The Configuration Effect of Tea Enterprises’ Sustainable Production Technologies in China: Based on the FsQCA Method

• Autorzy: Chen Yihui

Identyfikatory

DOI

10.35784/pe.2023.1.26

Warianty tytułu

PL

Wpływ konfiguracji technologii zrównoważonej produkcji przedsiębiorstw herbacianych w Chinach: w oparciu o metodę FsQCA

• Języki publikacji: EN

Abstrakty

EN

Using the survey data of 45 tea enterprises in Fujian Province, China, this paper adopted fuzzy set qualitative comparative analysis (fsQCA) to study the adoption of the sustainable production technologies by tea enterprises. The results show that there are two configurations for the path to achieve the adoption of high sustainable production technologies. The core condition combination of the first configuration is the existence of sustainable development capabilities, the degree of government support, and the resource and environmental endowment, while that of the second configuration is the existence of enterprise expected value, industrial organization mode and the resource and environmental endowment. Moreover, the path achieving non-highly sustainable production technologies adoption mainly summarized as a configuration. Specifically, the core condition is the absence of sustainable development capabilities, enterprise development strategies, and the resource and environmental endowments. Furthermore, some practical policy recommendations were put forward based on the above conclusions in this paper.

PL

Korzystając z danych ankietowych 45 przedsiębiorstw herbacianych w prowincji Fujian w Chinach, w niniejszym artykule przyjęto jakościową analizę porównawczą zbiorów rozmytych (fsQCA) w celu zbadania przyjęcia zrównoważonych technologii produkcji przez przedsiębiorstwa produkujące herbatę. Wyniki pokazują, że istnieją dwie konfiguracje ścieżki prowadzącej do przyjęcia wysoce zrównoważonych technologii produkcji. Podstawową kombinacją warunków pierwszej konfiguracji jest możliwość zrównoważonego rozwoju, stopnia wsparcia rządowego oraz wyposażenia w zasoby i środowisko, podczas gdy druga konfiguracja to wartość oczekiwana przedsiębiorstwa, tryb organizacji przemysłowej oraz zasobów i dotacja środowiskowa. Ponadto ścieżka prowadząca do przyjęcia niezbyt zrównoważonych technologii produkcji została podsumowana głównie jako konfiguracja. Podstawowym warunkiem jest brak możliwości zrównoważonego rozwoju, strategii rozwoju przedsiębiorstw oraz zasobów i środków środowiskowych. Ponadto w niniejszym dokumencie przedstawiono kilka praktycznych zaleceń dotyczących polityki opartych na powyższych wnioskach.

Słowa kluczowe

EN

agricultural enterprise; sustainable production technologies; fsQCA; China

PL

przedsiębiorstwo rolne; technologie zrównoważonej produkcji; fsQCA; Chiny

• Wydawca: Lublin University of Technology
• Czasopismo: Problemy Ekorozwoju
• Rocznik: 2023
• Tom: Vol. 18, nr 1
• Strony: 251--260
• Opis fizyczny: Bibliogr. 28 poz., fig., tab.

Twórcy

autor

Chen Yihui

• Fujian Agriculture and Forestry University, Anxi College of Tea Science, 15 Shangxiadian Rd, 350002, Fuzhou, China (China)

• https://orcid.org/0000-0002-1561-8888

Bibliografia

• 1. AI F. Y., WANG M. Z., 2018, Economic benefit evaluation of industrial enterprises based on BP neural network optimi-zation algorithm, Latin American Applied Research, 48(3): 223-227. Google Scholar
• 2. BOSCOIANU M., PRELIPCEAN G., LUPAN M., 2018, Innovation enterprise as a vehicle for sustainable development - A general framework for the design of typical strategies based on enterprise systems engineering, dynamic capabilities, and option thinking, Journal of Cleaner Production, 172: 3498-3507. Google Scholar
• 3. BOTEY M., VAQUERO-DIEGO M., SASTRE F. J., 2020, Perceived emotional intelligence of university professors based on the nature of the subject taught, Technological Forecasting and Social Change, 161, 120292. Google Scholar
• 4. CALABRESE A., COSTA R., LEVIALDI N., MENICHINI T., 2019, Integrating sustainability into strategic decision-making: A fuzzy AHP method for the selection of relevant sustainability issues, Technological Forecasting and Social Change, 139: 155-168. Google Scholar
• 5. FELZENSZTEIN C., DEANS K. R., DANA L., 2019, Small firms in regional clusters: Local networks and international-ization in the Southern Hemisphere, Journal of Small Business Management, 57(2): 496-516. Google Scholar
• 6. GLIGOR D., BOZKURT S., RUSSO I., 2019, Achieving customer engagement with social media: A qualitative compar-ative analysis approach, Journal of Business Research, 101: 59-69. Google Scholar
• 7. GRECKHAMER T., FURNARI S., FISS P. C., AGUILERA R. V., 2018, Studying configurations with qualitative comparative analysis: Best practices in strategy and organization research, Strategic Organization, 16(4): 482-495. Google Scholar
• 8. GRZEŚKOWIAK J., ŁOCHYŃSKA M., FRANKOWSKI J., 2022, Sericulture in terms of sustainable development in agriculture, Problemy Ekorozwoju/ Problems of Sustainable Development, 17(2): 210-217. Google Scholar
• 9. GUO K., ZHANG T. T., 2021, Research on the development path and growth mechanism of unicorn enterprises, Mathe-matical Problems in Engineering, 2021, 9960828. Google Scholar
• 10. HUANG M. X., WANG Z. Z., CHEN T., 2019, Analysis on the theory and practice of industrial symbiosis based on bibliometrics and social network analysis, Journal of Cleaner Production, 213: 956-967. Google Scholar
• 11. HUYBERS T., BENNETT J., 2003, Environmental management and the competitiveness of nature-based tourism desti-nations, Environmental and Resource Economics, 24(3): 213-233. Google Scholar
• 12. KRAUS S., RIBEIRO-SORIANO D., SCHÜSSLER M., 2018, Fuzzy-set qualitative comparative analysis (fsQCA) in entrepreneurship and innovation research - the rise of a method, International Entrepreneurship and Management Journal, 14: 15-33. Google Scholar
• 13. LI Y., XIAO H., BU N., LUO J., XIA H., KONG L., YU H., 2021, Configuration-based promotion: A new approach to destination image sustainability, Sustainability, 13(21), 12174. Google Scholar
• 14. LI Z. G., LI Y. K., LONG D., 2021, Research on the improvement of technical efficiency of China’s property insurance industry: A fuzzy-set qualitative comparative analysis, International Journal of Emerging Markets, 16(6): 1077-1104. Google Scholar
• 15. LIAO Z., 2018, Content analysis of China’s environmental policy instruments on promoting firms’ environmental innova-tion, Environmental Science and Policy, 88: 46-51. Google Scholar
• 16. LIU Y., MEZEI J., KOSTAKOS V., LI H., 2017, Applying configurational analysis to IS behavioral research: A meth-odological alternative for modelling combinatorial complexities, Information Systems Journal, 27(1): 59-89. Google Scholar
• 17. PAPATHEODOROU A., PAPPAS N., 2017, Economic recession, job vulnerability, and tourism decision making: A qualitative comparative analysis, Journal of Travel Research, 56(5): 663-677. Google Scholar
• 18. QIN Y. J., YANG J., 2020, Influence of the configuration effect of environment and organization factors on the innova-tion of information technology enterprises – Qualitative comparative analysis based on fuzzy set, Journal of Intelligent and Fuzzy Systems, 38(6): 6765-6775. Google Scholar
• 19. SCOTT A., STORPER M., 2003, Regions, globalization, development, Regional Studies, 37(6-7): 579-593. Google Scholar
• 20. ŠEREMEŠIĆ S., DOLIJANOVIĆ Ž., SIMIN M., VOJNOV B., TRBIĆ D., 2021, The future we want: Sustainable development goals accomplishment with organic agriculture, Problemy Ekorozwoju/ Problems of Sustainable Develop-ment, 16(2): 171-180. Google Scholar
• 21. THOMANN E., MAGGETTI M., 2020, Designing research with qualitative comparative analysis (QCA): Approaches, challenges, and tools, Sociological Methods and Research, 49(2): 356-386. Google Scholar
• 22. TRACEY M., VONDEREMBSE M. A., LIM J.-S., 1999, Manufacturing technology and strategy formulation: Keys to enhancing competitiveness and improving performance, Journal of Operations Management, 17(4): 411-428. Google Scholar
• 23. VEIGA L. E., MAGRINI A., 2009, Eco-industrial park development in Rio de Janeiro, Brazil: a tool for sustainable development, Journal of Cleaner Production, 17: 653-661. Google Scholar
• 24. WU Y. N., XIAO X. L., SONG Z. Y., 2017, Competitiveness analysis of coal industry in China: A diamond model study, Resources Policy, 52: 39-53. Google Scholar
• 25. YANG T., LONG R., LI W., 2018, Suggestion on tax policy for promoting the PPP projects of charging infrastructure in China, Journal of Cleaner Production, 174: 133-138. Google Scholar
• 26. ZHANG Y. H., CHEN S., FAN J., 2020, Enterprise growth model: ‘pollution’ or ‘environmental protection’, Environ-mental Engineering and Management Journal, 19(9): 1605-1613. Google Scholar
• 27. ZHOU Y., XU G., MINSHALL T., LIU P., 2015, How do public demonstration projects promote green-manufacturing technologies? A case study from China, Sustainable Development, 23(4): 217-231. Google Scholar
• 28. ZHU N., BU Y., JIN M., MBROH N., 2020, Green financial behavior and green development strategy of Chinese power companies in the context of carbon tax, Journal of Cleaner Production, 245, 118908. Google Scholar