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 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 Pengembangan Kedelai di Sawah Irigasi Pantura Jawa Barat

2016 ◽  
Vol 16 (1) ◽  
pp. 9
Author(s):  
Wayan Sudana
Keyword(s):  
Influencing Factors ◽  
Coastal Region ◽  
The Other ◽  
Farm Income ◽  
Good Seed ◽  
Rural Employment ◽  
Seed Availability ◽  
The Government ◽  
Area Expansion ◽  
Further Development

<p><strong>English</strong><br />Soybean consumption has grown rapidly, but its production increased at a much lower rate, and as a result its demand can only be met by import. On the other hand, the irrigated land most suitable for soybean development is still in a large potential. To utilize the resource, the government made a special effort through intensification and area expansion program as well. The irrigated lowland at West Java northern coastal region is one of strategic opportunities to boost soybean production based on location, accessibility and land suitability. Soybean is usually produced in the second dry season (July-September), and it is expected to increase farm income, to create rural employment opportunity especially for landless farmer. Some influencing factors for further development are among others good seed availability, irrigation and competition of labor used.</p><p> </p><p><strong>Indonesian</strong><br />Pertumbuhan konsumsi kedelai dari tahun ke tahun terus mengalami peningkatan, sehingga mengakibatkan ketidakseimbangan pertumbuhan konsumsi dan produksi kedelai dalam negeri. Untuk menutupi kekurangan konsumsi dalam negeri terpaksa dilakukan impor. Di lain pihak potensi lahan yang cocok untuk pengembangan kedelai ini masih cukup besar. Untuk memanfaatkan potensi sumberdaya lahan ini pemerintah berusaha melalui berbagai upaya khusus baik melalui intensifikasi maupun ekstensifikasi. Sawah irigasi teknis di Pantura Jawa Barat merupakan salahsatu peluang pengembangan kedelai yang sangat strategis bila dilihat dari letak, aksessibilitas dan kesesuaian bio-fisik lahan. Pengembangan kedelai di lahan ini pada MK II (Juli - September) disamping dapat meningkatkan penerimaan usahatani juga membuka peluang kesempatan kerja bagi buruhtani di pedesaan. Untuk pengembangan selanjutnya faktor yang perlu diperhatikan untuk menunjang keberhasilan program ini antara lain kelembagaan penyediaan benih bermutu, pengaturan air serta persaingan penggunaan tenaga kerja.</p>

scholarly journals Analysis on the influencing factors of industrial structure upgrading in Northeast China

2021 ◽  
Vol 292 ◽  
pp. 03034
Author(s):  
Dapeng Dong ◽  
Yan Xu ◽  
Guiyan Zhao ◽  
Yihui Qi
Keyword(s):  
Quantile Regression ◽  
Influencing Factors ◽  
Northeast China ◽  
Industrial Structure ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Effect Model ◽  
The Government ◽  
Quantile Regression Method ◽  
Industrial Structure Upgrading

Based on the panel data of 34 cities in Northeast China, this paper uses fixed-effect model and quantile regression method to empirically test the influencing factors of industrial structure upgrading. The results show that the government has led the upgrading of the industrial structure in Northeast China, economic growth and investment in fixed assets has inhibitory effect on industrial structure upgrade, the level of opening to the outside world, the financial sector development and the increase of human capital in the northeast has obvious role in promoting industrial structure upgrade. The quantile regression results show that the coefficient of each factor are basically consistent with the estimated results of ordinary panel fixed effect model, which further verifies the robustness of the research conclusions in this paper.

scholarly journals Analysis of Spatial-Temporal Characteristics of the PM2.5 Concentrations in Weifang City, China

2018 ◽  
Vol 10 (9) ◽  
pp. 2960 ◽  
Author(s):  
Yixiao Li ◽  
Zhaoxin Dai ◽  
Xianlin Liu
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Influencing Factors ◽  
Human Activities ◽  
Contemporary Society ◽  
Spatial Characteristics ◽  
Temporal Characteristics ◽  
Temperature And Precipitation ◽  
Hourly Data ◽  
The Government

Air pollution, which accompanies industrial progression and urbanization, has become an urgent issue to address in contemporary society. As a result, our understanding and continued study of the spatial-temporal characteristics of a major pollutant, defined as 2.5-micron or less particulate matter (PM2.5), as well as the development of related approaches to improve the environment, has become vital. This paper studies the characteristics of yearly, quarterly, monthly, daily, and hourly PM2.5 concentrations, and discusses the influencing factors based on the hourly data of nationally controlled and provincially controlled monitoring stations, from 2012 to 2016, in Weifang City. The main conclusion of this study is that the annual PM2.5 concentrations reached a peak in 2013. With efficient aid from the government, this value has decreased annually and has high spatial characteristics in the northwest and low spatial characteristics in the southeast. Second, the seasonal and monthly PM2.5 concentrations form a U-shaped trend, meaning that the concentration is high in the summer and low in the winter. These trends are highly relevant to the factors of plantation, humidity, temperature, and precipitation. Third, within a week, higher PM2.5 concentrations appear on Mondays and Saturdays, whereas the lowest concentration occurs on Wednesdays. It can be inferred that PM2.5 concentrations tend to be highly dependent on human activities and living habits. Lastly, there are hourly discrepancies within the peaks and troughs depending on the month, and the overall daytime PM2.5 concentrations and reductive rates are higher in the daytime than in the nighttime.

Spatio-temporal characteristics of urban green growth level and its influencing factors in Shaanxi province

2022 ◽  
Vol 37 (1) ◽  
pp. 200
Author(s):  
Yu-feng LIU ◽  
Zhi-hua YUAN ◽  
Ling-xia GUO ◽  
Jian-min FENG ◽  
Wei KONG ◽  
...  
Keyword(s):  
Influencing Factors ◽  
Shaanxi Province ◽  
Green Growth ◽  
Urban Green ◽  
Temporal Characteristics ◽  
Spatio Temporal

scholarly journals A Multimethodology Contractor Assessment Model for Facilitating Green Innovation: The View of Energy and Environmental Protection

2013 ◽  
Vol 2013 ◽  
pp. 1-14 ◽  
Author(s):  
Sung-Lin Hsueh ◽  
Min-Ren Yan
Keyword(s):  
Competitive Advantage ◽  
Environmental Protection ◽  
Industrial Structure ◽  
Assessment Tool ◽  
Business Environment ◽  
Assessment Model ◽  
Green Innovation ◽  
Analytic Hierarchy ◽  
Extrinsic Factors ◽  
The Government

The trends of the green supply chain are attributed to pressures from the environment and from customers. Green innovation is a practice for creating competitive advantage in sustainable development. To keep up with the changing business environment, the construction industry needs an appropriate assessment tool to examine the intrinsic and extrinsic effects regarding corporate competitive advantage. From the viewpoint of energy and environmental protection, this study combines four scientific methodologies to develop an assessment model for the green innovation of contractors. System dynamics can be used to estimate the future trends for the overall industrial structure and is useful in predicting competitive advantage in the industry. The analytic hierarchy process (AHP) and utility theory focus on the customer’s attitude toward risk and are useful for comprehending changes in objective requirements in the environment. Fuzzy logic can simplify complicated intrinsic and extrinsic factors and express them with a number or ratio that is easy to understand. The proposed assessment model can be used as a reference to guide the government in examining the public constructions that qualified green contractors participate in. Additionally, the assessment model serves an indicator of relative competitiveness that can help the general contractor and subcontractor to evaluate themselves and further green innovations.

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