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Fuzzy-Set Qualitative Comparative Analysis (fsQCA) in **amen’s High-Quality Industrial Development

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HCI in Business, Government and Organizations (HCII 2023)

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Abstract

The industrial economy serves as the “ballast stone” for the national economy’s persistent and steady growth, acting as a potent stimulus for macroeconomic expansion and assuring societal stability. This paper employed fuzzy set qualitative comparative analysis (fsQCA) method to explore how different combinations of factors link to the high-quality industrial development. Based on the results of the configuration path analysis, this paper recognized three configuration paths suitable for **amen’s industrial high-quality development, including high-quality industrial development mainly based on the domestic general cycle path, domestic and international dual cycle of industrial high-quality development path, and outward-oriented path of high-quality industrial development path. In the context of the economic new normal and high-quality development, this paper focuses on the influence mechanism of industrial high-quality development in **amen provides new empirical evidence for the government to formulate the relevant policy.

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References

  1. Abbasi, G.A., Sandran, T., Ganesan, Y., Iranmanesh, M.: Go cashless! determinants of continuance intention to use E-wallet apps: a hybrid approach using PLS-SEM and fsQCA. Technol. Soc. 68 (2022). https://doi.org/10.1016/j.techsoc.2022.101937

  2. Amara, N., Rhaiem, M., Halilem, N.: Assessing the research efficiency of Canadian scholars in the management field: evidence from the DEA and fsQCA. J. Bus. Res. 115, 296–306 (2020)

    Article  Google Scholar 

  3. Beynon, M.J., Jones, P., IPickernell, D.: Country-level entrepreneurial attitudes and activity through the years: a panel data analysis using fsQCA. J. Bus. Res. 115, 443–455 (2020)

    Article  Google Scholar 

  4. Cao, Z.Y.: Research on the new manufacturing model to promote high-quality development of China’s industry under the background of digital economy. Theor. Invest. (2), 99–104 (2018)

    Google Scholar 

  5. Chen, B.L., Qi, Y.W.: The impact of reverse technology spillover effect of OFDI on enterprise innovation: empirical analysis based on provincial panel data. Jiangxi Soc. Sci. 41(12), 58–65 (2021)

    Google Scholar 

  6. Chen, L.: An investigation of FDI effect on factor income distribution and the development of the manufacturing industry. J. Suzhou Univ. Sci. Techonol. (Soc. Sci. Edn.) 29(2), 26–31 (2012)

    Google Scholar 

  7. Chen, R.J., Huang, S.Q., Ji, X.C., Tao, W.J.: Selection of urban environmental policy to promote high-quality industrial development. Asia-Pacific Econ. Rev. (3), 113–124 (2019)

    Google Scholar 

  8. Chi, J.M.: Research on factors affecting the provincial and municipal annual total industrial output. Think Tank Era (39), 36–37 (2019)

    Google Scholar 

  9. Di Paola, N.: Pathways to academic entrepreneurship: the determinants of female scholars’ entrepreneurial intentions. J. Technol. Transf. 46, 1417–1441 (2021)

    Article  Google Scholar 

  10. Du, Y.Z., Liu, Q.C., Cheng, J.Q.: What kind of ecosystem for doing business will contribute to city-level high entrepreneurial activity? A research based on institutional configurations. J. Manag. World 36(9), 141–155 (2020)

    Google Scholar 

  11. Dul, J.: Identifying single necessary conditions with NCA and fsQCA. J. Bus. Res. 69(4), 1516–1523 (2016)

    Article  Google Scholar 

  12. Fang, L., Guo, X.C.: The impact of technological innovation on the development of the intelligent industry system: evidence from Henan, China. J. Intell. Fuzzy Syst. 38(6), 6905–6909 (2020)

    Article  Google Scholar 

  13. Fiss, P.C.: Building better casual theories: a fuzzy set approach to typologies in organizational research. Acad. Manag. J. 54(2), 393–420 (2011)

    Article  Google Scholar 

  14. Gupta, K., Crilly, D., Greckhamer, T.: Stakeholder engagement strategies, national institutions, and firm performance: a configurational perspective. Strateg. Manag. J. 41(10), 1869–1900 (2020)

    Article  Google Scholar 

  15. Harms, R., Kraus, S., Schwarz, E.: The suitability of the configuration approach in entrepreneurship research. Entrep. Reg. Dev. 21(1), 25–49 (2009)

    Article  Google Scholar 

  16. Hu, J.P., Ma, S., Zou, Q., Zeng, Y.X.: An empirical analysis of the factors affecting the increase of output value of enterprises in Tibet. Hubei Agric. Sci. 59(S1), 452–454+458 (2020)

    Google Scholar 

  17. Huang, Y.J., Li, S.H., **ang, X.Y., Bu, Y.J., Guo, Y.: How can the combination of entrepreneurship policies activate regional innovation capability? A comparative study of Chinese provinces based on fsQCA. J. Innov. Knowl. 7(3) (2022). https://doi.org/10.1016/j.jik.2022.100227

  18. Hui, S.P., Wang, X.H., Shan, J.R.: Research on the driving path and driving effect of China’s industrial high-quality development. Shanghai J. Econ. (10), 53–61+76 (2021)

    Google Scholar 

  19. Jovanovic, J., Morschett, D.: Under which conditions do manufacturing companies choose FDI for service provision in foreign markets? An investigation using fsQCA. Ind. Mark. Manag. 104, 38–50 (2022). https://doi.org/10.1016/j.indmarman.2022.03.018

    Article  Google Scholar 

  20. Kraus, S., Ribeiro-Soriano, D., Schüssler, M.: Fuzzy-set qualitative comparative analysis (fsQCA) in entrepreneurship and innovation research - the rise of a method. Int. Entrepreneurship Manag. J. 14, 15–33 (2018)

    Article  Google Scholar 

  21. Lee, C.K.H.: How guest-host interactions affect consumer experiences in the sharing economy: new evidence from a configurational analysis based on consumer reviews. Decis. Supp. Syst. 152 (2022). https://doi.org/10.1002/smj.3204

  22. Lin, P., Meng, N.N.: Biased technological progress, factor allocation distortion and high-quality development of China’s industrial economy: from the perspective of technological congruence. Shanghai J. Econ. (8), 72–91 (2021)

    Google Scholar 

  23. Lin, Y.Q.: An empirical study on “Haze” governance promoting the high-quality development of industrial economy: empirical analysis based on PSM-DID model. J. Ind. Technol. Econ. 41(7), 130–137 (2022)

    MathSciNet  Google Scholar 

  24. Llopis-Albert, C., Palacios-Marqués, D., & Simón-Moya, V.: Fuzzy set qualitative comparative analysis (fsQCA) applied to the adaptation of the automobile industry to meet the emission standards of climate change policies via the deployment of electric vehicles (EVs). Technol. Forecast. Soc. Change 169, 120843 (2021). https://doi.org/10.1016/j.techfore.2021.120843

  25. Mehran, J., Olya, H.G.: Canal boat tourism: application of complexity theory. J. Retail. Consum. Serv. 53(1) (2020). https://doi.org/10.1016/j.jretconser.2019.101954

  26. Misangyi, V.F., Greckhamer, T., Furnari, S., Fiss, P.C., Crilly, D., Aguilera, R.: Embracing causal complexity. J. Manag. 43, 255–282 (2017)

    Google Scholar 

  27. Pappas, I.O., Woodside, A.G.: Fuzzy-set qualitative comparative analysis (fsQCA): guidelines for research practice in information systems and marketing. Int. J. Inf. Manag. 58 (2021)

    Google Scholar 

  28. Prentice, C.: Testing complexity theory in service research. J. Serv. Mark. 34, 149–162 (2019)

    Article  Google Scholar 

  29. Ragin, C.C.: Measurement versus calibration: a set-theoretic approach: the Oxford Handbook of Political Methodology (2008)

    Google Scholar 

  30. Ragin, C.C.: Qualitative Comparative Analysis Using Fuzzy Sets (fsQCA). SAGE Publications, London (2009)

    Book  Google Scholar 

  31. Ragin, C.C., Fiss, P.C.: Net effects analysis versus configurational analysis: an empirical demonstration. Redes. Soc. Inq.: Fuzzy Sets Beyond 240, 190–212 (2008)

    Google Scholar 

  32. Schneider, C.Q., Wagenmann, C.: Qualitative comparative analysis (fsQCA) and fuzzy-sets: agenda for a research approach and a data analysis technique. Comp. Sociol. 9(3), 376–396 (2010)

    Article  Google Scholar 

  33. Shao, W., Wu, T.L.: Intelligence, factor market and high-quality development of industrial economy. Inquiry into Economic Issues (2), 112–127 (2022)

    Google Scholar 

  34. Shi, D., Li, P.: Quality evolution and assessment of China’s industry over the past seven decades. China Ind. Econ. (9), 5–23 (2019)

    Google Scholar 

  35. Song, X.N., Xue, H.F.: Environmental regulation, FDI spillover and green technology innovation in manufacturing industry. Stat. Decis. (4), 81–85 (2022)

    Google Scholar 

  36. Sun, J.S., Dong, Y.J.: Human capital, material capital and economic growth: Based on empirical research on Chinese Data. J. Shanxi Univ. Finan. Econ. (4), 37–43 (2007)

    Google Scholar 

  37. Wu, F.: Econometric analysis of factors affecting China's total industrial output. Guide to Business (4), 16–17 (2015)

    Google Scholar 

  38. **ao, Y.F., Jiang, Y.: Research on the influence of digital economy on industrial green production efficiency. Mod. Manag. Sci. (8), 100–109 (2021)

    Google Scholar 

  39. **e, A.M., Luo, Z.H., **e, W.J.: To study on the relationship between S & T input of large & medium industrial enterprises and gross industrial output value in Guangxi province. J. Guangxi Minzu Univ. (Nat. Sci. Edn.), 16(1), 81–84+100 (2010)

    Google Scholar 

  40. Yu, W.C., Liang, P.H.: Unvertainty, business environment and private enterprises’ vitality. China Ind. Econ. (11), 136–154 (2019)

    Google Scholar 

  41. Yuan, L.J., Du, X.P.: Business environment and industrial total factor productivity: An empirical analysis based on panel data of provincial industrial sectors in 1994–2014. J. Harbin Univ. Comm. (Soc. Sci. Edn.) (5), 55–67 (2018)

    Google Scholar 

  42. Zhang, H., Long, S.: How business environment shapes urban tourism industry development? Configuration effects based on NCA and fsQCA. Front. Psychol. 13, 947794 (2022). https://doi.org/10.3389/fpsyg.2022.947794

    Article  Google Scholar 

  43. Zhang, L., He, L.Y.: Have industrial enterprises contributed to the high-quality development of China’s economy? An empirical study based on 952 listed enterprises. J. China Univ. Min. Technol. (Soc. Sci.) 23(2), 102–117 (2021)

    Google Scholar 

  44. Zhang, Y.W., Liu, L.B.: Does the improvement of business environment promote foreign direct investment? Int. Bus. (1), 59–70 (2020)

    Google Scholar 

  45. Zhang, Y.W., Lu, X.H., Zhang, M.M., Ren, B., Zou, Y.C., Lv, T.G.: Understanding farmers’ willingness in arable land protection cooperation by using fsQCA: roles of perceived benefits and policy incentives. J. Nat. Conserv. 68 (2022). https://doi.org/10.1016/j.jnc.2022.126234

  46. Zhou, Y.X., Huang, J.: Environmental regulation, technological innovation and high quality development of industrial economy: analysis of dynamic spatial SAR model based on prefecture-level cities in China. Soft Sci. 1–14 (2022)

    Google Scholar 

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Authors and Affiliations

  1. School of Business Administration, Jimei University, **amen, 361021, China

    Yin Zheng, Hang Jiang & Yuyang Lin

Authors
  1. Yin Zheng
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  2. Hang Jiang
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  3. Yuyang Lin
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Corresponding author

Correspondence to Yuyang Lin .

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Editors and Affiliations

  1. City University of Hong Kong, Kowloon, Hong Kong

    Fiona Nah

  2. City University of Hong Kong, Kowloon, Hong Kong

    Keng Siau

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Zheng, Y., Jiang, H., Lin, Y. (2023). Fuzzy-Set Qualitative Comparative Analysis (fsQCA) in **amen’s High-Quality Industrial Development. In: Nah, F., Siau, K. (eds) HCI in Business, Government and Organizations. HCII 2023. Lecture Notes in Computer Science, vol 14039. Springer, Cham. https://doi.org/10.1007/978-3-031-36049-7_8

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  • DOI: https://doi.org/10.1007/978-3-031-36049-7_8

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