A BIBLIOMETRIC ANALYSIS OF GREEN PRODUCTIVITY CONCEPT

Yıl 2021, Cilt: 9 Sayı: 3, 393 - 418, 31.12.2021

Erdinc Koc , Ahmed İhsan Şimşek

https://doi.org/10.22139/jobs.958744

Cited By: 2

Öz

Aim: This study aims to determine the relationships between studies, important sub-topics and new trends in the field, in parallel with the increasing studies in the field of green productivity in recent years.
Method: Using the Web of Science database, 118 studies on green productivity published between 1980 and 2021 were analyzed with bibliometric analyzes through the R and Vosviewer program.
Findings: The results obtained from the analyzes were shared under two separate headings: Descriptive Statistics and Network Analysis. As descriptive statistics, the most productive journals, authors, and countries were shared. With descriptive statistics, it was found out that the most productive journal is the Journal of Cleaner Production and the most productive institution is Xiamen University. The study found that China is the most productive country in the field of green productivity. As part of the network analysis, co-occurrence, co-citation, co-authorship, and country collaboration in the field of green productivity were tried to be revealed. Co-occurrence analysis shows that 21 nodes and six clusters are formed. The authors are divided into seven clusters in the co-authorship analysis, and Li Ke has the most links. The country with the most links in the country collaboration analysis is China. In the co-citation analysis, it is seen that the studies in the field of “green productivity” are divided into three clusters.
Results: As a field of study, green productivity attracts the attention of different science and social sciences disciplines, and the number of publications on this subject is constantly increasing. The interest of different disciplines in the subject field has enabled different keywords to take part in the studies. In addition to showing trends in the field, the study results also show productivity in the corresponding years’ range. With our study, researchers who want to work in the field of Green Productivity will be able to identify the guiding articles. Besides, they will be able to identify pioneering researchers, institutions and journals and see the collaborations made on the basis of country, institution and author in the field of green productivity. In this way, researchers will have the chance to look at the field of green productivity from a broader perspective. Researchers can use this study as a roadmap for their studies.

Anahtar Kelimeler

Productivity, Green Productivity, Bibliometric Analysis

YEŞİL VERİMLİLİK KAVRAMININ BİBLİYOMETRİK ANALİZİ

Öz

Amaç: Yeşil verimlilik alanında son yıllarda artan çalışmalara paralel olarak yapılan çalışmalar arasındaki ilişkilerin, önemli alt konuların ve alanda yeni yönelimlerin belirlenmesi bu çalışmanın amacıdır.
Yöntem: Web of Science veri tabanı kullanılarak 1980-2021 yılları arasında yayımlanmış olan yeşil verimlilik üzerine yapılan 118 çalışma, R ve Vosviewer programı aracılığıyla bibliyometrik analizlerle incelenmiştir.
Bulgular: Analizlerden elde edilen sonuçlar, Tanımlayıcı İstatistikler ve Ağ Analizi olmak üzere iki ayrı başlık altında paylaşılmıştır. Tanımlayıcı istatistikler altında en verimli dergiler, yazarlar ve ülkeler paylaşılmıştır. Tanımlayıcı istatistiklerle en verimli derginin Journal of Cleaner Production ve en verimli kurumun Xiamen Üniversitesi olduğu tespit edilmiştir. Araştırma, Çin'in yeşil verimlilik alanında en üretken ülke olduğunu ortaya koymaktadır. Ağ analizi kapsamında yeşil verimlilik alanında birlikte oluşum, ortak alıntı, ortak yazarlık ve ülke iş birlikleri ortaya konulmaya çalışılmıştır. Birlikte oluşum analizi, 21 düğüm ve altı kümenin oluştuğunu göstermektedir. Ortak yazarlık analizinde, yazarlar yedi kümeye ayrılmakta ve Li Ke’nin en çok bağlantıya sahip olduğu görülmektedir. Ülke iş birliği analizinde en fazla bağlantıya sahip ülke Çin'dir. Ortak atıf analizinde “yeşil verimlilik” alanındaki çalışmaların üç kümeye ayrıldığı görülmektedir.
Sonuç: Bir çalışma alanı olarak yeşil verimlilik hem fen bilimlerinde hem de sosyal bilimlerde farklı disiplinlerin ilgisini çekmekte ve bu konudaki yayınların sayısı sürekli artmaktadır. Farklı disiplinlerin konu alanına ilgi göstermesi, farklı anahtar kelimelerin çalışmalarda yer almasını sağlamıştır. Alandaki eğilimleri göstermenin yanı sıra, çalışmanın sonuçları aynı zamanda ilgili yıllar aralığında verimliliği de göstermektedir. Bu çalışma ile yeşil verimlilik alanında çalışmak isteyen araştırmacılar bu alana öncülük eden çalışmaların yanı sıra yeşil verimlilik alanında üretken olan araştırmacılar, kurumlar ve ülkeleri belirleyebilecektir. Bunun yanı sıra ülke, kurum ve yazar bazında yapılan işbirliklerini tespit edebileceklerdir. Bu sayede araştırmacılar yeşil verimlilik alanına daha geniş bir perspektiften bakma imkanı bulabileceklerdir. Yaptığımız çalışma, yeşil verimlilik alanında çalışmak isteyen araştırmacılar için bir yol haritası olarak kullanılabilecektir.

Anahtar Kelimeler

Verimlilik, Yeşil Verimlilik, Bibliyometrik Analiz

Kaynakça

• Ahmed, E. M. (2012). Green TFP Intensity Impact on Sustainable East Asian Productivity Growth. Economic Analysis and Policy, 42(1), 67–78.
• Albort-Morant, G., & Ribeiro-Sorıano, D. (2016). A Bibliometric Analysis of International Impact of Business Incubators. Journal of Business Research, 69, 1775-1779.
• Albort-Morant, G., Henseler, J., Leal-Millan, A., & Cepeda-Carrion, G. (2017). Mapping the field: a bibliometric analysis of green innovation. Sustainability, 9(6), 1-15.
• Ambec, S., & Barla, P. (2002). A theoretical foundation of the Porter hypothesis. Economics Letters, 75(3), 355–360. https://doi.org/10.1016/S0165-1765(02)00005-8
• Ambec, S., Cohen, M. A., Elgie, S., & Lanoie, P. (2013). The porter hypothesis at 20: Can environmental regulation enhance innovation and competitiveness? Review of Environmental Economics and Policy, 7(1), 2–22.
• Andres, A. (2009). Measuring Academic Research. Chandos Publishing. Cambridge.
• Arenas, A. D.; Valencia, G. E.; Duarte, J. E. (2018) Bibliometric anaylsis of green energy research from 2011-2017, Indian Journal of Science and Technology, 11(18), 1-7.
• Ardito, L., Scuotto, V., Del Giudice, M., & Petruzzelli, A. M. (2018). A bibliometric analysis of research on Big Data analytics for business and management. Big Data Analytics, 57(8), 1993-2009.
• Brunnermeier, S. B., & Cohen, M. A. (2003). Determinants of environmental innovation in US manufacturing industries. Journal of Environmental Economics and Management, 45(2), 278–293.
• Chung, Y. H., Färe, R., & Grosskopf, S. (1997). Productivity and undesirable outputs: A directional distance function approach. Journal of Environmental Management, 51(3), 229–240.
• Conrad, K. & Wastl, D. (1995). The impact of environmental regulation on productivity in German industries. Empirical Economics, 20(4), 615–633.
• Çilhoroz, Y., & Arslan, İ. (2018). Lean Management Approach in Healthcare Services: A Bibliometric Analysis, Atlas International Referred Journal on Social Sciences, 4(10), 540-555.
• Daim, T. U., Rueda, G., Martin, H., & Gerdsri, P. (2006). Forecasting Emerging Technologies: Use of Bibliometrics and Patent Analysis, Technological Forecasting & Social Change, 73, 981-1012.
• Danica M. L., & Kristine M. A. (2017). Bibliometric Network Analysis and Visualization for Serials Librarians: An Introduction to Sci2, Serials Review, 43:3-4, 239-245
• De Bakker, F. G., Groenewegen, P., & Den Hond, F. (2005). A Bibliometric Analysis of 30 Years of Research and Theory on Corporate Social Responsibility and Corporate Social Performance, Business & Society, 44(3), 283-317.
• De Oliveira, R. I., Sousa, S. O., & De Campos, F. C. (2019). Lean Manufacturing Implemtation: Bibliometric Analysis 2007-2018. The International Journal of Advanced Manufacturing Technology, 101, 979-988.
• Diaby, V., Campbell, K., & Goeree, R. (2013). Multi-Criteria Decision Analysis (MCDA) in Health Care: A Bibliometric Analysis, Operations Research for Health Care, 2, 20-24.
• Ding, Y., Foo, S., & Chowdhury, G. (1999). A bibliometric analysis of collaboration in the field of information retrieval, The International Information & Library Review, 30, 367-376.
• Dixhit, A., & Jakhar, S. K. (2021). Airport Capacity Management: A Review and Bibliometric Analysis, Journal of Air Transport Management, 1-14.
• Du, K., & Li, J. (2019). Towards a green world: How do green technology innovations affect total-factor carbon productivity. Energy Policy, 131(December 2018), 240–250.
• Ellegaard, O., & Wallin, J. A. (2015). The Bibliometric Analysis of Scholarly Production: How Great is the Impact, Scientometrics, 105, 1809-1831.
• Fahimnia, B., Sarkis, J., & Davarzani, H. (2015). Green Supply Chain Management: A Review and Bibliometric Analysis, International Journal of Production Economics, 162, 101-114.
• Färe, R., Grosskopf, S., & Pasurka, C. A. (2001). Accounting for air pollution emissions in measures of state manufacturing productivity growth. Journal of Regional Science, 41(3), 381–409.
• Gray, W. B.; Shadbegıan, R. J. (1993). Environmental Regulation and Manufacturing Productivity at the Plant Level. In National Bureau of Economic Research Working Paper Series (p. 29).
• Gray, W. B.; Shadbegıan, R. J. (2003). Plant vintage, technology, and environmental regulation. Journal of Environmental Economics and Management, 46(3), 384–402.
• Hailu, A., & Veeman, T. S. (2000). Environmentally Sensitive Productivity Analysis of the Canadian Pulp and Paper Industry , 1959 ᎐ 1994 : Journal of Environmental Economics and Management, 40, 251–274.
• Hamamoto, M. (2006). Environmental regulation and the productivity of Japanese manufacturing industries. Resource and Energy Economics, 28(4), 299–312.
• He, F., Zhang, Q., Lei, J., Fu, W., & Xu, X. (2013). Energy efficiency and productivity change of China’s iron and steel industry: Accounting for undesirable outputs. Energy Policy, 54, 204–213.
• Hubert, J. J. (1977). Bibliometric models for journal productivity. Social Indicators Research, 4(4), 441-473.
• Hur, T., Kim, I., & Yamamoto, R. (2004). Measurement of green productivity and its improvement. Journal of Cleaner Production, 12(7), 673–683.
• Jaffe, A. B., Peterson, S. R., Portney, P. R., & Stavins, R. N. (1995). Environmental Regulation and the Competitiveness of U.S. Manufacturing: What does the evidence tell us? Journal of Economic Literature, 33(1), 132–163.
• Li, K., & Lin, B. (2015). Measuring green productivity growth of Chinese industrial sectors during 1998-2011. China Economic Review, 36, 279–295.
• Li, K., & Lin, B. (2017). Economic growth model, structural transformation, and green productivity in China. Applied Energy, 187, 489–500.
• Martinez-Lopez, F. J., Merigo, J. M., Valenzuela-Fernandez, L., & Nicolas, C. (2018). Fifty years of the European Journal of Marketing: A Bibliometric Analysis, European Journal of Marketing, 52(1/2), 439-468.
• Matondang, N. (2017). Productivity Improvement with Green Approach to Palm Oil Factor Productivity, IOP Conference Series: Materials Science and Engineering, 309, 1-6
• Ninerola, A., Sanchez-Rebuli, M. V., & Hernandez-Lara, A. B. (2019). Tourism Research on Sustainability: A Bibliometric Analysis, Sustainability, 11(5), 1377.
• Oh, D. H. (2010a). A global Malmquist-Luenberger productivity index. Journal of Productivity Analysis, 34(3), 183–197.
• Oh, D. H. (2010b). A metafrontier approach for measuring an environmentally sensitive productivity growth index. Energy Economics, 32(1), 146–157.
• Oh, J., & Kim, A. (2020). A bibliometric analysis of COVID-19 research published in nursing journals. Science Editing, 7(2), 118-124.
• Peuckert, J. (2014). What shapes the impact of environmental regulation on competitiveness? Evidence from Executive Opinion Surveys. Environmental Innovation and Societal Transitions, 10, 77–94.
• Porter, M.E. (1991). America's green strategy. Scientific American, 264 (4), 1–5.
• Porter, M. E., & Van Der Lınde, C. (1995). Toward a new conception of the environment-competitiveness relationship. Journal of Economic Perspectiv, 9(4), 97–118.
• Rejeb, A., Simske, S.; Rejeb, K., Treiblmaıer, H., & Zailani, S. (2020). Internet of Things Research in Supply Chain Management and Logistics: A Bibliometric Analysis, Internet of Things, 12, 1-16.
• Rey-Marti, A., Ribeiro-Soriano, D., & Palacios-Marques, D. (2016). A Bibliometric Analysis of Social Entrepreneurship, Journal of Business Research, 69, 1651-1655.
• Rubashkina, Y., Galeotti, M., & Verdolini, E. (2015). Environmental regulation and competitiveness: Empirical evidence on the Porter Hypothesis from European manufacturing sectors. Energy Policy, 83, 288–300.
• Sanchez-Vargas, A.; Mansilla-Sanchez, R.; Aguilar-Ibarra, A. (2013). An empirical analysis of the nonlinear relationship between environmental regulation and manufacturing productivity. Journal of Applied Economics, 16(2), 357–372.
• Sangwan, K. S., & Mittal, V. K. (2015). A bibliometric analysis of green manufacturing and similar frameworks. Management and Environmental Quality, 26(4), 566-587.
• Sedighi, M. (2016). Application of word co-occurrence analysis method in mapping of the scientific fields (Case study: the field of Informetrics), Library Review, Vol. 65 No. 1/2, 52-64.
• Sengupta, I. N. (1992). Bibliometrics, Informetrics, Scientometrics and Librametrics: An Overview. Libri, 42(2). 75-98.
• Sharifi, A. (2021). Urban sustainability assessment: An overview and bibliometric analysis, Ecological Indicators, 121, 1-18.
• Tuttle, T., & Heap, J. (2008). Green productivity: Moving the agenda. International Journal of Productivity and Performance Management, 57(1), 93–106.
• Uysal, Ö. Ö. (2010). Business Ethics Research with an Accounting Focus: A Bibliometric Analysis from 1988-2007. Journal of Business Ethics, 93, 137-160.
• Xıe, R. H., Yuan, Y. J., & Huang, J. J. (2017). Different Types of Environmental Regulations and Heterogeneous Influence on “Green” Productivity: Evidence from China. Ecological Economics, 132, 104–112.
• Xu, X., Chen, X., Jıa, F., Brown, S., Gong, Y., & Xu, Y. (2018). Supply Chain Finance: A Systematic Literature Review and Bibliometric Analysis, International Journal of Production Economics, 204, 160-173.
• Yi, M.; Wang, Y., Yan, M., Fu, L., & Zhang, Y. (2020). Government R&D subsidies, environmental regulations, and their effect on green innovation efficiency of manufacturing industry: Evidence from the Yangtze River economic belt of China. International Journal of Environmental Research and Public Health, 17(4), 1–17.
• Youngblood, M., & Lahti, D. (2018). A Bibliometric Analysis of the Interdisciplinary Field of Cultural Evolution, Palgrave Communications,
• Yu-Yıng Lin, E., Chen, P. Y., & Chen, C. C. (2013). Measuring green productivity of country: A generlized metafrontier Malmquist productivity index approach. Energy, 55, 340–353.
• Zhang, C., Lıu, H., Bressers, H. T. A., & Buchanan, K. S. (2011). Productivity growth and environmental regulations - accounting for undesirable outputs: Analysis of China’s thirty provincial regions using the Malmquist-Luenberger index. Ecological Economics, 70(12), 2369–2379.
• Zhou, P., Ang, B. W., & Han, J. Y. (2010). Total factor carbon emission performance: A Malmquist index analysis. Energy Economics, 32(1), 194–201.