IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i5p1781-d1343221.html
   My bibliography  Save this article

The Impact of Cultural Capital on Economic Growth Based on Green Low-Carbon Endogenous Economic Growth Model

Author

Listed:
  • Bingyue Wan

    (School of Mathematical Science, Huaiyin Normal University, Huai’an 223300, China)

Abstract

This paper incorporates cultural capital, urbanization development level and carbon emission reduction input as endogenous factors into the endogenous economic growth model. By using optimal control theory and based on empirical analysis, this paper explores the relationship between cultural capital and green low-carbon endogenous economic growth. This paper finds that at the company level, cultural capital improves the technical efficiency and institutional efficiency of firms and then promotes economic growth. At the government level, cultural capital and government investment in urban fixed cultural assets promotes economic growth. At the resident level, the transformation of cultural capital into environmental protection awareness promotes firms and residents to independently practice green low-carbon behaviors. Firms can independently research and develop green low-carbon digital science and technology and produce green low-carbon digital goods, and residents can engage in green digital consumption, thereby reducing carbon emissions and carbon emission input and promoting economic growth. This paper explores the role of cultural capital in firms’ R&D, then promotes green low-carbon transformation of firms by exploring the role of cultural capital in government investment, promoting the government to increase investment in green low-carbon cultural education, exploring the impact of cultural capital on the thinking and behavior of firms and residents, and promoting the independent practice of green low-carbon behavior by firms and residents, ultimately promoting the development of a green low-carbon economy.

Suggested Citation

  • Bingyue Wan, 2024. "The Impact of Cultural Capital on Economic Growth Based on Green Low-Carbon Endogenous Economic Growth Model," Sustainability, MDPI, vol. 16(5), pages 1-17, February.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:5:p:1781-:d:1343221
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/5/1781/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/5/1781/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chu, Hsun & Lai, Ching-chong, 2014. "Abatement R&D, market imperfections, and environmental policy in an endogenous growth model," Journal of Economic Dynamics and Control, Elsevier, vol. 41(C), pages 20-37.
    2. Wang, Chongmei, 2016. "Study on the dynamic evaluation of the regional green low-carbon transformation in China evidence from Qingdao, Yantai and Weihai," Chaos, Solitons & Fractals, Elsevier, vol. 89(C), pages 147-152.
    3. Wan, Bingyue & Tian, Lixin & Zhu, Naiping & Gu, Liqin & Zhang, Guangyong, 2018. "A new endogenous growth model for green low-carbon behavior and its comprehensive effects," Applied Energy, Elsevier, vol. 230(C), pages 1332-1346.
    4. Feng, Yidai & Yuan, Huaxi & Liu, Yaobin, 2023. "The energy-saving effect in the new transformation of urbanization," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 41-59.
    5. Varvarigos, Dimitrios, 2023. "Cultural persistence in corruption, economic growth, and the environment," Journal of Economic Dynamics and Control, Elsevier, vol. 147(C).
    6. Yao, Yourong & Shen, Yue & Liu, Kexin, 2023. "Investigation of resource utilization in urbanization development: An analysis based on the current situation of carbon emissions in China," Resources Policy, Elsevier, vol. 82(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yuan Zhu & Bingyue Wan & Lixin Tian, 2022. "Protection of Intellectual Property Rights, Financial Development and Green Low-Carbon Endogenous Economic Growth," Sustainability, MDPI, vol. 14(20), pages 1-20, October.
    2. Min Fu & Xinyu Ye & Lixin Tian & Bingyue Wan, 2023. "Green Low-Carbon Extraction Behavior and Realization of Carbon Rebalancing Evolution," Sustainability, MDPI, vol. 15(6), pages 1-36, March.
    3. Xi Wang & Xiangli Wu & Nanchen Chu & Yilin Zhang & Limin Wang, 2024. "Coupling Relationship between Urbanization and Green Total Factor Productivity in the Context of Population Shrinkage: Evidence from the Rust Belt Region of China," Sustainability, MDPI, vol. 16(3), pages 1-22, February.
    4. Xingwei Li & Jianguo Du & Hongyu Long, 2019. "Green Development Behavior and Performance of Industrial Enterprises Based on Grounded Theory Study: Evidence from China," Sustainability, MDPI, vol. 11(15), pages 1-19, July.
    5. Meng Wang & Junqi Yu & Meng Zhou & Wei Quan & Renyin Cheng, 2023. "Joint Forecasting Model for the Hourly Cooling Load and Fluctuation Range of a Large Public Building Based on GA-SVM and IG-SVM," Sustainability, MDPI, vol. 15(24), pages 1-23, December.
    6. Wang, Chao & Zhan, Jinyan & Wang, Huihui & Yang, Zheng & Chu, Xi & Liu, Wei & Teng, Yanmin & Liu, Huizi & Wang, Yifan, 2022. "Multi-group analysis on the mechanism of residents' low-carbon behaviors in Beijing, China," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    7. Rafael Robina Ramírez & Manuel Pulido Fernández, 2018. "Religious Travellers’ Improved Attitude towards Nature," Sustainability, MDPI, vol. 10(9), pages 1-23, August.
    8. Wei Xiong & Danping Liu & Zizi Li & Qiaoyi Wang & Shibin Yao, 2024. "How Does Ant Forest Influence Low Carbon Consumption Behavior: An Analysis Based on the S-O-R Model," Sustainability, MDPI, vol. 16(5), pages 1-17, February.
    9. Bingyue Wan & Lixin Tian & Wenbin Zhang & Guangyong Zhang, 2023. "Environmental effects of behavior growth under green development," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 10821-10855, October.
    10. Yi, Yongxi & Xu, Rongwei & Zhang, Sheng, 2019. "A differential game of R&D investment for pollution abatement in different market structures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 587-600.
    11. Abdullah F. Alnaim & Nadia Abdelhamid Abdelmegeed Abdelwahed & Bahadur Ali Soomro, 2022. "Environmental Challenges and Green Innovation Strategy: A Vigorous Development of Greener Dynamics," Sustainability, MDPI, vol. 14(15), pages 1-18, August.
    12. Shuai Shao & Zhigao Hu & Jianhua Cao & Lili Yang & Dabo Guan, 2020. "Environmental Regulation and Enterprise Innovation: A Review," Business Strategy and the Environment, Wiley Blackwell, vol. 29(3), pages 1465-1478, March.
    13. Yuanying Chi & Situo Xu & Xiaolei Yang & Jialin Li & Xufeng Zhang & Yahui Chen, 2023. "Research on Beijing Manufacturing Green-Oriented Transition Path under “Double Carbon” Goal-Based on the GML-SD Model," Sustainability, MDPI, vol. 15(9), pages 1-17, May.
    14. Yuhuan Xia & Yubo Liu & Changlin Han & Yang Gao & Yuanyuan Lan, 2022. "How Does Environmentally Specific Servant Leadership Fuel Employees’ Low-Carbon Behavior? The Role of Environmental Self-Accountability and Power Distance Orientation," IJERPH, MDPI, vol. 19(5), pages 1-17, March.
    15. Klarl, Torben, 2016. "Pollution externalities, endogenous health and the speed of convergence in an endogenous growth model," Journal of Macroeconomics, Elsevier, vol. 50(C), pages 98-113.
    16. Decai Tang & Yan Zhang & Brandon J Bethel, 2020. "A Comprehensive Evaluation of Carbon Emission Reduction Capability in the Yangtze River Economic Belt," IJERPH, MDPI, vol. 17(2), pages 1-16, January.
    17. Lu, You-Xun & Chen, Shi-kuan & Lai, Ching-chong, 2022. "Subsidies, Entry, and Economic Growth in a Schumpeterian Model with Incumbents and Entrants," MPRA Paper 112179, University Library of Munich, Germany.
    18. Ran Yu & Zhangchi Wang & Yan Li & Zuhui Wen & Weijia Wang, 2023. "Does Population Aging Affect Carbon Emission Intensity by Regulating Labor Allocation?," Sustainability, MDPI, vol. 15(12), pages 1-19, June.
    19. Cheng Chen & Yajie Gao & Yidong Qin, 2023. "A Causal Relationship between the New-Type Urbanization and Energy Consumption in China: A Panel VAR Approach," Sustainability, MDPI, vol. 15(14), pages 1-18, July.
    20. Li, Tong & Wang, Zhaohua & Zhao, Wenhui, 2022. "Comparison and application potential analysis of autoencoder-based electricity pattern mining algorithms for large-scale demand response," Technological Forecasting and Social Change, Elsevier, vol. 177(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:5:p:1781-:d:1343221. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.