Research on the Investment Management of Agricultural Machinery Based SPSS

2014 ◽  
Vol 687-691 ◽  
pp. 5177-5180
Author(s):  
Yun Peng Duan ◽  
He Pan ◽  
Ying Zhang ◽  
Tai Hao Li
Keyword(s):  
Data Model ◽  
Impact Factors ◽  
Investment Behavior ◽  
Main Body ◽  
Theory Analysis ◽  
Agricultural Modernization ◽  
Construction Design ◽  
Agricultural Mechanization ◽  
The Impact ◽  
The Empirical Analysis

By means of questionnaires, the construction design of Logistic data model to analyze the impact factors of farmers' participation in agricultural mechanization investment behavior to verify the theory analysis using SPSS method of data. According to the research and the empirical analysis results show that, at present, the investment of agricultural mechanization is the main means for the development of agricultural modernization; farmers have become the main body of agricultural mechanization investment. Dongliao County agricultural mechanization development present situation, puts forward the main countermeasures of county level of agricultural mechanization development, and make the development of agricultural mechanization effective solutions to provide decision-making reference.

Construction of Rural Financial System Based on the Concept of Low Carbon Economy

2014 ◽  
Vol 687-691 ◽  
pp. 4478-4481 ◽  
Author(s):  
Lei Yu
Keyword(s):  
Carbon Emissions ◽  
Agricultural Production ◽  
Influence Factors ◽  
Impact Factors ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Development Path ◽  
The Impact ◽  
The Empirical Analysis ◽  
Carbon Economy

Based on rural as research object, this paper mainly combines the local rural development present situation to measure rural carbon emissions, and with the help of Kaya model respectively. The rural residents' energy consumption and carbon emissions are generated by the impact factors of agricultural production LMDI decomposition. And it established the cointegration model of influence factors of the carbon in the empirical analysis. It seek a accord with the actual situation of rural low carbon economy development path.

scholarly journals Trade Credit as a Sustainable Resource during an SME’s Life Cycle

2019 ◽  
Vol 11 (3) ◽  
pp. 670 ◽  
Author(s):  
Francisco-Javier Canto-Cuevas ◽  
María-José Palacín-Sánchez ◽  
Filippo Di Pietro
Keyword(s):  
Life Cycle ◽  
Data Model ◽  
Fixed Effects ◽  
Trade Credit ◽  
Financing Decisions ◽  
Sustainable Economic Growth ◽  
The Impact ◽  
The Empirical Analysis ◽  
Major Impediment

Inadequate access to finance for small and medium-sized enterprises (SMEs) can present a major impediment to SMEs’ contribution towards driving sustainable economic growth. The aim of this article is to investigate the role of life cycle on SME financing decisions while focusing on trade credit. To this end, we study whether trade credit and its firm-factor determinants differ depending on the stage of life cycle of the SMEs. For the empirical analysis, a sample is employed of manufacturing SMEs operating in 12 European Union countries over the period 2008–2014 and a panel data model with fixed effects is applied. We find that the business life cycle influences trade credit and that this influence is stronger in young firms, although this relation is non-linear across the firms’ life cycle. We further show that the impact of firm-factor determinants on trade credit differs across the business life cycle in terms of magnitude levels. Our results demonstrate that the business life cycle matters when analysing trade credit, and it should therefore be considered when managers and policymakers strive to solve the financial problems of an SME and to consequently incorporate the SME into the sustainable economy.

An Analyse of Components and Impact Factors Related to Spent Fuel Transportation Plans

2010 ◽  
Author(s):  
SangWon Shin ◽  
JaMin Lee ◽  
SuHong Lee ◽  
ChangYeal Baeg ◽  
JeongHyoun Yoon
Keyword(s):  
Data Model ◽  
Impact Factors ◽  
Simulation Tool ◽  
Spent Fuel ◽  
Core Technology ◽  
Transport Volume ◽  
Conceptual Data ◽  
Interim Storage ◽  
The Impact ◽  
Transportation Plan

The simulation tool of spent fuel transportation plan is being developed to support the development of core technology for transporting and storing spent fuel developed by the Korea Radioactive Waste Management Corporation (KRMC). So we extracted the major activities involved in spent fuel transport — such as setting-up a transport volume, infrastructure, processes and systems. And then we analyzed the components and properties of each activity. The impact factors related to spent fuel transport were determined to be maximum loading capacity of the INF ship and interim storage facility location, and it was around these that the preliminary scenario was generated. This will be used as a conceptual data model for the development of a simulation tool for spent fuel transportation plans.

scholarly journals MODELLING AND VISUALIZING KNOWLEDGE ON THE REFERENCE SYSTEM AND VARIATIONS BASED ON THE MODEL OF PGE – PRODUCT GENERATION ENGINEERING FOR DECISION SUPPORT

2021 ◽  
Vol 1 ◽  
pp. 2167-2176
Author(s):  
Felix Pfaff ◽  
Simon Rapp ◽  
Albert Albers
Keyword(s):  
Data Model ◽  
Reference System ◽  
Technical Information ◽  
Impact Factors ◽  
Innovation Potential ◽  
Electric Car ◽  
Product Generation ◽  
Digital Methods ◽  
Entity Relationship ◽  
The Impact

AbstractIn 2019, Dyson had to cancel its ambitious electric car project after having already 500 Million pounds spent. This example shows how difficult it is to assess the consequences of decisions on development targets as cost, risk, and innovation potential. Knowledge about references, variation types and their impact on development targets can help to increase the maturity of the decision basis. The model of PGE - product generation engineering describes these interrelations using the reference system. This contribution deals with the question of how knowledge about the impact of variation types and characteristics of reference system elements on new product generations can be made usable through modelling and visualization. Therefore, characteristics of reference system elements and their impacts on common development targets are collected through literature research. To process this knowledge base in technical information systems, an Entity-Relationship data model is developed. Through the implementation of a VR visualization, the data model is validated and a first visualisation approach is shown. The findings of this work can be used to systematise research on impact factors in PGE and to develop further digital methods.

The Impact of Anglicizing Former German-Language Psychology Journals on Authorship and Citation Frequencies

2012 ◽  
Vol 17 (3) ◽  
pp. 190-198 ◽  
Author(s):  
Günter Krampen ◽  
Thomas Huckert ◽  
Gabriel Schui
Keyword(s):  
Side Effects ◽  
English Language ◽  
General Trend ◽  
Native Language ◽  
Impact Factors ◽  
German Language ◽  
Journal Articles ◽  
Number Of Citations ◽  
The Impact ◽  
Number Of Authors

Exemplary for other than English-language psychology journals, the impact of recent Anglicization of five former German-language psychology journals on (1) authorship (nationality, i.e., native language, and number of authors, i.e., single or multiple authorships), (2) formal characteristics of the journal (number of articles per volume and length of articles), and (3) number of citations of the articles in other journal articles, the language of the citing publications, and the impact factors (IF) is analyzed. Scientometric data on these variables are gathered for all articles published in the four years before anglicizing and in the four years after anglicizing the same journal. Results reveal rather quick changes: Citations per year since original articles’ publication increase significantly, and the IF of the journals go up markedly. Frequencies of citing in German-language journals decrease, citing in English-language journals increase significantly after the Anglicization of former German-language psychology journals, and there is a general trend of increasing citations in other languages as well. Side effects of anglicizing former German-language psychology journals include the publication of shorter papers, their availability to a more international authorship, and a slight, but significant increase in multiple authorships.

ICT SMEs, Performance, Absorptive Capacity and Transformative Capacity

2019 ◽  
Vol 118 (3) ◽  
pp. 178-188
Author(s):  
Yeon-Sung Cho ◽  
Kyung-Il Khoe
Keyword(s):  
Firm Performance ◽  
Market Orientation ◽  
Empirical Analysis ◽  
Absorptive Capacity ◽  
Latent Variables ◽  
Equation Modeling ◽  
Transformative Capacity ◽  
The Impact ◽  
The Empirical Analysis ◽  
Innovative Capacity

This study intends to integrate the relationship of market orientation, innovative capacity and firm performance to Information and Communication Technology(ICT) SMEs. The purpose of this study is to identify the role of absorptive capacity and transformative capacity that affect the performance of ICT SMEs. Hypotheses were established between five latent variables. A total of six hypotheses were established including the moderated effects of absorptive capacity and transformative capacity. Of the data collected after the survey, 112 valid surveys were selected as the final sample, except for 17 questionnaires with high non - response and insincere response. The empirical analysis of this study used smartpls3.0, Partial Least Squares (PLS), a variance-based structural equation modeling. The empirical analysis of this study revealed that the impact of market orientation on innovative capacity was significant. Moreover, the innovative capacity had a positive effect on the performance of ICT SMEs. In addition, the absorptive activity had a positive moderated effect between the market orientation and the innovative capacity. On the other hand, the transformative capacity showed a positive moderated effect in relation to innovative capacity and firm performance. Our empirical results have demonstrated the importance of knowledge based capacity in the ICT SMEs.

Capital Structure and Earnings per Share: An Empirical Analysis of Indian Corporate Sector

2015 ◽  
Vol 5 (3) ◽  
Author(s):  
Harvinder Singh Mand ◽  
Manjit Singh
Keyword(s):  
Capital Structure ◽  
Empirical Analysis ◽  
Corporate Sector ◽  
Independent Variables ◽  
Earnings Per Share ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Impact ◽  
The Relationship ◽  
The Empirical Analysis

This paper intends to measure the impact of capital structure on EPS (earnings per share) in Indian corporate sector. Fifteen control variables along with capital structure have been selected to know their impact on EPS. Panel data regression has been applied to establish the relationship among dependent and independent variables. It is found from the empirical analysis that the relation of capital structure with EPS has been statistically insignificant in Indian corporate sector among all specific industries except telecommunication industry. The results are consistent with Modigliani-Miller approach.

scholarly journals The Impact of Top Management’s Support on the Collaboration of Green Supply Chain Participants and Environmental Performance

2020 ◽  
Vol 12 (21) ◽  
pp. 9090
Author(s):  
Jungeun Lee ◽  
Hye-Young Joo
Keyword(s):  
Supply Chain ◽  
Empirical Analysis ◽  
Environmental Performance ◽  
Green Supply Chain ◽  
Top Management ◽  
Direct Impact ◽  
Theoretical Mechanism ◽  
The Impact ◽  
The Empirical Analysis

The purpose of this study is to determine whether the support of top management significantly improves the level of environmental collaboration with participating companies upstream and downstream of the green supply chain and the impact on environmental performance. The results of the empirical analysis of 301 companies that are establishing a green supply chain are as follows. First, top management’s support positively affects the level of collaboration with suppliers and customers in the green supply chain. Secondly, support from top management has a direct impact on the company’s environmental performance. Thirdly, the environmental collaboration of participating companies partially plays a mediation role between the support of top management and the environmental performance. This study has significance in that it analyzes the theoretical mechanism of top management’s support for environmental collaboration with participating companies, leading to environmental performance, and draws implications.

scholarly journals Exploring Factors Influencing Scenarios Evolution of Waste NIMBY Crisis: Analysis of Typical Cases in China

2021 ◽  
Vol 18 (4) ◽  
pp. 2006
Author(s):  
Ling He ◽  
Qing Yang ◽  
Xingxing Liu ◽  
Lingmei Fu ◽  
Jinmei Wang
Keyword(s):  
Network Theory ◽  
Development Process ◽  
Dynamic Bayesian Network ◽  
Impact Factors ◽  
Social Stability ◽  
Ground Theory ◽  
Evolution Path ◽  
Dynamic Scenario ◽  
The Impact

As the impact factors of the waste Not-In-My-Back Yard (NIMBY) crisis are complex, and the scenario evolution path of it is diverse. Once the crisis is not handled properly, it will bring adverse effects on the construction of waste NIMBY facilities, economic development and social stability. Consequently, based on ground theory, this paper takes the waste NIMBY crisis in China from 2006 to 2019 as typical cases, through coding analysis, scenario evolution factors of waste NIMBY crisis are established. Furtherly, three key scenarios were obtained, namely, external situation (E), situation state (S), emergency management (M), what is more, scenario evolution law of waste NIMBY crisis is revealed. Then, the dynamic Bayesian network theory is used to construct the dynamic scenario evolution network of waste NIMBY crisis. Finally, based on the above models, Xiantao waste NIMBY crisis is taken as a case study, and the dynamic process of scenario evolution network is visually displayed by using Netica. The simulation results show that the scenario evolution network of Xiantao waste NIMBY crisis is basically consistent with the actual incident development process, which confirms the effectiveness and feasibility of the model.

Sign in / Sign up

Export Citation Format

Share Document