现代企业演化理论:方法论、核心概念及其解释逻辑

基于奥地利学派的知识理论,企业演化的方法论应是个体与环境的互动主义。现代企业演化理论的核心概念是企业家精神、适应性学习和资本结构等,以此为基础建立的启发式的企业演化逻辑,可用于考察企业在不同的演化环境下所采取的不同内外部协调机制(紧密或松散)、学习模式以及知识类型(默会或编码)。此外,企业学习过程和选择过程是交互作用的,企业的创新活动必须考虑时间因素,这将使企业演化变得更加复杂。     

安徽农村金融发展现状、问题及对策

本文回顾了安徽农村金融发展的基本概况,分析了其存在的突出矛盾和问题,提出从六个方面着力改善农村金融服务的对策。     

瑞昌市发展战略定位探讨

瑞昌市处于以长江黄金水段、京九铁路和发展中的公路为依托的点轴系统中,可以充分利用其独特的区位优势和自然资源优势,通过在沿江产业带中进行合理的区域分工,找准其产业定位,进而调整经济结构,同时借助九江出口加工区的建立,组建工业产业集群,促进瑞昌市经济大发展。     

习近平外交思想指向下中日关系发展的新定位

近年来中日关系逐步转寒回暖,无论政治交流氛围,还是经济合作环境都得到了较大改善,这离不开中国政府根据国际形势及中日关系的变化及时调整对日政策,也充分体现了习近平新时代中国特色社会主义外交思想对中日关系缓和发展的引领作用。在安倍首相访华及习近平主席出席大阪G20峰会之后,两国政府在努力建设契合新时代要求的中日关系上达成多点共识。中日双方将依托“一带一路”倡议和第三方市场合作的平台,进一步致力于深化经济合作,维护多边主义和自由贸易体制,共同培育新动能和新的增长点,加速东北亚区域命运共同体的构建。     

Transparency and Resource Allocation of Grassroots Nonprofits in China

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - Organizational transparency has become a prominent concern for the nonprofit sector as it expands globally. Transparency...     

近代广东商业人群在广西的分布面及其梯度差考详——粤港商业经济对广西经济辐射研究之二

文章从中国近代史上城镇经济主体——商业经济的角度切入,运用各类历史资料,分区逐县地确证广东商业人群以及所造成的“无东不成市”格局在全广西的分布范围,并揭示其在广西不同地域的程度等差和梯度分布状态。从而,以原始的生活场景原生态地呈现出粤港澳地区对广西经济辐射由东而西逐步推进、由城市而圩市逐层次渗透的基本节奏和客观规律。     

对具体语境下"诗缘情"的解读——细读陆机《文赋》

本文在分析《文赋》的基础上,通过对《诗经》的以及后世文体发展的探讨,阐述了对“诗缘情”一说的理解,并试图对陆机相对于传统儒家文论的突破(而不是反叛)作出自己的解释。     

Quantile regression for large-scale data via sparse exponential transform method

In recent decades, quantile regression has received much more attention from academics and practitioners. However, most of existing computational algorithms are only effective for small or moderate size problems. They cannot solve quantile regression with large-scale data reliably and efficiently. To this end, we propose a new algorithm to implement quantile regression on large-scale data using the sparse exponential transform (SET) method. This algorithm mainly constructs a well-conditioned basis and a sampling matrix to reduce the number of observations. It then solves a quantile regression problem on this reduced matrix and obtains an approximate solution. Through simulation studies and empirical analysis of a 5% sample of the US 2000 Census data, we demonstrate efficiency of the SET-based algorithm. Numerical results indicate that our new algorithm is effective in terms of computation time and performs well for large-scale quantile regression.     

Instrumental variable based variable selection for generalized linear models with endogenous covariates

We study the variable selection problem for a class of generalized linear models with endogenous covariates. Based on the instrumental variable adjustment technology and the smooth-threshold estimating equation (SEE) method, we propose an instrumental variable based variable selection procedure. The proposed variable selection method can attenuate the effect of endogeneity in covariates, and is easy for application in practice. Some theoretical results are also derived such as the consistency of the proposed variable selection procedure and the convergence rate of the resulting estimator. Further, some simulation studies and a real data analysis are conducted to evaluate the performance of the proposed method, and simulation results show that the proposed method is workable.     

Policies for Recruiting Talented Professionals from the Diaspora: India and China Compared

Despite the continuous asymmetrical power relations between the Global North and South, the “global race for talent” is no longer a privilege enjoyed only by developed countries. Comparative analysis of policy content and effectiveness has attracted increasing interest. The examination of policy initiatives resulting in return migration of highly‐skilled migrants from the Global North to the Global South, however, remains inadequate. In this article, we provide a comparative analysis of policies targeting high‐level Chinese and Indian professionals including full‐time returnees. Two key differences in policy instruments and outcomes in the two countries are identified and they have implications for migration policies in other countries in the Global South and North.