeiras, R. M., & Rodríguez‐Casal, A. (2019). Mode testing, critical bandwidth and excess mass. Test, 28(3), 900–919. https://doi.org/10.1007/s11749‐018‐0611‐5.

5. Annoni, P., de Dominicis, L., & Khabirpour, N. (2019). Location matters: A spatial econometric analysis of regional resilience in the European union. Growth and Change, 50(3), 834–855. https://doi.org/10.1111/grow.12311.

6. Antonelli, C., Patrucco, P. P., & Quatraro, F. (2011). Productivity growth and pecuniary knowledge externalities: An empirical analysis of agglomeration economies in European regions. Economic Geography, 87(1), 23–50. https://doi.org/10.1111/j.1944‐8287.2010.01104.x.

7. Auteri, M., Guccio, C., Pammolli, F., Pignataro, G., & Vidoli, F. (2019). Spatial heterogeneity in non‐parametric efficiency: An application to Italian hospitals. Social Science and Medicine, 239, 112544. https://doi.org/10.1016/j.socscimed.2019.112544.
   Paper not yet in RePEc: Add citation now
   

8. Ayouba, K. (2023). Spatial dependence in production Frontier models. Journal of Productivity Analysis, 60(1), 21–36. https://doi.org/10.1007/s11123‐023‐00670‐7.

9. Bădin, L., Daraio, C., & Simar, L. (2010). Optimal bandwidth selection for conditional efficiency measures: A data‐driven approach. European Journal of Operational Research, 201(2), 633–640. https://doi.org/10.1016/j.ejor.2009.03.038.

10. Bădin, L., Daraio, C., & Simar, L. (2012). How to measure the impact of environmental factors in a nonparametric production model? European Journal of Operational Research, 223(3), 818–833. https://doi.org/10.1016/j.ejor.2012.06.028.

11. Bădin, L., Daraio, C., & Simar, L. (2019). A bootstrap approach for bandwidth selection in estimating conditional efficiency measures. European Journal of Operational Research, 277(2), 784–797. https://doi.org/10.1016/j.ejor.2019.02.054.

12. Badinger, H., Müller, W., & Tondl, G. (2004). Regional convergence in the European union, 1985‐1999: A spatial dynamic panel analysis. Regional Studies, 38(3), 241–253. https://doi.org/10.1080/003434042000211105.

13. Badunenko, O., Henderson, D. J., & Russell, R. R. (2013). Polarization of the worldwide distribution of productivity. Journal of Productivity Analysis, 40(2), 153–171. https://doi.org/10.1007/s11123‐012‐0328‐5.

14. Badunenko, O., Henderson, D. J., & Zelenyuk, V. (2018). The productivity of nations. In E. Grifell‐Tatjé, C. A. Knox Lovell, & R. C. Sickles (Eds.), The oxford handbook of productivity analysis. Oxford University Press.
    Paper not yet in RePEc: Add citation now
    
15. Basile, R. (2009). Productivity polarization across regions in Europe: The role of nonlinearities and spatial dependence. International Regional Science Review, 32(1), 92–115. https://doi.org/10.1177/0160017608326944.
    Paper not yet in RePEc: Add citation now
    
16. Benito, J. M., & Ezcurra, R. (2005). Spatial disparities in productivity and industry mix: The case of the European regions. European Urban and Regional Studies, 12(2), 177–194. https://doi.org/10.1177/0969776405053743.
    Paper not yet in RePEc: Add citation now
    

17. Bernhardt, I. (1981). Sources of productivity differences among Canadian manufacturing industries. The Review of Economics and Statistics, 63(4), 503–512. https://doi.org/10.2307/1935845.

18. Beugelsdijk, S., Klasing, M. J., & Milionis, P. (2018). Regional economic development in Europe: The role of total factor productivity. Regional Studies, 52(4), 461–476. https://doi.org/10.1080/00343404.2017.1334118.

19. Blanchet, T., Chancel, L., & Gethin, A. (2019). How unequal is Europe? Evidence from distributional national accounts, 1980‐2017. WID.world Working Paper, No. 2019/06.

20. Bruno, R. L., Douarin, E., Korosteleva, J., & Radosevic, S. (2019). Determinants of productivity gap in the European union: A multilevel perspective. Institute of Labor Economics (IZA) Discussion Papers. No. 12542.
    Paper not yet in RePEc: Add citation now
    

21. Cainelli, G., Ganau, R., & Giunta, A. (2022). Business groups, institutions, and firm performance. Industrial and Corporate Change, 31(1), 215–233. https://doi.org/10.1093/icc/dtab046.

22. Cazals, C., Florens, J. P., & Simar, L. (2002). Nonparametric Frontier estimation: A robust approach. Journal of Econometrics, 106(1), 1–25. https://doi.org/10.1016/s0304‐4076(01)00080‐x.

23. Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision‐making units. European Journal of Operational Research, 2(6), 429–444. https://doi.org/10.1016/0377‐2217(78)90138‐8.

24. Charnes, A., Cooper, W. W., & Rhodes, E. (1981). Evaluating program and managerial efficiency: An application of data envelopment analysis to program follow through. Management Science, 27(6), 668–697. https://doi.org/10.1287/mnsc.27.6.668.

25. Cohen, J. P., & Morrison, P. C. J. (2009). Agglomeration, productivity and regional growth: Production theory approaches. In R. Capello & P. Nijkamp (Eds.), Handbook of regional growth and development theories. Edward Elgar. Cheltenham 101–117.
    Paper not yet in RePEc: Add citation now
    
26. Cohen, J. P., Coughlin, C. C., & Paul, C. J. M. (2019). Agglomeration, productivity and regional growth: Production theory approaches. In R. Capello & P. Nijkamp (Eds.), Handbook of regional growth and development theories: Revised and extended (2nd ed., pp. 104–123). Edward Elgar Publishing.
    Paper not yet in RePEc: Add citation now
    

27. Cosci, S., & Mirra, L. (2018). A spatial analysis of growth and convergence in Italian provinces: The role of road infrastructure. Regional Studies, 52(4), 516–527. https://doi.org/10.1080/00343404.2017.1334117.

28. Cyrek, M., & Fura, B. (2019). Employment for sustainable development: Sectoral efficiencies in EU countries. Social Indicators Research, 143(1), 277–318. https://doi.org/10.1007/s11205‐018‐1970‐8.

29. Daraio, C., & Simar, L. (2005). Introducing environmental variables in nonparametric Frontier models: A probabilistic approach. Journal of Productivity Analysis, 24(1), 93–121. https://doi.org/10.1007/s11123‐005‐3042‐8.

30. Daraio, C., & Simar, L. (2007). Conditional nonparametric Frontier models for convex and non‐convex technologies: A unifying approach. Journal of Productivity Analysis, 28(1), 13–32. https://doi.org/10.1007/s11123‐007‐0049‐3.

31. Davis, M. A., Fisher, J. D. M., & Whited, T. M. (2014). Macroeconomic implications of agglomeration. Econometrica, 82(2), 731–764.

32. De Groot, H., Poot, J., & Smit, M. J. (2016). Which agglomeration externalities matter most and why. Journal of Economic Surveys, 30(4), 756–782. https://doi.org/10.1111/joes.12112.

33. De Siano, R., & D’Uva, M. (2006). Club convergence in European regions. Applied Economics Letters, 13(9), 569–574. https://doi.org/10.1080/13504850600733473.

34. De Witte, K., & Kortelainen, M. (2013). What explains performance of students in a heterogeneous environment? Conditional efficiency estimation with continuous and discrete environmental variables. Applied Economics, 45(17), 2401–2412. https://doi.org/10.1080/00036846.2012.665602.

35. Del Bo, C. F., & Florio, M. (2012). Infrastructure and growth in a spatial framework: Evidence from the EU regions. European Planning Studies, 20(8), 1393–1414. https://doi.org/10.1080/09654313.2012.680587.
    Paper not yet in RePEc: Add citation now
    
36. Dijkstra, L., Annoni, P., & Kozovska, K. (2011). A new regional competitiveness index: Theory, methods and findings. European Commission, Directorate‐General for Regional Policy. WP 02/2011.
    Paper not yet in RePEc: Add citation now
    
37. Dijkstra, L., Papadimitriou, E., Cabeza‐Martínez, B., de Dominicis, L., & Kovacic, M. (2023). EU regional competitiveness index 2.0 ‐ 2022 edition. European Commission, Directorate‐General for Regional and Urban Policy. WP 01/2023.
    Paper not yet in RePEc: Add citation now
    
38. Duranton, G., & Puga, D. (2004). Micro‐foundations of urban agglomeration economies. In J. V. Henderson & J. F. Thisse (Eds.), Handbook of regional and urban economics (pp. 2063–2117). Elsevier B. V.
    Paper not yet in RePEc: Add citation now
    
39. Emrouznejad, A., & Yang, G. L. (2018). A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016. Socio‐Economic Planning Sciences, 61(1), 4–8. https://doi.org/10.1016/j.seps.2017.01.008.
    Paper not yet in RePEc: Add citation now
    

40. Enflo, K., & Hjertstrand, P. (2009). Relative sources of European regional productivity convergence: A bootstrap frontier approach. Regional Studies, 43(5), 643–659. https://doi.org/10.1080/00343400701874198.

41. Epifani, P., & Gancia, G. (2006). Increasing returns, imperfect competition, and factor prices. The Review of Economics and Statistics, 88(4), 583–598. https://doi.org/10.1162/rest.88.4.583.

42. Escribá‐Pérez, F. J., & Murgui‐García, M. J. (2018). Technology catching‐up and regulation in European regions. Journal of Productivity Analysis, 49(1), 95–109. https://doi.org/10.1007/s11123‐017‐0524‐4.
    Paper not yet in RePEc: Add citation now
    

43. Färe, R., & Lovell, C. K. (1978). Measuring the technical efficiency of production. Journal of Economic Theory, 19(1), 150–162. https://doi.org/10.1016/0022‐0531(78)90060‐1.

44. Färe, R., Grosskopf, S., Norris, M., & Zhang, Z. (1994). Productivity growth, technical progress, and efficiency change in industrialized countries. The American Economic Review, 84(1), 66–83.

45. Feenstra, R. C., Inklaar, R., & Timmer, M. P. (2015). The next generation of the Penn world table. The American Economic Review, 105(10), 3150–3182. https://doi.org/10.1257/aer.20130954.

46. Filippetti, A., & Peyrache, A. (2015). Labor productivity and technology gap in European regions: A conditional Frontier approach. Regional Studies, 49(4), 532–554. https://doi.org/10.1080/00343404.2013.799768.

47. Fracasso, A., & Vittucci‐Marzetti, G. (2018). Estimating dynamic localization economies: The inadvertent success of the specialization index and the location quotient. Regional Studies, 52(1), 119–132. https://doi.org/10.1080/00343404.2017.1281388.

48. Fritsch, M., & Kublina, S. (2018). Related variety, unrelated variety and regional growth: The role of absorptive capacity and entrepreneurship. Regional Studies, 52(10), 1360–1371. https://doi.org/10.1080/00343404.2017.1388914.

49. Fritsch, M., & Slavtchev, V. (2011). Determinants of the efficiency of regional innovation systems. Regional Studies, 45(7), 905–918. https://doi.org/10.1080/00343400802251494.

50. Fusco, E., Vidoli, F., & Sahoo, B. K. (2018). Spatial heterogeneity in composite indicator: A methodological proposal. Omega, 77, 1–14. https://doi.org/10.1016/j.omega.2017.04.007.

51. Ganau, R., & Rodríguez‐Pose, A. (2023). Firm‐level productivity growth returns of social capital: Evidence from Western Europe. Journal of Regional Science, 63(3), 529–551. https://doi.org/10.1111/jors.12636.
    Paper not yet in RePEc: Add citation now
    

52. Gobillon, L., & Magnac, T. (2016). Regional policy evaluation: Interactive fixed effects and synthetic controls. The Review of Economics and Statistics, 98(3), 535–551. https://doi.org/10.1162/rest_a_00537.

53. Griffith, R., Huergo, E., Mairesse, J., & Peters, B. (2006). Innovation and productivity across four European countries. Oxford Review of Economic Policy, 22(4), 483–498. https://doi.org/10.1093/oxrep/grj028.

54. Haelermans, C., & De Witte, K. (2012). The role of innovations in secondary school performance: Evidence from a conditional efficiency model. European Journal of Operational Research, 223(2), 541–549. https://doi.org/10.1016/j.ejor.2012.06.030.

55. Hall, P., Racine, J., & Li, Q. (2004). Cross‐validation and the estimation of conditional probability densities. Journal of the American Statistical Association, 99(468), 1015–1026. https://doi.org/10.1198/016214504000000548.
    Paper not yet in RePEc: Add citation now
    

56. Henderson, D. J., & Russell, R. R. (2005). Human capital and convergence: A production‐frontier approach. International Economic Review, 46(4), 1167–1205. https://doi.org/10.1111/j.1468‐2354.2005.00364.x.

57. Jeong, S. O., Park, B. U., & Simar, L. (2010). Nonparametric conditional efficiency measures: Asymptotic properties. Annals of Operations Research, 173(1), 105–122. https://doi.org/10.1007/s10479‐008‐0359‐5.

58. Johnson, P., & Papageorgiou, C. (2020). What remains of cross‐country convergence? Journal of Economic Literature, 58(1), 129–175. https://doi.org/10.1257/jel.20181207.
    Paper not yet in RePEc: Add citation now
    

59. Kerr, W. R., & Kominers, S. D. (2015). Agglomerative forces and cluster shapes. The Review of Economics and Statistics, 97(4), 877–899. https://doi.org/10.1162/rest_a_00471.

60. Kock, W. (2010). Growth and spatial dependence in Europe. In A. Páez, J. Gallo, R. N. Buliung, & S. Dall'erba (Eds.), Progress in spatial analysis: Methods and applications. Springer Science and Business Media.
    Paper not yet in RePEc: Add citation now
    

61. Kubis, A., & Schneider, L. (2016). Regional migration, growth and convergence: A spatial dynamic panel model of Germany. Regional Studies, 50(11), 1789–1803. https://doi.org/10.1080/00343404.2015.1059932.

62. Kumar, S., & Russell, R. (2002). Technological change, technological catch‐up, and capital deepening: Relative contributions to growth and convergence. The American Economic Review, 92(3), 527–548. https://doi.org/10.1257/00028280260136381.
    Paper not yet in RePEc: Add citation now
    
63. Li, Q., & Racine, J. (2004). Cross‐validated local linear nonparametric regression. Statistica Sinica, 14(2), 485–512.
    Paper not yet in RePEc: Add citation now
    
64. Los, B., & Timmer, M. P. (2005). The ‘appropriate technology’ explanation of productivity growth differentials: An empirical approach. Journal of Development Economics, 77(2), 517–531. https://doi.org/10.1016/j.jdeveco.2004.04.001.
    Paper not yet in RePEc: Add citation now
    
65. Marshall, A. (1920). Principles of economics. Macmillan.
    Paper not yet in RePEc: Add citation now
    

66. Maudos, J., Pastor, J. M., & Serrano, L. (2000). Efficiency and productive specialization: An application to the Spanish regions. Regional Studies, 34(9), 829–842. https://doi.org/10.1080/00343400020002967.

67. Miller, B., and Atkinson, R. D. (2014) Raising European productivity growth through ICT. ITIF, June 2014. https://doi.org/10.2139/ssrn.3079844.
    Paper not yet in RePEc: Add citation now
    
68. Moradi‐Motlag, A., & Emrouznejad, A. (2022). The origins and development of statistical approaches in non‐parametric Frontier models: A survey of the first two decades of scholarly literature (1998–2020). Annals of Operations Research, 318(1), 713–741. https://doi.org/10.1007/s10479‐022‐04659‐7.
    Paper not yet in RePEc: Add citation now
    

69. Orea, L., & Álvarez, I. C. (2022). Production economics in spatial analysis. In S. C. Ray, R. Chambers, & S. Kumbhakar (Eds.), Handbook of production economics (pp. 1379–1409). Springer. https://doi.org/10.1007/978‐981‐10‐3450‐3_35‐1.

70. Ortega‐Argilés, R. (2012). The transatlantic productivity gap: A survey of the main causes. Journal of Economic Surveys, 26(3), 395–419. https://doi.org/10.1111/j.1467‐6419.2012.00725.x.
    Paper not yet in RePEc: Add citation now
    

71. Parr, J. B. (2002). Agglomeration economies: Ambiguities and confusions. Environment & Planning A, 34(4), 717–731. https://doi.org/10.1068/a34106.

72. Phelps, N. A., Fallon, R. J., & Williams, C. L. (2001). Small firms, borrowed size and the urban‐rural shift. Regional Studies, 35(7), 613–624. https://doi.org/10.1080/00343400120075885.

73. Pike, A., Rodríguez‐Pose, A., & Tomaney, J. (2017). Shifting horizons in local and regional development. Regional Studies, 51(1), 46–57. https://doi.org/10.1080/00343404.2016.1158802.

74. Proost, S., & Thisse, J. F. (2019). What can be learned from spatial economics? Journal of Economic Literature, 57(3), 575–643. https://doi.org/10.1257/jel.20181414.

75. Puga, D. (2010). The magnitude and causes of agglomeration economies. Journal of Regional Science, 50(1), 203–219. https://doi.org/10.1111/j.1467‐9787.2009.00657.x.

76. Racine, J. (1997). Consistent significance testing for nonparametric regression. Journal of Business and Economic Statistics, 15(3), 369–378. https://doi.org/10.1080/07350015.1997.10524714.

77. Racine, J., Hart, J. D., & Li, Q. (2006). Testing the significance of categorical predictor variables in nonparametric regression models. Econometric Reviews, 25(4), 523–544. https://doi.org/10.1080/07474930600972590.

78. Ramajo, J., & Hewings, G. J. D. (2018). Modelling regional productivity performance across Western Europe. Regional Studies, 52(10), 1372–1387. https://doi.org/10.1080/00343404.2017.1390219.

79. Ramajo, J., Cordero, J. M., & Márquez, M. A. (2017). European regional efficiency and geographical externalities: A spatial nonparametric Frontier analysis. Journal of Geographical Systems, 19(4), 319–348. https://doi.org/10.1007/s10109‐017‐0249‐y.

80. Ramajo, J., Márquez, M. A., Hewings, G. J. D., & Salinas, M. M. (2008). Spatial heterogeneity and interregional spillovers in the European Union: Do cohesion policies encourage convergence across regions? European Economic Review, 52(3), 551–567. https://doi.org/10.1016/j.euroecorev.2007.05.006.

81. Ray, S. C. (2020). Data envelopment analysis: A nonparametric method of production analysis. In S. Ray, R. Chambers, & S. Kumbhakar (Eds.), Handbook of production economics. Springer. https://doi.org/10.1007/978‐981‐10‐3450‐3_24‐1.
    Paper not yet in RePEc: Add citation now
    
82. Rodríguez‐Pose, A. (2010). Economic geographers and the limelight: Institutions and policy in the world development report 2009. Economic Geography, 86(4), 361–370. https://doi.org/10.1111/j.1944‐8287.2010.01094.x.
    Paper not yet in RePEc: Add citation now
    
83. Rodríguez‐Pose, A., & Ganau, R. (2019). Institutions and the productivity challenge for European regions (No. 116). Directorate General for Economic and Financial Affairs (ECFIN).
    Paper not yet in RePEc: Add citation now
    

84. Rodríguez‐Pose, A., & Ganau, R. (2022). Institutions and the productivity challenge for European regions. Journal of Economic Geography, 22(1), 1–25. https://doi.org/10.1093/jeg/lbab003.

85. Rodríguez‐Pose, A., & Storper, M. (2006). Better rules or stronger communities? On the social foundations of institutional change and its economic effects. Economic Geography, 82(1), 1–25. https://doi.org/10.1111/j.1944‐8287.2006.tb00286.x.

86. Rogge, N. (2019). Regional productivity growth in the EU since 2000: Something is better than nothing. Empirical Economics, 56(2), 423–444. https://doi.org/10.1007/s00181‐017‐1366‐7.

87. Rosenthal, S. S., & Strange, W. C. (2004). Evidence on the nature and sources of agglomeration economies. In J. V. Henderson & J. F. Thisse (Eds.), Handbook of regional and urban economics (Vol. 4, pp. 2119–2171). Elsevier.

88. Saulnier, J. (2020). Improving the quality of public spending in Europe: Budgetary ‘waste rates’ in EU Member States. Directorate General for Parliamentary Research Service (EPRS).
    Paper not yet in RePEc: Add citation now
    

89. Siller, M., Schatzer, T., Walde, J., & Tappeiner, G. (2021). What drives total factor productivity growth? An examination of spillover effects. Regional Studies, 55(6), 1129–1139. https://doi.org/10.1080/00343404.2020.1869199.

90. Simar, L., Vanhems, A., & Van Keilegom, I. (2016). Unobserved heterogeneity and endogeneity in nonparametric Frontier estimation. Journal of Econometrics, 190(2), 360–373. https://doi.org/10.1016/j.jeconom.2015.06.015.

91. Solow, R. M. (1957). Technical change and the aggregate production function. The Review of Economics and Statistics, 39(3), 312–320. https://doi.org/10.2307/1926047.
    Paper not yet in RePEc: Add citation now
    

92. Syverson, C. (2011). What determines productivity? Journal of Economic Literature, 49(2), 326–365. https://doi.org/10.1257/jel.49.2.326.

93. Tsekeris, T., & Papaioannou, S. (2018). Regional determinants of technical efficiency: Evidence from the Greek economy. Regional Studies, 52(10), 1398–1409. https://doi.org/10.1080/00343404.2017.1390312.

94. Tsvetkova, A., Ahrend, R., Martins, J. O., Lembcke, A. C., Knutsson, P., Jong, D., & Terzidis, N. (2020). The spatial dimension of productivity: Connecting the dots across industries, firms and places. OECD Regional Development Working Papers, No. 2020/01. 1–65. https://doi.org/10.1787/ba5edb47-en.
    Paper not yet in RePEc: Add citation now
    

95. Van Ark, B., O'Mahoney, M., & Timmer, M. P. (2008). The productivity gap between Europe and the United States: Trends and causes. The Journal of Economic Perspectives, 22(1), 25–44. https://doi.org/10.1257/jep.22.1.25.

96. Vidoli, F., & Canello, J. (2016). Controlling for spatial heterogeneity in nonparametric efficiency models: An empirical proposal. European Journal of Operational Research, 249(2), 771–783. https://doi.org/10.1016/j.ejor.2015.10.050.

97. Villaverde, J., & Maza, A. (2008). Productivity convergence in the European regions, 1980–2003: A sectoral and spatial approach. Applied Economics, 40(10), 1299–1313. https://doi.org/10.1080/00036840600771361.
    Paper not yet in RePEc: Add citation now
    

98. Vines, D., & Wills, S. (2018). The rebuilding macroeconomic theory project: An analytical assessment. Oxford Review of Economic Policy, 34(1–2), 1–42. https://doi.org/10.1093/oxrep/grx062.

99. Widuto, A. (2019) Regional inequalities in the EU, European parliamentary research service, , May 2019, European Parliament.
    Paper not yet in RePEc: Add citation now
    

1. Spatial Disparities in Economic Structural Change in Central and Eastern Europe During Integration. (2025). Szakln, Kan Izabella ; Zsfia, Vas ; Imre, Lengyel ; Marianna, Svai ; Gyrgy, Vida.
   In: Intereconomics: Review of European Economic Policy.
   RePEc:vrs:intere:v:60:y:2025:i:2:p:126-134:n:1011.

   Full description at Econpapers || Download paper

2. What Explains Differences in Minimum Wage Growth Between EU Member States?. (2025). Arne, Baumann.
   In: Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik).
   RePEc:jns:jbstat:v:245:y:2025:i:1-2:p:7-44:n:1004.

   Full description at Econpapers || Download paper

3. Regional income convergence in Central Europe: Evidence from a pair-wise approach. (2025). Zdrazil, Pavel.
   In: E&M Economics and Management.
   RePEc:bbl:journl:v:28:y:2025:i:1:p:1-15.

   Full description at Econpapers || Download paper

4. Club convergence in the eurozone: A look at inequality dynamics. (2024). Vale, Sofia.
   In: Economics Letters.
   RePEc:eee:ecolet:v:238:y:2024:i:c:s0165176524001666.

   Full description at Econpapers || Download paper

5. Addressing spatial dependence when estimating technical efficiency: A spatialized data envelopment analysis of regional productive performance in the European Union. (2024). Ramajo, Julian ; Márquez, Miguel ; Hewings, Geoffrey ; Marquez, Miguel A.
   In: Growth and Change.
   RePEc:bla:growch:v:55:y:2024:i:1:n:e12711.

   Full description at Econpapers || Download paper

6. Funding for sustainable development of rural communities: European experience. (2024). Moroz, Yuliia ; Abramova, Iryna ; Romanchuk, Liudmyla ; Poplavskyi, Pavlo ; Svitlyshyn, Ihor.
   In: Agricultural and Resource Economics: International Scientific E-Journal.
   RePEc:ags:areint:356000.

   Full description at Econpapers || Download paper

7. Convergence Determinants and Club Formation in the EU over 1999-2021. (2023). Ignatov, Ignat.
   In: Economic Studies journal.
   RePEc:bas:econst:y:2023:i:3:p:37-63.

   Full description at Econpapers || Download paper

8. Testing the convergence hypothesis: a longitudinal and cross-sectional analysis of the world trade web through social network and statistical analyses. (2022). Urbani, Roberto ; Biggiero, Lucio.
   In: Journal of Economic Interaction and Coordination.
   RePEc:spr:jeicoo:v:17:y:2022:i:3:d:10.1007_s11403-021-00341-6.

   Full description at Econpapers || Download paper

9. On the Role of Portfolio Indicators of the Capital Flows in the Convergence Processes – An Application of Systems of Regression Equations in the Case of Selected CEE Countries. (2022). Pipień, Mateusz ; Adamczyk, Piotr.
   In: Central European Journal of Economic Modelling and Econometrics.
   RePEc:psc:journl:v:14:y:2022:i:3:p:303-333.

   Full description at Econpapers || Download paper

10. Labour Share Convergence in the European Union. (2022). Bistrova, Julija ; Prohorovs, Anatolijs.
    In: Economies.
    RePEc:gam:jecomi:v:10:y:2022:i:9:p:207-:d:901008.

    Full description at Econpapers || Download paper

11. A panel VAR analysis of macro-financial imbalances in the EU. (2022). Comunale, Mariarosaria.
    In: Journal of International Money and Finance.
    RePEc:eee:jimfin:v:121:y:2022:i:c:s0261560621001625.

    Full description at Econpapers || Download paper

12. The economic impact of structural and Cohesion Funds across sectors: Immediate, medium-to-long term effects and spillovers. (2022). Pammolli, Fabio ; Scotti, Francesco ; Flori, Andrea.
    In: Economic Modelling.
    RePEc:eee:ecmode:v:111:y:2022:i:c:s0264999322000797.

    Full description at Econpapers || Download paper

13. Regional disparities in Europe: should we be concerned?. (2021). Wieser, Thomas ; Hudecz, Gergely ; Moshammer, Edmund.
    In: Discussion Papers.
    RePEc:stm:dpaper:13.

    Full description at Econpapers || Download paper

14. Building a mineral-based value chain in Europe: the balance between social acceptance and secure supply. (2021). Martins, Luis ; Mateus, Antonio.
    In: Mineral Economics.
    RePEc:spr:minecn:v:34:y:2021:i:2:d:10.1007_s13563-020-00242-3.

    Full description at Econpapers || Download paper

15. Proving Hegel Wrong: Learning the Right Lessons from European Integration for the African Continental Free Trade Area. (2021). Mold, Andrew.
    In: Journal of African Trade.
    RePEc:spr:jouafr:v:8:y:2021:i:2:d:10.2991_jat.k.210908.001.

    Full description at Econpapers || Download paper

16. Tracking growth in the euro area subject to a dimensionality problem. (2021). Mongelli, Francesco ; Comunale, Mariarosaria.
    In: Working Paper Series.
    RePEc:ecb:ecbwps:20212591.

    Full description at Econpapers || Download paper

17. The Effects of the Crisis on Convergence between the Eastern Partnership and EU-15 States. (2021). Nagy, Sandor ; Siljak, Dzenita.
    In: Economic Studies journal.
    RePEc:bas:econst:y:2021:i:7:p:3-18.

    Full description at Econpapers || Download paper

18. Income convergence between Southeast Europe and the European Union. (2020). Eria, Milo ; Babin, Mihajlo ; Lazarevia, Jelisaveta ; Radosavljevia, Goran.
    In: Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics.
    RePEc:rfe:zbefri:v:38:y:2020:i:2:p:499-519.

    Full description at Econpapers || Download paper

19. Regional disparities in selected EU countries. (2020). Komarek, Lubos ; Babecky, Jan.
    In: Occasional Publications - Chapters in Edited Volumes.
    RePEc:cnb:ocpubc:geo2020/2.

    Full description at Econpapers || Download paper

20. Do Transition Countries Converge towards the European Union?. (2019). Nagy, Sandor ; Dzenita, Siljak ; Gyula, Nagy Sandor.
    In: TalTech Journal of European Studies.
    RePEc:vrs:bjeust:v:9:y:2019:i:1:p:115-139:n:7.

    Full description at Econpapers || Download paper

21. Convergence and growth decomposition: an analysis on Lithuania. (2019). Nguyen, Anh ; Comunale, Mariarosaria ; Soofi-Siavash, Soroosh ; Minh, Anh Dinh.
    In: Bank of Lithuania Discussion Paper Series.
    RePEc:lie:dpaper:17.

    Full description at Econpapers || Download paper

22. Konvergencia és felzárkózás az euróövezetben. (2019). Halmai, Peter.
    In: Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences).
    RePEc:ksa:szemle:1848.

    Full description at Econpapers || Download paper

23. Analyses of the Czech Republics Current Economic Alignment with the Euro Area 2019. (2019). Siuda, Vojtech ; Soucek, Marek ; Babecky, Jan ; Dingova, Vilma ; Pfeifer, Lukas ; Kubicova, Ivana ; Adam, Tomas ; Matejkova, Lucie ; Novotny, Filip ; Benecka, Sona ; Komarek, Lubos ; Hromadkova, Eva ; Pasalicova, Renata ; Arnostova, Katerina ; Hajkova, Dana ; Stikova, Radka ; Sveda, Josef ; Saxa, Branislav ; Snobl, Radek ; Tonner, Jaromir ; Kral, Petr ; Gec, Jaromir ; Kucharcukova, Oxana Babecka ; Solc, Jan ; Plasil, Miroslav ; Komarkova, Zlatuse ; Vojta, Martin ; Bruha, Jan.
    In: Occasional Publications - Edited Volumes.
    RePEc:cnb:ocpubv:as19.

    Full description at Econpapers || Download paper

Report date: 2025-10-04 16:21:01 || Missing content? Let us know