{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T12:46:13Z","timestamp":1774269973879,"version":"3.50.1"},"reference-count":36,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2019,1,8]],"date-time":"2019-01-08T00:00:00Z","timestamp":1546905600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Social Science Fund of China (Major Program)","award":["No.13&ZD162"],"award-info":[{"award-number":["No.13&ZD162"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>Replacing traditional products with green products has become a key way to achieve decoupling between economic development and environmental pollution. As an incentive mechanism, subsidies can be provided by a government to facilitate the popularization and acceptance of green products. Subsidies play a significant role in encouraging the development of green products. We explored the proper optimal subsidy mechanism for green products from the angle of maximizing the net policy return, which cannot only encourage the development of green products but also do not aggravate financial burden for the government. In order to explore the optimal subsidy level for green products from the perspective of net policy benefit maximization, this paper established the optimal subsidy principal-agent models and a numerical example was presented to verify the effectiveness of the model we constructed. The results show that improving investors\u2019 preference and eliminating asymmetric information contribute to reduce subsidy cost savings. Additionally, improving consumer environmental awareness, promoting the development and application of green technology, and reducing market risk reduce subsidy costs. This article provides policymakers with an effective subsidy scheme to accelerate the development of green products and achieve sustainable development goals.<\/jats:p>","DOI":"10.3390\/sym11010063","type":"journal-article","created":{"date-parts":[[2019,1,9]],"date-time":"2019-01-09T03:06:06Z","timestamp":1547003166000},"page":"63","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":33,"title":["Optimal Subsidies for Green Products: A Maximal Policy Benefit Perspective"],"prefix":"10.3390","volume":"11","author":[{"given":"Liming","family":"Zhao","sequence":"first","affiliation":[{"name":"College of Management and Economics, Tianjin University, No. 92 Weijin Road, Tianjin 300072, China"}]},{"given":"Yanqing","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Management and Economics, Tianjin University, No. 92 Weijin Road, Tianjin 300072, China"}]}],"member":"1968","published-online":{"date-parts":[[2019,1,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"6271","DOI":"10.1073\/pnas.1220362110","article-title":"The material footprint of nations","volume":"112","author":"Wiedmann","year":"2013","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1108\/03068291311305044","article-title":"Decoupling natural resource use and environmental impacts from economic growth","volume":"40","author":"Simonis","year":"2013","journal-title":"Int. J. Soc. Econ."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1076","DOI":"10.1016\/j.jclepro.2017.09.190","article-title":"Green product development: What does the country product space imply?","volume":"170","author":"Fraccascia","year":"2018","journal-title":"J. Clean. Prod."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"850","DOI":"10.1016\/j.tre.2011.05.017","article-title":"The influence of green practices on supply chain performance: A case study approach","volume":"47","author":"Azevedo","year":"2011","journal-title":"Transp. Res. Part E Logist. Transp. Rev."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"729","DOI":"10.1016\/j.respol.2006.03.006","article-title":"The challenge of greening technologies\u2014Environmental policy integration in finnish technology policies","volume":"35","author":"Kivimaa","year":"2006","journal-title":"Res. Policy"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1016\/j.eswa.2016.02.038","article-title":"Sustainability assessment using fuzzy-inference technique (SAFT): A methodology toward green products","volume":"56","author":"Sabaghi","year":"2016","journal-title":"Expert Syst. Appl."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1699","DOI":"10.1016\/j.jclepro.2008.04.020","article-title":"From a literature review to a conceptual framework for sustainable supply chain management","volume":"16","author":"Seuring","year":"2008","journal-title":"J. Clean. Prod."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1016\/j.enpol.2017.10.026","article-title":"Why people want to buy electric vehicle: An empirical study in first-tier cities of China","volume":"112","author":"Lin","year":"2018","journal-title":"Energy Policy"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"949","DOI":"10.1016\/j.jclepro.2017.10.158","article-title":"A more realistic approach to electric vehicle contribution to greenhouse gas emissions in the city","volume":"172","year":"2018","journal-title":"J. Clean. Prod."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"503","DOI":"10.1007\/s11027-015-9685-5","article-title":"Optimal subsidies for distributed photovoltaic generation: Maximizing net policy benefits","volume":"22","author":"Chen","year":"2017","journal-title":"Mitig. Adapt. Strat. Glob. Chang."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1509\/jm.11.0264","article-title":"Double standard: The role of environmental consciousness in green product usage","volume":"76","author":"Lin","year":"2012","journal-title":"J. Mark."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1037\/a0017346","article-title":"Going green to be seen: Status, reputation, and conspicuous conservation","volume":"98","author":"Griskevicius","year":"2010","journal-title":"J. Personal. Soc. Psychol."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1080\/19397038.2012.680519","article-title":"Ecological profile of industrial products over the environmental compliance","volume":"6","author":"Fargnoli","year":"2013","journal-title":"Int. J. Sustain. Eng."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1016\/j.jclepro.2015.07.148","article-title":"The effect of environmental regulation on external trade: Empirical evidences from Chinese economy","volume":"114","author":"Wang","year":"2016","journal-title":"J. Clean. Prod."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Maichum, K., Parichatnon, S., and Peng, K.-C. (2016). Application of the extended theory of planned behavior model to investigate purchase intention of green products among Thai consumers. Sustainability, 8.","DOI":"10.3390\/su8101077"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1016\/j.jclepro.2015.02.067","article-title":"Investigating factors influencing consumer decision-making while choosing green products","volume":"132","author":"Maniatis","year":"2016","journal-title":"J. Clean. Prod."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"204","DOI":"10.1016\/j.jclepro.2015.09.087","article-title":"Consumer environmental concern and green product purchase in Malaysia: Structural effects of consumption values","volume":"132","author":"Suki","year":"2016","journal-title":"J. Clean. Prod."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1016\/j.enpol.2017.11.049","article-title":"How different policy instruments affect green product innovation: A differentiated perspective","volume":"114","author":"Stucki","year":"2018","journal-title":"Energy Policy"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"3267","DOI":"10.1016\/j.jclepro.2015.10.069","article-title":"Green supply chain performance with cost learning and operational inefficiency effects","volume":"112","author":"Zhang","year":"2016","journal-title":"J. Clean. Prod."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1016\/j.ejor.2013.11.021","article-title":"Supply chain analysis under a price-discount incentive scheme for electric vehicles","volume":"235","author":"Luo","year":"2014","journal-title":"Eur. J. Oper. Res."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"449","DOI":"10.1016\/j.jclepro.2016.04.032","article-title":"How realistic is green growth? Sectoral-level carbon intensity versus productivity","volume":"129","author":"Gazheli","year":"2016","journal-title":"J. Clean. Prod."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"396","DOI":"10.1016\/j.jeem.2014.01.001","article-title":"Environmental policies, competition and innovation in renewable energy","volume":"67","author":"Nesta","year":"2014","journal-title":"J. Environ. Econ. Manag."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Zheng, X., Lin, H., Liu, Z., Li, D., Llopis-Albert, C., and Zeng, S. (2018). Manufacturing decisions and government subsidies for electric vehicles in China: A maximal social welfare perspective. Sustainability, 10.","DOI":"10.3390\/su10030672"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"713","DOI":"10.1016\/j.jclepro.2010.01.008","article-title":"The natural advantage of regions: Linking sustainability, innovation, and regional development in Australia","volume":"18","author":"Potts","year":"2010","journal-title":"J. Clean. Prod."},{"key":"ref_25","first-page":"626","article-title":"Optimal subsidy policy for accelerating the diffusion of green products","volume":"6","author":"Peng","year":"2013","journal-title":"J. Ind. Eng. Manag."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"547","DOI":"10.1007\/s10479-016-2106-7","article-title":"Environmental subsidy and the choice of green technology in the presence of green consumers","volume":"255","author":"Bi","year":"2017","journal-title":"Ann. Oper. Res."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Guo, D., He, Y., Wu, Y., and Xu, Q. (2016). Analysis of supply chain under different subsidy policies of the government. Sustainability, 8.","DOI":"10.3390\/su8121290"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1108\/SCM-11-2015-0425","article-title":"On green market segmentation under subsidy regulation","volume":"22","author":"Li","year":"2017","journal-title":"Supply Chain Manag."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"866","DOI":"10.1016\/j.enpol.2013.04.055","article-title":"Boosting solar investment with limited subsidies: Rent management and policy learning in India","volume":"59","author":"Altenburg","year":"2013","journal-title":"Energy Policy"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1317","DOI":"10.1016\/j.ijproman.2015.03.002","article-title":"Evaluation of the excess revenue sharing ratio in PPP projects using principal\u2013agent models","volume":"33","author":"Wang","year":"2015","journal-title":"Int. J. Proj. Manag."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Zhang, X., Su, Y., and Yuan, X. (2018). Government reward-penalty mechanism in closed-loop supply chain based on dynamics game theory. Discret. Dyn. Nat. Soc., 1\u201310.","DOI":"10.1155\/2018\/3541823"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"899","DOI":"10.1016\/j.ijproman.2018.01.007","article-title":"Analysis of the risk-sharing ratio in PPP projects based on government minimum revenue guarantees","volume":"36","author":"Wang","year":"2018","journal-title":"Int. J. Proj. Manag."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"1029","DOI":"10.1007\/s10098-014-0859-8","article-title":"Design of effective subsidy policy to develop green buildings: From the perspective of policy benefit","volume":"17","author":"Chen","year":"2015","journal-title":"Clean Technol. Envir. Policy"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1016\/j.ijpe.2016.09.014","article-title":"Optimal production for manufacturers considering consumer environmental awareness and green subsidies","volume":"182","author":"Yu","year":"2016","journal-title":"Int. J. Prod. Econ."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10098-016-1216-x","article-title":"Optimal subsidy in promoting distributed renewable energy generation based on policy benefit","volume":"19","author":"Chen","year":"2017","journal-title":"Clean Technol. Environ. Policy"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1007\/s10700-011-9103-8","article-title":"A bilevel fuzzy principal-agent model for optimal nonlinear taxation problems","volume":"10","author":"Lan","year":"2011","journal-title":"Fuzzy Optim. Decis. Mak."}],"container-title":["Symmetry"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2073-8994\/11\/1\/63\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T12:24:17Z","timestamp":1760185457000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2073-8994\/11\/1\/63"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,1,8]]},"references-count":36,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2019,1]]}},"alternative-id":["sym11010063"],"URL":"https:\/\/doi.org\/10.3390\/sym11010063","relation":{},"ISSN":["2073-8994"],"issn-type":[{"value":"2073-8994","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,1,8]]}}}