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Jan 5, 2024

Impact of Population Aging on Economic Growth and Coping Strategies

While the pace of economic development is accelerating, the phenomenon of population aging in China is becoming more and more serious, which is mainly due to the demographic structure of China is changing, and the situation of negative population growth is occurring due to the decline in the fertility rate. When the aging of the population is more serious, it will lead to the reduction of the econom_x005fically active population, which will seriously affect the labor productivity, and will have a serious impact on economic growth. Therefore, population aging not only represents a change in the demographic structure of China, but also affects economic development. In view of this, this paper will analyze the measures to cope with the impact of population aging on economic growth, starting from the impact of population aging on economic growth.

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Jan 9, 2024

The Impact of Feedback Strategies of Primary School English Teachers on Students

Based on the feedback strategies employed by primary school English teachers in classroom contexts, this paper analyzes the man_x005fagement methods displayed in the teaching processes from the perspective of teachers, aiming to find out whether these feedback strategies have a positive effect on students’ learning.This paper adopts literature analysis to prove that different classroom feedback strategies of primary school English teachers have different effects on students.

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Jan 9, 2024

The Impact of Verb-Noun Collocations in the Research Writing of Chinese EFL Learners

Verb-Noun collocation in the writings of Chinese EFL Learners’ research articles focus on the correct use in general graduate the_x005fsis. The research was conducted to assess the impacts of the verb-noun collocation in research writing of Chinese EFL students in University Science of Malaysia (USM). Among numerous methods to collocations research, corpus-based approach have been selected to use a quantitative research design, which is based on TYPE and TOKEN, to identify the various verb-nouns collocation and the frequency of occurrence. This paper collected 11080000 verb-noun collocations from four schools and 18 graduate papers at the University of Nilai, and analyzed the results based on inferential statistics. The findings showed that verb-noun collocations are used to report findings, sum up data, discuss result, analyse, and carry out high frequency research in art and engineering. The result of the present paper reveal that a verb-noun collocation among Chinese EFL students in USM has a significant effect. EFL students, however, continuously confirmed that verb-noun collocation is a challenging aspect in vocabulary development. Brief recommendations have been provided.

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Jan 9, 2024

The Impact of Smart City Policies on Urban Technological Innovation Capacity: A Case Study of the Pearl River Delta Region Based on the Double Difference Method

With the acceleration of the global urbanization process, smart city policies are playing an increasingly important role in urban planning and management. The purpose of this paper is to explore the impact of smart city policy on the innovation ability of city science and technology, and to analyze the policy by using the method of difference-difference. First of all, this paper reviews the development of smart city policy and its implementation in different regions of China. Secondly, this paper systematically studies the impact of smart city policies on urban science and technology innovation through the difference-difference method and empirical research. The study found that smart city policies can significantly promote technological innovation activities in cities, improve innovation capacity, and promote economic growth. Finally, the paper explores the potential impact of smart city policies on urban sustainable development, as well as some possible policy rec_x005fommendations. To sum up, smart city policies play a key role in shaping a city’s scientific and technological innovation capacity and are of great significance for future urban development. The findings of this study can help policymakers better understand the impact of smart city policies to develop more targeted and effective policy measures to promote the integration of urban science and technology innovation with sustainable development.

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Jan 10, 2024

Impact of high-speed rail opening on the efficiency of enterprise human capital investment: Evidence from China

In the current context of China’s vigorous development of its high-speed rail (HSR) network to accelerate the realization of connectivity, which is the aim of the “Belt and Road” initiative, it is crucial to study how the specific opening of HSR enhances enterprise human capital investment efficiency. Using a multiple-time-point difference-in-differences (DID) regression model, we empirically study data from listed Chinese companies. An HSR opening can promote the efficiency of an enterprise’s human capital investment. We further explore the relationship between HSR and a company’s human capital investment, by considering the moderating effects of firm property rights and foreign shareholding. Our findings indicate that these factors can enhance the impact of HSR on the efficiency of firms’ investments in human capital. Finally, to ensure the reliability of our experimental findings, we employed a combination of propensity score matching and the DID methodology. The findings of this study offer empirical evidence that can inform enterprise management strategies and provide valuable insights for policymakers seeking to promote economic growth.

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Jan 15, 2024

Analyze the impact of factors on Vietnam banks’ net interest margin: A panel data approach

This study deals with the impact of Vietnam bank size, loans, credit risk, and liquidity on Vietnam banks’ net interest margin, which are crucial for economic development. High profit margins result in a lower bad debt ratio due to timely loan collection and good liquidity. This study applies a panel data model to evaluate the relationship among bank size, loans, credit risk, liquidity, and marginal profitability, which are increasingly important in commercial bank growth. Data were collected from 2010 to 2022, and test methods were applied to select a good-fit model. Realizing that the factors that have a close correlation and affect the profit margin are 33.6% and 16.07%, 75.2%, 37.51%, 64.30%, and 41.11%, and R2 is 59.04%, respectively, this suggests that financial managers need to develop appropriate strategies and policies to adjust the factors that adversely affect commercial bank profitability.

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