环境规制下政府科技投入对工业企业绿色发展影响

基于我国普遍存在环境规制和政府科技投入背景,本文以我国2009~2018年30个省份为研究对象,从能源消耗、废物排放、废物治理和资源综合利用4个方面对工业企业绿色发展水平进行测度,采用Tobit模型分析环境规制下政府科技投入对绿色发展水平的影响。研究结果表明:我国区域之间工业企业绿色发展水平整体上逐年上升,但是区域间存在较大差异,环境规制与绿色发展水平之间呈现出倒U型关系,政府科技投入对绿色发展水平仅起到有限的激励作用,政府科技投入对在环境规制下的绿色发展水平有一定的促进作用。     

基于超效率SBM模型的珠三角区域物流效率及影响因素分析

物流效率是反映物流绩效水平的重要指标.以珠三角城市群9个地市(不含香港特别行政区和澳门特别行政区)为研究对象,基于珠三角9个地市2010—2019年的面板数据,采用超效率SBM模型和GM L指数,测算珠三角城市群各地市的物流效率值及变动趋势.研究表明:技术进步是珠三角区域物流效率提升的主要因素,综合管理水平有待提高;珠三角区域的物流效率总体处于中等偏上效率水平且变化不大,深圳市物流效率水平提升较快且效率最高,东莞市物流效率最低,珠海市效率值起伏最为明显,整个测算期间呈"W"形走势.为进一步探讨外部因素对珠三角区域物流效率的影响程度,选取Tobit模型进行回归分析,发现区位优势对珠三角地区物流效率的提升起到了重要的作用.     

Is Financial Fragility a Matter of Illiquidity? An Appraisal for Italian Households

We investigate household financial fragility in Italy, providing three main contributions. First, we propose a novel characterization of financial fragility that is not necessarily linked to indebtedness, distinguishes between expected and unexpected expenses, takes portfolio composition into account, and is free of subjectivity bias. Second, we use it to assess the importance of household portfolio composition for determining the difficulties related to coping with unexpected expenditures, besides socio‐economic and demographic factors. Third, we test its ability to forecast future conditions of financial distress. The empirical analysis is based on the Bank of Italy Survey on Household Income and Wealth. The results highlight the relevance of portfolio choices as determinants of financial distress, that is, they provide evidence that homeownership increases the likelihood of financial fragility while the presence of a mortgage decreases it. Moreover our measure is shown to act as an early warning indicator of distress.     

农业综合开发、农技推广培训与农机购置补贴效率

农机购置补贴是中国推动农业机械化最重要的支持政策。本文通过DEA Tobit模型测算了全国30个省份2004—2012年购置补贴政策的综合技术效率、纯技术效率和规模效率,并着重分析了农业综合开发和农技推广培训对补贴效率的影响机制。研究结果表明,全国农机购置补贴政策的综合技术效率水平不高,主要是由于纯技术效率过低;各省份之间的效率值存在较大差异,但规模效率普遍较高;实证结果显示补贴政策实施方式的优化以及农机从业人员的素质对补贴效率有显著的促进作用,但是农业综合开发和农技综合培训却并没有达到理论分析的预期效果。本文对以上问题做出了解释,并给出政策建议。     

How Do Household Tasks Shape Employment Contracts? The Provision of Care in Portugal

This study illustrates the complexities involved in outsourcing domestic work to the market. It draws on an original dataset of paid domestic workers in Portugal to examine how specific tasks interact with and explain contractual arrangements. A fuzzy cluster analysis categorizes paid domestic workers into caregivers and cleaners; however, a great degree of overlap implies that caring also entails cleaning tasks necessary for the care receiver’s well-being. A subsequent Tobit regression analysis shows that caregivers have more formal and stable contracts but earn lower wages and have longer working hours relative to cleaners. The study finds a segmentation of national origin and that some migrants are at a disadvantage in care work. The study also examines how employers deal with the idiosyncrasies of domestic work such as navigating trust-related issues.     

我国商业银行效率影响因素的实证研究

本文应用DEA方法得到的各商业银行的效率值作为因变量,构建Tobit回归模型,研究影响商业银行效率的主要因素,进而提出了提高我国商业银行效率水平和竞争力的相关建议。通过本文的研究,主要得出如下结论:产权结构、创新程度、总资产收益率指标和银行效率显著正相关,总资产规模、成本收入比、股权集中度与银行效率显著负相关,其中总资产收益率对银行效率的影响最大。     

中国商业银行竞争力及影响因素分析:2002—2009年

本文选取中国14家上市商业银行作为研究对象,利用2002—2009年的数据,通过定义社会生产效率、服务效率、盈利效率和成长效率,研究中国银行业的整体效率、效率值动态变化和各银行的效率情况。结果表明,四大国有控股商业银行与一般股份制银行和城市商业银行相比,其社会生产效率、盈利效率过低,但如果将投入变量中的员工数目换为工资薪酬,国有控股商业银行的效率则有很大提升;股权结构会影响效率值,但国有股与效率值不一定负相关,而外资股和效率值正相关,只对于生产效率成立,对于服务效率和盈利效率刚好相反。     

Spillovers between Bitcoin and other assets during bear and bull markets

This article contributes to the embryonic literature on the relations between Bitcoin and conventional investments by studying return and volatility spillovers between this largest cryptocurrency and four asset classes (equities, stocks, commodities, currencies and bonds) in bear and bull market conditions. We conducted empirical analyses based on a smooth transition VAR GARCH-in-mean model covering daily data from 19 July 2010 to 31 October 2017. We found significant evidence that Bitcoin returns are related quite closely to those of most of the other assets studies, particularly commodities, and therefore, the Bitcoin market is not isolated completely. The significance and sign of the spillovers exhibited some differences in the two market conditions and in the direction of the spillovers, with greater evidence that Bitcoin receives more volatility than it transmits. Our findings have implications for investors and fund managers who are considering Bitcoin as part of their investment strategies and for policymakers concerned about the vulnerability that Bitcoin represents to the stability of the global financial system.     

The effect of offshoring on knowledge flows in the US automobile industry

This paper examines the impact of financial constraints on innovation for established firms. We make use of a direct measure of the existence of financial constraints obtained thanks to a specific survey addressed to French established firms. This is a distinctive feature of this paper as most of previous studies had to rely on proxies (like the cash-flow sensitivity), which may be subject to interpretation problems. The probability to have innovative activities and the probability to face financial constraints are simultaneously estimated by a recursive bivariate probit model. Accounting for the endogeneity of the financial constraint variable, we find that financial constraints significantly reduce the likelihood that firms have innovative activities. The probability to encounter financial constraints is explained by firms’ ex ante financing structure and economic performances.