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Pricing for Green Product

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Enterprises’ Green Growth Model and Value Chain Reconstruction

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Abstract

The rise in consumers’ green preferences promotes manufacturers to produce and provide green products and services, which is conducive to achieving sustainable enterprise development and meeting consumers’ growing green consumption demand. In the competition between green and common products, price is still one of the key factors affecting consumers’ purchase decisions. There is information asymmetry in the green product market, which will lead to “bad money drives out good”. Consumers have incomplete knowledge and information about green products, and cannot accurately know about the green state of products. Consumers can only make indirect judgments through product prices. If the price is too high, some consumers give up their purchases. Whereas if it is too low, it will not only fail to cover the production cost but will also make consumers question the quality of green products. Based on the above analysis, this chapter focuses on the impact of green product pricing in enterprises’ green growth model of and analyzes the differences in pricing between green products and common products. In addition, it discusses the factors that enterprises need to consider when making green product pricing decisions. Then, based on the theoretical analysis, pricing models of green products between manufacturers and consumers, retailers, and the government are established, and the influence of information asymmetry on the pricing of green products under different conditions is analyzed. Finally, the conditions for distinguishing qualified and unqualified green products in the market are discussed to promote standardized operation of the green product market and improve the confidence of consumers in the green market.

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Notes

  1. 1.

    https://www.sohu.com/a/363240287_694904.

  2. 2.

    https://www.cosmoplat.com/news/detail?newsid=2513&sourcePage=search.

  3. 3.

    http://www.gov.cn/zhengce/zhengceku/2021-12/31/content_5665857.htm.

  4. 4.

    http://sdg-china.net/portal/article/index/id/727/cid/5.html.

  5. 5.

    https://www.miit.gov.cn/jgsj/jns/wjfb/art/2020/art_40aa852f1c654540bc53b7f9594809e1.html.

  6. 6.

    http://www.gov.cn/zhengce/zhengceku/2020-03/19/5493065/files/8c46733fd72b47779e8ae64b4fec2977.pdf.

  7. 7.

    http://www.gov.cn/zhengce/2020-04/01/content_5497820.htm.

References

  1. Yang, M., Chen, H., Long, R., Wang, Y., Hou, C., & Liu, B. (2021). Will the public pay for green products? Based on analysis of the influencing factors for Chinese’s public willingness to pay a price premium for green products. Environmental Science and Pollution Research, 28(43), 61408–61422.

    Article  Google Scholar 

  2. Zhong, S., & Chen, J. (2019). How environmental beliefs affect consumer willingness to pay for the greenness premium of low-carbon agricultural products in China: Theoretical model and survey-based evidence. Sustainability, 11(3), 592.

    Article  Google Scholar 

  3. Berger, J. (2019). Signaling can increase consumers’ willingness to pay for green products. Theoretical model and experimental evidence. Journal of Consumer Behaviour, 18(3), 233–246.

    Google Scholar 

  4. Salladarre, F., Brecard, D., Lucas, S., & Ollivier, P. (2016). Are French consumers ready to pay a premium for eco-labeled seafood products? A contingent valuation estimation with heterogeneous anchoring. Agricultural Economics, 47(2), 247–258.

    Article  Google Scholar 

  5. Li, Y., Lu, Y., Zhang, X., Liu, L., Wang, M., & Jiang, X. (2016). Propensity of green consumption behaviors in representative cities in China. Journal of Cleaner Production, 133, 1328–1336.

    Article  Google Scholar 

  6. Wang, Y., Li, Y., Zhang, J., & Su, X. (2019). How impacting factors affect Chinese green purchasing behavior based on Fuzzy Cognitive Maps. Journal of Cleaner Production, 2019(240), 118199.

    Article  Google Scholar 

  7. Sha, R., Li, J., & Ge, T. (2021). How do price distortions of fossil energy sources affect China’s green economic efficiency? Energy, 232, 121017.

    Article  Google Scholar 

  8. Knapp, L., O’shaughnessy, E., Heeter, J., Mills, J., & Decicco, J. (2020). Will consumers really pay for green electricity? Comparing stated and revealed preferences for residential programs in the United States. Energy Research & Social Science, 65, 101457.

    Article  Google Scholar 

  9. Costantini, V., Crespi, F., Marin, G., & Paglialunga, E. (2017). Eco-innovation, sustainable supply chains and environmental performance in European industries. Journal of Cleaner Production, 155, 141–154.

    Article  Google Scholar 

  10. Zhang, R., Liu, J., & Qian, Y. (2022). Wholesale-price vs cost-sharing contracts in a green supply chain with reference price effect under different power structures. Kybernetes. https://doi.org/10.1108/k-11-2021-1096

    Article  Google Scholar 

  11. Susanty, A., Akshinta, P., Ulkhaq, M., & Puspitasari, N. (2022). Analysis of the tendency of transition between segments of green consumer behavior with a Markov chain approach. Journal of Modelling in Management. https://doi.org/10.1108/jm2-09-2020-0252

    Article  Google Scholar 

  12. Du, S., Tang, W., Zhao, J., & Nie, T. (2018). Sell to whom? Firm’s green production in competition facing market segmentation. Annals of Operations Research, 270(1–2), 125–154.

    Article  Google Scholar 

  13. Chang, T., Chen, Y., Yeh, L., & Li, H. (2021). Sustainable consumption models for customers: Investigating the significant antecedents of green purchase behavior from the perspective of information asymmetry. Journal of Environmental Planning and Management, 64(9), 1668–1688.

    Article  Google Scholar 

  14. Nuttavuthisit, K., & Thogersen, J. (2017). The importance of consumer trust for the emergence of a market for green products: The case of organic food. Journal of Business Ethics, 140(2), 323–337.

    Article  Google Scholar 

  15. Donald, D., Ketchen, D. J., Orlandi, I., Heugens, P., & Boyd, B. K. (2019). Information asymmetry in management research: Past accomplishments and future opportunities. Journal of Management, 45(1), 122–158.

    Google Scholar 

  16. Zhang, W. Y. (2012). Game theory and information economics. Truth & Wisdom Press.

    Google Scholar 

  17. Liu, K., Li, W., Cao, E., & Lan, Y. (2021). A behaviour-based pricing model of the green product supply chain. Environmental Science and Pollution Research, 28(46), 65923–65934.

    Article  Google Scholar 

  18. Heydari, J., Govindan, K., & Basiri, Z. (2020). Balancing price and green quality in presence of consumer environmental awareness: A green supply chain coordination approach. International Journal of Production Research, 59(7), 1957–1975.

    Article  Google Scholar 

  19. Shao, J., & Unal, E. (2019). What do consumers value more in green purchasing? Assessing the sustainability practices from demand side of business. Journal of Cleaner Production, 209, 1473–1483.

    Article  Google Scholar 

  20. Hong, Z., Wang, H., & Yu, Y. (2018). Green product pricing with non-green product reference. Transportation Research Part E: Logistics and Transportation Review, 115, 1–15.

    Article  Google Scholar 

  21. Meng, Q., Li, M., Li, Z., & Zhu, J. (2020). How different government subsidy objects impact on green supply chain decision considering consumer group complexity. Mathematical Problems in Engineering, 5387867.

    Google Scholar 

  22. Zhang, J., Li, S., & Zhang, S. (2019). Manufacturer encroachment with quality decision under asymmetric demand information. European Journal of Operational Research, 273, 217–236.

    Article  Google Scholar 

  23. Yenipazarli, A., & Vakharia, A. (2015). Pricing, market coverage and capacity: Can green and brown products co-exist? European Journal of Operational Research, 242, 304–315.

    Article  Google Scholar 

  24. Zhu, W., & He, Y. (2017). Green product design in supply chains under competition. European Journal of Operational Research, 258, 165–180.

    Article  Google Scholar 

  25. Yang, R., Tang, W., & Zhang, J. (2021). Technology improvement strategy for green products under competition: The role of government subsidy. European Journal of Operational Research, 289, 553–568.

    Article  Google Scholar 

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Authors and Affiliations

  1. School of Management, Xi’an Jiaotong University, Xi’an, Shaanxi, 710049, China

    Mengdan Wang, Nengmin Wang & Qi Jiang

  2. Department of Management, Driehaus College of Business, DePaul University, Chicago, IL, 60604, USA

    Bin Jiang

Authors
  1. Mengdan Wang
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  2. Nengmin Wang
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  3. Qi Jiang
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  4. Bin Jiang
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Correspondence to Nengmin Wang .

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Wang, M., Wang, N., Jiang, Q., Jiang, B. (2022). Pricing for Green Product. In: Enterprises’ Green Growth Model and Value Chain Reconstruction. Springer, Singapore. https://doi.org/10.1007/978-981-19-3991-4_8

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