Abstract
AbstractThis paper studies financing constraints of small‐ and medium‐sized enterprises (SMEs) in Guangdong–Hong Kong–Macao Greater Bay Area from the perspective of supply chain finance and examines how the supply chain finance affects the financing of SMEs. First, based on the cash‐cash flow sensitivity model, a multiple regression model is constructed. The results show that the supply chain finance could alleviate the financing constraints of SMEs. Second, a multi‐objective programming model is established, and an optimal solution is found by the genetic algorithm. It is concluded that the enterprise should allocate the appropriate amount of funds to obtain the optimal financing effect; to obtain the maximum financing benefit, the optimal strategy should be 65.2% of the supply chain finance capital. Finally, some suggestions are proposed forward to promote the development of SMEs in the bay area.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
