Model Construction and Empirical Analysis of the Efficiency Evaluation of Resource and Environment System

2021 ◽  
pp. 257-266
Author(s):  
Xiaoyan Wang
Keyword(s):  
Empirical Analysis ◽  
Model Construction ◽  
Efficiency Evaluation ◽  
Resource And Environment

Model Construction and Efficiency Evaluation of Micro Grid System Using Solar Energy and Waste Biomass

2017 ◽  
Vol 2017 (0) ◽  
pp. J0610203
Author(s):  
Ajose Oladipupo Doheto ◽  
Shinshuke SAWAKI ◽  
Yohei NAGANO ◽  
Yuki MIZUYAMA ◽  
Eriko MATSUMURA ◽  
...  
Keyword(s):  
Solar Energy ◽  
Model Construction ◽  
Efficiency Evaluation ◽  
Waste Biomass ◽  
Grid System ◽  
Micro Grid

scholarly journals An Empirical Analysis of Fujian Pork Prices under African Swine Fever Based on ARIMA Model

2021 ◽  
Vol 2 (1) ◽  
pp. 30-36
Author(s):  
Qian-Qian Song ◽  
Jun-Xiong You ◽  
Meng Chen
Keyword(s):  
Empirical Analysis ◽  
Arima Model ◽  
African Swine Fever ◽  
Model Construction ◽  
Policy Recommendations ◽  
Fujian Province ◽  
Monthly Data ◽  
High Level

This article takes the monthly data of the average pork price in Fujian Province from January 2018 to December 2019 as the research object, conducts the ARIMA model construction and analysis, and predicts the pork price in Fujian Province from January to June 2020. Results show that the pork price will have dropped slightly than before, but it is still at a relatively high level. Corresponding policy recommendations are made based on the results of the study.

A Study on Innovative Efficiency Evaluation in Industrial Sectors Based on SUPER-SBM DEA Model：An Empirical Analysis from Shandong Province

2010 ◽  
Vol 40-41 ◽  
pp. 795-800 ◽  
Author(s):  
Ying Jie Song
Keyword(s):  
Empirical Analysis ◽  
Structural Adjustment ◽  
Shandong Province ◽  
Efficiency Evaluation ◽  
Industrial Enterprises ◽  
Industrial Sectors ◽  
Element Input ◽  
Resource Transformation ◽  
Low Efficiency ◽  
Innovative Resources

This paper, based on an analysis of inherent features of scientific innovations through SUPER-SBM DEA model, constructs input and output index and conducts an empirical analysis on innovative efficiencies in industrial sectors in Shandong Province using the data from 2003 to 2008. Through the calculation of Super efficiency DEA value,the author points out that irrational structure of element input, low efficiency in the arrangement of scientific researchers and outlay use as well as the low efficiency of resource transformation are the restrictive factors that influence scientific innovative efficiency of industrial enterprises. The suggestions are finally put forward as follows: emphasis on structural adjustment of scientific innovative resources; cultivation and introduction of high-quality professionals; government’s promotion of innovative enterprises’ development, etc.

Technical Efficiency Evaluation of Grid Corporations Based on the DEA Model

2011 ◽  
Vol 467-469 ◽  
pp. 453-456
Author(s):  
Feng Kong ◽  
Wei Wang
Keyword(s):  
Electric Power ◽  
Technical Efficiency ◽  
Empirical Analysis ◽  
North China ◽  
Electric Power Industry ◽  
Efficiency Evaluation ◽  
Dea Model ◽  
Management Indicators ◽  
Efficiency Factors ◽  
First Time

This paper describes the main contents of the evaluation of technical efficiency of electric power industry at home and abroad, the evaluation methods, and the development of it, and conducts an empirical analysis of the technical efficiency of the Grid in North China for the first time. This paper introduces the DEA to evaluate the technical efficiency of the Grid Corporations, and application of PSO to optimize on the DEA model. From the results of the evaluation of the technical efficiency of Sample Grid Corporation of China, We can conclude that you can better evaluate the technical efficiency of power companies by the combination of two ways, and can make clearer on their own to improve non-efficiency factors, thus conduct a comprehensive monitoring in the technical indicators and management indicators

scholarly journals Big-data-driven Model Construction and Empirical Analysis of SMEs Credit Assessment in China

2019 ◽  
Vol 147 ◽  
pp. 613-619
Author(s):  
LIU Yadi ◽  
SONG Yuning ◽  
YU Jiayue ◽  
XIE Yingfa ◽  
WANG Yiyuan ◽  
...  
Keyword(s):  
Big Data ◽  
Empirical Analysis ◽  
Model Construction ◽  
Data Driven
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