IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i2p923-d1024909.html
   My bibliography  Save this article

Analysis of Factors Influencing the Corporate Performance of Listed Companies in China’s Agriculture and Forestry Sector Based on a Panel Threshold Model

Author

Listed:
  • Yong Sun

    (Institute of Quantitative and Technological Economics, Chinese Academy of Social Sciences, Beijing 100732, China
    These authors contributed equally to this work.)

  • Hui Liu

    (School of Economics and Management, Nanjing Forestry University, Nanjing 210037, China
    These authors contributed equally to this work.)

  • Jiwei Liu

    (School of Applied Economics, University of Chinese Academy of Social Sciences, Beijing 102488, China)

  • Mingyu Sun

    (School of Applied Economics, University of Chinese Academy of Social Sciences, Beijing 102488, China)

  • Qun Li

    (Institute of Ecological Development, China ECO Development Association, Beijing 100013, China)

Abstract

The global food crisis caused by COVID-19 and the Russia–Ukraine conflict have made many countries around the world realize the significance of agroforestry to a country’s food security. However, China’s agroforestry R&D innovation is currently lagging behind in development, and some agricultural seeds are heavily dependent on foreign countries, which seriously affects China’s national food security. It is especially important to explore the reasons why China’s agroforestry R&D and innovation is lagging behind. As listed agroforestry companies face the market demand directly, there is an urgent need to study the R&D innovations of listed agroforestry companies at present. This paper analyzes the impacts of R&D innovation, corporate management and supply chain management on the corporate performance of listed agroforestry companies using the entropy weighting method, GMM estimation and panel threshold model, mainly by selecting annual panel data from CSMAR for the period 2010 to 2021. The following conclusions were drawn: (1) There is a nonlinear relationship between R&D innovation and firm performance, and a “U”-shaped relationship. This indicates that there is an entrance threshold for R&D innovation in the agroforestry industry, below which corporate performance does not improve. (2) There is a nonlinear relationship between corporate management and corporate performance, and a U-shaped relationship. (3) There is a nonlinear relationship between supply chain management and firm performance, with an inverted-U-shaped relationship. This paper explains the reasons for the slow development of R&D innovation in China’s agriculture and forestry industry and fills the gap in the theoretical study of the nonlinear relationship between R&D innovation and corporate performance of listed companies in China’s agriculture and forestry industry. Finally, this paper provides a theoretical basis for the decision making of government departments related to agriculture and forestry, and offers some suggestions for listed companies in agriculture and forestry to improve their corporate performance.

Suggested Citation

  • Yong Sun & Hui Liu & Jiwei Liu & Mingyu Sun & Qun Li, 2023. "Analysis of Factors Influencing the Corporate Performance of Listed Companies in China’s Agriculture and Forestry Sector Based on a Panel Threshold Model," Sustainability, MDPI, vol. 15(2), pages 1-21, January.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:2:p:923-:d:1024909
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/2/923/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/2/923/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xiao Wei & Haicheng Xu & Beiqi Zhang & Jianlong Li, 2019. "Infrastructure Operation Efficiency and Influential Factors in Developing Countries: Evidence from China," Sustainability, MDPI, vol. 11(3), pages 1-14, January.
    2. Nollet, Joscha & Filis, George & Mitrokostas, Evangelos, 2016. "Corporate social responsibility and financial performance: A non-linear and disaggregated approach," Economic Modelling, Elsevier, vol. 52(PB), pages 400-407.
    3. Deligianni, Ioanna & Voudouris, Irini & Spanos, Yiannis & Lioukas, Spyros, 2019. "Non-linear effects of technological competence on product innovation in new technology-based firms: Resource orchestration and the role of the entrepreneur's political competence and prior start-up ex," Technovation, Elsevier, vol. 88(C).
    4. Daniel Ogachi & Richard Ndege & Peter Gaturu & Zeman Zoltan, 2020. "Corporate Bankruptcy Prediction Model, a Special Focus on Listed Companies in Kenya," JRFM, MDPI, vol. 13(3), pages 1-14, March.
    5. Farouq Altahtamouni & Ahoud Alfayhani & Amna Qazaq & Arwa Alkhalifah & Hajar Masfer & Ryoof Almutawa & Shikhah Alyousef, 2022. "Sustainable Growth Rate and ROE Analysis: An Applied Study on Saudi Banks Using the PRAT Model," Economies, MDPI, vol. 10(3), pages 1-12, March.
    6. Inaba, Kei-Ichiro, 2021. "Corporate cash and governance: A global look into publicly-traded companies' aggregate cash ratios," International Review of Financial Analysis, Elsevier, vol. 78(C).
    7. Hyejin Cho & Pyoungsoo Lee & Choong Ho Shin, 2022. "Executive Turnover and Founder CEO Experience: Effect on New Ventures’ R&D Investment," Economies, MDPI, vol. 10(5), pages 1-13, April.
    8. da Silva Stefano, Gustavo & Antunes, Tiago dos Santos & Lacerda, Daniel Pacheco & Wolf Motta Morandi, Maria Isabel & Piran, Fabio Sartori, 2022. "The impacts of inventory in transfer pricing and net income: Differences between traditional accounting and throughput accounting," The British Accounting Review, Elsevier, vol. 54(2).
    9. Hongyong Fu & Jiawen Li & Yujie Li & Shengzhong Huang & Xiangkai Sun, 2018. "Risk Transfer Mechanism for Agricultural Products Supply Chain Based on Weather Index Insurance," Complexity, Hindawi, vol. 2018, pages 1-17, August.
    10. Ahsan, Tanveer & Al-GAMRH, Bakr & Mirza, Sultan Sikandar, 2022. "Economic policy uncertainty and sustainable financial growth: Does business strategy matter?," Finance Research Letters, Elsevier, vol. 46(PB).
    11. Lixia Liu & Xueli Zhan, 2019. "Analysis of Financing Efficiency of Chinese Agricultural Listed Companies Based on Machine Learning," Complexity, Hindawi, vol. 2019, pages 1-11, July.
    12. Sudam Shingade & Shailesh Rastogi & Venkata Mrudula Bhimavarapu & Abhijit Chirputkar, 2022. "Shareholder Activism and Its Impact on Profitability, Return, and Valuation of the Firms in India," JRFM, MDPI, vol. 15(4), pages 1-20, March.
    13. Geng, Ruibin & Bose, Indranil & Chen, Xi, 2015. "Prediction of financial distress: An empirical study of listed Chinese companies using data mining," European Journal of Operational Research, Elsevier, vol. 241(1), pages 236-247.
    14. Ren, Xiaohang & Zhang, Xiao & Yan, Cheng & Gozgor, Giray, 2022. "Climate policy uncertainty and firm-level total factor productivity: Evidence from China," Energy Economics, Elsevier, vol. 113(C).
    15. Leguizamon, Francisco & Selva, Guillermo & Santos, Manuel, 2016. "Small farmer suppliers from local to global," Journal of Business Research, Elsevier, vol. 69(10), pages 4520-4525.
    16. Kun Wang & Qinyue Lu & Xiang Cao & Yuhao Wang & Yanni Wu & Zhi Chen & Zhangping Yang, 2022. "Application and Development of Natural Plant Metabolite Oleanolic Acid in the Nano Era," Agriculture, MDPI, vol. 12(12), pages 1-21, December.
    17. Chao Bian & Christopher Gan & Zhaohua Li & Baiding Hu, 2016. "Corporate social responsibility engagement, corporate financial performance and CEO characteristics," International Journal of Business Governance and Ethics, Inderscience Enterprises Ltd, vol. 11(3), pages 243-265.
    18. Maung, Yun Shwe Yee & Douglas, Ian & Tan, David, 2022. "Identifying the drivers of profitable airline growth," Transport Policy, Elsevier, vol. 115(C), pages 275-285.
    19. Łukasz Matuszak & Ewa Różańska, 2019. "A Non-Linear and Disaggregated Approach to Studying the Impact of CSR on Accounting Profitability: Evidence from the Polish Banking Industry," Sustainability, MDPI, vol. 11(1), pages 1-21, January.
    20. Solomon Asfaw & Giacomo Branca, 2018. "Introduction and Overview," Natural Resource Management and Policy, in: Leslie Lipper & Nancy McCarthy & David Zilberman & Solomon Asfaw & Giacomo Branca (ed.), Climate Smart Agriculture, pages 3-12, Springer.
    21. Boeing, Philipp & Eberle, Jonathan & Howell, Anthony, 2022. "The impact of China's R&D subsidies on R&D investment, technological upgrading and economic growth," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    22. Kaouther Chebbi & Mohammed Abdullah Ammer, 2022. "Board Composition and ESG Disclosure in Saudi Arabia: The Moderating Role of Corporate Governance Reforms," Sustainability, MDPI, vol. 14(19), pages 1-25, September.
    23. Paniagua, Jordi & Rivelles, Rafael & Sapena, Juan, 2018. "Corporate governance and financial performance: The role of ownership and board structure," Journal of Business Research, Elsevier, vol. 89(C), pages 229-234.
    24. Susana G. Azevedo & Minelle E. Silva & João C. O. Matias & Gustavo P. Dias, 2018. "The Influence of Collaboration Initiatives on the Sustainability of the Cashew Supply Chain," Sustainability, MDPI, vol. 10(6), pages 1-29, June.
    25. Fareed, Zeeshan & Wang, Nianyong & Shahzad, Farrukh & Meran Shah, Syed Ghulam & Iqbal, Najaf & Zulfiqar, Bushra, 2022. "Does good board governance reduce idiosyncratic risk in emerging markets? Evidence from China," Journal of Multinational Financial Management, Elsevier, vol. 65(C).
    26. Maria Raimondo & Francesco Caracciolo & Luigi Cembalo & Gaetano Chinnici & Biagio Pecorino & Mario D’Amico, 2018. "Making Virtue Out of Necessity: Managing the Citrus Waste Supply Chain for Bioeconomy Applications," Sustainability, MDPI, vol. 10(12), pages 1-20, December.
    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. Tafadzwa Mark Wasara & Fortune Ganda, 2019. "The Relationship between Corporate Sustainability Disclosure and Firm Financial Performance in Johannesburg Stock Exchange (JSE) Listed Mining Companies," Sustainability, MDPI, vol. 11(16), pages 1-23, August.
    2. Łukasz Matuszak & Ewa Różańska, 2019. "A Non-Linear and Disaggregated Approach to Studying the Impact of CSR on Accounting Profitability: Evidence from the Polish Banking Industry," Sustainability, MDPI, vol. 11(1), pages 1-21, January.
    3. Ren, Xiaohang & Xia, Xixia & Taghizadeh-Hesary, Farhad, 2023. "Uncertainty of uncertainty and corporate green innovation—Evidence from China," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 634-647.
    4. Krisztina Szegedi & Yahya Khan & Csaba Lentner, 2020. "Corporate Social Responsibility and Financial Performance: Evidence from Pakistani Listed Banks," Sustainability, MDPI, vol. 12(10), pages 1-19, May.
    5. Amir Gholami & John Sands & Habib Ur Rahman, 2022. "Environmental, Social and Governance Disclosure and Value Generation: Is the Financial Industry Different?," Sustainability, MDPI, vol. 14(5), pages 1-17, February.
    6. Juan Pineiro-Chousa & Noelia Romero-Castro & Marcos Vizcaíno-González, 2019. "Inclusions in and Exclusions from the S&P 500 Environmental and Socially Responsible Index: A Fuzzy-Set Qualitative Comparative Analysis," Sustainability, MDPI, vol. 11(4), pages 1-31, February.
    7. Monika Wieczorek-Kosmala & Dorota Marquardt & Jarosław Kurpanik, 2021. "Drivers of Sustainable Performance in European Energy Sector," Energies, MDPI, vol. 14(21), pages 1-17, October.
    8. Woo Sung Kim & Kunsu Park & Sang Hoon Lee, 2018. "Corporate Social Responsibility, Ownership Structure, and Firm Value: Evidence from Korea," Sustainability, MDPI, vol. 10(7), pages 1-20, July.
    9. José Solana‐Ibáñez & Manuel Caravaca‐Garratón, 2021. "Stakeholder engagement and corporate social reputation: The influence of exogenous factors on efficiency performance (stakeholder engagement and exogenous factors): Stakeholder engagement and exogenou," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 28(6), pages 1891-1905, November.
    10. Shang Gao & Fanchen Meng & Zhouyang Gu & Zhiyuan Liu & Muhammad Farrukh, 2021. "Mapping and Clustering Analysis on Environmental, Social and Governance Field a Bibliometric Analysis Using Scopus," Sustainability, MDPI, vol. 13(13), pages 1-17, June.
    11. Juan Diego Alzate-G mez & Di genes Lagos Cort s & Percy Marquina Fieldman, 2020. "Corporate Social Responsibility Practices and Economic Performance in Colombia: The Moderating Effect of Family Control," International Journal of Economics and Financial Issues, Econjournals, vol. 10(1), pages 6-18.
    12. Remo-Diez, Nieves & Mendaña-Cuervo, Cristina & Arenas-Parra, Mar, 2023. "Exploring the asymmetric impact of sustainability reporting on financial performance in the utilities sector: A longitudinal comparative analysis," Utilities Policy, Elsevier, vol. 84(C).
    13. Maria-Lenuţa Ciupac-Ulici & Daniela-Georgeta Beju & Ioan-Alin Nistor & Flaviu Pișcoran, 2023. "The impact of the Altman score on the energy sector companies," Journal of Financial Studies, Institute of Financial Studies, vol. 8(Special-J), pages 45-56, June.
    14. Wafa Ghardallou & Noha Alessa, 2022. "Corporate Social Responsibility and Firm Performance in GCC Countries: A Panel Smooth Transition Regression Model," Sustainability, MDPI, vol. 14(13), pages 1-21, June.
    15. Zhenghui Li & Yan Wang & Yong Tan & Zimei Huang, 2020. "Does Corporate Financialization Affect Corporate Environmental Responsibility? An Empirical Study of China," Sustainability, MDPI, vol. 12(9), pages 1-19, May.
    16. Irina-Eugenia Iamandi & Laura-Gabriela Constantin & Sebastian Madalin Munteanu & Bogdan Cernat-Gruici, 2019. "Mapping the ESG Behavior of European Companies. A Holistic Kohonen Approach," Sustainability, MDPI, vol. 11(12), pages 1-41, June.
    17. Xiaowei Chen & Cong Zhai, 2023. "Bagging or boosting? Empirical evidence from financial statement fraud detection," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(5), pages 5093-5142, December.
    18. Li, Chunyu & Lou, Chenxin & Luo, Dan & Xing, Kai, 2021. "Chinese corporate distress prediction using LASSO: The role of earnings management," International Review of Financial Analysis, Elsevier, vol. 76(C).
    19. Omaima A.G. Hassan & Peter Romilly, 2018. "Relations between corporate economic performance, environmental disclosure and greenhouse gas emissions: New insights," Business Strategy and the Environment, Wiley Blackwell, vol. 27(7), pages 893-909, November.
    20. Zhou, Fanyin & Fu, Lijun & Li, Zhiyong & Xu, Jiawei, 2022. "The recurrence of financial distress: A survival analysis," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1100-1115.

    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:15:y:2023:i:2:p:923-:d:1024909. 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.