КОРРЕЛЯЦИИ НИЗКОУГЛЕРОДНЫХ ИННОВАЦИЙ НА УРОВНЕ КОМПАНИЙ В КИТАЙСКИХ АГРОФИРМАХ

Авторы

DOI:

https://doi.org/10.5281/zenodo.20970723

Ключевые слова:

листинговые компании агробизнеса, низкоуглеродные инновации, «зеленые» патенты, цифровые патенты, редкие результаты, PPML, Китай

Лицензия

Метаданные этой статьи распространяются под лицензией CC BY 4.0

Аннотация

В данном исследовании рассматриваются корреляции низкоуглеродных инноваций на уровне фирм среди китайских компаний агробизнеса, зарегистрированных на бирже. Используя объединенную панель данных за год из 316 фирм и 3920 наблюдений за период с 1998 по 2021 год, рассматривается патентование низкоуглеродных технологий как редкий инновационный результат, а не как регулярно наблюдаемая непрерывная переменная: в 93,1% наблюдений за год, проведенных фирмами, не зафиксировано ни одной заявки на низкоуглеродный патент. Эмпирический анализ позволяет разделить два показателя: подает ли фирма хотя бы один патент на низкоуглеродную продукцию в течение определенного года и как меняется безусловный годовой показатель по всей выборке за год работы фирмы. Результат подсчета оценивается с помощью объединенной пуассоновской псевдомаксимальной вероятности, в то время как предел вероятности возникновения оценивается с помощью объединенной линейной вероятности, логит-коэффициента и дополнительных логарифмических спецификаций. Независимые переменные сгруппированы по условиям ресурсных возможностей, смежным запасам инноваций и дополнительным показателям взаимосвязи. С точки зрения технических требований, размер фирмы и выбранные переменные структуры баланса являются наиболее стабильными показателями, влияющими на патентование низкоуглеродных технологий. Запас патентов на «зеленые» технологии, накопленный до истечения срока действия, является наиболее сильным показателем, связанным с инновациями. Поскольку категории патентов «зеленый» и «низкоуглеродистый» могут пересекаться, в исследовании в качестве основного критерия измерения используется точное исключение совпадений на уровне патентов, и сохраняется положительная связь между «зеленым» и «низкоуглеродистым» запасами. Запас цифровых патентов, выданных до начала периода, более чувствителен к дизайну модели и более заметен в свидетельствах о появлении и сроках действия, чем в моделях с полным подсчетом выборок. Прокси с географическим охватом на основе филиалов и статические прокси с привязкой к акционерному капиталу дают лишь ограниченную дополнительную объяснительную ценность после проверки характеристик фирмы и запаздывающих инновационных запасов. Полученные результаты носят скорее описательный, а не причинно-следственный характер, и в основном отражают различия между фирмами в объединенной группе. Они предполагают, что патентование низкоуглеродных технологий в этом секторе сосредоточено среди более крупных и способных к инновациям фирм, а не является общим результатом расширения сети.

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Биографии авторов

  • Александр Александрович Тарасьев, Уральский федеральный университет имени первого президента России Б.Н. Ельцина

    кандидат экономических наук, доцент, заведующий кафедрой системного анализа и принятия решений

  • Вэйцзюнь Чжу, Уральский федеральный университет имени первого президента России Б.Н. Ельцина

    аспирант Высшей школы экономики и менеджмента

Библиографические ссылки

1. Ahuja, G. (2000). Collaboration networks, structural holes, and innovation: A longitudinal study. Administrative Science Quarterly, 45(3), 425–455. https://doi.org/10.2307/2667105.

2. Amore, M.D., & Bennedsen, M. (2016). Corporate governance and green innovation. Journal of Environmental Economics and Management, 75, 54–72. https://doi.org/10.1016/j.jeem.2015.11.003.

3. Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120. https://doi.org/10.1177/014920639101700108.

4. 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. https://doi.org/10.1016/S0095-0696(02)00058-X.

5. Cohen, W.M., & Levinthal, D.A. (1990). Absorptive capacity: A new perspective on learning and innovation. Administrative Science Quarterly, 35(1), 128–152. https://doi.org/10.2307/2393553.

6. Hart, S.L. (1995). A natural-resource-based view of the firm. The Academy of Management Review, 20(4), 986–1014. https://doi.org/10.2307/258963.

7. Hart, S.L., & Dowell, G. (2011). Invited editorial: A natural-resource-based view of the firm: fifteen years after. Journal of Management, 37(5), 1464–1479. https://doi.org/10.1177/0149206310390219.

8. He, J., & Shen, X. (2024). Institutional investor cross-ownership networks and green innovation: Evidence from China. International Review of Economics & Finance, 96, 103657. https://doi.org/10.1016/j.iref.2024.103657.

9. Horbach, J. (2008). Determinants of environmental innovation –New evidence from german panel data sources. Research Policy, 37(1), 163–173. https://doi.org/10.1016/j.respol.2007.08.006.

10. Hunjra, A.I., Zhao, S., Goodell, J.W., & Liu, X. (2024). Digital economy policy and corporate low-carbon innovation: Evidence from a quasi-natural experiment in China. Finance Research Letters, 60, 104910. https://doi.org/10.1016/j.frl.2023.104910.

11. Jaffe, A.B., & Palmer, K. (1997). Environmental regulation and innovation: A panel data study. The Review of Economics and Statistics, 79(4), 611–619. https://doi.org/10.1162/003465397557196.

12. Jiang, L., & Bai, Y. (2022). Strategic or substantive innovation? - The impact of institutional investors’ site visits on green innovation evidence from China. Technology in Society, 68, 101904. https://doi.org/10.1016/j.techsoc.2022.101904.

13. Jin, C., Monfort, A., Chen, F., Xia, N., & Wu, B. (2024). Institutional investor ESG activism and corporate green innovation against climate change: Exploring differences between digital and non-digital firms. Technological Forecasting and Social Change, 200, 123129. https://doi.org/10.1016/j.techfore.2023.123129.

14. Kong, Z., Du, J., Kong, Y., & Cui, X. (2024). Financial development, environmental regulation, and corporate green technology innovation: Evidence from chinese listed companies. Finance Research Letters, 62, 105122. https://doi.org/10.1016/j.frl.2024.105122.

15. Li, F., Xu, X., Li, Z., Du, P., & Ye, J. (2021). Can low-carbon technological innovation truly improve enterprise performance? The case of Chinese manufacturing companies. Journal of Cleaner Production, 293, 125949. https://doi.org/10.1016/j.jclepro.2021.125949.

16. Li, H., Liu, Z., & Hachard, V. (2024). Digital transformation driving green innovation: Evidence from Chinese a-share firms. International Review of Economics & Finance, 95, 103487. https://doi.org/10.1016/j.iref.2024.103487.

17. Li, X., Shao, X., Chang, T., & Albu, L. L. (2022). Does digital finance promote the green innovation of China’s listed companies? Energy Economics, 114, 106254. https://doi.org/10.1016/j.eneco.2022.106254.

18. Luo, Y., Liu, Y., Wang, D., & Han, W. (2024). Low-carbon city pilot policy and enterprise low-carbon innovation–a quasi-natural experiment from China. Economic Analysis and Policy, 83, 204–222. https://doi.org/10.1016/j.eap.2024.06.014.

19. Lyu, Y., Bai, Y., & Zhang, J. (2024). Digital transformation and enterprise low-carbon innovation: A new perspective from innovation motivation. Journal of Environmental Management, 365, 121663. https://doi.org/10.1016/j.jenvman.2024.121663.

20. McCullagh, P. (1989). Generalized linear models (2nd ed.). Routledge. https://doi.org/10.1201/9780203753736.

21. Pan, A., & Cao, X. (2024). Pilot free trade zones and low-carbon innovation: Evidence from listed companies in China. Energy Economics, 136, 107752. https://doi.org/10.1016/j.eneco.2024.107752.

22. Pan, A., Zhang, W., Shi, X., & Dai, L. (2022). Climate policy and low-carbon innovation: Evidence from low-carbon city pilots in China. Energy Economics, 112, 106129. https://doi.org/10.1016/j.eneco.2022.106129.

23. Porter, M.E., & van der Linde, C. (1995). Toward a new conception of the environment-competitiveness relationship. Journal of Economic Perspectives, 9(4), 97–118. https://doi.org/10.1257/jep.9.4.97.

24. Rennings, K. (2000). Redefining innovation—Eco-innovation research and the contribution from ecological economics. Ecological Economics, 32(2), 319–332. https://doi.org/10.1016/S0921-8009(99)00112-3.

25. Silva, J. M. C. S., & Tenreyro, S. (2006). The Log of Gravity. The Review of Economics and Statistics, 88(4), 641–658. https://doi.org/10.1162/rest.88.4.641.

26. Tang, H., Tong, M., & Chen, Y. (2024). Green investor behavior and corporate green innovation: Evidence from chinese listed companies. Journal of Environmental Management, 366, 121691. https://doi.org/10.1016/j.jenvman.2024.121691.

27. Tang, M., Liu, Y., Hu, F., & Wu, B. (2023). Effect of digital transformation on enterprises’ green innovation: Empirical evidence from listed companies in China. Energy Economics, 128, 107135. https://doi.org/10.1016/j.eneco.2023.107135.

28. Wang, K., & Jiang, W. (2021). State ownership and green innovation in China: The contingent roles of environmental and organizational factors. Journal of Cleaner Production, 314, 128029. https://doi.org/10.1016/j.jclepro.2021.128029.

29. Wang, L., Li, M., Wang, W., Gong, Y., & Xiong, Y. (2023). Green innovation output in the supply chain network with environmental information disclosure: An empirical analysis of Chinese listed firms. International Journal of Production Economics, 256, 108745. https://doi.org/10.1016/j.ijpe.2022.108745.

30. Xu, C., Sun, G., & Kong, T. (2024). The impact of digital transformation on enterprise green innovation. International Review of Economics & Finance, 90, 1–12. https://doi.org/10.1016/j.iref.2023.11.001.

31. Yu, H., Peng, F., Yuan, T., Li, D., & Shi, D. (2023). The effect of low-carbon pilot policy on low-carbon technological innovation in China: Reexamining the porter hypothesis using difference-in-difference-in-differences strategy. Journal of Innovation & Knowledge, 8(3), 100392. https://doi.org/10.1016/j.jik.2023.100392.

32. Yuan, Y., Guo, X., & Shen, Y. (2024). Digitalization drives the green transformation of agriculture-related enterprises: A case study of a-share agriculture-related listed companies. Agriculture, 14(8), 1308. https://doi.org/10.3390/agriculture14081308.

33. Zhang, D., Rong, Z., & Ji, Q. (2019). Green innovation and firm performance: Evidence from listed companies in China. Resources, Conservation and Recycling, 144, 48–55. https://doi.org/10.1016/j.resconrec.2019.01.023.

34. Zhang, J., Yu, C.-H., Zhao, J., & Lee, C.-C. (2025). How does corporate digital transformation affect green innovation? Evidence from China’s enterprise data. Energy Economics, 142, 108217. https://doi.org/10.1016/j.eneco.2025.108217.

35. Zhang, X., Song, Y., & Zhang, M. (2023). Exploring the relationship of green investment and green innovation: Evidence from Chinese corporate performance. Journal of Cleaner Production, 412, 137444. https://doi.org/10.1016/j.jclepro.2023.137444.

36. Zhao, Z., Liu, W., Ning, Y., & Yang, S. (2024). Can China go green through digitalization? Evidence from china’s listed firms. International Review of Economics & Finance, 94, 103398. https://doi.org/10.1016/j.iref.2024.103398.

37. Zheng, Y., & Zhang, Q. (2023). Digital transformation, corporate social responsibility and green technology innovation- based on empirical evidence of listed companies in China. Journal of Cleaner Production, 424, 138805. https://doi.org/10.1016/j.jclepro.2023.138805.

References

1. Ahuja, G. (2000). Collaboration networks, structural holes, and innovation: A longitudinal study. Administrative Science Quarterly, 45(3), 425–455. https://doi.org/10.2307/2667105.

2. Amore, M.D., & Bennedsen, M. (2016). Corporate governance and green innovation. Journal of Environmental Economics and Management, 75, 54–72. https://doi.org/10.1016/j.jeem.2015.11.003.

3. Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120. https://doi.org/10.1177/014920639101700108.

4. 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. https://doi.org/10.1016/S0095-0696(02)00058-X.

5. Cohen, W.M., & Levinthal, D.A. (1990). Absorptive capacity: A new perspective on learning and innovation. Administrative Science Quarterly, 35(1), 128–152. https://doi.org/10.2307/2393553.

6. Hart, S.L. (1995). A natural-resource-based view of the firm. The Academy of Management Review, 20(4), 986–1014. https://doi.org/10.2307/258963.

7. Hart, S.L., & Dowell, G. (2011). Invited editorial: A natural-resource-based view of the firm: fifteen years after. Journal of Management, 37(5), 1464–1479. https://doi.org/10.1177/0149206310390219.

8. He, J., & Shen, X. (2024). Institutional investor cross-ownership networks and green innovation: Evidence from China. International Review of Economics & Finance, 96, 103657. https://doi.org/10.1016/j.iref.2024.103657.

9. Horbach, J. (2008). Determinants of environmental innovation –New evidence from german panel data sources. Research Policy, 37(1), 163–173. https://doi.org/10.1016/j.respol.2007.08.006.

10. Hunjra, A.I., Zhao, S., Goodell, J.W., & Liu, X. (2024). Digital economy policy and corporate low-carbon innovation: Evidence from a quasi-natural experiment in China. Finance Research Letters, 60, 104910. https://doi.org/10.1016/j.frl.2023.104910.

11. Jaffe, A.B., & Palmer, K. (1997). Environmental regulation and innovation: A panel data study. The Review of Economics and Statistics, 79(4), 611–619. https://doi.org/10.1162/003465397557196.

12. Jiang, L., & Bai, Y. (2022). Strategic or substantive innovation? - The impact of institutional investors’ site visits on green innovation evidence from China. Technology in Society, 68, 101904. https://doi.org/10.1016/j.techsoc.2022.101904.

13. Jin, C., Monfort, A., Chen, F., Xia, N., & Wu, B. (2024). Institutional investor ESG activism and corporate green innovation against climate change: Exploring differences between digital and non-digital firms. Technological Forecasting and Social Change, 200, 123129. https://doi.org/10.1016/j.techfore.2023.123129.

14. Kong, Z., Du, J., Kong, Y., & Cui, X. (2024). Financial development, environmental regulation, and corporate green technology innovation: Evidence from chinese listed companies. Finance Research Letters, 62, 105122. https://doi.org/10.1016/j.frl.2024.105122.

15. Li, F., Xu, X., Li, Z., Du, P., & Ye, J. (2021). Can low-carbon technological innovation truly improve enterprise performance? The case of Chinese manufacturing companies. Journal of Cleaner Production, 293, 125949. https://doi.org/10.1016/j.jclepro.2021.125949.

16. Li, H., Liu, Z., & Hachard, V. (2024). Digital transformation driving green innovation: Evidence from Chinese a-share firms. International Review of Economics & Finance, 95, 103487. https://doi.org/10.1016/j.iref.2024.103487.

17. Li, X., Shao, X., Chang, T., & Albu, L. L. (2022). Does digital finance promote the green innovation of China’s listed companies? Energy Economics, 114, 106254. https://doi.org/10.1016/j.eneco.2022.106254.

18. Luo, Y., Liu, Y., Wang, D., & Han, W. (2024). Low-carbon city pilot policy and enterprise low-carbon innovation–a quasi-natural experiment from China. Economic Analysis and Policy, 83, 204–222. https://doi.org/10.1016/j.eap.2024.06.014.

19. Lyu, Y., Bai, Y., & Zhang, J. (2024). Digital transformation and enterprise low-carbon innovation: A new perspective from innovation motivation. Journal of Environmental Management, 365, 121663. https://doi.org/10.1016/j.jenvman.2024.121663.

20. McCullagh, P. (1989). Generalized linear models (2nd ed.). Routledge. https://doi.org/10.1201/9780203753736.

21. Pan, A., & Cao, X. (2024). Pilot free trade zones and low-carbon innovation: Evidence from listed companies in China. Energy Economics, 136, 107752. https://doi.org/10.1016/j.eneco.2024.107752.

22. Pan, A., Zhang, W., Shi, X., & Dai, L. (2022). Climate policy and low-carbon innovation: Evidence from low-carbon city pilots in China. Energy Economics, 112, 106129. https://doi.org/10.1016/j.eneco.2022.106129.

23. Porter, M.E., & van der Linde, C. (1995). Toward a new conception of the environment-competitiveness relationship. Journal of Economic Perspectives, 9(4), 97–118. https://doi.org/10.1257/jep.9.4.97.

24. Rennings, K. (2000). Redefining innovation—Eco-innovation research and the contribution from ecological economics. Ecological Economics, 32(2), 319–332. https://doi.org/10.1016/S0921-8009(99)00112-3.

25. Silva, J. M. C. S., & Tenreyro, S. (2006). The Log of Gravity. The Review of Economics and Statistics, 88(4), 641–658. https://doi.org/10.1162/rest.88.4.641.

26. Tang, H., Tong, M., & Chen, Y. (2024). Green investor behavior and corporate green innovation: Evidence from chinese listed companies. Journal of Environmental Management, 366, 121691. https://doi.org/10.1016/j.jenvman.2024.121691.

27. Tang, M., Liu, Y., Hu, F., & Wu, B. (2023). Effect of digital transformation on enterprises’ green innovation: Empirical evidence from listed companies in China. Energy Economics, 128, 107135. https://doi.org/10.1016/j.eneco.2023.107135.

28. Wang, K., & Jiang, W. (2021). State ownership and green innovation in China: The contingent roles of environmental and organizational factors. Journal of Cleaner Production, 314, 128029. https://doi.org/10.1016/j.jclepro.2021.128029.

29. Wang, L., Li, M., Wang, W., Gong, Y., & Xiong, Y. (2023). Green innovation output in the supply chain network with environmental information disclosure: An empirical analysis of Chinese listed firms. International Journal of Production Economics, 256, 108745. https://doi.org/10.1016/j.ijpe.2022.108745.

30. Xu, C., Sun, G., & Kong, T. (2024). The impact of digital transformation on enterprise green innovation. International Review of Economics & Finance, 90, 1–12. https://doi.org/10.1016/j.iref.2023.11.001.

31. Yu, H., Peng, F., Yuan, T., Li, D., & Shi, D. (2023). The effect of low-carbon pilot policy on low-carbon technological innovation in China: Reexamining the porter hypothesis using difference-in-difference-in-differences strategy. Journal of Innovation & Knowledge, 8(3), 100392. https://doi.org/10.1016/j.jik.2023.100392.

32. Yuan, Y., Guo, X., & Shen, Y. (2024). Digitalization drives the green transformation of agriculture-related enterprises: A case study of a-share agriculture-related listed companies. Agriculture, 14(8), 1308. https://doi.org/10.3390/agriculture14081308.

33. Zhang, D., Rong, Z., & Ji, Q. (2019). Green innovation and firm performance: Evidence from listed companies in China. Resources, Conservation and Recycling, 144, 48–55. https://doi.org/10.1016/j.resconrec.2019.01.023.

34. Zhang, J., Yu, C.-H., Zhao, J., & Lee, C.-C. (2025). How does corporate digital transformation affect green innovation? Evidence from China’s enterprise data. Energy Economics, 142, 108217. https://doi.org/10.1016/j.eneco.2025.108217.

35. Zhang, X., Song, Y., & Zhang, M. (2023). Exploring the relationship of green investment and green innovation: Evidence from Chinese corporate performance. Journal of Cleaner Production, 412, 137444. https://doi.org/10.1016/j.jclepro.2023.137444.

36. Zhao, Z., Liu, W., Ning, Y., & Yang, S. (2024). Can China go green through digitalization? Evidence from china’s listed firms. International Review of Economics & Finance, 94, 103398. https://doi.org/10.1016/j.iref.2024.103398.

37. Zheng, Y., & Zhang, Q. (2023). Digital transformation, corporate social responsibility and green technology innovation- based on empirical evidence of listed companies in China. Journal of Cleaner Production, 424, 138805. https://doi.org/10.1016/j.jclepro.2023.138805.

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Опубликован

2026-07-02

Выпуск

Раздел

ЭКОНОМИКО-МАТЕМАТИЧЕСКИЕ И СТАТИСТИЧЕСКИЕ МЕТОДЫ И МОДЕЛИ

Как цитировать

[1]
2026. КОРРЕЛЯЦИИ НИЗКОУГЛЕРОДНЫХ ИННОВАЦИЙ НА УРОВНЕ КОМПАНИЙ В КИТАЙСКИХ АГРОФИРМАХ . Новое в экономической кибернетике. 2 (Jul. 2026), 107–122. DOI:https://doi.org/10.5281/zenodo.20970723.