About the Journal
In Memory of Professor Jerzy Radecki
Editorial Office
Editorial Board
Scope
Impact Factor
Indexed in...
Journal Impact Factor contributing items
Contact
Subscription
Current issue
Online first
Notes to Authors
Frequently Asked Questions
Editorial policies
PJOES Publication Policy Overview
PJOES Peer Review Policy
PJOES Research Ethics and Malpractice Policy
PJOES Plagiarism Policy
PJOES Conflict of Interest Policy
PJOES Open Access Policy
PJOES Instructions for Reviewers
Generative AI and AI-Assisted Technologies Policy
Archive
ORIGINAL RESEARCH
Green Development Efficiency in Cultural
Industries: The Role of Digitalization
in China’s Provincial Context
1
National Research Center of Cultural Industries, Central China Normal University;
No.152 Luoyu Avenue, Wuhan 430079, Hubei, China
2
College of Economics and Management, Huazhong Agricultural University,
No. 1 Shizishan Street, Hongshan District, Wuhan 430070, Hubei, China
Submission date: 2024-01-30
Final revision date: 2024-04-08
Acceptance date: 2024-04-13
Online publication date: 2024-05-22
Publication date: 2025-01-09
Corresponding author
Mengsheng Wei
College of Economics and Management, Huazhong Agricultural University, No. 1 Shizishan Street, Hongshan District, Wuhan 430070, Hubei, China
College of Economics and Management, Huazhong Agricultural University, No. 1 Shizishan Street, Hongshan District, Wuhan 430070, Hubei, China
Pol. J. Environ. Stud. 2025;34(2):1333-1345
KEYWORDS
TOPICS
ABSTRACT
This study examines the impact of digital progress on the green development of China’s cultural
industries, a critical factor in improving their environmental sustainability. We applied the superefficient
SBM model, incorporating undesirable outputs, to evaluate the green development efficiency
of the cultural industry in 31 Chinese provinces from 2013 to 2021. The research also involved using
the ArcGIS tool to investigate spatial patterns and temporal changes in the efficiency of cultural
industries across these provinces. Furthermore, we developed an index to measure the digital
advancement of Chinese provinces and its influence on the cultural industry’s green development
efficiency. Our findings indicate a three-phase evolution of green efficiency in China’s cultural
industries: an initial rise, a period of decline, and a recent upswing, reflecting a pattern of fluctuation
and recovery. Significant spatial variation in green development efficiency is noted among provinces,
with more efficient outcomes in lower-latitude areas. Importantly, our analysis indicates that increasing
digitization levels positively affect the green development efficiency of China’s cultural industries.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
REFERENCES (56)
1.
PERIS-ORTIZ M., GOMEZ J.A., LÓPEZ-SIEBEN M. Cultural and creative industries: An overview. Springer International Publishing, Cham, 2019. <https://doi.org/10.1007/978-3-...>.
2.
RAHMAWATI A., WAHYUNINGSIH S.H., GARAD A. The effect of financial literacy, training and locus of control on creative economic business performance. *Social Sciences & Humanities Open*, 8 (1), 100721, 2023. <https://doi.org/10.1016/j.ssah...>.
3.
COMUNIAN R., ENGLAND L. Creative and cultural work without filters: Covid-19 and exposed precarity in the creative economy. *Cultural Trends*, 29 (2), 112, 2020. <https://doi.org/10.1080/095489...>.
4.
BECUŢ A.G. Dynamics of creative industries in a postcommunist society. The development of creative sector in Romanian cities. *City, Culture and Society*, 7 (2), 63, 2016. <https://doi.org/10.1016/j.ccs....>.
5.
LIANG S., WANG Q. Cultural and creative industries and urban (re)development in China. *Journal of Planning Literature*, 35 (1), 54, 2020. <https://doi.org/10.1177/088541...>.
6.
LEE H.K. Rethinking creativity: creative industries, AI and everyday creativity. *Media, Culture & Society*, 44 (3), 601, 2022. <https://doi.org/10.1177/016344...>.
7.
WANG Z., DENG Y., ZHOU S., WU Z. Achieving sustainable development goal 9: A study of enterprise resource optimization based on artificial intelligence algorithms. *Resources Policy*, 80, 103212, 2023. <https://doi.org/10.1016/j.reso...>.
8.
CACCIATORE S., PANOZZO F. Strategic mapping of cultural and creative industries. The case of the Veneto region. *Creative Industries Journal*, 17 (1), 28, 2024. <https://doi.org/10.1080/175106...>.
9.
ZHANG W., ZHAO S., WAN X., YAO Y. Study on the effect of digital economy on high-quality economic development in China. *PloS One*, 16 (9), 1, 2021. <https://doi.org/10.1371/journa...> PMid:34547019 PMCid:PMC8454970.
10.
LI F. The digital transformation of business models in the creative industries: A holistic framework and emerging trends. *Technovation*, 92–93, 102012, 2020. <https://doi.org/10.1016/j.tech...>.
11.
ZHANG N., YU K., CHEN Z. How does urbanization affect carbon dioxide emissions? A cross-country panel data analysis. *Energy Policy*, 107, 678, 2017. <https://doi.org/10.1016/j.enpo...>.
12.
HONG M., TIAN M., WANG J. The impact of digital economy on green development of agriculture and its spatial spillover effect. *China Agricultural Economic Review*, 15 (4), 708, 2023. <https://doi.org/10.1108/CAER-0...>.
13.
CHO R.L., LIU J.S., HO M.H.C. What are the concerns? Looking back on 15 years of research in cultural and creative industries. *International Journal of Cultural Policy*, 24 (1), 25, 2018. <https://doi.org/10.1080/102866...>.
14.
SERAFINI P., NOVOSEL N. Culture as care: Argentina's cultural policy response to Covid-19. *Cultural Trends*, 30 (1), 52, 2021. <https://doi.org/10.1080/095489...>.
15.
BUI HOAI S., HOANG THI B., NGUYEN LAN P., TRAN T. A bibliometric analysis of cultural and creative industries in the field of arts and humanities. *Digital Creativity*, 32 (4), 307, 2021. <https://doi.org/10.1080/146262...>.
16.
TIAN M., DENG P., ZHANG Y., SALMADOR M.P. How does culture influence innovation? A systematic literature review. *Management Decision*, 56 (5), 1088, 2018. <https://doi.org/10.1108/MD-05-...>.
17.
HSUEH S.L., HSU K.H., LIU C.Y. A multi-criteria evaluation model for developmental effectiveness in cultural and creative industries. *Procedia Engineering*, 29, 1755, 2012. <https://doi.org/10.1016/j.proe...>.
18.
WU Y.C., LIN S.W. Integrated approach for exploring critical elements that affect sustainable development of cultural and creative industries. *Journal of Business Economics and Management*, 22 (3), 596, 2021. <https://doi.org/10.3846/jbem.2...>.
19.
HUANG L., JIA Y. Innovation and Development of Cultural and Creative Industries Based on Big Data for Industry 5.0. *Scientific Programming*, 2022, 2490033, 2022. <https://doi.org/10.1155/2022/2...>.
20.
XU Y.H., LU L., YAO Z.X. Culture and creative industry in China: Critical review on the current research trends and future development. *International Journal of Innovation and Technology Management*, 13 (6), 1640016, 2016. <https://doi.org/10.1142/S02198...>.
21.
ZHONG Y., ZHONG J. Report on the development of the cultural industry in the special economic zones of China. Springer Nature, Singapore, 2022. <https://doi.org/10.1007/978-98...>.
22.
LIN M.H., CHEN H.C., LIU K.S. The application of data envelopment analysis to discuss the performance evaluation of cultural & creative industries parks. *Revista de Cercetare şi Intervenţie Socială*, 59, 75, 2017.
23.
DE JORGE-MORENO J., DE JORGE-HUERTAS V. Measuring European cultural and creative cities’ efficiency: A metafrontier DEA approach. *Journal of Economic Studies*, 47 (4), 891, 2020. <https://doi.org/10.1108/JES-06...>.
24.
LI M., SUN H., AGYEMAN F.O., SU J., HU W. Efficiency measurement and heterogeneity analysis of Chinese cultural and creative industries: Based on three-stage data envelopment analysis modified by stochastic frontier analysis. *Frontiers in Psychology*, 12, 823499, 2022. <https://doi.org/10.3389/fpsyg....> PMid:35153939 PMCid:PMC8828563.
25.
ZHANG H., ZHANG J., PAI C.-H. Promoting carbon neutrality and green growth through cultural industry financing. *Humanities and Social Sciences Communications*, 11 (1), 71, 2024. <https://doi.org/10.1057/s41599...>.
26.
HU M., LI Z., HOU B. The Influencing Effect of Tourism Economy on Green Development Efficiency in the Yangtze River Delta, 2023. <https://doi.org/10.3390/ijerph...> PMid:36673828 PMCid:PMC9859172.
27.
ČERNEVIČIŪTĖ J., STRAZDAS R., KREGŽDAITĖ R., TVARONAVIČIENĖ M. Cultural and creative industries for sustainable postindustrial regional development: The case of Lithuania. *Journal of International Studies*, 12 (2), 285, 2019. <https://doi.org/10.14254/2071-...>.
28.
YU W. Creative industries agglomeration and industrial efficiency in China. *Growth and Change*, 49 (4), 677, 2018. <https://doi.org/10.1111/grow.1...>.
29.
CHI Y., FANG Y., LIU J. Spatial-temporal evolution characteristics and economic effects of China's cultural and tourism industries' collaborative agglomeration. *Sustainability*, 14 (22), 15119, 2022. <https://doi.org/10.3390/su1422...>.
30.
CHEN H., LU J. Does cultural agglomeration affect green total factor productivity? Evidence from 279 cities in China. *Sustainability*, 15 (9), 7373, 2023. <https://doi.org/10.3390/su1509...>.
31.
KAYMAS S. Is development possible without cultural policies? Rethinking creative industries and sustainable development in the case of Turkey. *Creative Industries Journal*, 13 (1), 72, 2020. <https://doi.org/10.1080/175106...>.
32.
LEE C.B. Cultural policy and governance: Reviewing policies related to cultural and creative industries implemented by the central government of Taiwan between 2002 and 2012. *Review of Policy Research*, 32 (2), 465, 2015. <https://doi.org/10.1111/ropr.1...>.
33.
YANG X., YIN S. Government support, factor marketization level and resource allocation efficiency: A research focusing on Chinese cultural and creative enterprise. *Journal of Lanzhou University (Social Sciences)*, 50 (3), 23, 2022.
34.
LU J., REN W. Research on functional orientation, logical mechanism and construction path of humanities and social science laboratory in universities: An interdisciplinary scientific perspective based on the development of "new liberal arts". *Nanjing Journal of Social Sciences*, 5 (2), 142, 2022.
35.
SHANG X., NIU H. Analysis of the spatiotemporal evolution and driving factors of China's digital economy development based on ESDA and GM-GWR model. *Sustainability*, 15 (15), 11970, 2023. <https://doi.org/10.3390/su1515...>.
36.
BAREFOOT K., CURTIS D., JOLLIFF W., NICHOLSON J.R., OMOHUNDRO R. Defining and measuring the digital economy. US Department of Commerce Bureau of Economic Analysis, Washington, DC, 2018.
37.
HUI N., YU Q., GU Y. Does the digital economy improve the innovation efficiency of the manufacturing industry? Evidence in provincial data from China. *Sustainability*, 15 (13), 10615, 2023. <https://doi.org/10.3390/su1513...>.
38.
WEN H., LIANG W., LEE C.C. Input-output efficiency of China's digital economy: Statistical measures, regional differences, and dynamic evolution. *Journal of the Knowledge Economy*, 1, 2023. <https://doi.org/10.2139/ssrn.4...>.
39.
HAN D., LIU M. How does the digital economy empower green development? From the perspective of the division of labor in new classical economics. *Sustainability*, 14 (23), 15740, 2022. <https://doi.org/10.3390/su1423...>.
40.
ČIKOVIĆ K.F., TOMIŠA M., LOZIĆ J. Efficiency of cultural and creative industries: A PRISMA-guided systematic review of data envelopment analysis applications. *Interdisciplinary Description of Complex Systems: INDECS*, 21 (5), 458, 2023. <https://doi.org/10.7906/indecs...>.
41.
LV T., FU S., ZHANG X., WU G., HU H., TIAN J. Assessing cultivated land-use transition in the major grain-producing areas of China based on an integrated framework. *Land*, 11 (10), 1622, 2022. <https://doi.org/10.3390/land11...>.
42.
TONE K. A slacks-based measure of efficiency in data envelopment analysis. *European Journal of Operational Research*, 130 (3), 498, 2001. <https://doi.org/10.1016/S0377-...>.
43.
TONE K. Dealing with undesirable outputs in DEA: A slacks-based measure (SBM) approach. National Graduate Institute for Policy Studies, Tokyo, 2004.
44.
LU W\.M., KWEH Q.L., HE D.S., SHIH J.M. Performance analysis of the cultural and creative industry: A network-based approach. *Naval Research Logistics (NRL)*, 64 (8), 662, 2017. <https://doi.org/10.1002/nav.21...>.
45.
ZENG S., HU M., SU B. Research on investment efficiency and policy recommendations for the culture industry of China based on a three-stage DEA. *Sustainability*, 8 (4), 324, 2016. <https://doi.org/10.3390/su8040...>.
46.
LI X., ZHANG J., CHEN X., LU C. Evaluation of innovation efficiency in China’s cultural industry: A meta-frontier with non-radial directional distance function approach. *Sustainable Development*, 31 (5), 3709, 2023. <https://doi.org/10.1002/sd.262...>.
47.
WU Y.C., LIN S.W. Efficiency evaluation of Asia’s cultural tourism using a dynamic DEA approach. *Socio-Economic Planning Sciences*, 84, 101426, 2022. <https://doi.org/10.1016/j.seps...>.
48.
BENITA F. On the performance of creative industries: Evidence from Mexican metropolitan areas. *Papers in Regional Science*, 98 (2), 825, 2019. <https://doi.org/10.1111/pirs.1...>.
49.
ZHANG T., WU J. Spatial network structure and influence mechanism of green development efficiency of Chinese cultural industry. *Scientia Geographica Sinica*, 41 (2), 580, 2021.
50.
WANG J., WANG B., DONG K., DONG X. How does the digital economy improve high-quality energy development? The case of China. *Technological Forecasting and Social Change*, 184, 121960, 2022. <https://doi.org/10.1016/j.tech...>.
51.
LEE C.-C., ZENG M., LUO K. Food security and digital economy in China: A pathway towards sustainable development. *Economic Analysis and Policy*, 78, 1106, 2023. <https://doi.org/10.1016/j.eap....>.
52.
*China Culture and Related Industries Statistical Yearbook* (2014–2022). Available online: <https://www.zgtjnj.org/naviboo...> \[in Chinese].
53.
*China Statistical Yearbook* (2014–2022). Available online: <https://www.zgtjnj.org/naviboo...> \[in Chinese].
54.
*China Energy Statistical Yearbook* (2014–2022). Available online: <https://www.zgtjnj.org/naviboo...> \[in Chinese].
55.
Provincial Greenhouse Gas Inventory Compilation Guide. Available online: <https://www.ipcc.ch/report/200...> \[in Chinese].
56.
NUNN N., QIAN N. US food aid and civil conflict. *American Economic Review*, 104 (6), 1630, 2014. <https://doi.org/10.1257/aer.10...>.
Share
RELATED ARTICLE
| eISSN: | 2083-5906 |
| ISSN: | 1230-1485 |
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
