Impact Of Technological Progress Research Articles

Contemporary Themes in J. K. Rowling's Harry Potter Fantasy Universe

Harry Potter is considered a fantasy literature series written by J.K. Rowling, comprising seven books, with the first released in 1997. It narrates the life of an orphan boy who loses his parents at one year old, victim of a dark wizard’s deeds. This research delves into the elements that have contributed to Harry Potter’s status as a contemporary cultural icon in the fantasy world. It conducts a literary examination of the Series as a notable contemporary fantasy work, particularly significant in the two decades before this paper. The study analyzes critical aspects like settings, characters, plot, themes, narrative structure, and language to understand the widespread acclaim of Rowling’s creation. The results indicate various factors behind the series’ contemporary success, such as the development of engaging events and the impact of technological progress in the contemporary era on enhancing the success of J.K. Rowling’s work.

Advancing Marine-Bearing Capacity and Economic Growth: A Comprehensive Analysis of Blue Economy Resilience, Network Evolution, and Technological Influences in China’s Coastal Areas

This study presents a groundbreaking approach to evaluating the resilience of China’s blue economy, shedding light on its critical role in promoting sustainable development along the nation’s coastlines. By employing advanced methodologies such as social network analysis and the time-varying effect random graph model (TERGM), our research meticulously examines the period from 2007 to 2019. It uncovers the complex dynamics of resilience, focusing on the adversities of unbalanced growth and pinpointing pivotal factors which shape this resilience, including the stability of the marine economy, the rigor of environmental regulations, and the impact of technological progress. Through a strategic compilation of indicators, our analysis offers a detailed perspective on the multi-faceted nature of blue economy resilience. The outcomes underscore the necessity of enhancing network effectiveness and implementing specific measures to encourage sustainable expansion in coastal domains. Leveraging these insights, we advocate for targeted strategies to refine the resilience network’s framework, aiming to bolster the sustainable evolution of marine economic activities. This study not only deepens the understanding of marine economic resilience but also charts a course for achieving a resilient and sustainable blue economy. It stands as an indispensable guide for policymakers and scholars in the realm of marine economics, offering a blueprint for navigating the challenges and opportunities within this vital sector.

"Machine replacement" or "job creation": How does artificial intelligence impact employment patterns in China's manufacturing industry?

Artificial intelligence (AI), as an important engine for promoting high-quality economic development, should not be overlooked in terms of its impact on the employment of the labor force while promoting the digital and intelligent transformation of industries. In the face of the complex international environment and non-systemic shocks, it is of great significance to explore whether it is "machine replacement" or "job creation" in the process of the integration of AI and industry, as well as the impact of technological progress on the employment pattern of the labor force, in order to promote the economic development, respond to and solve the employment problem. It is of great significance to promote economic development and cope with and solve the employment problem. Based on the task model, this paper analyses the mechanism of the impact of AI on the employment pattern of manufacturing industry. Meanwhile, based on the provincial panel data of China's manufacturing industry from 2011 to 2020, it empirically examines the impact of AI on the total employment, employment structure and employment quality of the labor force, and analyses the multiple responses of AI on the employment pattern of the manufacturing industry. The study shows that: Firstly, the level of development of AI and the total amount of employment is a positive U-shaped relationship, the short term is dominated by the substitution effect, and the long term is dominated by the creation effect; Secondly, with regard to the employment structure, low-skilled labor is more likely to be replaced. The financial, accommodation and catering industries are relatively less affected by the spillover effects of the manufacturing industry; Third, with regard to the employment quality, the gap between urban and rural incomes has eased, with per capita net income of rural residents rising to a higher degree than per capita disposable income of urban residents. Thus, in order to further address the impact of AI on the employment patterns of the labor force, the level of AI development should be increased while expanding employment channels, paying attention to labor force skills training, reinforcing the leading role of developed regions, and accelerating regional integration and urban-rural integration, so as to share the dividends of technological progress.

The Effect of Local Internet Development on Employees’ Salary: Evidence from China

ABSTRACT Using empirical data from China, this study examines the impact of local internet development on non-executive employees’ salaries. Research findings show that internet development can increase employees’ salary and pay-performance sensitivity. This effect can be more significant in non-state-owned enterprises (Non-SOEs for short), firms faced with fierce competition, and firms paid little attention to employee protection. Mechanism analysis finds that the positive impact of internet development on increasing total factor productivity and reducing information asymmetry can partly interpret the effect. From the perspective of employees’ salaries, this study sheds light on the impact of technological progress on micro-production relations.

Impact of technological progress on the labor market

The article discusses the issues of technological progress impact on labor market in developed countries and Kazakhstan, to what extent the expectations of mass unemployment are justified and what measures are taken by government employment agencies to mitigate transformational risks in the labor market. Scientific works devoted to quantitative assessment of automation and labor substitution have a very controversial methodology. The article presents the results of the analysis of different approaches and methodologies to assess the impact of automation on the labor market: the approach of measuring the routine of occupations based on the tasks included in the occupation, the application of economic models to determine the impact of automation on jobs and occupations, how the level of demand affects specific types of skills; the analysis of the results of extensive surveys is presented. Based on the methodology for assessing the risk of automation, it is determined to what extent certain occupations in Kazakhstan's employment structure are at risk of automation. It is concluded that the increase in unemployment due to automation, robotization and new digital solutions in the labor market of Kazakhstan is significantly lower than in developed countries. The impact of new technologies on the labor market remains relatively small, with the potential for both job losses and job gains. The authors conclude that most pessimistic forecasts are unfounded. However, emerging trends are becoming more and more concrete, requiring proactive measures to be taken in advance to prevent job losses. Digitalization is transforming existing occupations, requiring new skills to perform new tasks. Therefore, further innovation and economic growth depend on the level of human capital development.

Читательский комментарий в медийно-сетевом дискурсе

The article considers the reader’s commentary in the media network discourse as a verbal reaction to a certain situation or some text. Functional-semantic and genre characteristics of reader’s comments are established. The material of the study includes media texts of readers’ comments in the modern Russian blogosphere. The work uses such research methods as descriptive method, discourse analysis method, contextual analysis, interpretive analysis, lexical-grammatical analysis, stylistic analysis. The main functions of the reader’s commentary are identified, including maintaining communication, refining information, its assessment qualifications, and self-expression. The fact is established that the dominant reaction of the reader is an assessment of the actual content of the material, support or criticism of the blogger and demonstration of his self, reduction of communicative distance. A functional portrait of the reader’s language personality in media-network discourse is offered. The main topics offered by bloggers that attract the Russian readership are revealed: current social problems, historical facts, literary stories, environmental issues, the impact of technological progress on the development of humankind. As a result of the study, it was found that when discussing the factual content of blogs, readers show their interest in the topic, ironic tonality dominates in self-expression. The scientific novelty of the study is that the linguistic features of the reader’s commentary in the media-network discourse are revealed. The study contributes to the development of discursive linguistics, media linguistics, genristics, influence theory, language personality theory. In the future, it is planned to consider the reader’s commentary in the media-network discourse in different linguocultures using the corpus method and quantitative analysis, as well as within the framework of the semiotic approach.

Analisis Topic Modelling Persepsi Pengguna Internet Menggunakan Metode Latent Dirichlet Allocation

Technological advances have undoubtedly had a major impact on information media. One impact of technological progress is the existence of news media as a source of publik information. There is also regional information, both domestic and foreign, and of course there are various discussions. News data from online news portals can be used as a source of information as a source of research and analysis. Of course, newa portals cover all types of news on various topics. Indentifying frequently discussed topics on news portal will denfinitely take a lot of time. Therefore, this research focuses on applying a topic modelling system to implement a news topic decision system using the Latent Dirichlet Allocation (LDA) method. This research successfully applies the Latent Dirichlet Allocation (LDA) method in determining news topics, of which there are three topic categories that are often discussed on the online news portal detik.com. topic 1 contains natural disaster event, topik 2 contins political figures and issues, topik 3 conttains news about the world cup.

Stany Zjednoczone i Arabia Saudyjska w świetle Miast soli ‘Abd ar-Raḥmāna Munīfa i Hologramu dla króla Dave’a Eggersa – pytanie o koszty postępu ekonomicznego

The article analyzes two literary works: At-Tīh (The Lost), the first part of the five-volume Mudun al-milḥ (Cities of Salt, 1984–1989) series by Saudi writer ‘Abd ar-Raḥmān Munīf, and the novel A Hologram for the King (2012) by American writer Dave Eggers. The plot of both novels is set in Saudi Arabia. Both works are interesting studies of the mechanisms behind economic expansion and the impact of technological progress on the societies of the particular regions. However, both novels are characterized by a different historical and cultural perspective. Saudi Arabia illustrated in Minīf’s novel at the beginning of the oil age appears to be a completely different political and economic formation than the modern wealthy Saudi Kingdom illustrated in Eggers’ novel. The position of American capital and industry in the world economy in the first half of the 20th century and the first decade of the 21st century is also different. The geopolitical situation has also changed over the past decades: a new major player – China – has emerged among the economic powers. Despite these differences the analysis of both novels shows that the mechanisms ruling economic expansion remain unchanged and its costs to societies and individuals are difficult to assess. Both works also raise questions about the extent of modernization processes and cultural transformation, as well as the persistence of values, behavior patterns and thought patterns, which reveal their presence especially where the confrontation between the Eastern and Western World takes place.

An empirical assessment of the impact of digital economy and environmental regulation on regional water resources efficiency in the context of COP26.

The 26th Conference of the Parties to the United Nations Framework Convention on Climate Change (COP26) highlighted the importance of nuclear techniques in mitigating the impact of climate change on water resources, and improvements in water efficiency were considered an important step towards the achievement of the COP26 goals. We selected the super-efficiency SBM method to measure water resource utilization efficiency between the period of 2007 and 2020, and we focused on the relationship between the digital economy and water resource use efficiency (WRE). Conclusions as follows: (1) China's water resource use efficiency value is 0.441. The water resource use efficiency in the eastern region is the highest, and that in the western region is the lowest. (2) The digital economy can significantly promote the improvement of water resource use efficiency in the whole country and the eastern region. The impact of the digital economy on water resource use efficiency in the central region is not significant, and that in the western region is inhibitory. (3) In addition to the central region, environmental regulations in the east, west, and the whole country have made positive contributions to the efficiency of green water resource use. (4) Economic development promotes WRE in the whole country, the east, and the middle, but not in the west. The impact of industry on WRE is always negative. The impact of technological progress on WRE in the central and western regions and the whole country is not significant, but the impact in the eastern region is positive. The level of opening to the outside world has no significant impact on the WRE of the eastern region, but negative impact on the WRE of other regions. Abundance of water resources has a negative impact on WRE in all regions.

Green Total-Factor Energy Efficiency of Construction Industry and Its Driving Factors: Spatial-Temporal Heterogeneity of Yangtze River Economic Belt in China.

With the proposal of the “carbon peak, carbon neutral“ goal, energy efficiency has become one of the key means to achieve energy conservation and emission reduction at this stage. The construction industry, as a cornerstone of China’s economy, is characterized by serious overcapacity, energy waste, and pollution. As a result, academic research on its energy efficiency is gaining traction. This paper employed the Super-EBM model considering undesirable output to evaluate the green total-factor energy efficiency of the construction industry (CIGTFEE) in the Yangtze River Economic Belt (YREB) from 2003 to 2018. The spatial-temporal evolution characteristics and spatial heterogeneity of CIGTFEE were analyzed in detail through geospatial analysis. Finally, the driving factors of CIGTFEE were analyzed through a spatial econometric model. The results indicated that, during the sample research period, the CIGTFEE showed a holistic growth trend with volatility. By region, the downstream CIGTFEE grew sharply until 2006 and then remained fairly stable, while the midstream conformed to the “M” trend and the upstream region showed an inverted u-shaped trend; From the perspective of spatial differentiation, the CIGTFEE in YREB shows a significant spatial agglomeration situation, while the spatial agglomeration degree weakened. It existed a ladder-shaped change trend, with the regional average CIGTFEE from high to low levels as follows: Downstream, Midstream, and Upstream, and showed an obvious polarization in the upstream and downstream. From the analysis of the driving factors, CIGTFEE is significantly promoted by economic growth, energy structure, and human capital and suppressed by urbanization level, yet the impact of technological progress and the level of technology and equipment is not significant. In summary, province-specific policies based on spatial and temporal heterogeneity were proposed to improve the CIGTFEE of YREB.

Low Carbon Economy Assessment in China Using the Super-SBM Model

This review proposes a performance evaluation system of low-carbon economic development based on multiobjective analysis in low-carbon environment. This is a modeling method combining super efficiency and relaxation-based measurement model (super-SBM model), which can effectively measure green innovation efficiency with unexpected outputs and traditional innovation efficiency without unexpected outputs. Using the Malmquist–Luenberger index method to dynamically analyze the efficiency of green innovation, a multiobjective model is obtained, including economic scheduling target considering wind power cost and low-carbon scheduling target considering carbon trading. The efficiency of green innovation considering unexpected output is obviously lower than that of traditional innovation without considering unexpected output. This phenomenon is more pronounced in some areas of central and western China. Technical efficiency improves the innovation level of environmental protection economy in China and the impact of technological progress is greater than that of technical efficiency. In this review, the output super SBM model is used to study the development of China's low-carbon industry, and the correlation between the prediction model and the performance change of low-carbon economic development is analyzed. The Malmquist–Luenberger (ML) index of environmental protection product development efficiency in China is not less than 1. Due to the improvement of the efficiency of scientific and technological development, the combination of the two will eventually lead to the improvement of the development of green products and environmental economic products in China. Combining with the empirical analysis, this paper puts forward some methods to promote the low-carbon economy in the economic zone.

Artificial Intelligence and Employment: New Cross-Country Evidence.

Recent years have seen impressive advances in artificial intelligence (AI) and this has stoked renewed concern about the impact of technological progress on the labor market, including on worker displacement. This paper looks at the possible links between AI and employment in a cross-country context. It adapts the AI occupational impact measure developed by Felten, Raj and Seamans—an indicator measuring the degree to which occupations rely on abilities in which AI has made the most progress—and extends it to 23 OECD countries. Overall, there appears to be no clear relationship between AI exposure and employment growth. However, in occupations where computer use is high, greater exposure to AI is linked to higher employment growth. The paper also finds suggestive evidence of a negative relationship between AI exposure and growth in average hours worked among occupations where computer use is low. One possible explanation is that partial automation by AI increases productivity directly as well as by shifting the task composition of occupations toward higher value-added tasks. This increase in labor productivity and output counteracts the direct displacement effect of automation through AI for workers with good digital skills, who may find it easier to use AI effectively and shift to non-automatable, higher-value added tasks within their occupations. The opposite could be true for workers with poor digital skills, who may not be able to interact efficiently with AI and thus reap all potential benefits of the technology1.

China's natural gas production peak and energy return on investment (EROI): From the perspective of energy security

China has to make full use of natural gas for a long period due to its cleanness and economy. To ensure energy security and promote natural gas development, it is necessary to reasonably predict natural gas peak under the background of unconventional natural gas replacing conventional natural gas in the long term. Based on Hubbert's peak theory, this paper forecasts that China's natural gas production will reach 196.7–582.5 billion cubic meters when considering the contribution of unconventional natural gas. The upper value is an optimistic scenario that fully considers the impact of technological progress and development investment on unconventional natural gas exploration. In an optimistic scenario, China can achieve energy security and a Nationally Determined Contribution plan by controlling the foreign dependence on natural gas within 40%. This paper also analyzes the internal mechanism between resource scarcity, natural gas peak and energy transformation from an energy return on investment. China's EROI in the oil and gas industries has experienced a U-shaped fluctuation process; in an optimistic scenario; EROI will continue to rise until natural gas production reaches its peak and effectively make natural gas the bridging fuel for the transformation from fossil energy to renewable energy.

Impact of technological progress on carbon emissions in different country income groups

This study examines the complex relationship between carbon emissions and technological progress in a sample of 60 countries divided into four income groups for the period 1989–2018. For robustness purposes and due to the broad definition of technology, we use six different proxies to represent technology: Information and telecommunication technology (ICT), patents, public R&D expenditure, Total factor of productivity (TFP), science and technology publications. After applying the fixed-effect method with Driscoll and Kraay standard errors, ICT variables appear to be good instruments for carbon reduction in the full sample. However, R&D expenditure and patents do not significantly impact carbon emissions. TFP increases carbon emissions, while science and technology publications are negatively related to carbon emissions. The analysis shows mixed results for the various country income groups and all indicators.

AN EVALUATION ON THE OPERATIONAL EFFICIENCY OF TAIWANESE SEMICONDUCTOR IC INDUSTRY

The purpose of this research is to elaborate a three-stage hybrid measure data envelopment analysis (DEA) with meta-frontier model, and then estimate the technical efficiency of Taiwanese semiconductor integrated circuit (IC) companies by using data from 2005 to 2016 on 92 firms. The study divided the Taiwanese semiconductor IC companies into two groups (IC design and IC manufacturing/packaging/testing) based on their different production characteristics and using the concepts of DEA meta-frontier models proposed by [O’Donnell, CJ, DP Rao, GE Battese (2008). Meta-frontier frameworks for the study of firm-level efficiencies and technology ratios. Empirical Economics, 34(2), 231–255] to estimate their efficiencies. The empirical results of this study show that the adjustment range of the average meta-efficiency values of all firms is higher than the adjustment range of the financial turbulent in 2007–2009 and 2011–2013. Second, before and after the adjustment, the distribution of the meta-technology ratio (MTR) changed slightly. The main reason may be that the global economic recession triggered by the 2007–2009 global financial tsunami and the 2011–2013 European debt crisis offset the impact of technological progress. Finally, under the considerations of environmental factors, the ratio of export to total sales, the degree of diversification, research and development spillover effects and the ratio of investment to mainland China are the main determinants influencing the operational performance of Taiwanese semiconductor IC firms and the impacts on MTR.

Exploring the spatial distribution of distributed energy in China

Expanding distributed energy supply can not only make up for the energy shortage, but also help reduce carbon dioxide emissions. Existing studies often ignore the differences in the spatial distribution of distributed energy. To fill this gap, this article uses the geographically weighted regression model to investigate China's distributed energy based on the 2003–2019 panel data. Empirical results display that the impact of technological progress on distributed energy varies across region, because technology investment varies from region to region. Energy infrastructure investment has a greater influence on distributed energy in the eastern region, since it invests more infrastructure construction funds. The energy consumption structure has a greater pulling effect on distributed energy in the central region, because this region has more coal resources. Foreign oil dependence has the greatest effect on distributed energy in the eastern region, since this region imports more oil. Similarly, urbanization has the greatest impact on distributed energy in the eastern region, because this region consumes more natural gas. Therefore, government managers should consider spatial heterogeneity when formulating distributed energy policies.

Exploring the effective way of reducing carbon intensity in the heavy industry using a semiparametric econometric approach

China has promised that by 2030, its carbon intensity will be cut down by about 60%. The purpose of this article is to investigate the main influencing factors of the heavy industry's carbon intensity. Different from the existing related literature, this article uses a semiparametric model to empirically analyze the carbon intensity of China's heavy industry. The main results are as follows: (1) the relationship between spatial agglomeration and carbon intensity shows a non-linear pattern, mainly caused by the cross-regional flow of production factors. (2) The impact of technological progress on carbon intensity also displays significant non-linear characteristics, mainly due to the staged differences in research and development investment. The following three factors are linearly related to carbon intensity. (1) Energy consumption structure has a more significant linear impact on the carbon intensity in the central and eastern regions, due to the heavy coal consumption of the heavy industry in these two regions. (2) The linear impact of environmental regulations on the carbon intensity in the eastern region is more significant, owing to the region's considerable investments in environmental governance. (3) The industrial structure has the most significant linear impact on the carbon intensity in the eastern region, since the scale of the tertiary industry in this region is larger. The conclusions can provide empirical support for local government managers to formulate differentiated energy policies.

Impact of technological progress on factor bias and energy intensity of China’s thermal power generation sector

Impact of technological progress on factor bias and energy intensity of China’s thermal power generation sector

The impact of technological progress on China's haze pollution-based on decomposition and rebound research.

In order to effectively analyze and explore the socio-economic impact of haze pollution, the article constructs a comprehensive two-stage decomposition model to verify that technological progress plays a key role in controlling haze pollution. And for the first time, a macro-level research framework for the rebound effect of haze pollution has been constructed to compare and analyze the heterogeneity of the rebound effect of technological progress in different industries in different regions. The study found that (1) during the period 2000-2017, haze pollution situation deteriorated. Economic effects were the main reasons for haze pollution. Among these effects, technological progress was the main driving force for haze control, followed by the emission intensity during 2000-2011 and the reduction of industrial structure since 2014. (2) The significant drive of emission reduction is in the secondary industry, showing a trend of first increasing and then decreasing. Besides, there was a difference in spatial distribution, which shows an increased trend from east to west. (3) The rebound effect of haze pollution at the macro level in China presented high-level fluctuations, and there were certain spatial distribution differences. However, due to the convergence of technological development stages, regional differences have a gradual convergence trend. In the future, in the process of haze control, it is necessary to increase support for technological innovation, implement energy total control and price reform, promote technological progress, and implement differentiated haze reduction policies to solve problems according to local conditions.

The impact of technological progress on the different generations of workers in the European banking industry: the central role of social dialogue to promote age diversity management and knowledge transfer

The impact of technological progress on the different generations of workers in the European banking industry: the central role of social dialogue to promote age diversity management and knowledge transfer