Workflow
银税互动
icon
Search documents
政策赋能,要素保障!枣庄市民间投资同比增长居山东省第四!
Qi Lu Wan Bao· 2025-12-30 13:38
12月29日下午,枣庄市政府新闻办走进生产第一线,于滕州清峦福兴机床生产车间举行"枣庄市优化营 商环境 助力民营经济高质量发展"新闻发布会。枣庄市发展改革委党组成员、副主任,枣庄市粮食和物 资储备局局长,新闻发言人张健作新闻发布。 印发民营企业金融服务专项通知,建立分类分层服务机制,聚焦制造业、科技型、外贸类及产业链上下 游民营企业精准施策。健全民营企业贷款尽职免责和容错纠错机制,合理提高民营企业不良贷款容忍 度,打消金融机构"惜贷""惧贷"顾虑。截至11月末,全市民营企业贷款余额810.84亿元,较年初增加 98.34亿元,同比增速15.39%;民营企业有贷款余额户数93540户,较年初增加4600户。 引导金融机构突破传统抵押依赖,积极推广"信易贷""银税互动"等纯信用产品,支持供应链上下游企业 开展订单贷款、应收账款融资等业务,大力推广"无还本续贷"模式,将续贷对象扩至全部小微企业,并 阶段性扩至中型企业,严禁盲目停贷、压贷、抽贷、断贷。截至11月末,民营企业信用贷款余额274.73 亿元,同比增长35.12%,中小微企业无还本续贷余额53.83亿元,同比增长144.57%。 用好小微企业融资协调工作机 ...
疑难解码器​ ▏企业购买二手房,计提折旧这样处理
蓝色柳林财税室· 2025-12-13 15:08
Group 1 - The core concept of "Yin Tax Interaction" is to share tax credit evaluation results between tax authorities and banking institutions to alleviate information asymmetry in financing for small and micro enterprises [8] - The loan process involves the enterprise submitting a financing application and signing a tax information query authorization, allowing the bank to access the tax records for loan approval [8] - Eligible enterprises must have a good tax credit rating (A, B, M levels), stable tax payments, timely submission of financial reports, and no tax penalties [8] Group 2 - If an enterprise's tax credit does not meet the conditions, it can apply for credit restoration after correcting any credit violations within the scope defined by the tax authority [9] - Specific conditions that disqualify an enterprise from being rated as A-level include having less than three years of actual operation, a previous year's rating of D, or zero tax payable for three consecutive months or a total of six months due to non-normal reasons [12][13]
小微企业融资开启新气象!技术升级解码小微企业信用
Sou Hu Cai Jing· 2025-07-18 10:03
Core Viewpoint - The financing challenges faced by small and micro enterprises in China are a long-standing concern, but recent government policies have increased support, leading to significant growth in inclusive finance for these businesses [1][3]. Group 1: Financing Growth and Structure - As of February 2025, the balance of inclusive loans for small and micro enterprises reached 33.9 trillion yuan, with a year-on-year growth rate of 12.6%, surpassing the overall loan growth by 5.7 percentage points [3]. - The balance of credit loans reached 9.4 trillion yuan, with a year-on-year growth of 25.8%, and credit loans now account for 27.6% of inclusive loans, an increase of 2.9 percentage points from the previous year [3]. Group 2: Challenges in Credit Assessment - Small and micro enterprises often lack standardized financial reporting, making it difficult to collect and integrate data from various operational aspects [4]. - Traditional credit assessment models rely heavily on strong collateral and static financial data, which do not adequately reflect the dynamic and flexible nature of small and micro enterprises [6]. Group 3: Innovations in Credit Evaluation - Recent efforts by relevant departments and banks have focused on improving credit assessment for small and micro enterprises by increasing the dimensions of evaluation, addressing the information asymmetry between banks and enterprises [8]. - The use of big data, machine learning, and artificial intelligence has enabled financial institutions to create more comprehensive and accurate credit profiles for small and micro enterprises, enhancing the efficiency of the credit approval process [8]. Group 4: Successful Initiatives - The "Silver Tax Interaction" initiative allows small and micro enterprises with good tax credit ratings to convert their tax credit into financing credit, improving their access to loans and reducing banks' risk management costs [10]. - The "Credit Easy Loan" platform integrates various credit information sources, facilitating easier access for financial institutions to obtain multi-dimensional credit data, thus supporting the development of pure credit and rapid approval financing products [10]. Group 5: Future Outlook - The deep application of digital credit technologies is reshaping the financing ecosystem for small and micro enterprises, leading to improved approval efficiency and reduced risk management costs for financial institutions [10]. - As technology advances and data value is fully realized, the credit profiles of small and micro enterprises will become clearer, injecting vitality into their innovative aspirations and laying a solid foundation for high-quality economic development in China [10].