Agricultural holdings with undefined boundaries,communal systems and counter‐hegemonies: The persistence of the peasantry in Argentina

The presence of agricultural holdings with undefined boundaries (AHUBs) and their heterogeneous geographical distribution questions the supposed hegemony of agribusiness in Argentina. Given the lack of defined boundaries, these holdings generate a communal culture among dwellers, which is reflected in both the strategies of the use of commons and the initiatives for the defence of land in the conflicts between peasants and entrepreneurs. This article describes two counter‐enclosure experiences that were generated and have developed on the bedrock of AHUBs and a communal matrix. Those defence strategies are employed by families that possess the land but have not title to it, being a defence tactic against attempts of eviction. AHUB not only is a new census category that allows us to enhance our knowledge of the rural world but also proposes modes of production that differ from those of the capitalist model, showing possible counter‐hegemonic development alternatives that arise from the practices used in these holdings.     

标识解析与区块链技术在供应链管理上的集成应用

供应链成员彼此间的信息可信共享是实现供应链"四流合一"发展模式的技术基础.通过对传统供应链管理存在的诸多痛点进行分析,将工业互联网标识解析体系和区块链技术进行集成应用到供应链管理领域,形成一种新型的供应链管理解决方案.方案采用标识解析体系将供应链各信息流的异构数据统一映射到资源池,依托区块链技术去中心化及数据不可篡改等特点,将资源池标识数据进行分配及管理,保证供应链标识数据的安全存储与解析,构建互信共赢的供应链生态体系,实现产业链上下游企业协同.     

严监管背景下农信社合规风险管理体系建设

2018年,银行业监管环境进一步趋严,不但强调对银行的监管,更提出了对监管人员职责的监管,这种严格的外部监管环境对农信社的合规风险管理带来了极大的挑战。农信社合规风险管理体系的建设和完善已势不容缓。论文提出了农信社合规风险管理体系建设要从战略定位、文化渗透、防线搭建、专业专职化、考核和追究六个维度入手,推进合规风险管理长效机制的建设。     

国有林场贫困测定与差异性研究

基于2008—2017年国家林业局对中国28个省(市、区)国有林场的调研数据,运用等价性检验的方法从地理位置、经济状况、可持续经营和发展能力层面上对国有林场的贫困测度和差异性进行实证分析。研究结果表明:国有贫困林场不一定位于贫困县,并且与国有非贫困林场之间的差异逐渐缩小;国有贫困林场区域异质性强,经济发展水平较低;国有贫困林场在森林资源基础、人力资源基础、基础设施和生产条件等方面的可持续发展能力较差。因此,提出了相关林业部门应该鼓励国有贫困林场发展特色林产品;加大扶贫资金投入;改善职工生计条件;加强资金管理意识等政策建议。     

基于乡村振兴战略的湖南省乡村治理体系研究

［目的］乡村治理有效作为实施乡村振兴战略的五大战略总要求之一和重要组成部分，对其进行分析有利于完善农村现代化建设以及促进乡村振兴战略的实施。［方法］文章以湖南省为例，采用问卷调查法和Logistic回归模型法对乡村治理体系进行分析，探讨影响区域乡村治理体系的主要因素。［结果］被调查农户的年龄主要集中在30~60岁，年收入主要集中在1万元以上。进而结合Logistic回归模型可知：社区生活组织、村规民约、农村养老服务设施、留守儿童之家、集中性治丧场所以及村务公开等6个变量对乡村治理体系的开展实施正向显著影响，而年龄对乡村治理体系的开展负向影响。［结论］基于乡村振兴战略发展乡村治理体系主要在于创新乡村治理体系，通过分析影响湖南省乡村治理体系的因素，为乡村有效治理提供参考意见，同时充分发挥乡村治理功能实现乡村振兴战略的全面实施。     

Engines of Growth in China: The Limits of Informal Institutions

Abstract:

Since the 1978 reforms, China has experienced rapid economic and social development. GDP growth has been in the double digits on average yearly, creating the fastest sustained economic growth recorded by a major economy in history. Not only did this transform the economy and society at large, China reached important milestones in terms of reducing poverty and creating prosperity in a short period of time. This article uses the conceptual framework of new institutional economics to examine China’s economic growth and how growth has been achieved largely by ‘informal institutions’ that are grounded in culture, customs, and private interactions that emerge spontaneously. The trajectory by which these informal institutions left their imprint on China’s complex economic landscape and how they can constrain future economic growth are also of central importance. After examining decentralization and risk management practices, property rights, and the legal system, we emphasize the importance of creating formal institutions necessary for long-term growth, most importantly innovation. Preliminary evidence shows total factor productivity is tapering off which may reflect the constraints of China’s institutional environment. This ought to be reversed if China is to enjoy long-term sustained growth.     

GIS-based fuzzy multi-criteria approach for optimal site selection of fire stations in Istanbul,Turkey

Fire stations play a central role in protection and response activities as part of emergency management services in cases of fire incidences. With the rising urban populations and city expansions, the demand for more fire services resultantly increases. It then becomes critical to effectively plan the location of emergency facilities to adequately service the population and ensure the protection of lives and infrastructure. This study, therefore proposes the use of the fuzzy extension of the Multi-Criteria Decision-Making (MCDM) method of Analytical Hierarchical Process (AHP), hence called fuzzy AHP, integrated with Geographic Information Systems (GIS) approach to optimally site new fire stations for the case of Istanbul region. This proposed fuzzy approach simulates the subjective expert judgements for the preferences of the six criteria assessed for fire station suitability mapping and thereby accounted for the uncertainty of crisp comparison values via triangular fuzzy numbers (TFNs). The criteria weights evaluated from this procedure were used in a weighted overlay analysis of the reclassified criteria map layers in ArcGIS to generate a fire station suitability map. These resultant fuzzy AHP criteria weights were validated using another MCDM technique, called Best-Worst Method (BWM) and found to be comparable and consistent. The criteria that had the strongest influence on the selection of sites for fire stations were identified to be: the density of hazardous material facilities (DHM), a high population density (HPD) and proximity to main roads (PMR) with associated weights of 33.3%, 24.4% and 15.2%, respectively. Based on a thorough assessment within the areas represented by class values ranging from 3 to 5 on the suitability map, a total of 34 new fire station sites were selected complementing the existing 121 fire stations. Further, a prioritization analysis from low, medium to high, was performed to plan the phases for the construction of new fire stations in view of competing budgetary needs and resource constraints. The methodology to achieve this was proposed and modelled for enhancing the decision-making process in urban fire station site selection studies.     

Dynamic efficiency evaluation of Italian judicial system using DEA based Malmquist productivity indexes

The aim of this study is the empirical analysis of the Italian judicial system, measuring its efficiency and productivity. For this purpose, in details, the Data Envelopment Analysis (DEA) and Malmquist indexes were used, since they are recognized by the current literature as successful techniques to evaluate the performance of decision making units, namely the courts of law in our field of application.The statistical data on the administration of justice in Italy, as reported in Dossier n. 11 May 2013, Senate Research Services, Research Office on Institutional Issues, Justice and Culture, XVII legislature, shows that the efficiency crisis of justice in Italy began in the 1970s of the last century, aggravating during the ‘80s, and reaching its most critical moment during the 1990s. Several studies emphasize the relevance of the effects of inefficiency upon the judicial system on the credit and financial markets.The present analysis, using data that covers a wide time span and is disaggregated at district level, has set the goal of measuring the efficiency of the individual Italian judicial offices while assessing the progress of productivity in its components, by the means of technological progress and scale efficiency. The efficiency analysis that was carried out transcends the aspect of judicial taxation, considering how the passage of time has impacted on judicial efficiency.Considering the judges and judicial administration employed, in the new, pending and finished cases during the years ranging from 2011 to 2016, the results highlighted a distinct heterogeneity among courts, depending on their geographical location. The five-year period that was considered, included the years in which the judicial geographical distribution reform entered into force, so to better comprehend how this complex reform influenced the recovery of efficiency of the judicial offices. Furthermore, by breaking down the index into change in efficiency and change in technology, this work offers a further glimpse into judiciary organization. The application of combined DEA method and Malmquist indexes for evaluating court efficiency in a large time frame showed very interesting and useful results, relevant for judicial administration.     

关键核心技术攻关新型举国体制研究

面对新一轮科技革命,传统创新组织和模式已难以适应新形势的要求,美国科技界认为会聚创新模式将成为推动科技发展的重大战略举措。本文深入分析会聚创新兴起的内在机理,以人工智能领域为切入点,广泛借鉴国际创新组织不同模式经验,提出构建社会主义市场经济条件下关键核心技术攻关新型举国体制的若干建议。     

The Impact of Political Instability on Inflation Volatility in Africa

This paper investigates whether political instability leads to volatile inflation using a panel of 49 African countries. The study uses novel measures of political instability, particularly the state failure index and state fragility index. In the field of political instability and inflation volatility, this is the first study to measure inflation volatility as the conditional variance of inflation estimated from GARCH (1, 1) model. Adopting the system‐generalized method of moments estimator for linear dynamic panel models for the sample period 1985‐2009, the study documents a positive statistically significant effect of political instability on inflation volatility.