管理层权力制衡强度、债务约束与企业创新投资

企业创新是国家经济可持续增长的关键，受到管理层意愿的影响，因而需要对内部经营者的权力进行制衡。以2010-2018年我国A股上市公司为研究样本，实证检验管理层权力制衡强度对企业创新投资的影响，以及不同债务约束情境下高商业信用配置、高负债水平的调节效应，此外，还考察了产权性质的差异化影响。研究表明，管理层权力制衡强度越大，企业创新投资水平越高；高商业信用强化了该促进作用，而高负债水平弱化了该促进作用。进一步研究发现，管理层权力制衡强度与企业创新投资的关系在民企中更显著；国企能够更好地获得和运用商业信用，使其高商业信用对该关系的强化效应更显著；民企具有更强的债务约束，其高负债水平对该关系的弱化效应更明显。     

协调度视角下长江流域产业转移效率研究

实现区域经济协调发展是当前我国在块集聚与点极化双重压力下面临的现实难题，长江经济带尤其是欠发达省份承接发达地区产业转移是解决该难题的必然路径选择。产业转移活动因区域主客体特征变量不同，呈现出典型的多发式转移和门槛转移特征，使得区域政策制定缺乏科学指导，陷入盲目拼政策红利的状态。结合效率模型及考虑熵权的经济社会发展协同度分析，测算了2004-2016长江经济带各省（市）年综合产业转移效率，并考察了门槛效应值及变化趋势。结果表明：在考察期内，长江经济带各省（市）产业转移效率提升较为明显，但不少省（市）存在不协调的阶段性平衡关系，且这种关系还未显露经济总量驱动下的协同发展能力。     

我国省域农业隐含碳排放及其驱动因素时空动态分析

[目的]我国区域农业发展模式由于气候、环境的不同存在较大的差异,而目前针对农业隐含碳的时空动态研究较为缺乏,导致对于区域减排目标的设定缺乏全面的考虑,无法实现农业碳减排的效率性和公平性。因此,有必要分析农业隐含碳排放在不同省域的特征并分析其驱动因素,为制定体现地区间公平性且有效率的碳减排政策提供依据。[方法]文章利用2002年、2007年和2012年3年的投入产出表估算我国各省(市、区)农业隐含碳排放量,根据Kaya恒等关系将其分解为经济规模、经济结构、一般农业技术进步和低碳农业技术进步4类影响因素,并利用LMDI分解分析法对这4类影响因素的驱动力进行了分析。[结果]2002—2012年我国大部分地区农业隐含碳排放量呈上升趋势,空间上呈现从西到东、从南到北逐渐增加的分布规律,经济规模效应在各省份均呈正向驱动,且在经济发展较为迅速、经济增长后劲较强的地区驱动效应逐渐增强;经济结构效应在大部分省份呈负向驱动,且在重型工业的聚集区域负向效应逐渐增强;一般农业技术因素正向驱动区域逐渐扩散,且在农业大省正向驱动效应逐渐增强;低碳农业技术进步因素在东部发达地区负向的驱动效应较强,在西部驱动效应较弱。[结论]在未来的农业减排政策制定过程中,需要充分考虑不同地区的经济发展、产业结构、农业生产等特点。     

照看子女、劳动参与和灵活就业:中国女性如何平衡家庭与工作

文章利用中国家庭收入调查2007和2008年数据研究了未成年子女对女性劳动参与和职业选择的影响。研究结果表明，家中有未成年子女显著降低了女性工作的可能性，提升了工作女性选择灵活就业的可能性；学龄前子女更有可能导致女性退出劳动力市场，而6-14岁子女更有可能导致女性选择灵活就业；不工作和选择灵活就业使女性更有可能成为学龄前子女的主要照顾者，但灵活就业并没有减少女性的工作时间；女性获得工作灵活性的代价是工资水平显著下降。上述结论在解决了女性劳动参与、职业选择和生育决策的内生性问题之后依然是稳健的。文章的结论对"全面二孩"政策背景保障女性就业有一定借鉴意义。     

Strategic Flexibility in New High‐Technology Ventures

Strategic flexibility is a vital capability for new ventures to update their strategies in a timely manner. However, the role of external knowledge sources in new ventures’ endeavours to develop strategic flexibility are unclear. Drawing on the knowledge‐based and relational views, we explore the effect of two sources of external knowledge: new product development (NPD) alliances, representing tightly coupled sources, and loosely coupled sources such as industry associations. Our field study of 148 high‐tech ventures found that the extent to which firms utilize knowledge from NPD alliances has a curvilinear relationship with strategic flexibility, whereas the extent to which firms utilize loosely coupled sources has a positive linear relationship with strategic flexibility. We also found that in new ventures, decentralization of decision‐making and institutional support enhance knowledge integration, positively moderating these relationships.     

甘孜州农牧区县域发展水平综合评价与特征分析

[目的]对甘孜州各县市的发展状况进行研究探讨,为区域可持续发展策略的制定实施提供科学依据,对提升县域发展水平和发展质量具有重要意义。[方法]建立涵盖经济、社会、资源环境三大模块共计24项指标的评价体系,选取发展较快的2007—2014年为研究时段,运用极差法、改进熵值法、耦合协调度模型与GIS工具,对甘孜州各县市的发展水平进行综合评价与分析。[结果](1)全州综合发展水平指数平均值为0. 500 8,发展水平整体较低,其中康定市得分最高,石渠县最低,县市之间呈现两级分化。(2) 2007—2014年全州综合发展指数平均增幅0. 262 6,年均增速13. 77%,所有县市均处于上升过程,但县市之间增速不一,发展差距逐步扩大。(3)全州发展协调度平均值为0. 390 5,协调度较低,各县市均处于轻度失调或濒临失调水平。(4)发展水平、活力、协调度较高县市均集聚于州东部和南部,尤以东路片区最为典型。[结论]下一阶段需依据各县市实际,立足优势,制定实施合理的发展规划,缩小区域差异,提升综合发展水平。     

Positive Feedback Trading and Investor Sentiment

This article examines how investor sentiment affects positive feedback trading behavior. By analyzing the daily closing total return of CSI 300 index and its individual returns of stocks, we find that relatively high or low sentiment induces active positive feedback trading. With a specific indicator of sentiment, we explain the microstructure setting of the relationship between positive feedback trading and sentiment. We adopt the classical feedback model from Sentana and Wadhwani (1992) to measure positive feedback trading behavior. By adding sentiment factor to the model, we successfully explain how sentiment influences the behavior of both feedback traders and rational investors. The empirical findings suggest that positive feedback traders are more likely to trade when the prices of most securities move forward together. When the sentiment of feedback traders is at an intermediate level, the feedback trading behavior is insignificant.     

Expanding the two wings of social capital for value creation: strategic entrepreneurship of HTC, 1997–2008

This study draws on a historical, qualitative case study to explore how a leading Taiwanese high-tech mobile phone manufacturer, HTC, successfully and continuously manoeuvred the two wings of social capital – that is, structural social capital and cognitive social capital – to create value in its strategic entrepreneurial process between 1997 and 2008. Taiwan is a wide-spreading trust-based Chinese Confucian-influenced culture. The process of developing trust-based social capital for value creation consists of three central actions: identifying potential social capital, reinforcing cognitive social capital, and extending structural social capital. Our findings advance knowledge of trust-based social capital based on the perspective of strategic entrepreneurship for value creation and offer practical implications for the mobilisation of social capital. In sum, we suggest that firms could develop trust-based social capital considering business conditions to reduce possible risks or uncertainties of network management in an international arena.     

土地流转：弱转入土地意愿的博弈分析

[目的]我国土地制度的施行使得农户拥有较多小块土地,家庭农场实现连片规模经营的前提是获得规模连片土地,家庭农场与农户进行土地流转协商时,农户将土地流转给家庭农场的意愿如何值得探讨。因此本文研究目的是对家庭农场实现规模连片生产提出建议,期望家庭农场实现规模化经营。[方法]博弈分析法。[结果]家庭农场存在从农户手中转入土地困难,转入土地意愿不强的现象,家庭农场弱转入土地意愿的根源在于土地租金过低、农户转出土地净利润过低、实际转入土地意愿过低。[结论]由此文章提出了3点建议:(1)尝试"确权不确地,确地不确人"的确权政策(2)创建农村土地经营权流转信息平台,建立农村土地流转交易所(3)工商资本下乡租田的做法需谨慎。     

Object detection based on visual memory: a feature learning and feature imagination process

ABSTRACT

Visual memory plays an important role for the human’s visual system to detect objects. The features of an object stored in the visual memory have much lower dimensions than the features contained within an image. We simulate the visual memory as a feature learning and feature imagination (FLFI) process to build an object detection algorithm. The method is constructed by a bottom-up feature learning and a top-down feature imagination. The proposed object detection method is tested using publicly available benchmark data sets, and the result indicates that it is fast and more robust.