公共性视角下政府购买社会服务的困境及优化

对政府购买不仅要做“规范性导向”的研究,还需进行“价值性导向”的分析.由于购买主体的特殊性、资金的财政性、服务对象的特殊性及监管评估的全民性,决定了公共性是政府购买服务的内在属性与客观要求.当前政府购买服务在各地实践中有诸多探索,发展出不同模式,如购买岗位制、购买项目制等,但普遍呈现公共性不足的特征.因而需要通过发展多种购买主体、发展公共服务组织与机构、设立公众需求表达机制、评估上加强公众参与等策略而优化并提升购买服务中的公共性.     

列宁关于报刊发展的路径探析及其当代启示——基于《党的组织和党的出版物》

在《党的组织和党的出版物》一文中,列宁从基本自由、经济保障、价值取向和党性原则的角度对俄国报刊的发展路径进行了具体、系统的理论阐释,他认为要实现报刊发展就必须彻底摆脱警察压迫、摆脱资本、摆脱名位主义以及摆脱资产阶级无政府主义的个人主义。当下,回顾与反思列宁有关报刊发展的路径探析,可以得到3点启示:首先,要坚持正确的政治方向,为中国特色社会主义报刊事业提供根本保障;其次,要遵循“以人为本”,优化中国特色社会主义报刊事业的队伍建设;再次,要恪守党性原则,增强党对中国特色社会主义报刊事业的领导能力。     

减排约束下中国天然气供需安全评价:2006-2014年

为准确把握中国天然气供需安全状态,以2006-2014年的数据为样本,在模糊隶属度函数量化指标值的基础上,运用层次分析法(AHP)和熵值法确定指标权重,基于线性加权和函数计算均方根进行综合评价。结果表明:(1)中国天然气供需安全指数呈现"N形"波动,2006-2007年天然气供需安全指数上升。2007-2013年天然气供需安全指数年均下降1.7979。2013年以来天然气供需安全指数开始回升,天然气供需安全压力有所缓解。(2)天然气供应安全指数从2006年的17.5914下降到2013年的0.1556,峰谷差17.4359。天然气需求安全指数呈现"W形"波动。天然气市场安全指数相对稳定,2013年以来略有上升,天然气市场风险逐年下降。(3)天然气供需安全很大程度上取决于天然气供应是否安全。因此,建议从确保天然气稳定供应、提高天然气使用效率和降低市场风险方面采取措施,维护天然气供需安全。     

老龄化背景下社会养老服务体系需求研究 ——以滁州市为例

已有的以“居家为基础、社区为依托、机构为支撑”的社会养老服务体系实际运行中未达到预期效果,存在目标人群模糊, 核心功能不清等问题。通过滁州市居民养老服务需求的调查,构建需求=意愿×能力的模式,研究老人养老服务意愿,支付养 老服务的能力,提出以照护为核心,在居家养老基础上对空巢、独居老人加强社区综合平台的作用,突出高龄、失能、半失能老 人机构养老的支撑作用,引进社会力量,以满足老年人群多样化多层次需求     

审计师声誉作用机制研究--从审计需求的视角出发

审计师声誉是社会公众和利益相关者对于审计师的整体认知与评价,是审计服务质量的重要度量指标。从审计需求的两个基本理论--审计需求的代理理论和信息理论出发,分析审计师声誉的影响机理和作用路径。发现,审计需求会导致市场对审计师声誉的关注,高声誉的审计师可以限制机会主义行为,降低财务报告舞弊风险。进一步的分析表明：事务所的做大做强策略可以提升审计师声誉,而审计师声誉的提升不仅对完善审计市场的良好运行有决定性作用,还对整个资本市场的发展有显著的影响。     

农地抵押融资意愿与最优土地规模

运用2014年陕西、宁夏两省2493户农户的调研数据,采用Probit模型,以农地规模对农户参与农地抵押融资意愿的影响分析为基础,实证分析农户参与农地抵押融资意愿最大化条件下的最优土地规模。研究发现：农地规模对农户参与农地抵押融资意愿呈倒U型影响,高陵、平罗地区农户参与农地抵押融资的最优土地规模分别为12.67亩、56.50亩,分别是当地户均农地规模的2.68倍、3.00倍,农业主导产业差异导致最优土地规模有所不同。总体看来,样本农户的家庭规模、经营类型、往返金融机构的便利程度、金融机构数量对农户参与农地抵押融资意愿有较显著的影响,而分区域来看,各控制变量的影响效应存在较大区别。     

中国农村民间借贷市场融资约束环境下利率定价模型分析——以广东农村实地调查数据为例

通过对广东农户民间借贷行为实地调查的问卷进行数据分析,了解农村民间借贷中的资金供求关系,发现存在的融资约束问题,进而对融资约束环境下民间借贷资金利率定价过程进行实证分析;着重考察农村民间借贷利率受公共信息和私人信息影响的程度,从借款人和贷款人的角度分别建立定价模型进行经验分析。结果显示,定价模型在F检验1%水平上显著,其他模型具有R2的统计显著性;反映借款用途的变量在10%水平上显著,其他变量均在5%水平上显著。这说明该市场利率能够反映公共信息的影响,借款人和贷款人的利率定价也反映了各自私人信息中相关风险和财务能力因素的影响,得到的经验结论主要是:第一,农村民间借贷市场是自主交易的金融市场;第二,其利率定价过程基本市场化。     

我国农村信贷市场重建的合作制基础

随着新农村建设的深入开展,农村金融发展尤其是农村金融市场建设成为人们关注的焦点。我国农村有普遍的存款服务和汇兑服务,但缺乏有效率和规模的信贷供给。如何重建农村信贷市场成为制约农村金融市场建设的关键因素。通过对农户信贷需求的满足问题的探讨,可以发现,在目前城乡二元经济结构下,小农经济与市场化的矛盾成为制约农户借贷供求的根源。突破这一制约的有效途径是发展合作经济和建立"农民所有"的合作金融。     

An oracle-based algorithm for robust planning of production routing problems in closed-loop supply chains of beverage glass bottles

The demand for glass bottles is exhibiting an upward trend over time. The manufacturing of glass bottles is costlier in terms of time and resources and is associated with a higher level of heat generation and environmental pollution compared to recycling processes. In response to the aforementioned challenges, companies that use glass bottles need to implement strategies to manage their reverse supply chains in conjunction with their traditional supply chains, as the economic and environmental benefits of returned products are unquestionable. Closed-loop supply chains (CLSCs) integrate forward and reverse flows of products and information. This integration helps companies to have a broader view of the whole chain. Despite these advantages, managing CLSCs can be challenging as they are exposed to many uncertainties regarding supply and demand processes, travel times, and quantity/quality of returned products.In this study, we consider the production planning, inventory management, and vehicle routing decisions of a CLSC of beverage glass bottles. We propose an MILP model and rely on a multi-stage adjustable robust optimization (ARO) formulation to deal with the randomness in both the demand for filled bottles and the requests for pickups of empty bottles. We develop an exact oracle-based algorithm to solve the ARO problem and propose a heuristic search algorithm to reduce the solution time. Our numerical experiments not only show the incompetency of the customary method, namely the affine decision rule approach, but also illustrate how our algorithms can solve the small-size problems and significantly improve the quality of the obtained solution for large problems. Furthermore, our numerical results show that robust plans tend to be sparse, meaning the routes are chosen so that empty bottles are transported to production sites in such a way that fewer new bottles need to be ordered. Thus, robust planning makes the CLSCs more environmentally friendly.     

The Role of Behavioral Responses in the Total Economic Consequences of Terrorist Attacks on U.S. Air Travel Targets

U.S. airports and airliners are prime terrorist targets. Not only do the facilities and equipment represent high‐value assets, but the fear and dread that is spread by such attacks can have tremendous effects on the U.S. economy. This article presents the methodology, data, and estimates of the macroeconomic impacts stemming from behavioral responses to a simulated terrorist attack on a U.S. airport and on a domestic airliner. The analysis is based on risk‐perception surveys of these two scenarios. The responses relate to reduced demand for airline travel, shifts to other modes, spending on nontravel items, and savings of potential travel expenditures by U.S. resident passengers considering flying domestic routes. We translate these responses to individual spending categories and feed these direct impact results into a computable general equilibrium (CGE) model of the U.S. economy to ascertain the indirect and total impacts on both the airline industry and the economy as a whole. Overall, the estimated impacts on GDP of both types of attacks exceed $10B. We find that the behavioral economic impacts are almost an order of magnitude higher than the ordinary business interruption impacts for the airliner attack and nearly two orders of magnitude higher for the airport attack. The results are robust to sensitivity tests on the travel behavior of U.S. residents in response to terrorism.