Authors:
Xiuwei Huang Langfang Teachers University, No. 100 Aimin West Road, Langfang Hebei, 065000, China. E-mail: hxwhk2007@163.com

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Xiao-yan Ding Langfang Teachers University, Building 2, Unit 6402 of Zhe Yinhe Community, Guangyang, Langfang Hebei, 065000, China

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Rau Rong School of Public Affair, Chongqing University, Chongqing China, No.174 Shazheng Street, Shapingba District, Chongqing Province, 400030, China. E-mail: ranrong@cqu.edu.cn

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The principal component analysis is a practical method for multivariate statistical analyses. It can eliminate the correlation between sample indexes, and on the premise of keeping the main information of samples, extract a few representative principal components. This article adopts the input—output method and principal component analysis. It carries on the transverse comparison research on the effective utilization situation of human resources in China in 2008 and reveals the actual situation of efficient use of human resources in the provinces in China. The degree of effective use of human resources in Beijing is the highest, while in Ningxia is the lowest. It is closely related to the economic development. Finally, it puts forward the thoughts and suggestions of improving the effective use of human resources in China.

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Senior editors

Editors-in-Chief: István P. Székely, Dóra Győrffy

Editor(s): Judit Ványai

Associate Editors

  • Péter Benczúr, Joint Joint Research Center, European Commission
  • Dóra Benedek, International Monetary Fund
  • Balázs Égert, OECD
  • Dániel Prinz, World Bank
  • Rok Spruk, University of Ljubljana, School of Economics and Business, Slovenia

Editorial Board

  • Anders Åslund, Georgetown University and Advisory Council of CASE, USA
  • István Benczes, Corvinus University of Budapest, Hungary 
  • Agnieszka Chłoń-Domińczak, SGH Warsaw School of Economics, Poland
  • Fabrizio Coricelli, University of Siena, Italy
  • László Csaba, Corvinus University of Budapest, Hungary and Central European University, Austria
  • Beáta Farkas, Faculty of Economics and Business Administration, University of Szeged, Hungary
  • Péter Halmai, Budapest University of Technology and Economics, and National University of Public Service, Hungary
  • Martin Kahanec, Central European University, Austria
  • Michael Landesmann, The Vienna Institute for International Economic Studies (WIIW), Austria
  • Péter Mihályi, Corvinus University of Budapest, Hungary
  • Debora Revoltella, European Investment Bank

Corvinus University of Budapest
Department of Economics
Fővám tér 8 Budapest, H-1093, Hungary
E-mail: vanyai.judit@krtk.hu  

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2023  
Web of Science  
Journal Impact Factor 0.7
Rank by Impact Factor Q3 (Economics)
Journal Citation Indicator 0.23
Scopus  
CiteScore 1.4
CiteScore rank Q3 (Economics and Econometrics)
SNIP 0.385
Scimago  
SJR index 0.218
SJR Q rank Q4

Acta Oeconomica
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Acta Oeconomica
Language English
Size B5
Year of
Foundation
1966
Volumes
per Year
1
Issues
per Year
4
Founder Magyar Tudományos Akadémia
Founder's
Address
H-1051 Budapest, Hungary, Széchenyi István tér 9.
Publisher Akadémiai Kiadó
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 0001-6373 (Print)
ISSN 1588-2659 (Online)

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