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Integrity management of e-commerce enterprises from the perspective of co-governance supervision
Get PDFThe integrity challenges facing e-commerce enterprises are increasingly provoking significant reactions from society. To analyze the dynamic evolution and influence factors of strategies made by the government, e-commerce enterprises, and consumers in different situations, the co-governance supervision of government-e-commerce enterprises-consumers was introduced in this study based on the theory of daily activities. A tripartite evolutionary game model comprising the government, e-commerce enterprises, and consumers was constructed using Matlab for analysis and verification. Results indicate that (1) e-commerce enterprises engage in dishonest practices mainly for additional gains. If the potential benefits obtained are outweighed by the costs of potential sanctions, compensation to consumers, and tarnished reputations under strict government supervision, then e-commerce enterprises are likely to adopt stable integrity management strategies. (2) enhancing government regulation effectiveness and encouraging consumer complaints can significantly reduce the probability of dishonest practices among e-commerce enterprises. (3) increasing government penalties for dishonest practices of e-commerce enterprises, improving government regulations, and engaging in consumers in co- governance by voicing complaints can effectively reduce their motivation for dishonest practices. The conclusions of this study not only enrich the research on integrity management of e-commerce enterprises from the perspective of co-governance supervision, but also provide guidance for curbing dishonest practices by e-commerce enterprises and protecting consumer right
The nexus between logistics competitiveness, logistics carbon emission efficiency and industrial structure upgrading: Evidence from China
Get PDFThe rapid development of the logistics industry has made considerable contributions to China’s industrial transformation and economy soaring. However, the improvement of logistics competitiveness often leads to high carbon emissions. Understanding the dynamic relationship between logistics competitiveness, logistics carbon emission efficiency, and industrial structure upgrading is of great significance for promoting the high-quality development of regional logistics under the context of the carbon-neutrality target. This study employed the panel vector autoregression (PVAR) model to analyse the relationship between logistics competitiveness, logistics carbon emission efficiency, and industrial structure upgrading based on the data from 30 provincial – regions in China for the period of 2007–2021. Meanwhile, the impulse response function was used to reflect the dynamic relationship between the variables of the model, and using variance decomposition to display the percentage change of one variable affected by another variable. The results show that there are self-adjustment effects in logistics competitiveness, logistics carbon emission efficiency, and industrial structure upgrading. Besides, a U-shaped effect is observed from the effect of logistics competitiveness on logistics carbon emission efficiency. It shows a negative impact in the short term and a positive impact in the long term. And it is the same as the effect of logistics carbon emission efficiency on logistics competitiveness, indicating the existence of the time-lag effect. Moreover, upgrading industrial structures has a positive promoting effect on both logistics carbon emission efficiency and logistics competitiveness. Thus, this research provides a unique perspective by exploring how to improve the development of the logistics industry by discussing the nexus between logistics competitiveness, logistics carbon emission efficiency, and industrial structure upgrading
Digital payments as an indicator of financial inclusion in Euro Area countries
Get PDFThe process of digitisation in the financial sector is developing through the systematic introduction of computer systems, the establishment of Internet connectivity and the use and ownership of various information and communication devices. Information and communication technologies can increase the desired degree of financial inclusion in a country by increasing the availability of various financial services. This study examines the individual attributes that can affect financial inclusion in the Euro Area countries in 2021. Our analysis applies a probit model to data from the World Bank Global Findex database, focusing on digital payments as a proxy for financial inclusion. The main finding highlights that higher income, higher education, female gender, and younger age groups are associated with an increased propensity to engage in digital payments. Notably, our expectation of a non-linear relationship between age and digital payments is confirmed, as evidenced by the application of the Robin Hood algorithm. Specifically, we observe a positive correlation between age and digital payment usage. However, this trend reverses beyond a specific breakpoint, approximately around the age of 40, leading to a subsequent decline in digital payment activity. Furthermore, our research shows that individuals who utilised alternative payment methods alongside cash before the COVID-19 pandemic are likelier to engage in higher digital payments. Additionally, a tendency for higher adoption of digital payments coincides with countries that achieved a higher Digital Access Index (DAI), an indicator assessing the degree of digitalisation in a country. Furthermore, it is associated with countries among the Euro Area’s founding members
METODIKA PRO 2. A 3. ROČNÍK ZŠ
Get PDFTyto materiály vypracoval tým z Výzkumného centra pro mládež,
Melbourne Graduate School of Education, University of Melbourne.
Autory metodik jsou:
Metodiky pro mladší žáky: doc. Helen Cahill, Catherine Meakin, Dr. Kylie
Smith, Sally Beadle, Anne Farrelly, Leanne Higham a Dr. Jessica Crofts.
Metodiky pro starší žáky: doc. Helen Cahill, Sally Beadle, Leanne
Hingham, Catherine Meakin, Anne Farrelly, Dr. Jessica Crofts a Dr. Kylie
Smith.
Projekt byl realizován za finanční podpory Islandu, Lichtenštejnska
a Norska prostřednictvím Fondů EHP 2014-2021
How a brewmaster caused a revolution in statistics
No full textJedním z nejpoužívanějších testů statistické významnosti je tzv. Studentův t-test. Autorem matematického modelu, na kterém je tento test založen, je britský statistik William Sealy Gosset (1876-1937). Článek popisuje podstatu a vznik tohoto testu v matematickém a historickém kontextu.One of the most used tests of statistical significance is the so called Student’s t-test. The author of the mathematical model on which this test is based is the British statistician William Sealy Gosset (1876-1937). The article describes the essence and origin of this test in a~mathematical and historical context
EFFECT OF COMMERCIAL WATER REPELLENT AGENTS ON FUNCTIONAL PROPERTIES OF POLYESTER WOVEN FABRIC USED FOR WASHABLE MEDICAL MASKS
Get PDFWater repellent fabrics are always used for washable medical mask production to keep them from the bacterial liquid during use. Choosing the right water repellent which is efficient and suitable for fabric is important in washable medical mask production. The water-resistant treated fabric needs to keep its water repellent for many washed cycles. Moreover, their physico-mechanical properties such as air permeability and thickness must be less changed. In this study, four commercial water-resistant chemicals (Ruco–Coat BC 7068, TP – Phob FC 2904, Phobotex RHP Hydrophobic Agent, Ruco-guard AFB60) were used to treat the 100% polyester woven fabric to examine the influence of the type and concentration of the waterresistant chemicals on water repellent capability of the polyester woven fabric. The fabric thickness and the air permeability of the untreated and treated fabric were investigated. The SEM, FE-SEM analysis, and the FTIR spectra were used to find the differences between the initial and treated fabric. The results showed that the water-resistant type influenced the water repellent capability of fabrics and their duration. Among four investigated water resistance, the TP – Phob FC 2904 presented the best water resistance for treatment of the 100% polyester woven fabric, and its concentration of 50 g/l has maintained 85 % fabric water repellent capability after 25 washed cycles
Jedinák’s sequence
No full textRecenzovaná publikace přináší neobvyklý pohled na matematiku, na matematiky, historii matematiky, úlohy a jejich řešení