scholarly journals Analysis on Spatio-temporal Characteristics and Influencing Factors of Industrial Green Innovation Efficiency——From the Perspective of Innovation Value Chain

2021 ◽  
Author(s):  
Liyuan Zhang ◽  
Pengzhen Liu ◽  
Heather Tarbert
Keyword(s):  
Research And Development ◽  
Influencing Factors ◽  
Value Chain ◽  
High Efficiency ◽  
Transformation Efficiency ◽  
Negative Impact ◽  
Positive Impact ◽  
Science And Technology ◽  
Green Innovation ◽  
Two Stage

Green innovation has become an important combination of high-quality economic growth and sustainable development of ecological environment. In this paper, the super-efficiency network SBM model is used to measure the two-stage green innovation efficiency of industrial science and technology R&D and achievement transformation in 30 provinces and cities from 2009 to 2019, and exploratory Data Analysis (ESDA) and spatial econometric model are used to investigate the spatial-temporal evolution characteristics and influencing factors of green innovation efficiency. The results show that: firstly, the overall efficiency of industrial green innovation is low, and the efficiency of scientific research and development and achievement transformation has experienced three stages of "upward-declining-revitalized period". The low efficiency of achievement transformation is an important factor hiding the improvement of the efficiency of industrial green innovation. Secondly, The industrial green innovation efficiency gradually increases from northwest to southeast, forming a centralized "line" and "block" distribution. The high efficiency area is still concentrated in the eastern coastal region, and the balanced development trend is obvious in the central and western regions. Finally, openness has a positive impact on the two-stage green innovation efficiency; Industrial structure and government investment in science and technology have a positive impact on the efficiency of science and technology research and development, but have no significant effect on the efficiency of achievement transformation. Enterprise size has a positive effect on achievement transformation efficiency, but has no significant effect on R&D efficiency. Environmental regulation has a positive impact on R&D efficiency and a negative impact on achievement transformation efficiency.

scholarly journals Analysis on Spatio-Temporal Characteristics and Influencing Factors of Industrial Green Innovation Efficiency—From the Perspective of Innovation Value Chain

2021 ◽  
Vol 14 (1) ◽  
pp. 342
Author(s):  
Pengzhen Liu ◽  
Liyuan Zhang ◽  
Heather Tarbert ◽  
Ziyu Yan
Keyword(s):  
Influencing Factors ◽  
Value Chain ◽  
High Efficiency ◽  
Industrial Structure ◽  
Coastal Region ◽  
Green Innovation ◽  
Clear Trend ◽  
Temporal Characteristics ◽  
Spatio Temporal ◽  
The Government

Green innovation has become an important combination of high-quality economic growth and ecological sustainability. In this paper, the super-efficiency network SBM model was used to measure the two-stage green innovation efficiency of the industrial technology research and development (R&D) stage and achievement transformation stage in China (30 provinces and cities) from 2009 to 2019. The results show the following points. Firstly, in terms of temporal series, the efficiency of technology R&D and achievement transformation has experienced three stages of “upward-declining-revitalized period”. Secondly, in terms of spatial trend, the industrial green innovation efficiency gradually increases from northwest to southeast. The high-efficiency areas are still concentrated in the eastern coastal region, with a clear trend towards balanced development in the central and western regions. Finally, openness, industrial structure, government technical expenditures, enterprise scale, and environmental regulation all have different degrees of impact on the efficiency of green innovation in the two stages. Based on the above, this paper is helpful for the government to formulate laws and regulations and coordinate the level of regional economic development and clarify the spatio-temporal characteristics and influencing factors of the efficiency of green innovation.

scholarly journals Research on Green Innovation of the Great Changsha-Zhuzhou-Xiangtan City Group Based on Network

Land ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1198
Author(s):  
Lu Wang ◽  
Wenzhong Ye ◽  
Lingming Chen
Keyword(s):  
Network Structure ◽  
Negative Impact ◽  
Positive Impact ◽  
Government Support ◽  
Green Innovation ◽  
Urban Agglomerations ◽  
Network Scale ◽  
Low Efficiency ◽  
The Impact ◽  
City Group

This article aims to promote the high-quality development of the Great Changsha-Zhuzhou-Xiangtan City Group and improve the green innovation efficiency of urban agglomeration. This article takes green innovation in networked urban agglomerations as its research subject. Furthermore, it analyzes the impact of network structure characteristics such as network scale and network structure hole on green innovation in urban agglomerations. Moreover, this study uses the unexpected output SBM model to measure green innovation efficiency of the eight prefecture-level cities in the Great Changsha-Zhuzhou-Xiangtan City Group from 2012 to 2018 and analyzes its influencing factors using the panel Tobit model. The results show that the overall green innovation efficiency of the Great Changsha-Zhuzhou-Xiangtan City Group is stable. The distribution of urban green innovation efficiency in the region is characterized by urban gradient and mid-stream drive. In the process of networked innovation, economic development, which has a positive impact on green innovation, promotes the overall effectiveness of the network structure. The low efficiency of urban educational resources, which has a negative impact on green innovation, leads to the redundancy of a network scale. The unapparent advantage of industrial structures, which have a negative impact on the development of green innovation, leads to the insufficient depth and breadth of network openness. Lastly, government support and the level of infrastructure have no impact on green innovation.

scholarly journals INTEGRASI PENDIDIKAN KARAKTER DALAM PEMBELAJARAN INOVATIF DI SEKOLAH DASAR

2015 ◽  
Vol 1 (1) ◽  
pp. 29-38
Author(s):  
Abdul Mu’min Saud
Keyword(s):  
Character Education ◽  
Policy Development ◽  
Social Life ◽  
Information Science ◽  
Negative Impact ◽  
Positive Impact ◽  
Science And Technology ◽  
National Policy ◽  
The State ◽  
Negative Effects

The development of science, technology and information (science and technology) is very fast and globalization nowadays occur positive and negative impacts on people's lives, both individual and social life. The positive impact of the development of science and technology and the globalization of the labor market is opening opportunities in accordance with the needs of society and the state. While the negative impact is the changing values and norms of life that is often in contradiction with the norms and values of life that has existed in the community. In this context, education, especially primary education, plays a very important to preserve and protect the norms and positive life values that already exist in the society of a country from the negative effects of science and technology development and globalization. The education process is right and quality provided supplies and power to maintain the "identity" of the negative effects of globalization, not only for the interests of individual learners, but also for the benefit of society and the state. National policy development of the noble character education into the national education system is a strategic effort to equip future generations with the noble character of the nation as the identity of Indonesia in global competition. With the character education that is applied systematically and sustainably, a child will be emotionally intelligent. Emotional intelligence is important provision in preparing children to meet the future, because someone will be more easily and successfully face all kinds of life challenges, including the challenge to succeed academically.

scholarly journals How Small- and Medium-Sized Enterprise Innovation Affects Credit Accessibility: The Case of Vietnam

2020 ◽  
Vol 12 (22) ◽  
pp. 9559
Author(s):  
Phuong Anh Nguyen ◽  
Thuy Anh Tram Uong ◽  
Quang Dung Nguyen
Keyword(s):  
Research And Development ◽  
Financial Constraints ◽  
Negative Impact ◽  
Positive Impact ◽  
New Technology ◽  
New Product ◽  
Data Set ◽  
Policy Makers ◽  
Enterprise Innovation ◽  
The University

Nowadays, small- and medium-sized enterprises play crucial roles in both developed and developing countries. They create new employment, fulfill the market gap, contribute to Gross Domestic Product and boost the whole economy. However, small- and medium-sized enterprises face more financial constraints than large enterprises, which prevent them from growing and expanding their activities. This paper aims to investigate how the innovation of small- and medium-sized enterprises impacts on credit accessibility in Vietnam from 2005 to 2015, through five aspects of innovation: new products, new technology, improved existing products, research and development investment, and machine innovation. The data set consists of more than 4500 observations of small- and medium-sized enterprises in Vietnam. This data set is taken from a survey conducted within the framework of cooperation among UNU-WIDER, the University of Copenhagen and Vietnamese government agencies. Using panel regression model, we found out that three out of five innovation factors significantly impact on credit accessibility. More specifically, research and development investment and new product have negative impact on credit accessibility; whereas new technology has positive impact on credit accessibility. These findings are useful for firm managers, banks and policy makers to help small- and medium-sized enterprises overcome financial constraints through innovation aspects.

scholarly journals An Integrated Measurement of the Efficiency of China’s Industrial Circular Economy and Associated Influencing Factors

Mathematics ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. 1610
Author(s):  
Chenyu Lu ◽  
Yang Zhang ◽  
Hengji Li ◽  
Zilong Zhang ◽  
Wei Cheng ◽  
...  
Keyword(s):  
Spatial Analysis ◽  
Influencing Factors ◽  
Circular Economy ◽  
Negative Impact ◽  
Positive Impact ◽  
Eastern Region ◽  
Industrial Transformation ◽  
Starting Point ◽  
Autonomous Regions ◽  
The Impact

Since the 1990s, the notion of a circular economy has been developing globally; countries all over the world have been considering the development of a circular economy as an important means of achieving sustainable development. As the development of an industrial circular economy can help promote the efficient recycling of resources, it is an important starting point for industrial transformation and upgrading, and represents a key factor that will lead to the development of a circular economy in China. China’s varying provinces (municipalities and autonomous regions) have successively implemented circular economy practices in the industrial field. The research object of the present study is 30 provinces, autonomous regions, and municipalities directly under the control of central government (Hong Kong, Macao, Taiwan, and Tibet were not included owing to lack of data). Through the integration of geographic information systems (GIS) technology and the spatial analysis model, data envelopment analysis (DEA) model, and Tobit regression model, a measure model and index system are constructed, in order to carry out a multi-angle comprehensive study integrating the efficiency evaluation, spatial analysis, and influencing factors analysis of China’s industrial circular economy. It is an important innovation, and an important contribution to the existing research system. The conclusions are as follows: (1) In general, the overall level of China’s industrial circular economy’s efficiency was not high, and there was still a lot of room for improvement. The integrated efficiency of the industrial circular economy in the eastern region was relatively high, followed by that in the western region, and the lowest level in the middle region. (2) The efficiency of China’s industrial circular economy displayed obvious spatial aggregation characteristics at the provincial level, including clear spatial dependence and spatial heterogeneity. High-value aggregation areas were mainly distributed in the eastern coastal areas, and low-value aggregation areas were concentrated and contiguously distributed in the middle and western inland areas. (3) The four elements of economic level, openness to the outside, government regulation, and industrialization aggregation each impose a significant positive impact on the efficiency of China’s industrial circular economy, which can promote its efficiency. The level of industrialization exerts a significant negative impact on the efficiency of the industrial circular economy, which hampers its improvement. The impact of technological innovation on the efficiency of the industrial circular economy is not statistically significant.

U.InovAcelerator

2019 ◽  
pp. 377-394
Author(s):  
Fábio Goncalves ◽  
Maria Manuela Gomes de Azevedo Pinto ◽  
Alexandra Xavier
Keyword(s):  
Knowledge Transfer ◽  
Research And Development ◽  
Information Management ◽  
Value Chain ◽  
Science And Technology ◽  
Management Approach ◽  
Transfer Of Knowledge ◽  
Academic Context ◽  
The Creation ◽  
The University

Following the reflection around the emergence of “research university” in the context of the slow but progressive increase in value of science and technology and research and development in Portugal, a study applied to the knowledge transfer and the process of innovation in the university, in the context of a master dissertation in information science (IS), study area of information management, is presented. The university is one of the most important institutions in the context of the national innovation system (SNI), being part of its mission the creation and transfer of knowledge. At the University of Porto (U.Porto), projects, such as the University of Porto Innovation unit (U.Porto Inovação) and the Science and Technology Park of the University of Porto (UPTEC) seek to support the university's innovation value chain, promoting the reinforcement and solidification of knowledge transfer and of the relations between the university and companies, as well as the promotion and support to the creation of companies with a technological, scientific, and creative base, and the attraction of numerous innovation centers of national and international companies. This chapter points out an informational perspective on I&D+i (research and development and innovation) and entrepreneurship, based on the systemic theory and the quadripolar method, as theoretical and methodological guidance tools, and an information management/knowledge management approach of innovation models for the knowledge economy, the national and international referents, and corresponding set of indicators. An exploratory study, which allowed the identification of internal and external agents, the resources, the relations between actors and institutions, the processes and flows, and the main inputs and outputs, is presented. The most relevant result is embodied in a model of innovation indicators in an academic context and applied to the University of Porto.

scholarly journals Influencing Factors of Children Physical Activity in Family

2021 ◽  
Author(s):  
Jie Cai ◽  
Yaping Zhao ◽  
Jing Wang
Keyword(s):  
Physical Activity ◽  
Influencing Factors ◽  
Negative Impact ◽  
Positive Impact ◽  
Significant Positive Effect ◽  
Perceived Benefits ◽  
Perceived Risks ◽  
Sports Club ◽  
Significant Negative Impact ◽  
Positive Effect

Abstract Children physical activity is an important guarantee for children's physical and mental health. Understanding the relevant influencing factors of children physical activity in family is related to the healthy growth of children and the happy life of families. Based on social exchange theory and the structural equation model, this study investigated the influencing factors of children physical activity in family. The results showed that government had a significant negative impact on parents’ perceived risks. Community has a significant positive effect on parents’ perceived benefits and a significant negative effect on parents’ perceived risks. Kindergarten has a significant positive effect on parents’ perceived benefits, but has no significant effect on the parents’ perceived risks. Children sports club has a significant positive effect on parents’ perceived benefits. Parents’ perceived benefits has a significant positive impact on children physical activity in family, while perceived risks has a significant negative impact. Based on this, the government should play a leading role in the development of children physical activity in family. Community provides supplementary support. Kindergarten is the key point of developing children physical activity in family. Children sports club is the auxiliary force of children physical activity in family.

scholarly journals Research on Regional Differences and Influencing Factors of Energy Utilization Efficiency in China

2021 ◽  
Vol 2 (3) ◽  
pp. 65-69
Author(s):  
Yunpeng Wang
Keyword(s):  
Economic Growth ◽  
Energy Efficiency ◽  
Influencing Factors ◽  
Energy Use ◽  
Negative Impact ◽  
Positive Impact ◽  
Energy Utilization ◽  
Western Region ◽  
Eastern Region ◽  
The Western Region

Energy, as one of the important input factors in modern economic growth, plays a decisive role in the economic growth of all countries in the world. Use Moran I index and fixed effect model to measure the degree of spatial correlation and spatial difference between regions and analyze the influencing factors of energy efficiency, The results show that the energy efficiency of various provinces is spatially related, and the spatial distribution tends to be spatially concentrated; the per capita GDP has a significantly greater impact on the energy efficiency of the eastern region than it has on the western region; foreign direct investment (FDL) has an impact on the energy use of the eastern region There is a negative impact on efficiency and a positive impact on the efficiency of energy utilization in the western region; the number of patent grants has a significantly greater effect on the improvement of energy efficiency in the western region than in the eastern region; the increase in the proportion of the secondary industry has a positive impact on the energy use efficiency in the eastern region There is a positive impact and a negative impact on the energy efficiency of the western region.

scholarly journals Prevalence of Sub-health Status among College Students in Guangzhou Baiyun Technician College Business during the Coronavirus Pandemic

2020 ◽  
Author(s):  
Yanqi Liao ◽  
Ming-Ming Li ◽  
Wan-Xian Lu ◽  
Yan-Bin Pan ◽  
Jian-Rong Gong ◽  
...  
Keyword(s):  
College Students ◽  
Health Status ◽  
Influencing Factors ◽  
Online Survey ◽  
Negative Impact ◽  
Positive Impact ◽  
Linear Regression Analysis ◽  
Disease Status ◽  
Measurement Scale ◽  
Health Measurement

Abstract Background: Sub-health status (SHS) is an intermediate status between health and disease. We aimed to investigate the prevalence of sub-health status among college students during the coronavirus disease (COVID-19) pandemic and analyze its influencing factors in order to provide basic information to increase the health level of college students. Methods: College students were selected as subjects from Guangzhou Baiyun Technician College Business using convenience sampling. The inclusion criteria was informed consent, current college students who voluntarily participated in this survey. Exclusion criteria were students with chronic diseases or mental disorders. General data questionnaire, daily lifestyle questionnaire, and SHS measurement scale were used to survey college students. The SHS measurement scale consists of three subscales covering the physiological (1-14 items), psychological (16-27 items), and social (29-37 items) dimensions, with 39 items in total. The items 15, 28, 38 and 39 were used for the overall evaluation of the health status within each dimension and would not be taken into account for the score rating. A commonly used 5-point Likert scale was developed to incorporate the positive items, including questions 1-3, 13-19, and 26-39 with a scaled score equal to the raw score at 1-5; while negative items including questions 4-12 and 20-25 with a scaled score equal to 6 minus the raw score. For each subscale, the sum of all item scores was the raw score. The total raw score was calculated as the sum of raw scores derived from all 3 sub-scales. For any individual dimension, a lower score indicated higher severity of SHS. For sub-scales and the whole scale, raw scores were converted into percentile scores for statistical analysis. Converted score = (raw score - minimum theoretical score) / (maximum theoretical score – minimum theoretical score) × 100. The highest and lowest converted scores of the three subscales were 0 and 100 respectively. In this study, analysis of sub-health was performed using converted scores for all subscales and the whole scale. Based on the sub-health measurement scale, the health condition of subjects would be assessed as disease status (scored < 54), SHS (scored 54 to 79) and health status. From March 6 to 16, 2020, an online survey was conducted via wjx.cn (an online platform available for questionnaire sources). A total of 16,163 students filled out the questionnaire. Results: During the COVID-19 pandemic, the detected prevalence of sub-health among college students was 64.4%.the total SHS score was 73.356 ± 11.115 points, the physiological SHS score was 81.284 ± 11.034 points, the psychological SHS score was 68.691 ± 12.559 points, and the social SHS score was 67.242 ± 17.112 points. Multiple linear regression analysis showed that eating irregular meals, exercising fewer times per week, sleeping fewer hours per night, sleeping after 11 PM more often, spending more time on electronic devices, exercising for fewer minutes each time, and skipping breakfast had the significant negative impact on the SHS scores of college students during the COVID-19 pandemic (P<0.05), while being the only child had a significant positive impact on the SHS scores of college students during the COVID-19 pandemic (P<0.05). Conclusions: During the COVID-19 pandemic, the detected prevalence of sub-health was high among college students. Society and schools should pay more attention to the health of college students during the COVID-19 pandemic and take pertinence action to solve the problem base on influencing factors.

scholarly journals Research on the Efficiency of Green Technology Innovation in China’s Provincial High-End Manufacturing Industry Based on the RAGA-PP-SFA Model

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Tuochen Li ◽  
Lei Liang ◽  
Dongri Han
Keyword(s):  
Environmental Regulation ◽  
Manufacturing Industry ◽  
High Efficiency ◽  
Technology Innovation ◽  
Negative Impact ◽  
Positive Impact ◽  
Green Technology ◽  
Manufacturing Industries ◽  
The West ◽  
Traditional Technology

This study offers a RAGA-PP-SFA model to measure green technology’s innovation efficiency in the high-end manufacturing industry. The study’s aim is to solve the shortcomings of traditional SFA methods that are unable to improve multi-output efficiency. The RAGA-PP-SFA model presented here is based on the multi-emission and multi-output characteristics of high-end manufacturing innovation activities. Using panel data from 2010 to 2015 on China's high-end manufacturing industry and considering factors such as environmental regulation, government subsidy, and market maturity, this paper empirically examines and compares the efficiency of green technology innovation versus traditional technology innovation, as well as regional heterogeneity in China's high-end manufacturing industry. The study ultimately found a low level of green technology innovation efficiency in China’s high-end manufacturing industry. However, an overall rising trend shows that the green development of China's high-end manufacturing industry has achieved remarkable results. Green technology innovation efficiency in high-end manufacturing industries across various regions was generally lower than the efficiency of traditional technology innovation. Both types of efficiency showed a pattern of “high in the east and low in the middle and in the west”. High-high efficiency is primarily found in the east, whereas the west is characterized by low-low efficiency. There are significant differences between regions, pointing to an equal rate of development. Government subsidies and enterprise scale had a significant negative impact on green technology innovation efficiency in regional high-end manufacturing industries, while market maturity and industrial agglomeration had a significant positive impact. Based on the study’s findings, environmental regulation and openness to the outside world play insignificant roles in green technology innovation efficiency.

Sign in / Sign up

Export Citation Format

Share Document