Development Of Service Industry Research Articles

Language Service and Regional Economic Development Strategy Based on the “Internet +”

This article expounds the connotation and characteristics of language service, elaborates the relationship between language service and regional economic development based on the “Internet +”, and discusses the implementation strategy of regional economic development in the mode of “Internet + language services”. This mode has an important impact on regional economic development, and effectively deepen the Internet, language services and economy. It has promoted the development of language service industry and regional economy, greatly reduced the marginal cost of language service, and formed diversified service modes.

The temporal and spatial patterns and contributing factors of green development in the Chinese service industry

The service industry has become the driving force of Chinese economic development. Promoting the green and high-quality development of the service industry is of great significance to the realization of the “dual carbon” goal. The current studies use the DEA-Malmquist index method to measure the green total factor productivity of the service industry in 31 provinces and cities in China from 2009 to 2019. The spatial correlation characteristics and contributing factors to the green development of the service industry are analyzed through the social network analysis method. Our results show that the added value of the service industry accounts for a high proportion of GDP. However, the service industries are not green enough due to their large low added value and high energy consumption sections. The green development of the service industry shows complex spatial correlation characteristics, and the service industry in the eastern province is the core of the spatial network. The bridge mediating effect of green development of the service industry in the southern region is significant. The green development of the service sector has a significant spatial spillover effect, and no region can be good alone in green development. Provinces should cooperate to promote green development in the service industry.

Unscented Kalman Filter and H-Infinity for Travel Company Stock Price Estimation

The travel and hotel industry is one of the industries experiencing rapid growth. As the population grows, the need for travel and accommodation services gets higher. This is one of the factors contributing a rapid increase in such service industry. Competition in the economy and business world is getting tougher from year to year both within a country and abroad. Considering that Indonesia is a country comprised of many islands with a variety of natural beauty, it has the very potential for tourist resort attraction. This kind of thing leads to the growth of the Hotel and Travel industry to support tourism development. With such rapid service industry development, supported by promising business opportunities, investors for such sector are encouraged. The right way to reduce risk for investors interested is to develop a system for estimating the stock prices. Therefore, in this study, the stock price estimation method applied for travel companies adopted Advanced Kalman Filter, a comparison of H-Infinify and Unscented Kalman Filter (UKF) as a chart for investors to take into consideration in their investment decision making. The simulation results showed that the UKF method had higher accuracy than the H-Infinify method with an error by the UKF of 3.2% and that by the H-Infinify of 9.6%.

On the Translation Strategies of Human-computer Interaction Based on Machine Translation

With the rapid development of language service industry and artificial intelligence technology, machine translation plays a more prominent role in the translation industry. Human-computer interaction translation greatly improves the speed and quality of translation, and pre-translation editing and post-translation editing are two important links and manifestations in human-computer interaction collaborative translation. On the basis of summarizing machine translation problems, this paper proposes translation strategies including replacing well-translated terms in advance, rewriting, addition, omission, and shift via pre-editing and post-editing, which greatly improves the quality of machine translation.

Does the Belt and Road Initiative promote industrial upgrading and rationalisation and adjustment along the route?

This study uses data from 30 provinces and cities from 2010-2019 to examine the role of the Belt and Road Initiative (BRI) on industrial restructuring and upgrading in Chinese provinces and cities along the route using the Difference-in-differences method. The results found that participation in BRI construction is mainly under favorable policies to ensure that the tertiary sector can be strongly supported for development by stabilizing the macroeconomic situation, improving infrastructure construction, attracting surplus labor to the tertiary sector and strengthening technological innovation. BRI makes the industries tend to be advanced, and the key provinces develop tertiary industries and high-end manufacturing industries when participating in BRI construction and development, take advantage of policies to strengthen foreign trade through various ways, accelerate high-quality development of service industries, and achieve innovation and upgrading. At the same time, BRI can promote the rationalisation of industrial structure, which as an inverse indicator, the initiative makes a significant reduction and promotes the industrial structure to be more in line with the local economic development. The findings of the study provide theoretical support for China's future comprehensive deepening reforms.

Study on the Spatial Convergence Club and Growth Momentum of China’s Regional Economies

The purpose of this paper is to clarify the convergence pattern of China’s regional economies, explore the driving force of their coordinated development, and provide policy suggestions for coordinated and high-quality development. We used nighttime light data from 1992 to 2020 and combined an exploratory spatial data analytical method and a log-t test of a nonlinear time-varying factor model to identify the spatial convergence clubs of regional economic growth and the economic growth drivers of different clubs based on a spatial econometric model. We found that the eastern region is strong while the development of the central, western, and northeastern regions follows China’s long-term trend. Three high-level economic clubs (Shanghai, Jiangsu, and Zhejiang belong to Club 1; Shandong, Hebei, Anhui, Henan, and Liaoning belong to Club 2; Hainan, Fujian, and Guangdong belong to Club 3) have formed in the eastern coastal and central regions, while a low-level one (Inner Mongolia, Hubei, Chongqing, Qinghai, Guizhou, Sichuan, Guangxi, Yunnan, Xizang, Shaanxi, Gansu, Hunan, Ningxia, Xinjiang, Jiangxi, Heilongjiang, and Jilin) has formed in the central, western, and northeastern regions. Beijing, Tianjin, and Shanxi are not convergent. The coordinated development of these regions requires improving the levels of economic growth in the western and northeastern regions to give full play to the role of the Yangtze River Delta as a growth pole and its economic radiation capacity. An analysis of the influence mechanism and spatial spillover effects shows that industrial development and market vitality are the most important driving forces for economic growth. For the low-level club, service industry development, human capital, and resource consumption are also key factors for achieving sustained and stable economic growth.

한국 경비지도사제도의 법규정 변천과정과 함의

The private security services industry in Korea is defined as a ‘security services industry’ according to the 「Security Services Industry Act」, and it is possible to operate the industry only with permission from the commissioner of the Metropolitan/Provincial Police Agency. As of the end of 2021, the number of licensed corporations is 4,342, the number of business fields is 5,143, and the number of deployed security guards is 186,609. And the number of security instructors appointed and deployed in the field to guide, supervise, and educate security guards has reached 8,017. In the security instructor exam, which is a national technical qualification certificate, the number of passers by the 22nd exam has reached 25,024. The security instructor system introduced to improve the quality of security guards deployed nationwide and to develop the private security services industry has improved and supplemented loop holes by amending the ordinance of the Security Services Industry Act according to the changing times and social environment. Nevertheless, there are still voices from the industry and the academic field for improving the legal system to secure the effectiveness of the security instructor system. The purpose of this study was to find the meaning and implications, and to discuss the development direction of the security instructor system in Korea by recognizing the need for continuous study on the system, and by considering the transition process of its legal regulations from the legal point of view for the development of the private security services industry. As a result of the study, the timely revision (based on the effective date) of the security instructor system-related regulations under the Security Services Industry Act has been carried out a total of 11 times. A total of 3 revisions were made to strengthen regulations, 6 revisions were made to ease regulations, and 2 revisions were made to improve and supplement some loop holes. The major revisions with strengthened regulations included strengthening the requirements for permission for the security services industry, strengthening the reasons for disqualification of security instructors, expanding the duties of security instructors, and providing standards for administrative measures. The major revisions with mitigated regulations included mitigating the reasons for disqualification of security instructors, lowering the age for acquiring the security instructor certificate, removing physical conditions, mitigating the criteria for suspension of qualification, increasing the business autonomy of security business operators by abolishing the regulations on submission of security instructor deployment plans, lowering basic training hours for security instructors, exempting from common education upon completion of basic training, expanding exemptions for the security instructor exam, reducing the intensity of job performance, and expanding test opportunities and securing stability by stipulating the security instructor exam cycle at least once a year. In the future, continuous discussion and research on issues and areas that have not been dealt with in depth so far in relation to the revision of legal regulations should be conducted.

An investigation into the normal tax implications of fractional share rights in South Africa

A recent development in the financial service industry is the introduction of the fractional share right that allows a retail investor to invest in a fraction of a listed equity share. Fractional share right is not defined in the Income Tax Act No. 58 of 1962 (‘the Act’), nor has it been subject to scrutiny in South African courts. Uncertainty exists regarding the normal tax implications of fractional share rights in South Africa. This article investigated the possible normal tax implications of a fractional share right for a retail investor. The research followed a qualitative approach through the analysis of primary and secondary sources. The article established that a fractional share right is essentially a contract for difference, with a fraction of a listed equity share serving as the reference instrument. It was ascertained, based on a combination of the integration and bifurcation approaches, that a contract for difference in respect of a fractional share right constitutes a financial instrument for purposes of the Act. Due to the absence of specific provisions in the Act dealing with the normal taxation of financial instruments for retail investors, it was ascertained that the amounts stemming from the contract for difference in respect of a fractional share right may be taxed according to the general provisions of the Act – sections 1(1) and 11(a) of the Act.

Peaking Carbon Emissions in a Megacity through Economic Restructuring: A Case Study of Shenzhen, China

With the growing cost of carbon emissions reduction, the application of industrial restructuring to suppress carbon emissions is becoming more attractive. By constructing an input-output optimization model, this study explored how industrial restructuring helps megacities synergistically achieve carbon peak and high-quality development. The results showed that through contributing 164.4% of the reduction in emissions from 2020 to 2025, industrial structure optimization significantly inhibited the growth of carbon emissions; From 2020 to 2025, the manufacturing structure continued to be high-end, which resulted in a reduction in industrial carbon emissions by 10.3%; through vigorous development of the low-carbon service industry, the carbon emission of the service industry would continue to slow down at an average annual rate of 2.4%. Industrial premiumization and the low-carbonization of the modern service sector are the key driving forces for Shenzhen to achieve low-carbon transformation. The results also showed that the power and retail sectors are the most important for emissions reduction. This study can provide a roadmap for megacities on how to explore potential emission reduction via optimizing their economic structure to help them achieve their carbon emissions peak.

Research on the Development Prospect of "China-Asean" Service Trade- Analysis based on the manufacturing level of service industry

For many years, China's foreign trade in service industry has shown a large trade deficit, limited international development level, and insufficient competitiveness in the international market. Relevant studies show that the lack of development potential of the service industry foreign trade may be caused by the low level of industrial integration in China, the lack of high-tech participation rate and the low comparative advantages. At the same time, many ASEAN countries are also caught in a similar service industry development dilemma. Therefore, China and ASEAN countries should actively deepen cooperation in the areas of complementarity and inadequacy to promote win-win development, and jointly optimize the level of technology and the quality of the service industry, we will comprehensively improve the international competitiveness of the “China-ASEAN” service foreign trade.

Research on the Development Prospect of "China-Asean" Service Trade- Analysis based on the manufacturing level of service industry

For many years, China's foreign trade in service industry has shown a large trade deficit, limited international development level, and insufficient competitiveness in the international market. Relevant studies show that the lack of development potential of the service industry foreign trade may be caused by the low level of industrial integration in China, the lack of high-tech participation rate and the low comparative advantages. At the same time, many ASEAN countries are also caught in a similar service industry development dilemma. Therefore, China and ASEAN countries should actively deepen cooperation in the areas of complementarity and inadequacy to promote win-win development, and jointly optimize the level of technology and the quality of the service industry, we will comprehensively improve the international competitiveness of the “China-ASEAN” service foreign trade.

How smart senior care can achieve value co-creation: Evidence from China.

With the rapid rise of artificial intelligence, smart senior care has become a new trend for future development. The collection of “Typical Cases of Chinese Elderly Service Industry Development” is selected by the script materials. The main purpose of this article is to investigate how smart senior care can achieve value co-creation by grounded theory. This study explores the phenomenon of value co-creation in the participation of multiple actors in smart senior care services. Findings show that institutional guarantee, technical intake, market empowerment, emotional support, service interaction, and reciprocity norm are identified as the driving factors for value co-creation. In addition, the behavioral processes of value co-creation include multi-actor value consensus, co-creation environment establishment, practical value co-creation, public value sharing, and diffusion of service added value in smart senior care. Finally, this study constructs a practical logic model of achieving value co-creation. It extends and enriches the scope of the value co-creation theory. This study confirms that value co-creation can be effectively achieved in smart senior care by the above-mentioned ways, revealing its driving factors and behavioral processes. The article expands on the application of value co-creation in the field of public healthcare. The results have important theoretical and practical significance for narrowing the public service equalization gap.

RGB-D Camera for 3D Laser Point Cloud Hole Repair in Mine Access Shaft Roadway

With the rapid development of the geographic information service industry, point cloud data are widely used in various fields, such as architecture, planning, cultural relics protection, mining engineering, etc. Despite that there are many approaches to collecting point clouds, we are facing the problem of point cloud holes caused by the inability of a 3D laser scanner to collect data completely in the narrow space of the mine access shaft. Thus, this paper uses RGB-D cameras to collect data and reconstruct the hole in the point cloud. We used a 3D laser scanner and RGB-D depth camera to collect the 3D point cloud data of the access shaft roadway. The maximum error was 2.617 cm and the minimum error was 0.031 cm by measuring the distance between the feature points, which satisfied the visualization repair of the missing parts of the 3D laser scanner data collection. We used the FPTH + ICP algorithm, ISS + ICP algorithm, SVD + ICP algorithm, and 3D-NDT algorithm to perform registration and fusion of the processed 3D point cloud and the original point cloud and finally repaired the hole. The study results show that the ISS + ICP registration algorithm had the most matching points and the lowest RMSE value of 13.8524 mm. In addition, in the closed and narrow roadway, the RGB-D camera was light and easy to operate and the point data acquired by it had relatively high precision. The three-dimensional point cloud of the repaired access shaft roadway has a good fit and can meet the repair requirements.

Spatial Distribution Pattern and Influencing Factors of Homestays in Chongqing, China

As an emerging business form of tourism development, homestays also play an important role in China’s rural revitalization and tourism transformation and upgrading, and has attracted increasing social attention. At present, Chongqing is the city with the largest number of homestays in China. Taking Chongqing as a case-study area, based on the homestay data of the Baidu map, this paper comprehensively uses the methods of spatial analysis, multiple regression and geographical weighted regression to thoroughly analyze the regional characteristics and influencing factors of homestay distribution in Chongqing. The results show that: (1) the nearest-neighbor index R of homestay distributions in Chongqing and all regions is one, which shows an obvious agglomeration type. (2) In addition to being highly concentrated in the central urban area, three secondary high-density areas are also formed in the surrounding areas of the central urban area, and there is a trend of concentration and contiguity. The spatial distribution densities of the two urban agglomerations in Southeast and Northeast Chongqing are very low, and the overall distributions are extremely uneven. (3) The factors, such as tourism resource endowment, economic development, service industry development, traffic location, consumption demand and social development conditions, have significant impacts on the distribution pattern of homestays, and the impacts of each factor on the layout of homestays has obvious spatial heterogeneity. Analyzing and revealing the temporal and spatial characteristics and dynamic mechanism of homestays has an important theoretical value and practical significance for better serving the new urbanization plan and implementing the strategy of urban–rural integration and rural revitalization.

Can Coordinated Development of Manufacturing and Information Communication Service Industries Boost Economic Resilience? An Empirical Study Based on China’s Provinces

Information and communication technology has supported industrial digitalization and brought profound changes to many industries. Under the influence of new technologies and applications, the production mode, enterprise form, business mode and employment mode of manufacturing have accelerated reform, which has effectively promoted the production efficiency and green development of manufacturing. In the face of the complicated and severe economic situation and the wave of industrial digitalization in the world today, it is necessary to study the influence of the coordinated development of manufacturing and information communication service industries (M&ICS industries) on economic resilience. Based on the data of China’s 30 provinces during 2010–2020, this paper estimates the economic resilience and the degree of coordinated development of M&ICS industries. Next, based on the setting of two spatial weight matrices, it uses a spatial econometric model to systematically analyze the influence of the coordinated development of M&ICS industries on economic resilience across China’s provinces. The research results show that the economic resilience across China’s provinces had significant positive spatial correlation. Moreover, the coordination between M&ICS industries had a significant positive effect on economic resilience; however, such an effect was concentrated mostly locally, and the spillover effect on surrounding regions was negative and nonsignificant. This study is of vital strategic significance and practical value to promoting both the resilience of the regional economy and the digital transformation of manufacturing.

Cloud Computing Database and Travel Smart Platform Design Based on LSTM Algorithm

Information technology has played a key role in the development of the tourism planning service industry and has now become an important foundation for the survival and rapid development of the industry. In this context, due to the fast updating and popularization of information technology, it has greatly promoted the development of the tourism industry. In order to meet the current public demand for tourism information, this paper integrates cloud computing, VR technology, and big data analysis technology to build a smart platform for intelligent perception tourism information services. The system can obtain tourism information through mobile Internet terminals. Among them, the database of the smart tourism planning platform is the most important module. Aiming at the many difficulties in adapting data encryption in cloud storage applications, this article designs an adaptive CloudCrypt data encryption system based on cloud computing technology and proposes dynamic JavaScript dynamic analysis and automatic identification of data technology, through adaptive different cloud applications to obtain data encryption protection. CloudCrypt is suitable for typical cloud applications, such as mail and storage. The entry cost of the system is extremely low; it can fully guarantee the security of the tourism information platform database and can integrate wireless sensor networks into the tourism information platform. The network system composed of sensor nodes activates detection, calculation, and communication modules through wireless communication and has the advantages of low cost, low power consumption, and fast networking speed. In this paper, through the construction of integrated wireless sensor technology and cloud computing database, it is applied to the construction of a tourism smart platform, thereby promoting the development of smart travel technology.

Prediction of Information Talent Demand Based on the Grayscale Prediction Model and the BP Neural Network

With the increasing popularity of the Internet technology, people are now increasingly accustomed to obtaining information or help through the Internet. Meanwhile, the great development of the information service industry has led to the explosive growth of the demand for information service talents. In recent years, many information service talent demand reports have been released in China, and it has an important guiding significance for information service industry planning. However, there are three problems with the information service industry talent demand reports at present. First, the relevance and support of talent demand analysis and forecast to information service industry planning need to be clarified. Second, the coordination and cooperation of information service personnel demand report preparation need to be improved. The third is the wider application of scientific and reasonable information service personnel demand forecasting models. In the future, we need to develop and use more reasonable information service personnel demand forecasting models and improve the quality of information service personnel demand reports. At the same time, the supporting role of the information service industry in scientific planning needs to be strengthened continuously. Therefore, information service industry talent demand forecasting is of great significance. In this paper, a prediction model of information service talent demand is established by using gray system theory. For the deviations of the GM (1, 1) model, a combined GM (1, 1)-BP neural network prediction model is proposed. The simulation results show that the prediction results of the prediction model in this paper are satisfactory. Therefore, the GM (1, 1)-BP model proposed in this paper can be used as a reference for government decision-making and information service personnel training.

Research on the integration and development of advanced manufacturing and modern service industries in Jiangsu Province

With the continuous development of the economy, the manufacturing and service industries have gradually shown a trend of integration. This study constructs the evaluation index system of the integration of the advanced manufacturing and modern service industries in Jiangsu Province from the three dimensions of integration scale, integration structure and integration efficiency. Finally measures the integration degree of the two industries in Jiangsu Province and the development of the specific three dimensions. The study found that: 1) Overall, the integration of advanced manufacturing and modern service industries in Jiangsu Province is at a moderate level of integration. 2) From the perspective of the scale of integration, from 2015 to 2017, the contribution ratio of advanced manufacturing industry is larger, and after 2017, the contribution ratio of modern service industry is larger; from the perspective of integration structure and integration efficiency, the overall contribution of modern service industry is higher than that of advanced manufacturing. The conclusions of this paper have reference value for promoting the integration and development of advanced manufacturing industry and modern service industry, and provide empirical evidence and suggestions for promoting the integration of the two industries in Jiangsu Province.

A Study on the Innovative Use of Blockchain in the Human Resources Service Industry

The growing maturity of block chain in the context of the big data era has provided new opportunities for the development of the human resources service industry. This paper analyses the problems of the traditional HR service industry from the emerging technology of block chain and innovatively combines block chain technology with HR service industry, conceives a HR service platform based on block chain technology, and uses this platform as the center to connect job seekers, enterprises, partners, and the government, and actively explores the innovative application of block chain technology in HR service industry. The concept of “user profiling” provides new ideas and new ways to realise precise knowledge services for innovation and entrepreneurship. Under the strategic background of the Internet +, mass entrepreneurship, and innovation, we integrate precise service elements into the field of personalised knowledge services for innovation and entrepreneurship, establish a user portrait model for innovation and entrepreneurship, dig deeper into the information resources and knowledge service needs of users for innovation and entrepreneurship from the perspective of portrait, and build a precise knowledge service model that fits the knowledge needs of users for “dual innovation.” It also proposes the implementation and guarantee strategies of the precise knowledge service model for innovation and entrepreneurship based on the dimensions of the concept, resources, users, and services.

Self-supporting or third-party? The optimal delivery strategy selection decision for e-tailers under competition

PurposeWith the vigorous development of the e-commerce delivery service industry, delivery service has become an important factor for e-tailers to obtain the market competitive advantage. However, how to choose the best delivery service strategy is a difficult problem for e-tailers in practice. The purpose of this paper is to investigate the effect of delivery service on e-tailers and online platforms.Design/methodology/approachBased on the Stackelberg game, the research study establishes and solves three models, namely dual self-supporting delivery service model, dual third-party delivery service model and differential delivery service model.FindingsThe results show that when the self-supporting and third-party delivery cost coefficients are all small, no matter which delivery service providers the competitor selects, the e-tailer selects delivery with a lower service fee. When the self-supporting and third-party delivery service fee are all low, no matter which delivery service providers the competitor selects, the e-tailer selects delivery with a smaller service cost. Both service fee and service cost determine the choice of e-tailers' delivery strategy. When the commission rate is moderate, both e-tailers are willing to choose the self-supporting delivery strategy, but the platform only prefers to provide self-supporting delivery to them with a lower delivery service sensitivity coefficient.Originality/valueThis paper analyzes the optimal delivery service strategies for e-tailers to compete with competitors, and explores the impacts of parameters for e-tailers and online platforms in their decision-making. The findings provide valuable implications for relevant practices.