scholarly journals The Influence of Industrial Structure Upgrade on Coupling and Coordinated Development—Empirical Analysis From Chinese Pharmaceutical Manufacturing and Pharmaceutical Service Industries

2021 ◽  
Vol 9 ◽  
Author(s):  
Meng Hu ◽  
Chunhai Tao ◽  
Hao Zhou
Keyword(s):  
Regression Model ◽  
Manufacturing Industry ◽  
Medical Service ◽  
Industrial Structure ◽  
Service Industry ◽  
Service Industries ◽  
Pharmaceutical Manufacturing ◽  
Coordinated Development ◽  
The Impact ◽  
Coordination Degree

The degree of coupling and coordination between the pharmaceutical manufacturing industry and the medical service industry crucially requires improvement by promoting the development of the pharmaceutical manufacturing industry through industrial structure upgrading to narrow the gap between them. First, this article uses the coupling coordination degree model to measure the coupling coordination degree of the Chinese pharmaceutical manufacturing industry and medical service industry; then, it theoretically analyzes the mechanism through which upgrading the pharmaceutical manufacturing industry's industrial structure can improve the coupling coordination degree. Finally, we empirically test the impact of upgrading the pharmaceutical manufacturing industry's industrial structure on the coupling and coordination degree between it and the medical service industry. The main conclusions are as follows: (1). The quantile regression model shows that having an advanced pharmaceutical manufacturing industry positively affects its coupling and coordination with the medical service industry; (2). A threshold regression model is tested, and it is found that only when the pharmaceutical manufacturing industry reaches an advanced level can it significantly promote joint and coordinated development with the medical service industry; (3). Rationalizing the pharmaceutical manufacturing industry structure will inhibit a high level of coordination between it and the medical service industry and their coordinated development.

scholarly journals Research on Influences of Employment in Manufacturing Industry on that in the Service Industry Based on Bayes Model

2018 ◽  
Vol 2 (3) ◽  
pp. 77
Author(s):  
Yue Sun
Keyword(s):  
Manufacturing Industry ◽  
Service Industry ◽  
Service Industries ◽  
Nonlinear Functions ◽  
Bayes Model ◽  
Cardinal Spline ◽  
Error Terms ◽  
Partial Linear ◽  
Stable Growth ◽  
The Impact

Using the data of 285 prefectural and the above-level cities from 2004 to 2016, this thesis reveals the impact of employment in China's urban manufacturing industry on the employment of service industries with the Bayesian model. Under the Bayesian framework, partial linear semi-parametric model is proposed.  The nonlinear functions are fitted by using truncation base cardinal spline and considering the random error terms of mixed normal fitting models. The results show that: employment in the urban manufacturing industry in China has significant influence on the employment in the service industry. When the number of employees in the manufacturing industry changes from 0 to 650,000, the manufacturing industry has less influence. When the number of the employees in the manufacturing industry changes from 650,000 to 900,000, the employees of the service industry will dramatically increase. When the number of the employees in the manufacturing industry is more than 900,000, the employees in the service industry will be prone to stable growth.

scholarly journals Does Emotional Intelligence Influence Employees, Customers and Operational Efficiency? An Empirical Validation

2016 ◽  
Vol 8 (6) ◽  
pp. 77 ◽  
Author(s):  
Mohammad Sultan Ahmad Ansari ◽  
Jamal Ahmad Farooquie ◽  
Said M. Gattoufi
Keyword(s):  
Emotional Intelligence ◽  
Service Quality ◽  
Service Industry ◽  
Service Providers ◽  
Operational Efficiency ◽  
Service Industries ◽  
Empirical Validation ◽  
Continuous Training ◽  
Telecom Service ◽  
The Impact

<p>A research study was initiated to investigate the impact of emotional intelligence on employees’ satisfaction and loyalty, and how it influences operational efficiency in telecom service industry in Oman. A questionnaire-based survey was conducted and the responses received were tested with various statistical techniques. These test results were found to be in broad agreement with the assumptions widely prevalent in management literature and service industries.</p><p>The findings suggest that emotional intelligence contributes significantly in improving internal performance. Employees are valuable assets and improved internal performance is due to employees’ commitment. Service industry could take care of employees, keep them satisfied to win their loyalty, which can be achieved through regular employees’ engagement and involvement. Engaged employees value customers’ expectations and build better relationship. Satisfied and loyal employees are in a position to deliver high service quality and improved productivity. The service provider shall continuously monitor service quality to maintain end users’ satisfaction. It can be sustained through employees’ continuous training and skills development that will improve operational efficiency of the company in terms of increased sales and profitability. Thus, the present study provides an empirical validation and confirmation of the propositions and hypotheses about how service providers should manage employees’ emotional intelligence for giving them satisfaction, winning their loyalty, thereby, eventually enhancing service values, operational efficiency and profitability of the company.</p>

scholarly journals Evaluation of Coupling and Coordinated Development of Marine Economic Policy and Marine Service Industry

2021 ◽  
Vol 235 ◽  
pp. 01011
Author(s):  
Zuoliang Lv ◽  
Bin Li
Keyword(s):  
Economic Policy ◽  
Service Industry ◽  
Causal Effect ◽  
Good Condition ◽  
Economic Policies ◽  
Coordinated Development ◽  
Development Level ◽  
Main Factors ◽  
The Government ◽  
Coordination Degree

This article studies the coordinated development of marine economic policy and marine service industry by constructing a system for evaluating marine economic policy and marine service industry indicators and applying a coupled coordination degree model, and analyzes its development laws. The research shows that the coordinated development level of marine economic policy and marine service industry is on the rise, the interaction level among the elements in the system is enhanced, the cyclic cumulative causal effect and cluster advantage are enhanced, and the coordinated development level is adjusted from primary imbalance to primary coordination. Under the comprehensive effect of the stable curve law of the development of marine economic policies and the stable rising law of the development of marine service industry, the development of marine service industry is in good condition, and the development of marine economic policies lags behind. To further promote the high-quality development of marine service industry, the government can strengthen Guide the connection between the main factors of the two systems and the positive and dynamic response to further promote the coordinated development of the two.

The Effect of Technological Innovation and Market Size on Manufacturing Structure: Evidence from the World’s Largest Tobacco Producer and Seller

2021 ◽  
Vol 7 (5) ◽  
pp. 2422-2444
Author(s):  
Song Teng ◽  
Liu Yuxin
Keyword(s):  
Technological Innovation ◽  
Manufacturing Industry ◽  
Tobacco Industry ◽  
Industrial Structure ◽  
Rapid Development ◽  
Market Size ◽  
Chinese Government ◽  
Explanatory Variables ◽  
Industrial Sectors ◽  
The Impact

Objectives: As the world’s largest tobacco producer and seller, China’s rapid development of the tobacco industry is inextricably linked to the promotion and support of the manufacturing industry. The optimization and adjustment of the manufacturing structure (MS) is critical in determining the competitiveness of the manufacturing industry. This study examines the impact of technological innovation and market size on MS optimization in China using provincial data from 2001 to 2016. We obtain the following main results. First, market size and technological innovation are important drivers in optimizing MS. Technological innovation increases productivity and results in the redistribution of production factors across industrial sectors, altering the industrial structure. The market size facilitates labor division, which boosts productivity. Second, institutional innovation is critical for optimizing MS. It strengthens the impact of technological innovation and market size on MS rationalization. Furthermore, the study’s findings are robust to a variety of estimation techniques, several alternative proxies for core explanatory variables, and a long list of control variables. An important implication of the study’s findings is that the Chinese government should implement effective institutional reforms to accelerate China’s manufacturing industry’s development. China’s tobacco industry, in particular, will achieve higher quality development based on the transformation and upgrading of the overall manufacturing industry.

The prioritization of technologies and public R&D roles between the manufacturing and service industries in the fourth industrial revolution

foresight ◽  
2019 ◽  
Vol 21 (6) ◽  
pp. 680-694 ◽  
Author(s):  
Jinwon Kang ◽  
Jong-Seok Kim ◽  
Seonmi Seol
Keyword(s):  
Artificial Intelligence ◽  
Manufacturing Industry ◽  
Market Failure ◽  
Industrial Revolution ◽  
Service Industry ◽  
Service Industries ◽  
Delphi Survey ◽  
Smart Factory ◽  
Content Type ◽  
Fourth Industrial Revolution

Purpose The purpose of this study is to reveal the similarities and differences between the manufacturing and service industries in their prioritization of technologies and public research and development (R&D) roles, along with the complementation of properties of technology and public R&D role in the context of Fourth Industrial Revolution. Design/methodology/approach Two rounds of Delphi surveys were designed to meet the purpose of this study, which used rigorous triangulation techniques. The Delphi method was combined with the brainstorming method in the first-round Delphi survey, while the second-round Delphi survey focused on experts’ judgments. Finally, language network analysis was performed on the properties of technology and public R&D roles to complement the data analyses regarding prioritization. Findings This study identifies different prioritizations of five similar key technologies in each industry, so that it can note different technological impacts to the two industries in the Fourth Industrial Revolution. Smart factory technology is the first priority in the manufacturing industry, whereas artificial intelligence is the first priority in the service industry. The properties of the three common technologies: artificial intelligence, big data and Internet of things in both industries are summarized in hyper-intelligence on hyper-connectivity. Moreover, it is found that different technological priorities in the service and manufacturing industries require different approaches to public R&D roles, while public R&D roles cover market failure, system failure and government failure. The highest priority public R&D role for the service industry is the emphasis of non-R&D roles. Public R&D role to solve dy-functions, focus basic technologies and support challenging areas of R&D is prioritized at the highest for the manufacturing industry. Originality/value This study of the different prioritizations of technologies in the manufacturing and service industries offers practical lessons for executive officers, managers and policy-makers. They, by noting the different technological impacts in the manufacturing and service industries, can prepare for current actions and establish the priority of technology for R&D influencing the future paths of their industries in the context of the Fourth Industrial Revolution. While managers in the service industry should pay greater attention to the technological content of hyper-intelligence and hyper-connectivity, managers in the manufacturing industry should consider smart factory and robot technology.

scholarly journals Investigate the Relationship between Urbanization and Industrialization using a Coordination Model: A Case Study of China

2020 ◽  
Vol 12 (3) ◽  
pp. 916
Author(s):  
Luo ◽  
Xiang ◽  
Wang
Keyword(s):  
Economic Development ◽  
Industrial Structure ◽  
Value Engineering ◽  
Unstable State ◽  
Coordinated Development ◽  
Coordination Model ◽  
Dynamic Coordination ◽  
Rural And Urban ◽  
The Relationship ◽  
Coordination Degree

The coordinated development of industrialization and urbanization has become a common goal and concern of developing countries. At the same time, measuring the relationship between them is becoming a research hotspot. With reference to value engineering, we constructed a dynamic coordination model to analyze the degree of coordination between urbanization and industrialization in China. During the study, three primary indicators were used to assess the level of industrialization in China, namely: economic development, industrial structure, industrial enterprise. We also use demographic urbanization rate to evaluate the level of urbanization. Subsequently, a dynamic coordination model was established using panel data of China collected from 1978 to 2017. Through the dynamic coordination degree model, the changes in the degree of coordination between urbanization and industrialization in China from 1978 to 2017 were analyzed, and the reasons for the fluctuation of coordination degree were further explored. The results show that: (1) The coordinated development of urbanization and industrialization can be divided into six phases, which is consistent with the major reforms in China's rural and urban; (2) The degree of coordination fluctuated more obviously during 1991–1995, which reflected the unstable state of China in the process of coordinated development of urbanization and industrialization; (3) Most of the time, industrialization is ahead of urbanization, while with rapid economic development, urbanization, and industrialization, are gradually synchronizing in China. The results are of great significance for promoting the coordinated development of urbanization and industrialization and realizing the sustainable development of the city.

scholarly journals Can Industrial Co-Agglomeration between Producer Services and Manufacturing Reduce Carbon Intensity in China?

2019 ◽  
Vol 11 (15) ◽  
pp. 4024 ◽  
Author(s):  
Tuochen Li ◽  
Dongri Han ◽  
Shaosong Feng ◽  
Lei Liang
Keyword(s):  
Climate Change ◽  
Economic Development ◽  
Emission Reduction ◽  
Industrial Structure ◽  
Service Industry ◽  
Threshold Level ◽  
Carbon Intensity ◽  
Producer Services ◽  
Wheel Drive ◽  
The Impact

Climate change poses unprecedented challenges for humanity. Reducing carbon intensity is an inevitable choice for tackling climate change and promoting sustainable development. China has made some emission reduction commitments in the international community to promote the decoupling of China’s economic development from carbon emissions. The realization of the industrial structure from the “single-wheel drive” of the manufacturing to the “two-wheel drive” economic development model of the service industry and the manufacturing has become a key measure to achieve China’s economic intensive development. According to resource misallocation situation in different regions, this paper explored the impact of the collaborative agglomeration between producer services and manufacturing (hereinafter referred to as industrial co-agglomeration) on carbon intensity. The research results show that the carbon intensity is decreasing year by year, and the degree of intensification of China’s economic growth continues to increase. Moreover, the effect of industrial co-agglomeration to promote carbon emission reduction is significantly limited by the degree of misallocated resources, and there is a double threshold effect. Specifically, in areas where resource allocation is reasonable, industrial co-agglomeration can produce significant agglomeration effects and promote carbon intensity reduction. Once the degree of misallocated resources exceeds a threshold level, the agglomeration effect will turn into a crowding effect, resulting in an inability to reduce carbon intensity. We comprehensively analyzed the driving factors for reducing carbon intensity and proposed policy pathways for achieving China’s carbon intensity target.

scholarly journals The Impact of Outward FDI on the Upgrading of China’s Manufacturing Industry Structure: A Literature Review

2017 ◽  
Vol 9 (6) ◽  
pp. 154 ◽  
Author(s):  
Shuyuan Jiang ◽  
Dan Cheng
Keyword(s):  
Direct Investment ◽  
Manufacturing Industry ◽  
Industrial Structure ◽  
Home Country ◽  
Industry Structure ◽  
Outward Foreign Direct Investment ◽  
Outward Fdi ◽  
Pillar Industry ◽  
The Impact ◽  
The Relationship

Since China put forward the strategy of “going out”, outward foreign direct investment (FDI) began to grow rapidly, and the manufacturing industry, as the pillar industry of our country, is facing the dilemma of transformation. This paper will focus on this topic of the relationship between the outward FDI and upgrading of China’s manufacturing industry structure, and sort out and summarize the domestic and foreign literature. It is concluded that the existing literatures are consistent: the outward FDI can promote the upgrading of industrial structure of home country. In terms of China’s manufacturing industry, the outward FDI can promote the upgrading of China’s manufacturing industry, however, the impact have a kind of hysteresis quality, and may produce the phenomenon of “industry hollowing out”.

scholarly journals Sustainable Team Design: A Challenge to Traditional Beliefs in Information-Intensive Service Industries

2021 ◽  
Vol 13 (24) ◽  
pp. 13552
Author(s):  
Mark Geoghegan ◽  
Kathryn Cormican ◽  
Qiong Wu
Keyword(s):  
Sustainable Management ◽  
Service Industry ◽  
Work Teams ◽  
Longitudinal Design ◽  
Service Industries ◽  
Traditional Beliefs ◽  
Substantial Impact ◽  
Team Design ◽  
Information Intensity ◽  
The Impact

Sustainable management activities focus on creating value for organizations. This is particularly relevant in service organizations as they are under increasing pressure to capture and process information efficiently. We advocate that the amount of information and the way teams process this information have a substantial impact on an organization’s ability to sustain a competitive advantage. This study addresses a gap in the literature by examining the impact of the level of information intensity on performance in the service industry. It also contributes to the debate about whether team structure facilitates performance in a service-based organization. A longitudinal design was employed to determine whether information-intensive processes influence performance, and if so, whether the impact differs between team designs. To do this, data were collected from 24,925 motor insurance claims over two distinct time periods. While our findings confirm that information intensity has a direct impact on the performance of claims processing, they also challenge traditional beliefs about self-managed work teams’ dominance. By adopting a more nuanced and context-specific perspective, we discovered that in certain situations the production line approach to team design was more productive than self-directed work teams in respect to critical operational tasks. This research sheds light on a relatively unexplored aspect of the service industry, has implications for sustainable management practices relating to team design, and provides a rich vein for future research studies.

scholarly journals Direct admission to a surgical service reduces hospital length of stay for patients with biliary disease

2019 ◽  
Vol 8 (3) ◽  
pp. 1
Author(s):  
Gregory S. Corwin ◽  
Rebecca Reif ◽  
Kevin W. Sexton
Keyword(s):  
Linear Regression ◽  
Length Of Stay ◽  
Regression Model ◽  
Linear Regression Model ◽  
Medical Service ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Biliary Disease ◽  
Surgical Service ◽  
The Impact

Background: Biliary tract disease is a common condition often necessitating surgical intervention. It has been suggested that categorically admitting these patients to a surgical service rather than a medical service may improve patient outcomes. Our objective was to assess the impact of a protocol change that mandated preferentially admitting patients with biliary disease to a surgical service.Methods: This is a retrospective observational study of patients presenting with biliary disease to a single institution before and after a protocol change that mandated admitting these patients directly to a surgical service. A generalized linear regression model was conducted to analyze the effect of practice change on length of stay, which was primary studied outcome.Results: A total of 3,389 patients were included in the study (n = 1,866 for pre, and n=1,523 for post). There was no difference in hospital length of stay between pre and post groups for non-operative patients (1.9 days ± 4.3 versus 1.9 days ±5.2, p = .972).  However, for operative patients, length of stay was shorter for the post group (4.1 days ± 6.1 vs 6.3 days ± 14.0, p = .066). The linear regression model found that operative patients had an increased probability of having a longer length of stay (coefficient, 0.21; 95% CI, 0.14, 0.29; p < .001).Conclusion: Admission of patients with biliary disease to a surgical service rather than a medical service is associated with shorter length of stay for patients who undergo an operative intervention. An approach of admitting all patients presenting with biliary disease to a surgical service has the potential to significantly reduce hospital costs. Our study supports primary responsibility for surgeons in the care of patients with potentially operative conditions.

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