Scientific Research Input Research Articles

Scientific research input and output efficiency evaluation of universities in Chengdu-Chongqing economic circle based on data envelopment analysis.

The study takes 10 urban agglomerations in China as the research object, focusing on the Chengdu-Chongqing urban agglomeration, and applies Data Envelopment Analysis (DEA) to measure and compare their scientific input and output efficiency of universities. First, this paper analyzes the input and output of scientific research in universities in major provinces in China in detail. Second, according to the construction principles of the indicator system, using qualitative interview to construct evaluation indicators of university research efficiency. Third, using DEA method, first analyze the input and output profile of some urban agglomeration universities such as Chengdu-Chongqing economic circle, measure and compare their research input and output efficiency, then compare and analyze the research efficiency of research-type sample universities within Chengdu-Chongqing economic circle, and conduct a projection study of non-DEA effective sample universities. The main conclusions are as follows: first, the average efficiency of scientific research in universities in Chengdu-Chongqing and other urban agglomerations in 2020 has slightly increased compared with that in 2016, but the gap between urban agglomerations is prominent, and the innovation level of scientific research in higher education institutions in urban agglomerations needs to be improved. Second, there is a mismatch between the themes of research, funding and human resources in research-oriented universities in the Chengdu-Chongqing economic circle. Third, there is considerable room for improvement in research efficiency, and the influence of scale on overall efficiency is weak. We found that excessive investment in scientific research in universities is the main reason for the non-effect.

Opportunities and challenges for China’s scientific journal publishing in the new era

<p indent="0mm">With the rapid growth of scientific research input and output in China, academic journals have attracted increasing attention as the records and communication of scientific research achievements. Combining literature research and discussion from the forum sponsored by the academic divisions of Chinese Academy of Sciences on Frontiers in Science and Technology with the theme of “scientific publishing in the new era”, this paper analyzes the current situation of China’s scientific journal publishing and the opportunities and challenges it faces, and puts forward suggestions and solutions for scientific journal development in China. Based on the analysis of the current situation and development trend of international scientific publishing, this paper reviews the scientific journal publishing in the open science environment from aspects of open access publishing of journals and papers, open peer review, open data, preprint platforms, and journal business models. It also discusses how new technologies promote the innovation and development of scientific publishing from aspects of digital publishing and communication, big data, blockchain technology, artificial intelligence, and interaction and integration based on various new technologies and media. In addition, this paper also briefly introduces the prediction by the International Association of Scientific, Technical and Medical Publishers for the development trend of academic publishing industry in the next <sc>3–5 years</sc> with the themes of “trust &amp; integrity”, “entering the AI era—creative humans &amp; smart machines”, “diversity in a multi-user environment”, “focus on the user—connect the dots”, and “let’s go upstream—seeking the source of trust and truth” from 2017 to 2021. This paper holds that compared with world-class scientific journals, China’s scientific journals lag behind in the ability to attract high-level research results, prevention and treatment of academic misconduct, brand reputation, and international influence. To rank among the world’s first-class scientific journals, China’s scientific journals must be in line with international standards in dealing with scientific research integrity, comply with the norms of international journals on academic integrity and publishing ethics, and improve their ability to deal with academic misconduct. Journal publishers should cooperate with the management department and the academic community to form an organic whole and jointly build a healthy academic ecosystem. With the rapid development of scientific research in China and a friendly publishing environment supported by policies to promote world-class journals, China’s scientific journals are facing unprecedented development opportunities. This paper puts forward suggestions and solutions for the development of China’s scientific journals in the new era as follows: (1) Pay attention to the development trend of open science and integrate into the development environment of open science; (2) strengthen international cooperation and seek continuous development in the cooperation; (3) innovate the concept of scientific publishing service and expand new publishing technologies and methods; (4) perfect the standards for publishing ethics and enhance the ability to deal with academic misconduct; (5) build high-level talent teams for scientific publishing and improve the scientific literacy of science communicators; (6) seek win-win social and market benefits and explore the sustainable model for scientific journal publishing in China.

Developing Statistical Modellings to Investigate the Internal Drivers for the Trend of Output Values in the Manufacturing Industry: Evidence from Chinese Enterprises

The manufacturing industry is an important pillar of the national economy. It is of vital importance to develop statistical modellings in order to quantify the relationship between potential internal drivers and the trend of output values in the manufacturing industry. However, only a few statistical modellings have been established to investigate such associations. This study developed the correlation coefficient model and generalized linear model (GLM) to measure the single and interactive effects of the internal drivers on the changes of the output values. For the GLM, different predictive variables were developed to fit into the dataset, and the performance of the models were compared using fitness parameters. Furthermore, an industry survey dataset for 1,180 manufacturing enterprises in 2020 was used to validate the models. The use of the GLM combining land area, number of employees, scientific research input, and labor productivity may have a great potential to bolster capacity in monitoring and predicting the trend of output values in the manufacture industry.

Digital medicines for adherence support: A conceptual framework and qualitative study of adherence among chronically ill patients.

Digital medicine programs (DMPs) are emerging technologies that use sensor-enabled medicine to detect when patients have taken their medication and then provide feedback about adherence. We use qualitative methods to understand how patients change their behavioral patterns while participating in a DMP intervention. An influence diagram outlining the factors hypothesized to affect adherence in DMPs constructed from prior scientific research and expert input was created. Subsequently, we conducted semi-structured interviews with 10 patients to see if their experience supported the relationships outlined in the model. We identified three pathways by which DMPs are likely to change behavior around medication adherence: (1) providing patients and providers with accurate, personalized information about adherence; (2) improving patient-provider interactions by structuring them around this information; and (3) facilitating routines and habits for medication use. Chronically ill patients often fail to adhere to drug regimens. Patients in a DMP intervention used the DMP-provided information to better understand drug efficacy and collaborated with their physician to develop adherence strategies. DMPs can promote medication adherence among patients who are willing to use them and may be most effective if physicians are active partners in the DMP.

Assessing the Static and Dynamic Efficiency of Scientific Research of HEIs China: Three Stage DEA–Malmquist Index Approach

Higher education institutions (HEIs) are the key to the economic and social development of a country. However, the recent advancements of higher education institutions’ universities in China have become a pivotal factor contributing to their swift growth. Considering the impact of the external environment, applying a three-stage data-envelopment analysis (DEA) and the Malmquist index method, we evaluated the static and dynamic efficiency of input–output data of scientific research produced by universities directly under the Ministry of Education in the period of 2010 to 2017. Results showed that the three stage DEA model is more accurate than the traditional DEA method for measuring the efficiency of scientific research input and universities’ output. The overall efficiency of universities’ scientific research activities increased at an average annual rate of 3.7% from 2010 to 2017. Further analysis showed that the optimization of the scale was the primary internal factor able to promote the efficiency of scientific research in universities. Technological progress slightly diminishes the efficiency of scientific research in universities, which should, therefore, take measures to improve pure technical efficiency to enlarge the scale of their scientific research according to the characteristics of scientific research efficiency. Such steps will strengthen internal motivation towards scientific research efficiency in universities.

Cultivating high-level innovative talents by integration of science and education in China: A strategic policy perspective

This study investigates how to cultivate high-level innovative relents by the integration of science and education in China from a strategic policy perspective. Specifically, why should scientifically research and education be integrated to cultivate innovative talents has been explored in this study. Theoretical analysis of the integration of scientific research and education to cultivate innovative talents has been offered, systematically. New challenges of the integration of scientific research and education to cultivate innovative talents include the historical issues of the dual-track development of scientific research and education system; institutional issues of the separation of research and education systems; resource problem of lacking complement between scientific research and educational resources and positioning problem of insufficient coordination between scientific research and educational input. In addition, suggestions on the strategic pathway of integrating scientific research and education to cultivate innovative talents have been examined in the last part.

Influencing Factors of Knowledge Cooperation in Urban Agglomeration on Yangtze River Delta from the Perspective of Innovation Network

Based on the perspective of innovation networks, an theoretical and empirical analysis of the influencing factors of the knowledge cooperation network of urban agglomeration on Yangtze River Delta (UA-YRD) in 2009-2013 and 2014-2018 was carried out using social network analysis. The analysis result shows that geographical distance, gap in the level of economic development, institutional proximity, gap in the level of scientific research output, and gap in the level of scientific research input are important factors affecting the knowledge cooperation network of UA-YRD, among which geographical distance, gap in the level of economic development and gap in the level of scientific research output have significant negative impacts on it, while institutional proximity and gap in the level of scientific research input have significant positive impacts on it. The analysis of this article will help to raise the level of knowledge cooperation in the Yangtze Delta, Improve the efficiency of collaborative innovation and improve the integrated development system and mechanism, which will also drive the development of the UA-YRD to a great extent.

Impact of marine industrial structure on environmental efficiency

Purpose Recently, China has been paying increasing attention to how to improve the efficiency of the marine environment and realize a green and sustainable development of the marine economy. Consequently, the industrial structure is crucial to improving efficiency. The purpose of this paper is to introduce environmental factors into the efficiency analysis framework and explore the relationship between marine industrial structure and marine environmental efficiency. Design/methodology/approach This paper uses marine economic data under the DEA-BBC model to measure the marine environmental efficiency of provinces and cities and classifies them by cluster analysis. Then, the marine industrial structure and marine environmental efficiency are studied by an econometric model with human capital, ownership structure, land economic development level, scientific research input and government intervention degree as control variables. Findings The overall level of marine environmental efficiency is relatively low in China, increasing and then decreasing over the research period. The rationalization of industrial structure and scientific research input have significant promoting effects on marine environmental efficiency, while the degree of government intervention has a significant inhibiting effect. The positive effect of human capital on efficiency depends on whether it can be successfully converted into productivity. The effects of industrial structure advancement, ownership structure and land economic development level of on the marine environmental efficiency are mixed. Originality/value The results provide a theoretical and decision-making basis for China to transform and upgrade its marine industrial structure and sustainably develop the marine economy.

Analysis on Innovation Efficiency of China Meteorological Science and Technology and Its Influencing Factors

Based on the meteorological statistics from 2014 to 2017, this paper adopts the DEA-Tobit Two Step method to estimate the innovation efficiency of China meteorological science and technology and then analyses its influencing factors. It is found that during 2014-2017, Beijing has been at the forefront in innovation efficiency of meteorological S&T, followed by Tianjin. Some other provinces and cities have a decline in technology efficiency. Therefore, pure technology inefficiency still remains a major problem faced by most provinces and cities. Meanwhile, it also reveals that innovation efficiency of meteorological S&T is significantly and positively impacted by scientific research input and academic structure, but without any significant linear interrelationship with economic development and government influence.

Improve the research management model and service platform to support the development of youth personnel in hospital

Objective To evaluate the role of optimized research management mode and service platform in promoting the development of scientific research and the construction of young personnel in our hospital. Methods Scientific research fund support and reward were strengthened, and project service platform was established to mobilize the youth personnel and accelerate their development. Results During 2015 and 2016, the quantity of approved projects and published papers increased, especially the quantity of published papers in core journals and SCI. Conclusions Since 2015, the hospital has gradually increased scientific research input for the youth personnel. Remarkable achievements were observed, which may ensure a sustainable development for scientific research of our hospital. Key words: Hospital; Scientific research management; Service platform; Young physician

The Supply-side Analysis and Countermeasures of Exuberant Phenomenon of Outbound Consumption at Present

In recent years, the exuberant phenomenon of Chinese residents leaving the country shopping has caused much attention in academic circles. Applying game theory, from the supply-side not the demand-side interpreting outbound consumption boom, it is the addition of brand value and reputation guarantee, as a result, the middle- and high-end consumers in our country are more willing to go abroad to purchase well-known foreign brand products, not to purchase domestic products with low prices, and not to favor the high domestic prices of foreign brands. Therefore, to guide the overseas consumption backflow of middle-and high-income families, we need to implement supply-side structural reform such as strengthening the brand construction of national enterprises, attaching importance to scientific research input and human capital accumulation.

Establishment of scientific research performance evaluation index system based on Delphi method and Multi-AHP for medical universities in western China developing areas

Objective Taking into account of the actual scientific research conducted at medical universities in Yunnan Province, Southwest China, to develop an appropriate evaluation index system of scientific research performance. Methods main methodologies and procedures adopted to develop the evaluation index system include literature analysis, Delphi method, Group Analytic Hierarchy Process and Expert authority calculation. Results The evaluation index system of scientific research performance consists of scientific research input index system and output index system. The scientific research input index system includes financial input and human resources input as two primary indicators.While the scientific research output index system is made up of two primary indicators, named quantitative output and qualitative output. There are another six second-level indicators, six third-level indicators and 37 fourth-level indicators to make up of the quantitative output index system. Calculation of the indicator weight will consider the natures of different units or departments, the mixed analysis of quantitative and qualitative methods, as well as one-vote veto decision were adopted to make sure classified assessment were actually implemented during the evaluation process. Conclusions The index system is suggested to be used for evaluating scientific research performance in different colleges or departments. Adopting such system can help the management of scientific research performances at both micro-and meso-levels.It may also inspire more researchers and research management personnel in a broader sense. Key words: Scientific research performance; Evaluation index system; Delphi; Multi-AHP

Practice and reflection on the performance evaluation index system of scientific research in a general hospital

Objective Implementing the scientific research performance evaluation indicator system constructed to evaluate the situation of scientific research performance conducted by two basic Departments during the 12th Five-Year period in a general hospital. To understand the practical applicability of the scientific evaluation index system, and also propose comments and suggestions based on the comparison between assessment score and actual research situation in the departments. Methods Based on the database of scientific research management information platform, collect related research data from two basic departments of the hospital in latest five years. Using SPSS software to conduct statistical analysis on the total score of the first and two indicators, as well as the specific indicators of the three indicators, according to the performance evaluation index system and the weight built by the hospital. Results The index system can basically reflect the general information of scientific research input and output in the department, however, some indicators cannot truly reflect the index importance and the differences between the index weight is not significant, so it is necessary to make amendment based on demonstration. Conclusions Hospital should dynamically update the index system to make them match the developing strategy of the hospital, also important to combine them with research stimulation to guarantee more scientific management and better service to the research development of hospitals. Key words: General hospital; Research performance evaluation; Index system; Practice

The study of the establishment of the evaluation system for the investment and produce of scientific research in a grade 3 and first-class hospital of Xinjiang

Objective To estabolish a scientific, objective, comprehensive and quantitative combined with qualitative evaluation indicator system for research input-output effeciency, which is applied especially for grade 3 and firt-class hospital in Xinjiang Uygur aotunomous region. Methods We analyzed the research input-output effeciency of one hospital. We performed three time questionaires to 25 experts who come from different fields, by using Delphi method and analytic hierarchy process. Based on screening estimation of experts, we determined the indicators, the weight and the standards of each indicator, the logic consistency of the above were tested, and the model of input-output ratio was set up. Results The response rate of three-time quesitonaires was above 85%. Authority coefficient of estimation indicators from experts was above 0.7. The kandall coefficient of concordace was between 0.179 and 0.442, P<0.01. We estabolished evaluation indicator system for research input-output effeciency composed of 5 grade I indicators, 12 grade II indicators and 28 grade III indicators. Conclusions This study result is reliable, the index system conform to the industry standard and regional characteristics. In order to improve the hospital performance level, increaseing investment in scientific research should be needed. Combined with scientific research input – output, the management should take measures to optimize the allocation of resources, broaden the way of project application fighting for money, pay attention to personnel training amd form a scientific research team Key words: Research input; research output; evaluation index system; Delphi-AHP Method

Evaluation of Chongqing municipal universities' scientific research performance

Objective To improve the utilization efficiency of scientific research resources and optimize the allocation of resources in universities on the basis of scientific research performance evaluation. Methods This article selects the data envelopment analysis study for twelve universities in Chongqing, using MaxDEA 6.0 software to get the results of effectiveness of universities scientific research performance. Results DMU6 and DMU8 are in a fully effective state, DMU4, DMU5, DMU10, DMU11 are in invalid state, the remaining eight universities are in effective or weak state. Conclusion There are only two universities in Chongqing ordinary higher institutions whose scientific research input and output are relatively reasonable. The rest universities need to make more or less improvement and most universities need to make a little change. Key words: Universities; Performance of scientific research; Data envelopment analysis; The distribution of resources

Identification and Analysis Restriction Factors of Low-Carbon Residential Industrialization Development

This paper summarized out of low-carbon residential industrialization development restriction factors through to organize literature, on this basis, using DEMATEL model to reveal the mutual influence relationship of factors quantitatively. The study result shows that: the failure to form scale economy effect, social participation consciousness is not strong lack of a complete industrial chain of housing industrialization, low-carbon technology innovation motivation and ability of enterprises is insufficient and lack of scientific research input are the key factors restricting the development of low-carbon buildings industrialization. Then putting forward some targeted countermeasures and suggestions based on the analysis result.