为什么历史上经营式农业不发展：以无锡为案例

本文基于第一、二次对"无锡、保定农村调查"的资料,分析说明了无锡农村经营式农业的日渐式微,并从出租农地与雇工经营的收益方程、较高工商业发展水平导致的机会成本增加,以及家庭小农场的竞争三个方面分析了经营式农业不发展的原因.我们认为,主要是当地较高但又不足够高的工商业发展水平导致了经营式农业难以发展.较高的工商业发展水平意味着发展经营式农业的高运营成本和高机会成本.不足够高又使得非农产业的需求与人数众多的农业过剩劳动力不相匹配,从而造成了家庭小农场和经营式农场之间的激烈对抗.我们也认为,中国未来的农业农村现代化道路可能会依然呈现出复杂性和特殊性,家庭小农场扮演的角色可能仍然不容忽视.     

An empirical assessment of the operational performance through internal benchmarking: a case of a global logistics firm

This article solves an operational performance measurement problem of a global logistics firm through an internal benchmarking tool. The intended impact is to enable logistics firms to form a deeper understanding of their own internal processes and metrics. The methodology of this in-depth action research involves a sequential approach with a series of interviews, questionnaire-based surveys, operations data collated through observations and process mapping yielding real-world data. A series of statistical tests are conducted to analyse the collated data. Strategic priorities of the firm are integrated with the firm’s operational performance to ascertain the effective performance by considering both the tangible and intangible measures. The outcomes inform both practitioners and academics how the firm could improve its freight forwarding business’s profitability by ensuring that its operations meet the prioritised criteria. The ‘best practice’ derived from internal benchmarking forms an intermediate step towards external benchmarking. The outcomes facilitate investigating the current business strategy, the standard operating procedures and the scope of improving those.     

Interstitial Lung Diseases in the U.S. Mining Industry: Using MSHA Data to Examine Trends and the Prevention Effects of Compliance with Health Regulations, 1996–2015

Given the recent increase in dust‐induced lung disease among U.S. coal miners and the respiratory hazards encountered across the U.S. mining industry, it is important to enhance an understanding of lung disease trends and the organizational contexts that precede these events. In addition to exploring overall trends reported to the Mine Safety and Health Administration (MSHA), the current study uses MSHA's enforcement database to examine whether or not compliance with health regulations resulted in fewer mine‐level counts of these diseases over time. The findings suggest that interstitial lung diseases were more prevalent in coal mines compared to other mining commodities, in Appalachian coal mines compared to the rest of the United States, and in underground compared to surface coal mines. Mines that followed a relevant subset of MSHA's health regulations were less likely to report a lung disease over time. The findings are discussed from a lung disease prevention strategy perspective.     

The politics of the Digital Single Market: culture vs. competition vs. copyright

This paper examines the implications for European music culture of the European Union’s (EU) Digital Single Market strategy. It focuses on the regulatory framework being created for the management of copyright policy, and in particular the role played by collective management organisations (CMOs or collecting societies). One of the many new opportunities created by digitalisation has been the music streaming services. These depend on consumers being able to access music wherever they are, but such a system runs counter to the management of rights on a national basis and through collecting organisations which act as monopolies within their own territories. The result has been ‘geo-blocking’. The EU has attempted to resolve this problem in a variety of ways, most recently in a Directive designed to reform the CMOs. In this paper, we document these various efforts, showing them to be motivated by a deep-seated and persisting belief in the capacity of ‘competition’ to resolve problems that, we argue, actually lie elsewhere – in copyright policy itself. The result is that the EU’s intervention fails to address its core concern and threatens the diversity of European music culture by rewarding those who are already commercially successful.     

网络直播聚合犯罪的罪因、特征与治理措施

网络直播聚合犯罪愈演愈烈，主要集中于知识产权犯罪和色情犯罪领域，国内目前对该类犯罪的研究较少。网络直播聚合犯罪与社会结构方面的紧张、个人违法性意识方面的紧张存在关系，前者主要体现为：商品拜物教影响下的部分民众设定目标时日益以物质获得为参考系；阶层固化使得处于部分底层民众无法通过制度性手段实现目标。后者主要体现为网络直播聚合犯罪者实施犯罪，与其权衡犯罪成本与获利数额、心存侥幸有关。在对案例进行实证分析的前提下，归纳概括出此类犯罪的三个主要特征：犯罪主体呈现出低龄化、学历较低、无业状态较多的特点；分工的复杂性、网络的匿名性使得犯罪的隐蔽性较强；黑灰产业链业已形成并成熟。对此类犯罪的治理，应当坚持惩防并举，在惩罚方面应当注意网络直播聚合共同犯罪认定规则的变通适用，以及网络直播聚合犯罪立法扩张、司法限缩与严格执法之间的关系；在预防方面应当构建国家、社会两位一体的预防模式。     

应用型高校与企业共建产业学院的优势与困惑

产业学院是应用型高校为服务地方社会经济的发展而与企业深度合作形成的新型办学机构，由高校和企业共同投资，实行理事会领导、院长负责的管理体制，校企协同育人，重视实践教学，组织特征鲜明，办学优势突出。但是，产业学院在发展过程中面临诸多不足：独立法人地位尚未确立，进一步发展缺乏法律保障和依据；现代治理方式和结构尚未建立，具体工作受高校干扰较多，行政化色彩浓厚；运行成本大，缺乏市场化运行机制。为了促进产业学院发展，国家应确立其独立的法律地位，营造发展的政策环境和建立现代化的治理方式与结构；产业学院应建立市场化运行机制，激发面对市场的应变能力，最大限度地发挥自身优势，化解发展过程中的短板。     

核心企业主导下乳制品全产业链质量管控GERT网络模型

乳制品质量安全是关系消费者健康的重大问题，乳制品质量管控是一项涵盖多环节、多主体的复杂系统工程；而要把质量管控措施落到实处，乳制品产业链的核心企业是关键。针对我国乳制品产业质量管控现状，构建了基于质量价值流动的乳制品全产业链质量管控GERT网络模型，并对"产业链主体未加强质量管控"、"各主体独立加强质量管控"以及"核心企业主导下全产业链质量管控"三种情境进行对比分析。研究表明，核心企业主导下全产业链质量管控具有明显优势；强化乳制品行业质量管控，须从政府层面、企业层面以及消费者层面采取对策，尤其要突出核心企业在此过程中的主导地位。     

基于混合加权距离的毕达哥拉斯模糊TOPSIS多属性决策方法研究

针对决策信息为毕达哥拉斯模糊集的多属性决策问题，提出了一种基于混合加权测度的TOPSIS决策方法。在分析了现有距离测度方法不足的基础上，首先给出了一种新的毕达哥拉斯模糊距离测度——毕达哥拉斯模糊有序加权距离（PFOWD），并研究了该测度权重的确定方法；在PFOWD基础上，进一步提出了毕达哥拉斯模糊混合加权距离（PFHWD），同时探讨了其特征和与现有毕达哥拉斯模糊测度的关系；最后提出了一种基于PFHWD测度的毕达哥拉斯模糊TOPSIS多属性方法，并用实例验证了方法的有效性和可行性。     

Corporate collective action and the market cycle of the cloth industry in Nieuwkerke,Flanders, 1300–1600

This article addresses the connections between corporate collective action and economic development in the pre-industrial Low Countries. It focuses on a micro-historic case study: the textile industry of the village of Nieuwkerke in the county of Flanders. This rural cloth centre witnessed an exceptional industrial expansion between the fourteenth and sixteenth centuries. Following the recent proposition by Bas van Bavel that market economies follow a fixed pattern of development, the chronology of the evolution of Nieuwkerke’s cloth industry can be discussed in terms of three phases. This article argues that the first phase of development (1358–c.1500) was characterized by limited success because of pressure from the city of Ypres. The second phase (c.1500–c.1550) was marked by an industrial boom, predicated upon successful corporate collective action intertwined with the perception of social equality among the village’s cloth entrepreneurs. The third and final phase (from c.1550) was one of stagnation and decline, caused by the breaking down of the collective and concomitant social polarization. The case study thereby closely conforms to van Bavel’s theory about market cycles. Yet, the correlation between economic decline and social polarization should in this case be understood in terms of changing perceptions of inequality, rather than increasingly unequal opportunities.     

Delay causes analysis in complex construction projects: a Semantic Network Analysis approach

Delays are among the most crucial adversaries to the success and performance of construction projects, making delay analysis and management a critical task for project managers. This task will be highly complicated in large-scale projects such as construction, which usually consist of a complex network of heterogeneous entities in continuous interaction. Traditional approaches and methods for the analysis of delays and their causes have been criticised for their ability to handle complex projects, and for considering the interrelationships between delay causes. Addressing this gap, this research introduces an alternative approach for delay causes analysis by adopting Semantic Network Analysis (SNA) method. The paper reports the results from an investigation of delays in construction projects in the Oil-Gas-Petrochemical sector using SNA. The method’s capacity to identify and rank delay causes, which can assist managers in selecting appropriate measures for eliminating them, are empirically examined and discussed. The paper argues that SNA leads to a more comprehensive understanding of the main causes of delay in large and complex projects, allowing a better identification and mapping of the interrelationships between these discrete factors.