长三角地区能源效率及其影响因素分析

当前我国生产领域中的能源效率远低于发达国家,而长江三角洲是我国主要能耗地区,提高长三角地区的能源效率具有重要的现实意义。选取了长三角内部三省市14年的面板数据,利用能源强度评价长三角地区能源利用现状,通过实证分析长三角内部各省市的能源效率影响因素,结果发现产业结构和市场化程度对能源效率具有正面影响,外向化程度对能源结构具有负面影响。     

长三角地区农民资金互助合作社运行满意度及影响因素分析 ——以泰州市苏陈资金互助合作社为例

农民资金互助合作社是目前准新型农村金融机构在长三角地区的典型代表。基于对江苏省泰州市苏陈资金互助合作社的实地调研,重点考察社员对样本农民资金互助合作社运行的满意度及影响因素。研究发现：样本社社员对于农民资金互助合作社的整体运行情况基本持肯定态度;社员的家庭总收入、政府对农民资金互助合作社的支持力度以及社员在农民资金互助合作社借用的互助金额度,是影响社员对于农民资金互助合作社满意度的主要因素;农民资金互助合作社融资业务的开展,对于社员的农业和二三产业经营均具有正向促进作用;农民资金互助合作社的互助金投放的覆盖面与农村信用合作社等传统农村正规金融机构形成了互补关系。在此基础上,提出了相关政策建议。     

“双碳”目标下农业生态效率测度及影响因素分析

农业生态效率是农业经济和生态环保协调发展的重要体现。文章首先引入农业碳汇效应,构建农业生态效率测度指标体系;其次,基于2010—2019年中国31个省市面板数据,运用熵权法改进的超效率SBM测算各地区农业生态效率;然后运用面板Tobit模型探究农业生态效率影响因素。结果发现：2010—2019年中国农业生态效率总体呈现平稳上升态势,空间上呈现东北地区最高、东部次之、西部较低、中部最低的分布格局;财政支农程度、工业化程度、农业自然环境、农业机械密度对农业生态效率产生负向影响;农业环境规制、科技支持力度、农业资源禀赋、农业人力资本和农业生产能力对农业生态效率产生正向影响。最后,提出合理投入农业要素资源;促进农业生产增长;加大农业科技研发和推广力度;提高农业劳动力素质等建议。     

An improved cluster two-stage randomized response model

In this paper, Abdelfatah and Mazloum's (2015) two-stage randomized response model is extended to unequal probability sampling and stratified unequal probability sampling, both with and without replacement. The extended models result in more efficient estimators than Lee et al.'s (2014) estimators of the proportion of the population having a sensitive attribute.     

Cytometry inference through adaptive atomic deconvolution

In this paper, we consider a statistical estimation problem known as atomic deconvolution. Introduced in reliability, this model has a direct application when considering biological data produced by flow cytometers. From a statistical point of view, we aim at inferring the percentage of cells expressing the selected molecule and the probability distribution function associated with its fluorescence emission. We propose here an adaptive estimation procedure based on a previous deconvolution procedure introduced by Es, Gugushvili, and Spreij [(2008), ‘Deconvolution for an atomic distribution’, Electronic Journal of Statistics, 2, 265–297] and Gugushvili, Es, and Spreij [(2011), ‘Deconvolution for an atomic distribution: rates of convergence’, Journal of Nonparametric Statistics, 23, 1003–1029]. For both estimating the mixing parameter and the mixing density automatically, we use the Lepskii method based on the optimal choice of a bandwidth using a bias-variance decomposition. We then derive some convergence rates that are shown to be minimax optimal (up to some log terms) in Sobolev classes. Finally, we apply our algorithm on the simulated and real biological data.     

Responsibility,planning and risk management: moralizing everyday finance through financial education

The individualization, privatization and marketization of risk management represent a fundamental dimension of the financialization of everyday life. As individuals are required to engage with financial products and services as the main way of protecting themselves from risks and uncertainties, their economic welfare and security are construed as depending largely on their own financial decisions. Within this setting, the concept of financial literacy and accompanying practices of financial education have emerged as a prominent institutional field handling the formulation and communication of the attributes and dispositions that arguably constitute the proper financial actor. This article analyzes financial education programmes currently conducted by state agencies in Israel, examining the notions and principles they articulate when defining and explaining proper financial conduct. The study indicates that moral themes and categories occupy a salient place in the formulation of the character traits that constitute the desired literate financial actor. Notions of individual responsibility, planning ahead and rational risk management are presented not merely as instrumental resources, but as moral imperatives. Through these notions, the programmes moralize a broad array of everyday practices of personal finance such as saving, investing, borrowing and budget management, thereby connecting the sphere of financial matters to the domain of moral virtues. Offering a representation of particular modes of financial conduct as constitutive components of morally virtuous personhood, these practices imbue the financial field as a whole, especially its current generalized logic of individualized and marketized risk management, with moral meanings, hence contributing to the normalization and depoliticization of the financialization of everyday life.     

Cross-validation of the screening scale in an adult protective services sample

Adult Protective Services (APS) professionals are often called on to assess decision-making capacity when investigating financial exploitation. Previous research found that in consecutive APS cases, a decision-making screening scale (LFDSS) also detected financial exploitation. The purpose of this study was to apply the clinical cutoff scores derived from the previous study to a new sample of APS cases. Using a sample of 105 participants, from APS workers across 5 counties this study investigated the clinical utility of the LFDSS to detect financial exploitation based on ratings by APS professionals using the scale. Results demonstrate that the LFDSS has excellent internal consistency and clinical utility properties. This paper provides support for use of the LFDSS as a reliable and valid instrument. Instructions for use of the LFDSS are included in the article, along with information about online support tools.     

Identifying Systemically Important Banks: A temporal approach for macroprudential policies

Contrary to the general belief, systemic risk does not only regard the risk posed by balance sheet relationships and interdependencies among institutions. It also features a temporal dimension related to the inappropriate responses of financial market participants to changes in risk over time. This paper proposes a method to simultaneously address the cross-sectional and the time dimension in which systemic risk materializes. The method is based on the TOPHITS algorithm. It provides three scores, namely borrowing, lending and time scores: the first two represent the systemic importance of the borrowing and the lending activity associated with each financial institution,while the third represents an empirical Early Warning Signal of the financial crisis. Our findings reveal that the identification of the time score as an indicator for an incoming market distress could be relevant to design macro prudential policies.     

基于信息披露文本的上市公司财务困境预测:以中文年报管理层讨论与分析为样本的研究

本文采用文本分析方法研究了中文年报管理层讨论与分析传递的管理层语调能否提供财务困境预测的增量信息、能否提高预测的准确性以及文本内容的信息价值,主要结论为：（1）管理层语调确实为财务困境预测提供了新的信息,能提高财务困境模型的拟合程度和预测能力;（2）管理层语调是对定量财务数据的重要补充,而且这些信息并没有在市场交易价格中得到充分反映;（3）负面语调比净语调具有更高的信息价值;（4）财经文本情感或语调的分析应以基于相关来源财经文本的情感词词典为基础,而直接引入其他领域成熟词典的效果较差。     

Efficiency and effectiveness of knowledge management systems in SMEs

This paper proposes a 3D fuzzy logic methodology to assess the efficiency and effectiveness of knowledge management systems (KMSs) adopted by small and medium enterprises (SMEs) and identifies a classification bringing together the behaviour of SMEs when adopting KMSs. The proposed methodology was previously tested on an individual SME and then implemented on a sample of SMEs. The results highlight that there is an ample variety of behaviours related to the nature of knowledge and the KMSs used. Specifically, four typologies of behaviour are identified: the efficient and effective SME, the effective but inefficient SME, the efficient but ineffective SME, and the inefficient and ineffective SME. The results show that only 18% of surveyed SMEs are efficient and effective for both KM-Tools and KM-Practices, the remaining 82% are inefficient or ineffective for KM-Tools and/or KM-Practices. Lastly, the paper shows how this methodology may be used by an SME as a managerial tool to suggest appropriate changes to improve the efficient and effective adoption of KMSs supporting SMEs in the knowledge management processes.