【深圳商报讯】（首席记者彭琰）按照市委今年批准的民主监督的计划，市政协近日召开规范涉企执法 专项民主监督调研座谈会，为进一步优化深圳营商环境建言献策。 （文章来源：深圳商报） 据悉，今年5月，市政协社会法制和民族宗教委组建民主监督小组，围绕涉企执法工作赴市场监管局开 展了调研监督，同时广泛发动各界别委员深入基层调研，通过提交社情民意、填写调查问卷等方式收集 问题建议。 参加本次座谈会的有国家税务总局深圳市税务局、市应急管理局、市人力资源和社会保障局、市生态环 境局、市市场监管局、市消防救援局等6部门。与会人员介绍了涉企执法的工作情况，并就问卷调查的 反馈结果进行回应。 参加会议的政协委员们认为，执法检查是法治政府建设中的重要一环，政府部门在建立协同机制、依靠 科技人工智能等技术开展智慧监督等方面取得了积极成效，要加大宣传力度，形成更多社会共识，要深 入推进规范执法，不断提升企业"获得感"，推动法治化营商环境取得新成效。 ...

Core Insights - The article highlights the successful resolution of property registration issues in the Fengxiang District of Handan City, Hebei Province, through coordinated efforts by various government departments [1][2] Group 1: Problem Identification and Resolution - The Fengxiang District's Discipline Inspection and Supervision Commission identified property registration difficulties faced by residents due to inadequate facility inspections after the completion of residential buildings in 2014 [1] - A working group was formed, involving departments such as urban planning, construction, and fire safety, to address the longstanding issues affecting residents [1] Group 2: Implementation of Solutions - The district established a "parallel approval + deficiency handling" mechanism, integrating approval processes into a "one-window acceptance" system to streamline property registration [2] - Ten working groups were created to tackle registration issues in ten different residential communities, employing methods like home visits and on-site discussions to develop tailored solutions [2] - As a result of these initiatives, 1,362 properties achieved initial registration, and 850 homeowners received their property certificates [2]

Group 1 - The core viewpoint of the articles emphasizes the use of big data to enhance supervision and prevent corruption related to public vehicle usage in Yinchuan, Ningxia [1][2] - The Yinchuan Discipline Inspection and Supervision Commission has developed a big data supervision system called "Wisdom Eye" to monitor fuel card usage and identify potential violations such as private use of public vehicles [1] - The system utilizes various warning models based on fuel consumption patterns, such as "holiday consecutive refueling counts," to detect irregularities in public vehicle usage [1] Group 2 - The public vehicle management department in Yinchuan has implemented a digital reform through an intelligent control system that monitors vehicle operations in real-time, ensuring comprehensive management of public vehicle applications, dispatching, and settlements [2] - All non-emergency vehicle requests must be pre-approved and documented, with strict monitoring of driving routes to prevent unauthorized use of public vehicles [2] - The city has established a cashless settlement process for fuel, maintenance, and other services, along with an electronic file system for each vehicle to track maintenance records, mileage, and fuel consumption [2] Group 3 - Employees in Yinchuan have reported a significant change in work culture, with increased adherence to regulations and a shift towards using public transportation for official duties, reducing personal use of public vehicles [3]

Group 1 - The article emphasizes the importance of strengthening grassroots supervision and optimizing the structure and staffing of grassroots disciplinary inspection and supervision institutions [1][2] - The article highlights the integration and enhancement of specialized supervision capabilities, with 24 professionals in law, finance, auditing, and engineering added to strengthen frontline supervision [1][2] - The article outlines a mechanism for tracking and evaluating supervision efforts, with 217 public complaints addressed and 25 cases initiated in 2024 [2][3] Group 2 - The article discusses the use of digital tools to enhance supervision, including a grassroots micro-power supervision platform that allows real-time public oversight of financial management and project construction [3] - The article mentions the establishment of a smart regulatory platform for rural revitalization, integrating online supervision of project bidding and fund management, resulting in 193 warning messages generated [3] - The article notes the development of a multi-layered inspection mechanism that has led to the identification of 40 problem clues and the initiation of 22 cases [3]

Group 1 - The article highlights the discovery of collusion among three companies in bidding for village-level engineering projects, leading to investigations into four party members [1] - The Shashi District Discipline Inspection Commission has implemented a comprehensive data-driven supervision process to identify and address irregularities in the bidding process [1] - A total of 6,125 data entries were analyzed to identify key elements and pinpoint abnormal data, revealing hidden violations in the bidding sector [1] Group 2 - The district's commission has urged relevant departments to learn from typical cases and address gaps in the bidding process, leading to the development of new management guidelines [2] - Specific measures have been proposed to enhance supervision of bidding processes across various sectors, identifying 36 integrity risk points and 11 regulatory measures [2]