科技金融政策促进科技企业发展的资源配置效率研究——来自北京市的实证调查

以北京市科技企业为调查对象,对科技金融政策促进企业发展的资源配置效率进行问卷调查分析,结果发现：各分项政策效率由高到低排序依次为财政补贴、金融监管、服务平台、税收优惠、科技保险、风险投资、科技担保、科技信贷政策;政策资源配置在不同产权类型、注册资本、行业类型、员工规模、资质类型、成立年限和年营业收入之间的均衡程度不同;政策激励偏重于创业明朗期和成熟期实力雄厚的企业、区级高技术企业以及国家战略扶持或市场需求较强行业,对创业危险期和成长转型期企业、市级高技术企业、风险较高行业激励性较弱。因此,建议政策优化时处理好以下关系：助强与扶弱、需求与供给、优先与平衡、创业与后劲、管制与放开、独立与协同。

Resource Allocation Efficiency of Science and Technology Finance Policy on Promoting the Development of Science and Technology Enterprises

Taking science and technology (S&T) enterprises in Beijing as the object of investigation, this paper conducts a questionnaire survey on the efficiency of resource allocation of S&T financial policy to promote enterprises' development.Research finds that efficiency of policies rank from high to low in the following sequence:fiscal subsidy,financial supervision, service platform,tax preferential,S&T insurance, venture investment, S&T guarantee and credit policies;the equilibrium degrees of resource allocation are different among different enterprises' kinds including ownership system, registered capital, industries type, employee size, qualifications type, established years and annual revenue;policy incentives focus on enterprises surviving in start-up stage and progressing in maturity stage, district high-tech enterprises, industries with national strategic supporting or strong market demand while incentives rarely on enterprises in start-up crisis stage and in growing stage, municipal high-tech enterprises and industries with higher risks.The following relationships should be handled in policy optimization: aiding the stronger and weaker, demand and supply, priority and balance, start-up and stamina, regulation and liberalization, independence and synergy.