scholarly journals Approaches to assessing the level of innovation development in manufacturing industries

2020 ◽  
Vol 220 ◽  
pp. 01027
Author(s):  
Vitaly Makoveev ◽  
Liliya Mukhametova

Sustainable long-term development of the energy sector is impossible without a developed manufacturing industry and especially machine-building enterprises. The article offers a method for assessing the level of innovation development in the manufacturing industry and identifies the factors that have the greatest impact on the development of the process of creating and implementing innovations in this sector. A multi-factor regression model is constructed to determine the degree of influence of various socioeconomic factors on the level of development of innovative activity in manufacturing industries, as well as to develop proposals and recommendations for its activation.

2020 ◽  
Vol 220 ◽  
pp. 01048
Author(s):  
Vitaly Makoveev ◽  
Liliya Mukhametova

Sustainable long-term development of the energy sector is impossible without a developed manufacturing industry and especially machine-building enterprises. The article identifies the factors that have the greatest impact on the development of innovation in the manufacturing industry. A multi-factor regression model is constructed to determine the degree of influence of various socio-economic factors on the level of innovation development in manufacturing industries. An organizational and economic mechanism aimed at enhancing innovation in the manufacturing industry and increasing the competitiveness of the products of enterprises in this sector is proposed.


2020 ◽  
Vol 220 ◽  
pp. 01009
Author(s):  
Vitaly Makoveev ◽  
Liliya Mukhametova

Sustainable long-term development of the energy sector is impossible without a developed manufacturing industry and especially machine-building enterprises. The article considers the experience of developed and developing countries in the field of support and stimulation of innovative processes in industrial enterprises. It is concluded that one of the main roles in the activation of innovation processes in industry is played by state authorities and management.


2020 ◽  
Vol 220 ◽  
pp. 01038
Author(s):  
Vitaly Makoveev ◽  
Evgeny Mazilov ◽  
Irina Akhmetova

Sustainable long-term development of the energy sector is impossible without a developed manufacturing industry and especially machine-building enterprises. In this regard, the article based on the analysis of the works of domestic and foreign researchers developed and tested a method for assessing the level of development of innovation in the manufacturing industry, taking into account the volume of output, the degree of involvement of enterprises in the sector of innovation and labor productivity in the production of innovative products. An economic and mathematical model is constructed to determine the degree of influence of socio-economic factors on the level of development of innovative activities in the manufacturing industry.


2020 ◽  
Vol 8 (3) ◽  
pp. 1-5
Author(s):  
Ol'ga Saradzheva

. The article examines the negative aspects of the export-commodity model of economic growth during the integration of Russia into the international division of labor, when raw materials sources of financial well-being may be threatened, which will lead to the loss of the country's own economic security. At present, we are not talking about the loss of the industrial potential of the manufacturing industries by our country's economy, however, the prerequisites for such a decrease in industrial potential are becoming increasingly evident. The version of the mechanism for ensuring the economic security of Russia proposed in the article in the context of the implementation of the scenario of advanced development of the manufacturing industry creates the basis for further sustainable socio-economic development of the country in the long term.


2020 ◽  
Vol 1 (3) ◽  
pp. 55-62
Author(s):  
N. А. LEBEDEV ◽  

The article analyzes the structural guidelines for the modernization of the domestic agricultural machinery industry, which are formed in the aspect of a new development model; some types of machine-building products that are innovative in nature. Separate tasks of digitalization for the development of production of unmanned vehicles are considered. It is concluded that in order to seriously promote the structural modernization of agricultural machinery enterprises, it is necessary to give priority to the development strategy of enterprises, which should be based on clear development guidelines for the long-term period.


2021 ◽  
Vol 40 (4) ◽  
pp. 8477-8484
Author(s):  
Chengke Zhu ◽  
Junshan Wang

With the development of technology and artificial intelligence(AI), financial leasing is used frequently in China’s equipment manufacturing industries, especially after 2008, which attracts our attention. This paper focuses on the problem. A theoretical model is provided in the paper to explain the motivation that why financial leasing is used in equipment manufacturing industries. In this paper, we employ multi-level fuzzy linear regression model to analyze data of manufacturing equipment industry of China in order to discover impact between sales revenue and financial leasing. We also discover credit sale forecasting using this model. We discover that economic leasing has a constructive important effect on sales revenue in total samples, which is consistent with the theoretical framework. However, the results are different in sub-industries, which shows that economic leasing has a constructive and important effect on sales profits in some sub-industries, but some of them are not. Furthermore, we also find that asset characteristics has a substantial effect on financial leasing decision. The outcome demonstrates that the more precise the asset, the easier it can be leased.


2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 674.1-674
Author(s):  
C. C. Mok ◽  
C. S. Sin ◽  
K. C. Hau ◽  
T. H. Kwan

Background:The goals of treatment of lupus nephritis (LN) are to induce remission, retard the progression of chronic kidney disease, prevent organ complications and ultimately reduce mortality. Previous cohort studies of LN have mainly focused on the risk of mortality and development of end stage renal failure (ESRF) (renal survival). The cumulative frequency of LN patients who survive without organ damage, which correlates better with the balance between treatment efficacy and toxicity, as well as quality of life, has not been well studied.Objectives:To study the organ damage free survival and its predictive factors in patients with active LN.Methods:Consecutive patients who fulfilled ≥4 ACR/SLICC criteria for SLE and with biopsy proven active LN between 2003 and 2018 were retrospectivey analyzed. Those with organ damage before LN onset were excluded. Data on renal parameters and treatment regimens were collected. Complete renal response (CR) was defined as normalization of serum creatinine (SCr), urine P/Cr (uPCR) <0.5 and inactive urinary sediments. Partial renal response (PR) was defined as ≥50% reduction in uPCR and <25% increase in SCr. Organ damage of SLE was assessed by the ACR/SLICC damage index (SDI). The cumulative risk of having any organ damage or mortality since LN was studied by Kaplan-Meier’s analysis. Factors associated with a poor outcome were studied by a forward stepwise Cox regression model, with entry of covariates with p<0.05 and removal with p>0.10.Results:273 LN patients were identified but 64 were excluded (organ damage before LN onset). 211 LN patients were studied (92% women; age at SLE 30.4±13.5 years; SLE duration at LN 1.9±3.1years). 47 (22%) patients had nephrotic syndrome and 60 (29%) were hypertensive. Histological LN classes was: III/IV±V (75.1%), I/II (7.8%) and pure V (17.1%) (histologic activity and chronicity score 7.0±4.2 and 1.8±1.5, respectively). Induction regimens were: prednisolone (33.1±17.5mg/day) in combination with intravenous cyclophosphamide (CYC) (21.4%; 1.0±0.2g per pulse), oral CYC (8.6%; 96.4±37.8mg/day), azathioprine (AZA) (14.3%; 78.6±25.2mg/day), mycophenolate mofetil (MMF) (22.8%; 1.9±0.43g/day) and tacrolimus (TAC) (17.1%; 4.3±1.1mg/day). After a follow-up of 8.6±5.4 years, 94(45%) patient developed organ damage (SDI≥1) and 21(10%) patients died. The commonest organ damage was renal (36.3%) and musculoskeletal (17.9%), and the causes of death were: infection (38.1%), malignancy (19.0%), cardiovascular events (9.5%) and ESRF complications (9.5%). At last visit, 114 (55%) patients survived without any organ damage. The cumulative organ damage free survival at 5, 10 and 15 years after renal biopsy was 73.5%, 59.6% and 48.3%, respectively. The 5, 10 and 15-year renal survival rate were 95.2%, 92.0% and 84.1% respectively. In a Cox regression model, nephritic relapse (HR 3.72[1.78-7.77]), proteinuric relapse (HR 2.30[1.07-4.95]) and older age (HR 1.89[1.05-3.37]) were associated with either organ damage or mortality, whereas CR (HR 0.25[0.12-0.50]) at month 12 were associated with organ damage free survival. Baseline SCr, uPCR and histological LN classes were not significantly associated with a poor outcome. Among patients with class III/IV LN, the long-term organ damage free survival were not significantly different in users of MMF (reference) from CYC (IV/oral) (HR 1.45[0.76- 2.75]) or TAC (HR 1.03[0.26-1.62]) as induction therapy.Conclusion:Organ damage free survival is achieved in 55% of patients with active LN upon 9 years of follow-up. CYC/MMF/TAC based induction regimens did not differ for the long-term outcome of LN. Targeting complete renal response and preventing renal relapses remain important goals of LN treatment.Acknowledgments:NILDisclosure of Interests:None declared


1957 ◽  
Vol 17 (2) ◽  
pp. 207-223 ◽  
Author(s):  
Phyllis Deane

As part of a general inquiry into the economic growth of die United Kingdom, an attempt is being made to estimate long-term trends in output of individual industries over as long a period of time as the data allow. Throughout the eighteenth century wool was the major English manufacturing industry. It is the purpose of this article to consider the evidence of contemporary estimates of the value of the woolen manufacture, with a view to using them as a basis for an assessment of the broad trends in its output over this crucial period of Britain's industrial history.


2018 ◽  
Vol 10 (10) ◽  
pp. 3456 ◽  
Author(s):  
Peng Jiang ◽  
Yi-Chung Hu ◽  
Ghi-Feng Yen ◽  
Hang Jiang ◽  
Yu-Jing Chiu

As a crucial part of producer services, the logistics industry is highly dependent on the manufacturing industry. In general, the interactive development of the logistics and manufacturing industries is essential. Due to the existence of a certain degree of interdependence between any two factors, interaction between the two industries has produced a basis for measurement; identifying the key factors affecting the interaction between the manufacturing and logistics industries is a kind of decision problem in the field of multiple criteria decision making (MCDM). A hybrid MCDM method, DEMATEL-based ANP (DANP) is appropriate to solve this problem. However, DANP uses a direct influence matrix, which involves pairwise comparisons that may be more or less influenced by the respondents. Therefore, we propose a decision model, Grey DANP, which can automatically generate the direct influence matrix. Statistical data for the logistics and manufacturing industries in the China Statistical Yearbook (2006–2015) were used to identify the key factors for interaction between these two industries. The results showed that the key logistics criteria for interaction development are the total number of employees in the transport business, the volume of goods, and the total length of routes. The key manufacturing criteria for interaction development are the gross domestic product and the value added. Therefore, stakeholders should increase the number of employees in the transport industry and freight volumes. Also, the investment in infrastructure should be increased.


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