从利益共同体到命运共同体:地方政府隐性债务的合作治理

在地方政府性债务的治理中,隐性债务因其增长迅速、规模不清和风险不确定,成为未来债务治理的重点和难点。隐性债务挟裹主体众多,关联利益甚广,因此,基于共同体视角,明确治理主体,有利于化解风险。在隐性债务生产阶段,因利而合的共同体大肆攫取利益导致隐性债务激增;在债务风险凸显阶段,利益共同体的本能选择不是"安危与共",而是"大难临头各自保"。但债务风险的"飞去来器效应"和群体性焦虑,将促使利益共同体走向命运共同体。命运共同体既是利益共同体,更是治理共同体。在隐性债务治理阶段,共同体应形成"共生"意识、采取"共治"行动、构筑"共担"保障,实现有效共治。     

基于AHP-TOPSIS模型的京津冀家政服务人力资源供给质量评价研究

依托已有的研究成果构建了家政服务人力资源供给质量评价指标体系,利用AHP-TOPSIS模型对京津冀家政服务人力资源供给质量进行了评价和排名,并使用障碍度模型分析了员工制、准员工制、培训学校、中介制四种类型家政机构人力资源供给质量的关键制约因素,在此基础上,给出了不同类型家政机构人力资源供给质量改善的针对性建议,为家政服务人力资源供给质量的改善提供参考依据。     

释放正定片区红利,助推河北医药行业新发展

医药产业作为河北省重点发展的支柱产业之一,近年来发展形势不容乐观,正位于产业发展拐点之上。正定片区的建立释放了大量的红利,对于河北省医药产业的转型升级具有重要意义。本文在客观分析河北省医药行业发展现状的基础上提出了其存在的问题,并结合正定片区在医药方面的优势做出了有针对性的对策建议,助推河北省医药行业新发展。     

The influence of anthropomorphic appearance of artificial intelligence products on consumer behavior and brand evaluation under different product types

While artificial intelligence products are widely used in the market, their anthropomorphic appearance design is becoming a frontier issue in product strategy and consumer behavior research. The aim of this study was to investigate the influence of anthropomorphic appearance on consumer behavior and brand evaluation under different AI product types. It was conducted in China, a new but rapidly-growing country in the field of Internet, AI technology and AI product consumption. This study conducted four situational experiments with a 2 (anthropomorphic design: anthropomorphic vs. non-anthropomorphic) × 2 (product type: hedonic vs. utilitarian) between subjects’ experimental design. Data was collected from 1172 Chinese “Digital Natives” by using a structured questionnaire. The findings revealed that for hedonic AI products, anthropomorphic appearance improves consumers' purchase intention and brand evaluation through perceived entertainment, and intelligence level significantly moderates the mediating effect of perceived entertainment; while for practical AI products, anthropomorphic appearance improves consumers' purchase intention and brand evaluation through perceived usefulness, and intelligence level does not significantly moderate the mediating effect of perceived usefulness. There is no significant moderating effect of intelligence level on perceived usefulness. The study contributes to development and validation of a more comprehensive understanding and theoretical foundation of anthropomorphism, and furthermore explores the impact of anthropomorphic appearance on consumer behavior and brand evaluation under different AI product types. This study also provides insights for companies to apply anthropomorphic strategies.     

Risk assessment for public–private partnership projects: using a fuzzy analytic hierarchical process method and expert opinion in China

Public–private partnerships (PPP) have been widely used in China to procure public facilities and services. Complicated problems in PPP projects in China arise because of a variety of risk factors. A proper risk assessment model is needed to identify risks and provide risk response strategies for future Chinese PPP projects. The fuzzy analytic hierarchy process (F-AHP) method provides the ability to solve complex risk assessment of PPP projects. Current risk assessment models are limited to PPP projects in specific countries and do not consider unique risks in China, especially political, economic, social, and legal risks. This paper designed a risk evaluation index system for PPP projects based on the Delphi expert investigation method, and then established an optimized risk evaluation model for PPP projects in China using the F-AHP method. The risks identified are confirmed by interviewing experts from Chinese local government departments, private enterprise, third-party intermediary consulting and regulatory agencies, and academic organizations. The results show that the risks that ranked among the top ten are closely related to China’s political and economic policies and relationships among stakeholders. It can be concluded that government authorities play a critical role in providing a favorable political, social, and economic environment and an effective institutional framework for PPP projects. Furthermore, it is also important to deal with relationships among stakeholders based on the public–private ‘win–win’ principle. This study provides risk response strategies, addressing key issues from eight aspects: an impeccable legal and regulatory framework; a central coordinating and regulating PPP authority; supportive governmental authorities; institutional capacity-building; favorable economic conditions and viability; community, partner, and moral accountability; clear division of responsibilities through contracts; and effective advisory management. These effective measures may be useful in reducing the adverse effects of risk for PPP projects in China.     

基于双重约束的区域耕地整理适宜性评价研究

[目的]科学合理的适宜性评价是确保耕地整理能够有效开展的前提条件,同时对于我国的耕地保护与粮食安全保障也具有极为重要的意义。[方法]该研究首先选取可以反映区域耕地整理适宜性的指标因子,然后参考胡学东提出的约束条件评价模型,引入区域生态安全和社会经济双重约束,对研究区域在双重约束下的耕地整理适宜性进行评价,并通过K-Means聚类法将研究区域的耕地整理适宜性分区进行合理划分。[结果]生态安全约束和社会经济约束对区域耕地整理适宜性水平具有重大影响,高生态安全约束与高社会经济约束会降低耕地整理的适宜性,低生态安全约束与低社会经济约束会提高耕地整理的适宜性。[结论]引入生态安全约束和社会经济约束后,可以在一定程度上反映山地区域在社会经济与生态安全双重约束状态下的耕地整理适宜性情况,耕地整理适宜性评价结果更加符合当地实际情况,约束条件评价模型可以更加合理准确地对处于约束条件下的耕地整理适宜性进行评价,是对耕地整理适宜性评价方法的丰富与完善。     

一种基于位同步的复杂调制样式识别方法

针对卫星数字化视频广播第二代标准（Digital Video Broadcasting-Satellite -Second Generation，DVB-S2）中的多进制幅度移相键控（Multiple Amplitude and Phase-Shift Keying，MAPSK）和多进制正交幅度调制（Multiple Quadrature Amplitude Modulation，MQAM）信号的调制识别，提出了基于位同步的识别方法。首先利用信号星座图特征对信号包络进行位同步，然后统计信号码元的幅度值个数及其幅度值分布提取统计特征参数，最后利用特征参数完成识别。仿真结果表明，所提算法在载波频率等参数未知的条件下，能够有效对信号进行调制识别。     

高校辅导员和大学生互建信任关系的重要性与实现途径

辅导员是高校学生管理工作中必不可少的中坚力量。辅导员与学生的关系是高校中最为突出和直接的人际关系,二者建立互相信任的关系尤为重要。论文分析了高校辅导员与大学生相互缺乏信任的表象,阐述其危害,进一步明确了互建信任关系的重要性,并从四个方面讲述了建立信任关系的实现途径。     

规范行政事业单位国有资产管理工作

行政事业是国家部门,其国有资产在社会发展中具有重要的作用,特别是能够为社会提供能够提高生活保障的公共服务。因此,行政事业单位的国有资产具有公共性和公益性等特点。鉴于这些因素,行政事业单位的国有资产必须创新管理工作方法。     

A conceptual model to imply a negative innovation assessment framework on consumer behaviors through the electronic business platforms

Online retail platforms significantly impact consumers' purchasing decisions. Satisfaction, purchase intent, and repeat online shopping drive the platform's purchasing decisions. In contrast, individuals do not purchase products due to dissatisfaction and lack of purchasing intent. It will cause hesitation and spread negative feedback to influence online consumer behaviors. This research proposes a conceptual model incorporating the Status Quo Bias (SQB) and the Negative Online Purchase Decision-Making Process (NOPDMP) to suggest a new framework for evaluating the maintained consumer behavior of online shopping platforms. The questionnaires following the proposed conceptual model were collected from the sample data from participants of 384 experienced respondents using online shopping platforms. Data were analyzed for the causal relationship using Structural Equation Model. The implications of the assessment framework that incorporates the influence of negative factors can weigh the decision to purchase products and improve and reduce shopping cart abandonment on e-commerce platforms. This framework can also describe instances of negative perspectives regarding incentive alignments with actual behaviors.