With the growing worldwide emphasis on reducing carbon output, China announced its plan to hit peak emissions before 2030 and reach full carbon neutrality by 2060. This pair of objectives—commonly known as the "dual carbon" targets—has made economic restructuring around cleaner energy a national priority. Within this context, financial tools oriented toward ecological sustainability have become increasingly relevant. The present paper uses a review of existing scholarships to investigate how such tools shape progress toward a less carbon-intensive economy. Four main impact channels are identified: steering investment into cleaner sectors, pressuring traditional polluters to modernize, reshaping the energy mix, and spurring the creation of novel environmental technologies. At the same time, several obstacles limit progress. Product offerings remain poorly matched to the needs of smaller firms, public familiarity with these instruments is low, spending on breakthrough clean technologies falls short, and oversight frameworks lack teeth. Based on these findings, a set of practical recommendations is put forward to strengthen the contribution of ecologically oriented financial mechanisms to building a genuinely low-carbon economy.

Automatically redeemable structured products exhibit path dependence, and their pricing is typically achieved using Monte Carlo simulations, assuming the underlying asset price follows a geometric Brownian motion (GBM); this means that volatility is constant. However, real financial markets exhibit volatility clustering and fat tails, and the constant volatility assumption can lead to pricing biases. This paper takes a trigger autocallable note issued by HSBC and linked to the S&P 500 index as an example. It uses both GBM and GARCH(1,1) models to generate the underlying asset price path, calculates the product's theoretical value and expected loss (ES) using Monte Carlo simulations within a risk-neutral framework, and compares the results from four dimensions: fair value, risk indicators, return distribution, and sample path. The results show that the constant volatility of GBM leads to overly dispersed paths and an overestimation of loss frequency, while GARCH, by characterizing time-varying volatility and mean reversion, provides a risk-return profile that better reflects market realities. Therefore, this paper recommends using the GBM model when the market is stable, or the product structure is simple, and using the GARCH model when the market is volatile, or the product exhibits strong path dependence.

In today's society where resources are abundantly available, people's consumption decisions may have transcended the realm of product functional attributes and extended to dimensions such as emotional resonance and identity recognition. Against this backdrop, consumers are still willing to pay excessive prices for specific goods or services. From the situation where high-quality products have excessively high prices but still have buyers, to the limited release of luxury goods, and to the initial rush to purchase of emerging technological products, the phenomenon of premium pricing not only reflects the popularity of the products but also reveals a profound shift in people's inner pursuit of products from "value transmission" to "value creation". Moreover, with the rapid development of social media, more and more people are influenced by a trend that has emerged in the current era. From celebrity endorsements to recommendations from friends, the premium logic of "symbolic consumption" is being restructured. This article attempts to start from actual cases, in detail explore and summarize the evaluation criteria, underlying logic, and the social laws and current situation reflected by the premium effect.

This paper explores the role of third-party certification as a brand signal in international business-to-business (B2B) manufacturing. While certification is often regarded as a technical or legal necessity, this study argues that certification can also be used as a market-oriented signal of trust, legitimacy and supplier capability. SEESA, a Chinese sprayer manufacturer, is the focus of this paper, which adopts a qualitative single-case-study design. The analysis is based on company website materials, certification documents, testing and standards-related files, and evidence from a semi-structured interview with the firm's general manager. The findings reveal that SEESA uses certification in two related ways. Product compliance certifications, such as GS, CE, EMC, RoHS and CCC, support market-access claims and reduce buyer uncertainty in Europe and North America. Management-system and sustainability-related certifications, such as ISO 9001, ISO 14001, GRS and green-product certification, contribute to a more reliable image of the firm and responsible production. The case also illustrates how SEESA converts certificates into a "public brand language" associated with market readiness, industry leadership and trust. It is concluded that certification in Chinese manufacturing for export is not only a form of compliance, but also a strategic resource for branding and legitimacy.

Against the backdrop of China's ESG disclosure regime shifting from semi-mandatory to fully mandatory, ESG information has emerged as a critical determinant of asset pricing in the capital market. This study selects 10 listed companies each from the Shenwan Level-1 Coal and Computer industries in the A-share market, covering the period 2023–2025, to empirically examine the effect of ESG information disclosure on stock pricing deviation and its cross-industry heterogeneity. Using a two-way fixed effects model, the present study this paper find that ESG information disclosure significantly amplifies rather than converges stock pricing deviation. This effect exhibits pronounced industry heterogeneity: it is statistically significant and economically large in the computer industry, while statistically insignificant in the coal industry. The paper further document directional heterogeneity, whereby ESG disclosure exacerbates overpricing but has no material impact on underpricing. Mechanism analysis reveals that investor sentiment plays a partial mediating role: ESG information disclosure indirectly amplifies pricing deviation by fueling irrational investor sentiment. The findings provide empirical support for the design of industry-specific ESG disclosure regulations in China.

China's apparel manufacturing industry boasts a complete industrial chain and strong production capacity, yet its independent brands are developing slowly and still have a prominent gap compared with world-renowned international brands. Core problems such as weak cultural heritage, vague brand positioning, and insufficient global operation capacity have become major obstacles to high-quality development. Based on case analysis and empirical research, this paper identifies the dilemmas of independent brand building for Chinese apparel manufacturers and proposes targeted optimization strategies: strengthening precise brand positioning, deepening cultural value shaping, and promoting brand localization and internationalization through a global operation system. It concludes that the transformation toward brand-led high-quality development can be realized by establishing a new development pattern with brand innovation as the core and differentiated competition as guidance, so as to enhance sustainable brand competitiveness and the international influence of the industry.

Different mental account of different age stage is an important topic about behavioral finance, it is of key significance for better study of mental account. This article sorts out the research on the mental account of different ages and summarizes the progress of the main research from the two aspects of income mode and income distribution of different ages. On this basis, the existing studies still have insufficient impact of age on mental accounts. Some studies only write about the differences between some ages and mental accounts, but do not summarize the whole age stage. Future research should focus on the mental accounts of different ages and explore the application of financial distribution and risk control. By clarifying the psychological state of different age groups and the dynamic change laws, the paper can better build a reasonable financial model. And it can also provide more accurate evidence for financial products, pension financial management and national policies. Therefore, further research in the future should integrate the perspective of life cycle and systematically consider how age affects the distribution of funds and decision-making preferences through economic roles, cognitive ability and social environment.

A sample of Chinese dual-listed A+H share companies has been taken in this paper, and the panel data from 2018 to 2023 is used to construct a two-way fixed-effects model. Based on the above data, determine how much turnover speed, a single stock's return and size of the company are associated with the difference in valuation of A-shares and H-shares. According to the above results, both the turnover rate and the individual stock return have a positive impact on the A-H premium; that is to say, when the trading activity in the A-share market is higher and the return performance of individual stocks is better, the valuation premium of A-shares compared with H-shares will be relatively larger. Conversely, the negative effect of firm size on the A-H premium did not pass the significance test, and therefore it cannot be assumed that it suppresses valuation asymmetry. The results of this study have added to the collection of research on the micro-level factors determining differences in cross-market valuations and provided new empirical evidence to help the researchers better understand the origins of pricing anomalies in the background of cross-market connectivity mechanisms. The above results can provide a reference for the relevant departments to improve the cross-market trading system and cultivate good investment habits.

This paper examines the relationship between Environmental, Social, and Governance (ESG) practices and sustainable development within the fast fashion industry. As global consumers become increasingly concerned about environmental pollution, labor exploitation, and corporate ethics, fast fashion companies face growing pressure to adopt responsible business strategies. This study focuses on how ESG initiatives influence operational sustainability, consumer trust, and long-term competitiveness in the fashion sector. Using a qualitative research method combined with case study analysis, the paper explores the ESG strategies of leading fashion companies and evaluates their effectiveness. The findings indicate that firms implementing robust ESG standards are more likely to enhance brand image, mitigate reputational risks, and sustain long-term market stability. However, challenges such as supply chain complexity, high sustainability costs, and greenwashing accusations continue to hinder ESG implementation. The study concludes that ESG practices are becoming an essential component of sustainable development in the fast fashion industry and provides practical insights for businesses seeking to balance profitability with social and environmental responsibility.

This paper takes Logitech's fiscal year 2024-2025 (April 2024- March 2025) as the research window, and based on 2496 SKU platform week observations, systematically tests how brands implement differentiated pricing on jd.com, tmall.com, Dianyin and pinduoduo, and converts algorithm constraints into profit sources. Three problems are solved. The research found that Logitech built a four-dimensional structure of "price gradient × product version × service bundle × time rhythm", forming a 30% cross platform price difference. Platform heterogeneity, competitive card position (vs Thunder Snake/Siro) and "triple gate" channel order jointly drive Logitech to implement differentiated pricing strategies, and the strength of algorithm governance is positively correlated with cross-platform price difference. With the help of algorithm blind spot anchor overflow and dynamic capability solidification, Logitech achieved 170 basis points to 43.1% in the most stringent period of the algorithm, and gained more benefits. This study provides a theoretical framework and practical enlightenment for the brand "constraint optimization" pricing strategy.