我国农业转移人口差别待遇的问题成因与解决路径

农业转移人口在城市受到有别于城市居民的差别待遇,究其原因在于制度设计的缺陷以及制度创新的滞后,城市居民的自我保护心理和排外行为以及农业转移人口自身难以融入城市。制度创新是实现农业转移人口无差别待遇的治本之策,加强社区治理是实现农业转移人口无差别待遇的重要因素,提高农业转移人口的综合素质是实现无差别待遇的个体条件,农业转移人口子女公平接受教育是防止差别待遇代际传递的根本举措。     

高技术服务业与资源型产业融合对资源型企业两阶段创新效率的影响

基于新技术与新知识的高技术服务业跨界融合是传统企业实现创新资源优化配置、创新研发和商业转化的重要因素。因此，运用熵指数测度全国各省区高技术服务业与资源型产业融合水平，并利用2014—2017年资源型上市公司面板数据检验两大产业融合对资源型企业两阶段创新效率的影响，同时探讨企业吸收能力的调节作用。结果表明：现阶段高技术服务业和资源型产业融合程度不高，但发展态势良好，处于从失调走向协调的转变期；产业融合对资源型企业创新研发效率短期无显著影响，长期存在抑制作用，资源型企业技术能力刚性导致对新技术的排斥，且较大的产业间认知差距削弱了产业间良性互动带来的技术扩散效应；产业融合对创新转化效率呈先抑制、后促进效应，就长期而言，产业融合具有良好的创新转化推动力；资源型企业吸收能力分别在产业融合与滞后一期创新研发效率及滞后三期创新转化效率的关系中起正向、负向调节作用，表明资源型企业吸收能力构建尚不全面。     

Why Do Firms in Customer–Supplier Relationships Hold More Cash?

A firm is in customer–supplier relationships when its business depends on a small number of major customers/suppliers. In this paper, we provide evidence that relationship‐specific investments undertaken by firms in customer–supplier relationships are associated with high cash holdings in these firms. The evidence is consistent with the prediction of Titman's stakeholder theory that a firm relying on relationship‐specific investments maintains a high cash reserve as a cushion to sustain its relationship‐specific investments when negative shocks occur. Our findings suggest that relationship‐specific investments are important determinants of the precautionary motive to hold cash.     

数字经济时代下长春市乡村振兴的现状与困境研究

乡村振兴与新农村建设直接关系到整个国家的国民素质、经济发展和社会稳定.近年来,在国家智慧乡村、新农村建设等多重因素的推动下,长春市乡村地区获得快速发展,同时也面临诸多难题与挑战.因此,深入研究数字经济与乡村振兴相关理论,分析长春市数字乡村发展的现状和困境,提出可供参考的对策建议,对助力当地农村经济发展有重要的意义.     

任务体验模式在商务英语教学中的实证研究——基于语言经济学视角

基于语言经济学理论,分析探讨了任务体验模式在大学商务英语教学中的可行性和有效性。教学实验表明,以互联网和QQ通讯软件为支撑的大学商务英语任务体验模式不仅获得了学生的普遍认可,增强了学生参与活动的兴趣,而且有助于提高商务意识和学业成绩,同时还为校内商务英语实践提供了新途径。     

Climate,diseases, and the origins of corruption

It has been commonly observed that tropical countries tend to suffer from intense corruption and underdevelopment. This study provides an explanation for this long-standing disparity across the world based on variation in the intensity of ultraviolet radiation (UV-R). The central hypothesis is that UV-R is positively associated with the (historical) prevalence of eye diseases, which significantly shortens work-life expectancy as a skilled worker. This helps shape the worldwide distribution of corruption by affecting the incumbents' window of opportunity. Using data for up to 139 countries, I consistently find empirical support for the positive relationship between UV-R and corruption. The main findings withstand accounting for numerous alternative explanations for international differences in corruption levels. Employing individual-level data from the World Values Survey, I document suggestive evidence that exposure to UV-R is linked to surveyed respondents' tolerance towards corrupt activities. Furthermore, a subnational analysis for China lends credence to the cross-country evidence.     

零工经济时代数字平台控制劳动力的供给行为

本文首先基于委托-代理模型构建了一个数字平台控制劳动力供给的行为经济学模型,从理论上分析了数字平台控制劳动的方式和心理机制;然后建立了一个赫克曼(Heckman)选择模型,利用Uber的大数据实证分析了网约车司机的劳动决策.研究结果表明:(1)在零工具有参考点偏好的前提下,数字平台通过高货币激励或高目标奖励使零工劳动者的参考点具有适应性,进而避免其过早地陷入“收入目标”行为;(2)数字平台利用零工劳动者的厌恶损失偏好,对其实施控制以延长工作时间;(3)网约车司机存在“收入目标”行为,且该行为呈现出动态性的特点;(4)收入激励和“峰时”溢价对网约车司机的工作概率和工作时间具有显著的正影响,且在一天的某个时间段内能够抑制网约车司机的“收入目标”行为.可见,零工经济时代到来,一方面提高了劳动力资源配置效率;另一方面,数字平台通过劳动控制变相延长了零工的劳动时间,加剧了剥削.     

绿色信贷如何影响银行财务绩效——基于地区绿色发展异质性的视角

基于2007~2017年中国34家商业银行非平衡面板数据，实证检验了商业银行开展绿色信贷对其财务绩效的影响，并利用《中国绿色发展指数报告》提供的分省绿色发展指数，考察了绿色发展对绿色信贷与银行财务绩效关系的调节效应。结果表明：商业银行发放绿色信贷投放有助于改善其财务绩效，并且这种改善效应主要来自绿色信贷对银行生息资产收益率的提升作用；绿色发展水平能够增强银行投放绿色信贷的经济效益，并且这种增强效应主要与地方经济增长绿化度和地方政府对绿色发展的支持度有关。商业银行应积极开展绿色信贷业务；政府部门应加强和完善绿色信贷激励政策，以推动绿色金融与绿色经济协同发展。     

Macroprudential regulation for a dynamic Chinese banking system with a scale-free network

Journal of Economic Interaction and Coordination - The frequent global financial crises in recent years show that it is necessary to implement macroprudential regulation for the banking system. At...     

Social media bots and stock markets

This study examines the link between information spread by social media bots and stock trading. Based on a large sample of tweets mentioning 55 companies in the FTSE 100 composites, we find significant relations between bot tweets and stock returns, volatility, and trading volume at both daily and intraday levels. These results are also confirmed by an event study of stock response following abnormal increases in the volume of tweets. The findings are robust to various specifications, including controlling for traditional news channel, alternative measures of volatility, information flows in pretrading hours, and different measures of sentiment.