This paper presents the application of artificial intelligence in the logistics industry and its impact on employment as well as countermeasures. Shunfeng Logistics has enhanced efficiency and precision with intelligent distribution and warehousing applications. It is important for logistics enterprises and practitioners to pay attention, adapt, and acquire the necessary skills and knowledge to meet the demands of the AI era. The article suggests countermeasures like acquiring new skills, changing jobs, or transforming, along with government support. AI has significantly influenced the logistics industry by enhancing efficiency and accuracy and generating new employment opportunities resulting in some job transformations and upgrades. In the future, the logistics industry will require more highly skilled and specialised professionals and will strive for enhanced intelligence and efficiency. Professionals in traditional logistics practices will need to continuously learn and improve their skills and expertise to keep pace with the evolving challenges and changes in the industry.

Commando-style tourism is a high-intensity, economical, and tight travel mode that has emerged in China since this year. At the same time, it also meets the needs of diversified consumption and relatively high consumption quality and has been favored by young tourists, especially college students. The rise of commando-style tourism has impacted the supply and demand of products and services in the traditional tourism market, thus changing the product structure and time-space structure of the tourism market, promoting the competition between industry consolidation and the market, and urging tourism enterprises to constantly adjust and optimize their products to meet the needs of consumers. This paper introduces the background of the rise of commando-style tourism and its present situation. Analyzing the data from the Ministry of Culture and Tourism, Tongcheng Research Institute and other professional institutions and using the research method of data analysis method shows the dynamic promotion of supply and demand to the tourism market structure. At the same time, the paper gives some countermeasures and suggestions for the follow-up development of commando-style tourism from three perspectives: government, enterprises, and consumers.

It has been confirmed that China's fertility rate has fallen below the fifth lowest globally and has fully entered the low fertility trap. There is an urgent need to increase the fertility rate. This paper mainly studies the causes of the gradual decline in fertility in China in recent years. It compares the subsidy measures taken by various countries to cope with the low fertility rate. It compares the living cost and economic policy system in China to analyze how China should raise the fertility rate. Through the analysis and summary of the literature, it is found that the reasons for the decrease in China's fertility rate year by year are that the explicit and implicit costs of birth and raising are too high, and the allocation of educational resources is unfair, resulting in low social identity and low happiness. With the gradual decrease of the fertility rate, the population structure changes, and the risk increases, making it difficult for the fertility rate to return to normal. Therefore, China should follow the Nordic countries' policies on parenting costs and social welfare, favor multi-child families, reduce parenting costs after childbirth, improve family happiness, and introduce economic support policies for child-rearing. At the same time, China should avoid the policy risk of "only giving money" and avoid the ineffective phenomenon of increasing welfare but declining fertility rates instead of rising.

The coronavirus pandemic influences the economy around the world substantially from 2019 to 2023. Change in the development rate of tourism and the loss rate faced by some homestays, the pandemic significantly impacts the development of various sectors, especially for the tertiary sector. Some typical cases in China are provided to illustrate this viewpoint. Based on previous analysis and investigation on tourism sectors in different regions, the essay is going to offer some suggestions to relevant industries. Furthermore, it is considered that some new rules are implemented on various scenic spots and requirements on scenic staffs, such as hotel staffs being more responsive to demand from the market in order to minimize loss, and some companies in the industry is combining tourism with technology. For further improvements, it is crucial for scenic spots to introduce up-to-date modern digitized technology and replace outdated technology in order to make up for deficiencies and reduce the possibility of any potential loss of interest. Government intervention also promotes the development of relevant industries since it provides public support and sufficient funds. Moreover, innovation helps to gain sales revenue by generating a greater customer base.

The traditional-hotel industry is facing its most difficult time ever, due to the recessionary economy and the low standards of consumption. Hotels are seeking transformations to change this situation, some of them were attempted to go in the certain direction of smart hotel, which is newly-developing and is at the initial stage, so that there are a series of unsolved problems existing in the current times. The paper had extract opinions from surveys about hotel industry and smart hotels and was aimed at discussing the disadvantages of strategies adopted by smart hotels, as well as the potential drawbacks that is predicted at present. Mainly, the paper gave out reasonable suggestions about marketing strategies to practitioner of hotel industry, including Strategies to minimize the impact of the epidemic on decreasing occupancy rate, to avoid ‘arms race’ with other hotels and to prevent unnecessary layoffs. Last but not least, the paper offered speculations to the trends of smart hotel which is possible in the future. Smart hotels will probably be popular among consumers in the future because of its convenience and intellectuality.

Consumption behavior refers to the psychological and practical aspects of consumers' demand psychology, purchase motivation, and consumption willingness. Women are the core mainstay of China's consumer army, with a total female population of 688.44 million in 2023, accounting for 48.76% of the total population. This paper analyzes different age groups, explains the characteristics and influencing factors of female consumers' consumption behavior, and combines practical cases to study women's consumption behavior in different age groups. It is found that female consumers pursue image and pay attention to the image of the consumer behavior qualities, and their consumption behavior appears emotional, rationalization, active, and passive characteristics, accelerating the broadening of the consumer market and promoting the transformation of the current economic structure. Female consumers have become the key object of enterprise market competition; they fully understand the consumption psychology and behavioral characteristics of female consumers and formulate appropriate marketing strategies to improve the competitiveness of enterprises to win in the fiercely competitive market.

With the increasing benefit of the new economy, e-commerce has become a popular business model around the world, but also because of the traditional business activities of all links to realize the electronic network and people's attention, and is regarded as a service industry with great potential. At present, the market size of e-commerce is rising, and digitalization has become the main trend in the development of e-commerce. Strengthening logistics and supply chain systems through digital construction has become an important means for major e-commerce competitors. In order to make big data operate efficiently in the rich scenarios of e-commerce and transform data into real benefits, analyzing the vulnerabilities of the e-commerce industry itself and the reasons favored by consumers has become a necessary method for the specific application of big data. And it is definitely vital to propose feasible future strategic measures from the aspects of marketing and law according to the above content so that big data can better promote the development of the e-commerce industry and not weaken the disadvantages brought by it.

Entrepreneurship is around discussed as the development of the national economy and the progress of the enterprise market. An increasing number of researchers support that advocating the appropriate entrepreneurial spirit is the key to the efficient and sustainable development of enterprises. This paper talks about the Chinese characteristic of entrepreneurship and how it affects the development of Chinese enterprises. With the expanding discussion of the three key spirits in entrepreneurship which are innovation, practice, and revolution, the frame of general entrepreneurship is presented in this article. By combining the cultural style, social environment, and entrepreneur origin with general entrepreneurship, this paper talks about the formation of entrepreneurship with Chinese characteristics. The specific patriotism and integrity contained in Chinese entrepreneurship perfectly adapt to the Chinese enterprise and market. It is not only the spiritual inspiration of the enterprises to attain a high-speed and efficient development, but also the implicit criterion that inspects the harmful behavior and ensures efficiency among enterprises. The development of entrepreneurship with proven Chinese characteristics also brings the development of the enterprise and national economy.

This study uses exploratory data analysis and an exploratory prediction model to examine data scientist salaries. The study examines salary determinants, salary trends, and a forecast model for data scientist salaries. The collection includes wage estimates, job descriptions, company evaluations, and industry data. Descriptive statistics and visualizations reveal variable distributions and trends. Linear regression is used to estimate salaries using geography, industry, firm rating, and job description. However, the original model has a large prediction error, requiring refining. The findings present significant implications for job seekers, companies, and policymakers, necessitating a thorough understanding and response from all these stakeholders. Addressing issues related to data availability and biases becomes imperative, as these could potentially distort the insights and the resulting decisions. Therefore, it's crucial to emphasize and encourage future research in this area to ensure a more equitable and comprehensive approach to employment and policy development.

ESG is one of the critical topics in today’s research. In recent years, researchers have found that sustainability, as represented by ESG, plays a significant role in the development of companies. However, there is a lack of a coherent explanation related to ESG in the segment of the fashion industry in which companies are located. Therefore the research topic of this paper is the relationship between the development of the fashion industry and ESG. The research methodology of this paper is as follows: firstly, we collect the reports like CSR Extract and Annual report published by Hermes, LVMH, and Inditex on their official websites, and then we conduct a qualitative analysis to explore the development of the fashion industry and the investment of fashion industry enterprises in ESG. The study found that ESG in the fashion industry can effectively promote the sustainable development of fashion industry enterprises themselves and also promote the sustainable development of the whole industry.

The world is facing a slowdown in economic growth with the deceleration of global economic globalization, the accumulation of trade barriers across countries and the lack of domestic demand. In particular, the slower industrial recovery after the epidemic and the shift in the international investment boom have further tested the ability of companies and their supply chains to adapt to this complex market environment. Through a comprehensive analysis of Huawei, a leading Chinese high-tech company in the post-sanctions era, this paper provides new ideas for Chinese companies’ development strategies to ensure their survival and sustainable development. This paper analyzes the four dimensions (policy, economy, technology, and society environment). It summarizes Huawei’s competitive performance in these four dimensions to get some suggestions for the development strategy of modern enterprises, which are to pay attention to technological development, keep up with the pace of policies, and manage and control risks.

This research mainly focuses on the exchange rate fluctuations after the British government of Liz Truss announced to introduce the tax reduction policies, mini-budget. This budget covers the abolition of the highest 45% income tax rate, turning down the income tax and partial stamp duty, aiming to provide greater tax relief to the wealthy to encourage investment and consumption. Based on the SVAR, in the case of high inflation and high debt, tax reduction policies may further intensify the pressure of currency depreciation, leading to a significant decline in the exchange rate. In addition, this paper found that fiscal expenditures and inflation rate have significant and persistent impact on the exchange rate. The conclusion of this research emphasizes that the tax reduction policies in the context of high inflation and high debt will exacerbate the exchange rate fluctuations, which has important implications for policy makers and market participants. In the current highly unstable global economy, a deep understanding of the impact of tax reduction policies on the money market is crucial for stabilizing the economy and monetary system.

With the full arrival of the financial technology 3.0 era, commercial banks have realized the importance of using financial technology to accelerate their transformation and upgrading. Studying the influencing factors of commercial banks’ digital transformation has important practical implications for commercial banks to improve their core competitiveness. In the respect of digital transformation, this paper uses principal component analysis method to evaluate the core competitiveness of some typical commercial banks in depth. Finally, it draws some conclusions that with the development of digital transformation, the scale, profitability and solvency of commercial banks become stronger. In this case, core competitiveness of banks becomes better. Driven by digital transformation, the scale, profitability and solvency of commercial banks show a clear positive relationship with the core competitiveness of commercial banks. According to the research conclusions, this paper shows that the development strategies of using digital transformation to improve core competitiveness should be different for banks of different sizes and degrees of development, but all commercial banks should pay attention to the advantages of what digital transformation can bring in improving core competitiveness.

Climate policies benefit the environment, but they can also incur costs in the economy. This paper examines two climate policies, which are carbon tax and cap and trade, and focuses on the impact of carbon tax and cap and trade on occupations in the United States, since different states in the U.S. implement different climate policies. The study finds that carbon tax and cap and trade benefit green occupations, skilled occupations, and large-sized firms and damage non-green occupations, unskilled occupations, and small and middle-sized firms. By analyzing and comparing the employment rate of occupations in each category, this study determines that climate policies stifle occupations, but not all types of occupations, and when certain premises are met, carbon tax creates occupations. This research paper contributes to the literature by exploring the costs of carbon tax and cap and trade and helps the public to respond to environmental issues more effectively.

In the recent years, numerous environmental policies aiming at deterring environmentally hazardous actions have been put in place as a result of the increased concern for environmental quality in the United States. The unemployment rate is impacted by these regulations, which encourage environmental conservation. In addition, given structural unemployment, it is crucial to provide a just transition, providing employees and communities impacted by the move to a more sustainable economy with adaquate support. Policymakers and stakeholders must be aware of how environmental levies, in particular cap and trade, affect unemployment in order to weigh potential trade-offs and create mitigation plans for unfavorable effects. This research paper aims to investigate the relationship between cap and trade policies and unemployment rates. The literature review will encompass both environmental and economic perspectives to support the claims and discussions. Regression analysis and hypothesis testing are applied to set up relationships between cap and trade and unemployment rate. The findings may be used to draw conclusions and have interaction in discussions, dropping light on the complicated relationship among environmental policies and employment dynamics. In the long run, this study aims to provide insights for knowledgeable decision-making in crafting effective and equitable environmental policies that promote sustainable monetary growth while supporting workers and communities via the transition to a greener future.

With the prevalence of the ESG investment concept in China, the scale of ESG investment continues to grow. Taking A-share listed firms as the study sample, this research study empirically investigates the influence and mechanism of corporate ESG performance on the tendency of fund shareholding. The study findings indicate that corporations with better ESG performances are more inclined to attract funds to hold shares. Further, the impact mechanism analysis shows that ESG affects fund ownership mainly through two paths: reducing the risk of stock price collapse and improving the financial performance of enterprises. Further research finds that ESG performance exerts a stronger impact on increasing fund ownership in non-SOE firms than in state-owned firms. Also, firms with sound ESG performance are more inclined to pay cash dividends to return to shareholders. The extended study finds that the effect of ESG on fund shareholding behavior is mainly due to the enhancing effect of three dimensions: management practices, environmental dimension, and social dimension. The conclusion remains unchanged after passing tests such as endogeneity. This research extends a theoretical reference for comprehending the role of ESG in the capital market.

Climate change is a specific contradiction between human activity and the natural environment, especially after the Industrial Revolution. War, as the human activity with the highest intensity, plays an important role in the modern era. This paper comprehensively analyzes the negative and positive impacts of war on climate change. On the one hand, the war increases the carbon emission from post-war reconstruction and the direct destruction brought by the war. On the other hand, war especially war involving major energy-producing countries warns other countries to take an effort to reduce their reliance on fossil-fuel that those energy-producing countries are dominating. This will make the war become beneficial for energy transformation from fossil fuel to renewables. It specifically takes the Yom-Kippur War and the Russia-Ukraine War as examples to illustrate this statement. Meanwhile, it presents a hypothesis, trying to explain the reasons behind the cyclical instability and armed conflict in certain energy-rich regions since the 20th century by making the connection between energy and political circumstance, investigating the continuous impact of war on climate change due to the war and regional instability that linger like a recurring nightmare for decades.

This paper explores Shanghai’s comprehensive waste classification policy, highlighting its impact on waste reduction, recycling, and the economy. The policy engages citizens in waste sorting at the source and leverages a combination of regulations, incentives, and penalties. This study examines the policy’s outcomes, including increased recyclable recovery, reduced hazardous waste, and conversion of waste to valuable resources. Economic benefits such as job creation and a recycling-driven economy are discussed as government investment has boosted the recyclable sector. Growing customer demand under the new policy also creates more jobs. However, challenges such as economic strain and impacts on informal waste collectors should also be acknowledged. Environmental and social concerns, such as plastic bag usage and public dissatisfaction are also addressed. Drawing lessons from waste classification policies in Tokyo and Germany, potential solutions are suggested, including regulatory enhancements, charging mechanisms, stakeholder cooperation, and expanded recycling channels. The abstract underscores the need for continuous evaluation, adaptation, and collaboration to ensure the policy’s success in fostering a sustainable urban environment.

With the rapid development of technology, financial technology (FinTech) is increasingly becoming a powerful driving force in the global financial sector. This paper aims to deeply discuss and study the impact of FinTech on the traditional banking industry, as well as the future trends and risks of the integration of the two. Through the method of combining literature review and case analysis, using data comparative analysis, this paper expounds three parts: the overview of FinTech the impact of FinTech on the business model of traditional banks, and the integration and development of fintech and traditional banks. Through analysis and research, this paper finds that FinTech has a continuous, relatively negative and disruptive impact on many aspects of traditional banking business in recent years, and the strategic trend of the future development of the two has a variety of possibilities as well as risks.

The This paper delves into China’s ambitious pursuit of carbon neutrality by 2060, aligning with the Paris Agreement’s global climate objectives, while acknowledging its status as the largest greenhouse gas emitter. The comprehensive analysis explores China’s evolving policies aimed at achieving carbon peaking and emission reduction within its industrial and manufacturing sectors, crucial contributors to its emissions profile. These policies emphasize a shift towards green and low-carbon practices, necessitating multifaceted transformations in industrial structure, energy consumption, and technological adoption. The paper underscores the intricate challenges posed by global economic dynamics, technological uncertainties, and potential social impacts in China’s carbon neutrality journey, particularly in establishing effective carbon penalties that strike the right balance between emissions reduction and economic stability. To address these challenges, the paper offers strategic policy recommendations, including talent attraction, research promotion, ESG investing, clean technology investment, and international collaboration, emphasizing interdisciplinary approaches and knowledge-sharing. In conclusion, China’s commitment to carbon neutrality signifies a significant stride towards global climate action, and while challenges persist, the nation's resolute policies and collaborative endeavors hold the promise of a transformative and sustainable future for both its economy and the global environment.