Is Regional Economic Research Still Relevant?: A Bibliometric Approach Using Vosviewer

Muhammad Aliyuddin

Abstract


This research aims to find out about the latest trends in regional economic research topics. The research method used in this research is bibliometric analysis using the Voswiewer application. Bibliometric research method is a research method that can analyze a very large volume of research. The bibliometric techniques used in this research are performance analysis and science mapping. The results showed that the most productive and most influential journals in regional economic research topics are journals affiliated with environmental science. The most influential researchers in the field of regional economics are dominated by researchers affiliated with universities from China. Based on science mapping analysis, it can be seen that there are three most dominant elements in regional economic topics, namely environmental regulation, covid, and urban agglomeration. Meanwhile, based on network visualization analysis, it is known that there are several recent topics in the field of regional economics, namely economic resilience, industrial agglomeration, and digital economy.

Penelitian ini bertujuan untuk mengetahui mengenai perkembangan terbaru dalam topik penelitian ekonomi regional. Metode penelitian yang digunakan dalam penelitian ini adalah analisis bibliometrik dengan menggunakan aplikasi Vosviewer. Metode penelitian bibliometrik yaitu metode penelitian yang dapat menganalisis volume penelitian yang sangat besar. Teknik bibliometrik yang digunakan dalam penelitian ini yaitu performance analysis dan science mapping. Hasil penelitian menunjukan bahwa jurnal paling produktif dan paling berpengaruh dalam topik penelitian ekonomi regional merupakan jurnal – jurnal yang terafiliasi dengan bidang ilmu lingkungan. Peneliti paling berpengaruh dalam bidang ekonomi regional di dominasi oleh para peneliti yang terafiliasi dengan universitas dari negara China. Berdasarkan analisis science mapping dapat diketahui terdapat tiga elemen paling dominan dalam topik ekonomi regional yaitu environmental regulation, covid, dan urban agglomeration. Sementara itu, berdasarkan analisis network visualization diketahui terdapat beberapa topik terbaru dalam bidang ekonomi regional yaitu economic resilience, industrial agglomeration, dan digital economy.


Keywords


Regional economic; Bibliometric; Vosviewer.

Full Text:

PDF

References


Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for Comprehensive Science Mapping Analysis. Journal of Informetrics, 11(4), 959–975. https://doi.org/https://doi.org/10.1016/j.joi.2017.08.007

Ascani, A., Crescenzi, R., & Iammarino, S. (2012). Regional Economic Development: A Review.

Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to Conduct a Bibliometric Analysis: An Overview and Guidelines. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070

Durante, R., Guiso, L., & Gulino, G. (2021). Asocial Capital: Civic Culture and Social Distancing During COVID-19. Journal of Public Economics, 194, 104342. https://doi.org/10.1016/j.jpubeco.2020.104342

Feng, T., Du, H., Lin, Z., & Zuo, J. (2020). Spatial Spillover Effects of Environmental Regulations on Air Pollution: Evidence from Urban Agglomerations in China. Journal of Environmental Management, 272, 110998. https://doi.org/10.1016/j.jenvman.2020.110998

Firmansyah, I. (2021). Ten Years of Jurnal Akuntansi dan Keuangan Indonesia: A Bibliometric Study. Jurnal Akuntansi dan Keuangan Indonesia, 18(1), 75–88. https://doi.org/10.21002/jaki.2021.05

Hoover, E. M., & Giarratani, F. (2020). An Introduction to Regional Economics. https://researchrepository.wvu.edu/rri-web-book

Iammarino, S., Rodriguez-Pose, A., & Storper, M. (2019). Regional Inequality in Europe: Evidence, Theory and Policy Implications. Journal of Economic Geography, 19(2), 273–298. https://doi.org/10.1093/jeg/lby021

Li, C., Wu, K., & Wu, J. (2017). A Bibliometric Analysis of Research on Haze during 2000–2016. In Environmental Science and Pollution Research (Vol. 24, Issue 32, pp. 24733–24742). Springer Verlag. https://doi.org/10.1007/s11356-017-0440-1

Li, Y., Yang, X., Ran, Q., Wu, H., Irfan, M., & Ahmad, M. (2021). Energy Structure, Digital Economy, and Carbon Emissions: Evidence from China. Environmental Science and Pollution Research, 28(45), 64606–64629. https://doi.org/10.1007/s11356-021-15304-4

Linnenluecke, M. K., Marrone, M., & Singh, A. K. (2020). Conducting Systematic Literature Reviews and Bibliometric Analyses. In Australian Journal of Management (Vol. 45, Issue 2, pp. 175–194). SAGE Publications Ltd. https://doi.org/10.1177/0312896219877678

Lv, Z., & Li, S. (2020). How Financial Development Affects CO2 Emissions: A Spatial Econometric Analysis. Journal of Environmental Management, 277, 111397. https://doi.org/10.1016/j.jenvman.2020.111397

Moral-Muñoz, J. A., Herrera-Viedma, E., Santisteban-Espejo, A., & Cobo, M. J. (2020). Software Tools for Conducting Bibliometric Analysis in Science: An Up-To-Date Review. In Profesional de la Informacion (Vol. 29, Issue 1). El Profesional De La Informacion. https://doi.org/10.3145/epi.2020.ene.03

Shen, F., Liu, B., Luo, F., Wu, C., Chen, H., & Wei, W. (2021). The Effect of Economic Growth Target Constraints on Green Technology Innovation. Journal of Environmental Management, 292, 112765. https://doi.org/10.1016/j.jenvman.2021.112765

Shuai, S., & Fan, Z. (2020). Modeling the Role of Environmental Regulations in Regional Green Economy Efficiency of China: Empirical Evidence from Super Efficiency DEA-Tobit Model. Journal of Environmental Management, 261, 110227. https://doi.org/10.1016/j.jenvman.2020.110227

Tufail, M., Song, L., Adebayo, T. S., Kirikkaleli, D., & Khan, S. (2021). Do Fiscal Decentralization and Natural Resources Rent Curb Carbon Emissions? Evidence from Developed Countries. Environmental Science and Pollution Research, 28(35), 49179–49190. https://doi.org/10.1007/s11356-021-13865-y

Wright, A. L., Sonin, K., Driscoll, J., & Wilson, J. (2020). Poverty and Economic Dislocation Reduce Compliance with COVID-19 Shelter-in-place Protocols. Journal of Economic Behavior & Organization, 180, 544–554. https://doi.org/10.1016/j.jebo.2020.10.008

Yu, X., & Wang, P. (2020). Economic Effects Analysis of Environmental Regulation Policy in the Process of Industrial Structure Upgrading: Evidence from Chinese Provincial Panel Data. Science of the Total Environment, 753, 142004. https://doi.org/10.1016/j.scitotenv.2020.142004

Zhao, P.-J., Zeng, L.-E., Lu, H.-Y., Zhou, Y., Hu, H.-Y., & Wei, X.-Y. (2020). Green Economic Efficiency and Its Influencing Factors in China from 2008 to 2017: Based on the Super-SBM Model with Undesirable Outputs and Spatial Dubin Model. Science of the Total Environment, 741, 140026. https://doi.org/10.1016/j.scitotenv.2020.140026

Zhu, W., & Guan, J. (2013). A Bibliometric Study of Service Innovation Research: Based on Complex Network Analysis. Scientometrics, 94(3), 1195–1216. https://doi.org/10.1007/s11192-012-0888-1




DOI: https://doi.org/10.37058/wlfr.v4i1.6865

Refbacks

  • There are currently no refbacks.


Copyright (c) 2023 WELFARE Jurnal Ilmu Ekonomi

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

__________________________________________________________________________________________________________________________________________

                                                                                                             ____ ____

__________________________________________________________________________________________________________________________________________

 

WELFARE Jurnal Ilmu Ekonomi by Jurusan Ekonomi Pembangunan Universitas Siliwangi
is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License
Based on work at https://jurnal.unsil.ac.id/index.php/welfare/index
 
WELFARE Jurnal Ilmu Ekonomi Visitor Counter Welfare Stat