沈阳城市周边耕地多功能评价

[目的]为探索城市化影响下城市周边耕地多功能的现状,分析其空间差异,为耕地保护及城市周边耕地发展提供参考。[方法]从耕地的生产、生态、社会和景观4个功能出发构建评价指标体系,利用熵权法确定指标权重,加权求和法计算单一功能和多功能值,并用ArcGIS进行空间分析,对沈阳城市周边50个乡镇(街道)的耕地多功能性进行综合评价。[结果](1)沈阳城市周边耕地的多功能性空间差异较为明显。生产功能远郊平原区最强,远郊山区和近郊区较弱;生态功能总体偏弱,个别乡镇较好;距离城市越远,社会功能越强;景观功能近郊区较强,远郊区较弱。(2)耕地的生态、社会和景观功能主要受距市中心距离的影响,生产功能受地形和距市中心距离的双重影响,而多功能则受地形、距市中心距离及各乡镇(街道)耕地主导功能等的综合影响。(3)沈阳城市周边的大多数耕地以农业生产为主导,景观文化功能整体相对较弱。近郊区耕地生态功能所占比重较大,但社会功能比重较小,远郊区则与之相反。[结论]沈阳城市周边耕地多功能性空间差异较为明显且不均衡,应科学规划城市周边耕地功能,优化空间布局,协调耕地各功能的关系,促进耕地多功能综合发展。     

Putting Austerity to Bed: Technical Progress,Aggregate Demand and the Supermultiplier

ABSTRACT

The paper investigates the determinants of private investment and economic growth from a theoretical perspective. We start with a critical analysis of the crowding-out effect and we present a new version of the Sraffian Supermultiplier: a model that accounts for both the multiplier and accelerator effects. We focus on different types of fiscal policies: generic ones and ‘mission-oriented’ ones that set a new direction for the economy. We show that mission-oriented policies have the potential to generate the largest positive effect on investments and output growth as well as on innovation processes and labour productivity growth.     

时空大数据支持的土地储备智能决策体系与应用研究

研究目的:设计土地储备智能决策体系,将土地储备决策环节进行科学化、定量化和模型化,为政府合理开展土地储备提供决策依据。研究方法:遵循科学性、实用性、先进性、开放性原则,以数据为驱动,人工智能为核心,通过基于Hadoop/Spark的大数据处理技术、多源异构数据融合技术、智能决策模型集对多源时空大数据挖掘分析。研究结果:提出了土地储备智能决策体系,研究了一套面向土地储备的决策方法集,实现对现状条件的精准刻画,对土地储备规模、结构、时序等内容的科学决策;在此基础上,研发了智能决策支持平台,将数据资源共享、现状条件评估、智能决策专题等功能集成,构建土地储备智能决策"一张图",并实现平台的自我学习和更新。研究结论:应用于宁波市实例验证,该体系有效地促进了土地储备科学智慧决策,对优化土地资源配置具有参考意义。     

Do special issues offer something special? An overview of research trends in Telecommunications Policy special issues

This study explores the value of special issues by analyzing the characteristics of special issues of Telecommunications Policy (TP). Specifically, this study examines the status of special issue publications, the characteristics of their articles compared with those of general issues, and the factors affecting article citations. For the analysis, all information on TP articles published from 1976 to 2018 was collected from the Scopus database. A comparative analysis as well as a negative binomial regression were conducted on papers published after 1994, when the first special issue was published. The results show that special issues are distinguished from general issues by various characteristics, such as multinational author collaboration, number of references, keywords, and funding. While general issue papers are more frequently cited in academia, special issue papers show better performance in terms of online captures and social media sharing. Moreover, the smaller number of variables affects the frequency of citations in the case of special issues, revealing that content and format are more influential than author factors.     

Market reactions to ECB policy innovations: A cross-country analysis

Regulators have been paying increasing attention to governing and steering market fluctuations, with their role in shaping the economic cycle being ever more crucial. The combined effect of the financial and sovereign debt crises, as well as the approach to the zero lower bound, has made actions even more pressing, forcing the European Central Bank to resort to unconventional instruments to revive the economies and counter deflationary pressures. By using a combined event study and panel regression methodology, we investigate whether European Monetary Union equity markets react heterogeneously to standard and non-standard European Central Bank policy innovations. Our results show that conventional policies unevenly affect financial indices in the Eurozone and, hence, are bound to generate asymmetries that reflect on real economies, while unconventional measures, albeit with different intensities, exercise a homogeneous pressure on all markets. Our evidence highlights the beneficial impact of unconventional measures and suggests that they can play a useful role even in non-crisis times.     

Competing for Good Immigrants

I analyze the competition among different countries for ‘desirable’ and ‘undesirable’ potential immigrants, using both an immigration quota and a level of (imperfect) ‘scrutiny’ that would‐be immigrants face. Scrutiny imposes costs on immigrants and therefore makes it less attractive to immigrate. The number of applying undesirable immigrants increases in immigration quota and decreases in the level of scrutiny. In contrast, the number of desirable applicants can go in either direction as scrutiny increases and is independent of the immigration quota, because an increase in the immigration quota is completely crowded out by more applications by undesirable immigrants.     

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。     

Bank diversification and monetary policy

Using bank-level data in Asia, we examine the relationship between the effectiveness of monetary policy and the business diversification of banks. We find that bank diversification enhances the effect of monetary policy.     

中国海外耕地投资的区位特征及其影响因素*——基于2000—2016年土地矩阵网络数据

［目的］分析中国海外耕地投资的区位特征及其影响因素，以促进我国海外耕地投资的合理布局，提高农业投资效率。［方法］以2000—2016年中国137宗海外耕地投资项目及其所涉及的35个东道国作为研究样本，运用Spearman相关分析方法，分别以耕地投资面积和耕地投资项目数量作因变量，研究其与各影响因素的相关关系，并用对应分析法进一步探究各东道国的相对优势。［结果］（1）我国海外耕地投资区域集中在东南亚且由周边国家向外扩展，被投资耕地用途多样，投资规模自2004年开始急剧上升，近年来呈下降趋势。（2）我国海外耕地投资以效率寻求型和市场寻求型为主，倾向于资源丰富、与我国距离较近、制度相似、经济关系良好但发展水平不高的国家。（3）根据各地区的比较优势，亚洲国家适合效率寻求型和市场寻求型的企业投资，欧洲和美洲国家适合资源寻求型和战略资产寻求型的企业投资，非洲国家适合资源寻求型、效率寻求型和市场寻求型的企业投资。［结论］中国农业企业应结合企业投资目标和各地区的比较优势，合理选择投资区位，适时转变投资策略与模式，积极防范海外耕地投资过程中的自然风险、政治环境风险和道德风险等，以提高投资效果。     

Determinants of the Performance of Investment Promotion Agencies: Evidence from a Mix of Emerging Economies

This article argues whether and how investment promotion agencies (IPAs) efficiently influence investment promotion in the cases of the following selected variables: resources (experience, total staff, and overseas staff), service functions (combined promotion service of inward investment and trade, and inward and outward investment), and organizational structure (autonomous status of private/upper ministry-level IPAs). The results reveal a positive relationship between IPA’s performance and longer experience, larger staff, larger overseas IPA staff members, autonomous private agency types, and upper ministry-level IPAs. However, an IPA’s performance was negatively associated with the combined promotional service of inward investment and trade, and inward and outward investment. The results suggest that an IPA’s performance can be enhanced by adjusting the service functions and restructuring the governance and structure in addition to improving the IPA’s resources and the country’s investment climate.