This study examined the connection between intra-industry trade (IIT) and its impact on United States carbon dioxide (CO2) emissions. The research also delves into the influence of foreign direct investment (FDI) on CO2 emissions, considering the arguments presented by the pollution haven hypothesis and the halo hypothesis. Employing econometric techniques, specifically panel data analysis, this investigation utilized a Pooled Mean Group (PMG) of an Autoregressive Distributed Lag (ARDL) model. The initial phase of the analysis involved conducting unit root tests, which revealed that IIT, United States renewable energy, and United States FDI are integrated when examined at the first differences level. Subsequently, the study conducted tests to assess cross-dependence among variables. The results of the variance inflation factor test indicated that FDI and IIT do not exhibit multicollinearity issues. In terms of cross-sectional dependence, the investigation concluded that there is no dependence among the variables. In the econometric findings obtained through the ARDL estimator, it was observed that IIT displays a negative correlation with United States CO2 emissions, implying that this type of trade promotes environmental improvements. Moreover, United States renewable energy is adversely affected by CO2 emissions, suggesting that renewable energy initiatives aim to reduce pollution. Finally, United States FDI is found to reduce CO2 emissions, a trend attributed to factors such as product differentiation, innovation, and monopolistic competition.

The Bandung City Department of Trade and Industry (DISDAGIN) is one of the regional apparatuses within the Bandung City Government which has the duties and functions of carrying out Development affairs in the field of Trade and Industry. The Department of Trade and Industry (DISDAGIN) for the City of Bandung, West Java, received an assignment to carry out the development of Small and Medium Industries (IKM) in the City of Bandung. The Bandung City Department of Trade and Industry (DISDAGIN) has attempted to provide guidance by providing facilities in the form of services, training and programs that industrial businesses in Bandung can participate in. This study aims to determine the effect of the dimensions of Marketing Strategy and Service Quality on User Satisfaction using quantitative methods and descriptive approaches and the sampling used is probability sampling, namely simple random sampling with a sample size of 100 respondents. The analysis used includes validity test, reliability test, classical assumption test, multiple regression analysis, correlation coefficient, coefficient of determination and hypothesis testing. Descriptively, User Satisfaction is considered very good, while the Marketing Strategy is descriptively considered good, and Service Quality is descriptively considered very good. There is a weak positive correlation between Marketing Strategy and User Satisfaction with a determination value of 24% and Marketing Strategy has no significant effect on User Satisfaction. Service Quality with User Satisfaction has a strong positive correlation, the determination value is 64.8% and Service Quality has a significant effect on User Satisfaction. Simultaneous calculation results with a sig value of 0.000 <0.05 means that the Marketing Strategy and Service Quality variables have a positive and significant influence on User Satisfaction. Based on this analysis, DISDAGIN of Bandung City designed the strategy to development Smal and Medium Industries.

The key purpose of this research paper is to explore the impact of five macro-economic variables on stock prices derived from the Dhaka Stock Exchange. Five variables such as- Inflation rate, Average Currency Exchange Rate (EXR), Index of Industrial Production (IPI), Supply of Money (M3), and 91-day Treasury Bill Rate (TB) were taken as independent variables, where Broad Index Price of Dhaka Stock Exchange (DSEX) was taken as dependent variable. Monthly data was collected from July 2006 to June 2020 to achieve the study's target, totaling 168 data samples for analysis. Ordinary Least Square (OLS) Regression model used to estimate the relationship on contrary stationarity of data tested by Augmented Dickey Fuller (ADF) test. From the regression performance, it was revealed that the DSEX price had a positive association with Money Supply and, Currency Exchange rate whereas Inflation rate, T-Bill rate, and Industrial Production Index had no relationship with DSEX price. The investor should take investment decision wisely considering the fact that any changes in money supply and exchange rate will positively impact DSEX Broad index price as well as stock return.

Across the globe, the topic of free trade agreements (FTAs) has remained a subject of ongoing debate. This paper aims to clarify recent misconceptions surrounding India's FTA strategy, particularly within the framework of the Act East Policy. It achieves this objective by examining the factors influencing Intra-Industry Trade (IIT), a dominant form of trade that conventional trade theories struggle to explain. Significantly, the paper explores the economics of IIT especially in the presence of FTAs using innovative trade theories. The theoretical analysis is supported by vast economic literature. The paper, therefore, underscores that an FTA in goods and services among ASEAN+6 countries lead to an increased trade integration under RCEP. This trade pattern has been witnessed particularly with India's active participation in global value chains, which has the potential not only to stimulate Intra-Industry trade flows in the relevant region but also to sustain them.

The use of Non-Fungible Tokens (NFTs) has increased recently. NFTs have revolutionized various industries and opened new avenues for creators, investors, and enthusiasts alike. Blockchain technology underpins these distinctive digital assets, guaranteeing their ownership, scarcity, and authenticity. Then, CryptoKitties, a blockchain game on Ethereum that allows users to purchase, collect, breed, and sell numerous varieties of virtual cats, has been introduced to the digital world. This paper aims to shed light on the diverse applications of NFT in digital content, gaming, investment, and even domain names. This work article is a beta study based on fact-finding processes.

The aim of this research is to conduct CVP analysis as an evaluation material for company performance. The method used is a descriptive method with a case study approach. This research uses data in the form of financial information consisting of income and expenses, both fixed costs and variable costs. The results of the analysis carried out show that the contribution margin in 2022 is IDR 434,867,070 with a ratio of 59.37%. The break-even point in 2022 is IDR 622,315,669. The sales level of Rp. 732,434,833 is above the break-even point so that the sales made are said to be able to generate maximum profits. The safety margin for 2022 is 15%. The company's high level of security is said to be good because the possibility of loss is small. The margin of safety in 2022 is IDR 110,119,164. The expected profit in 2023 is IDR 80,439,856, therefore the company must be able to achieve the sales target of IDR 757,804,731. CVP analysis can be useful for company management to assist in planning expected future profits.