Evaluation of Energy Efficiency and Analysis of Influencing Factors of Company CW’s Manufacturing Workshops

In this work,the Slacks-Based Measure(SBM)model within Data Envelopment Analysis was employed to establish a set of indicators for evaluating the energy efficiency of manufacturing workshops.The energy efficiency of 12 Company CW’s manufacturing workshops from 2016 to 2022 was assessed.The findings indicated that aside from a few workshops operating at the production frontier,the rest exhibit significant fluctuations in energy efficiency and generally low energy efficiency.Subsequently,a combined GRA-Tobit analysis model was introduced to identify factors influencing the energy efficiency of Company CW’s manufacturing workshops.Regression analysis revealed that technological investments,employee quality,workshop production scale,investment in clean energy,and the level of pollution control all significantly impact the energy efficiency of Company CW’s manufacturing workshops.By evaluating the energy efficiency of Company CW’s manufacturing workshops and studying their influencing factors,this research aids company managers in understanding the energy efficiency of the manufacturing process.It optimizes the combination of various production elements,thereby offering effective guidance for improving the energy efficiency issues of the company’s manufacturing workshops,which can contribute to enhancing the corporation’s overall energy efficiency.

基于CH-DEA模型的中国制造业产业安全研究

2020年初,新冠疫情在世界范围内全面暴发,中国制造业受冲击显著,影响了中国整体经济健康稳定的发展。因此,分析中国制造业产业安全态势以应对制造业安全风险势在必行。创新地提出CH-DEA方法,并基于产业安全理论建立了制造业安全评价指标体系,从而科学合理地认识中国制造业产业安全现状。结果显示,2005~2020年期间中国制造业产业安全度总体呈现上升趋势,即制造业应对风险等突发事件能力及独立发展能力不断提高。微观障碍因素分析发现,现阶段中国制造业所面临的主要障碍是规模缩减,应利用科研创新能力提升制造业增加值。宏观环境影响因素分析显示,制造业产业安全与GDP、产品市场显著正相关。产品市场的良性竞争可以促使制造企业投入更多的资金采取规模化生产并更新设备,从而提升行业竞争力。

Empirical Analysis of China's Direct Food Subsidy Policy Based on DEA Model: A Case Study of Direct Food Subsidy Policy in Shandong Province

The direct food subsidy is an important agricultural subsidy policy under current conditions,more efficient than grain price protection policy and other policies,and it is of great importance to the agricultural development,but this policy will not meet the interests of society in the long run. In this paper,we make an empirical study with the direct food subsidy policy in Shandong Province as an example,focusing on the analysis of the efficiency of policy implementation in different regions. Study suggests that direct food subsidy has made some achievements,but there are some problems in practice,such as low standard for direct food subsidy policy,less subsidy varieties,generally low efficiency of direct food subsidy policy,lack of unified policy implementation,serious waste of money and inefficient supervision during the subsidy policy implementation process. In order to improve the efficiency of direct food subsidy,it is necessary to raise standard for subsidy,and expand the scope of subsidy varieties; unify the policy,and make the policy suit local circumstances; improve the subsidy mechanism,regulate government behavior,and strengthen supervision.

Energy efficiency evaluation based on DEA integrated factor analysis in ethylene production

Energy efficiency evaluation plays an important role in energy efficiency improvement of the ethylene production. It is observed from the actual production data that the ethylene production energy efficiency often varies with the complex production working conditions. In the favored methods for energy efficiency evaluation,DEA models may show poor resolution when directly used to evaluate the efficiency values. Therefore, a new energy efficiency evaluation method for ethylene production is proposed based on DEA integrated factor analysis with respect to operation classification. Three key factors, including raw material composition, cracking depth and load rate, are taken into account in determining the production working conditions by means of k-means algorithm. Based on the multi-working conditions mode the energy efficiency evaluation of the ethylene production is made by using DEA model, where the most related energy data are screened by factor analysis.Furthermore, the supporting decision of energy efficiency improvement is provided to the operators. The accuracy and effectiveness of the proposed method are illustrated by applying in a practical ethylene production,which gives more effective energy efficiency evaluation in the complicated working conditions of ethylene production with declined dimension of input indicators.

Analysis of the efficiency of regional tourism based on DEA window technology

In this study,data envelopment analysis is used to measure the tourism efficiency of 31 regions in China according to the panel data from the year 2000 to 2010.The conclusion shows that the efficiency of tourism industry is on the rise as a whole,while the diversity of every region becomes more and more apparent.High efficiency appears in east regions like Beijing,Tianjin and Shanghai where the economy is developed,and regions like Jilin,Sichuan and Gansu in the midland and west show low efficiency.

学术期刊评价中DEA方法的系统误差研究

[目的/意义]DEA分析在学术期刊评价中得到了广泛应用,但其系统误差问题却没有得到足够重视。因此,深入研究该问题的根源及其解决策略,可以更为精确地揭示学术期刊的真实水平。[方法/过程]本文将系统误差理论引入到DEA分析中,在理论分析的基础上,对学术期刊评价中DEA方法的系统误差的产生机制及其影响进行深度探究,并在此基础上提出有效预防和消减系统误差的方法。[结果/结论]研究发现,我国DEA学术期刊评价仍处于探索阶段,学术期刊评价中DEA方法的系统误差的产生原因包括评价目的确定的系统误差、投入产出变量选取的系统误差、评价方法适用性系统误差、模型设定误差与结果公布系统误差,评价指标选取与方法选择是学术期刊评价中DEA方法的系统误差产生的主要原因,并提出了预防和消除学术期刊DEA效率分析系统误差的解决方案:认真选择学术期刊效率评价投入产出指标,保证评价对象数量达到一定规模,结合评价目的选择评价方法,不宜滥用复杂的DEA模型,采用专家赋权法设定权重。科技评价效率分析同样存在系统误差问题,需因地制宜进行处理,对于具有公共物品属性的学术评价应适度采用DEA方法。

基于超效率DEA模型的陆军部队指挥所指挥效率评价

指挥所指挥效率评估是复杂的系统性问题,对提高部队指挥、作战、保障能力具有重要意义。主要运用数据包络的方法,不探讨指挥所的内部结构问题,通过对陆军典型部队指挥所输入输出数据进行分析,运用CCR-DEA和超效率DEA模型,对指挥效率问题进行研究排序,并针对输入数据提出改进建议,评估方法简单、可操作性强,对于陆军部队指挥所构建和指挥能力提升具有重要意义。

金融助推体育产业发展的效率测算及影响因素研究——基于DEA-Tobit模型的实证分析

经济新常态背景下,金融业在推动体育产业发展上起到重要作用,研究二者之间的关系对促进金融-体育系统协调发展具有重要意义。本文以我国2007-2023年上市体育公司金融支持效率为研究对象,采用DEA-BCC模型测算金融支持效率,Tobit面板模型进行影响因素分析,检验结果显示:我国金融支持体育产业效率均大于0.6,但整体呈波动式走向;东部地区和主板市场金融支持体育产业的发展水平具有一定的代表,且与全样本走势基本一致;企业属性、股权集中度对金融支持体育产业效率有显著的促进作用,企业规模、宏观经济风险会显著抑制金融支持效率,融资约束则对其具有负向不显著影响;对所有样本进行分地区、分市场回归依然得到相似的结论。最后,本文从政府、金融监管当局、体育企业自身提出一定的建议,以促进金融支持体育产业效率的提升。

Analysis on regional disparity of economic development in China based on DEA

The economy of China has been developing fast after the beginning of the new century, but the 31 provinces or municipalities （excluding Hong Kong, Taiwan and Macao） develop disparately. So, finding an appropriate way to analyze and compare the economic situations of various regions is of great significance for the balanced development of the east coastal area and the hinterland. With the DEA method, on the basis of regionalism, this paper analyzes various regions of China, and gets the conclusion that the effective proportion of DEA of the coastal developed areas is relatively higher, and the extremely tittle foreign investment makes the relative efficiency of DEA of frontier areas pretty high. In addition, through the analysis parameters of the regions where DEA is relatively ineffective, this paper points out that the surplus labor force is the most influential factor, and the spare foreign investment is the main reason for the lack of efficiency of relatively developed regions.

基于效用网络DEA的银行运营绩效评价

针对两阶段网络数据包络分析法(data envelopment analysis,DEA)中加法和乘法效率分解模型所存在的问题,文章提出期望效用理论分析框架下的效率评价方法。首先考虑子系统的内在关系,给出子系统期望效率的定义,并通过蒙特卡洛仿真算法进行求解;然后利用多属性效用函数和不含投入的DEA模型集成得到系统总效率;进而将该方法拓展到一般性的多阶段序列网络数据包络分析法结构中,扩大其应用范围;最后通过对中国上市商业银行运营效率的评价来验证方法的有效性与合理性。

基于双目标DEA模型的中国省级高技术产业的创新效率评价

科学合理地评价高技术产业的创新效率,对于提升其国际科技竞争力具有重要意义。基于创新价值链理论,高技术产业创新活动一般被划分为研发和商业化两个前后连续的子阶段。本文基于合作共赢的思想,从研发子阶段和商业化子阶段合作视角出发,建立双目标DEA模型。然后对中国高技术产业在2013—2015年(包括三个连续的创新周期,即2013年代表2013—2015年;2014年代表2014—2016年;2015年代表2015—2017年)的整体创新效率、研发效率和商业化效率进行评价。实证结果表明:中国高技术产业的整体创新效率偏低,具有较大的改进空间;高技术产业的研发效率远大于商业化效率,较低的商业化效率是导致整体创新效率偏低的主因;高技术产业的整体创新效率、研发效率和商业化效率存在省际和地区之间的差异。最后,根据研发效率和商业化效率,本文将29个省级高技术产业划分为四类,为每个省级高技术产业创新效率的提升提出具体策略。本文丰富了评价理论与方法,为高技术产业的创新效率评价提供了一个新的视角,具有重要的理论价值和实践意义。

基于DEA模型的中国竞技体育人才培养效率评价研究

竞技体育人才培养是推动我国竞技体育事业可持续发展的前提和基础,随着国家不断深化建设体育强国的目标,完善竞技体育人才培养资源投入机制和结构对提高竞技体育人才培养效率具有重要意义。本研究运用文献资料、逻辑分析、DEA数据包络分析等研究方法进行系统研究,对2016年至2020年各省区竞技体育人才培养效率进行评价研究。得出以下结论:(1)各省域的综合效率值总体呈现上升的趋势,纯技术效率与规模效率超过均值的地区比例较大,大部分省区对资源投入的管理能力较强。(2)我国竞技体育人才培养全要素生产率发展不平稳,呈动态波动趋势,但总体情况较好。(3)政府财政支持、常住人口数量、人力资本等因素,对我国竞技体育人才培养效率产生了不同程度的影响。

基于DEA-Tobit模型的华东地区公共体育服务效率研究

公共体育服务是政府为满足公民体育需求所提供的一种体育服务措施,而效率评价是衡量其发展的重要手段。科学的公共体育服务效率评价,能够客观清晰地反映公共体育服务发展情况。构建DEA模型对2016—2018年我国华东地区六省一市的公共体育服务效率评价指标进行测算分析,并运用Tobit模型进行实证检验,探究可能对公共体育服务效率带来影响的外部因素。结果显示:(1)华东地区2016—2018年公共体育服务综合效率值为0.931,纯技术效率值为0.992,规模效率值为0.937,规模报酬呈现递减趋势;(2)地区经济发展水平、人口密度和体育管理人员规模与公共体育服务效率呈正相关,与受教育水平呈负相关。根据研究结果分析华东地区公共体育服务效率问题与差距,提出以下对策建议:减少区域短板,促进协同发展;调整资源配置,提升供给质量;健全监督机制,完善管理体系。

Agricultural Eco-efficiency Evaluation in Anhui Province: An Empirical Analysis Based on DEA Method

According to the eco-efficiency theory, combined with agricultural production characteristics, I point out the environmental impact and substance energy consumption characteristics of agricultural production. Based on this, I establish the eco-efficiency evaluation indicator system for agricultural production, and conduct a comprehensive analysis on the agricultural eco-efficiency of 17 prefecture-level cities in Anhui Province, using data envelopment analysis method.

Empirical Analysis of Agricultural Cultural Resources Value Evaluation under DEA Model

Agricultural culture is a productive activity about education and management.It aims at high efficiency and high quality,uses technology as its means,and takes nature as its carrier.Agricultural cultural resources are the product of the rapid development of modern economy.It promotes the development of the national economy and profoundly affects people's production and life.DEA model,also known as data envelope analysis method,is an algorithm that uses multiple data decision units for input and output training to obtain the final model.This article explains the concept and basic characteristics of agricultural culture.Through questionnaire surveys and expert interviews,we collected development data,screened human,material,and financial data,and calculated information on economic and social resources.On this basis,this paper establishes the evaluation index of agricultural culture based on DEA model.Then,through empirical analysis from a specific perspective,it can be concluded that increasing human,material and financial input can achieve economic and social benefits.Generally speaking,cultural investment can promote the development of the industry.The research results of this paper laid a theoretical foundation for the development of agricultural culture,and put forward a development model focusing on technology development,improving investment efficiency,and investing in material resources.

Cost Containment of Total Knee Arthroplasty in the US: DEA Analysis on Regional Cost and Clinical Comparison between 2010 and 2013

The purpose of this research is to evaluate clinical and cost effectiveness of total knee replacement surgery (TKA) for adults hospitalized in the United States between 2010 and 2013. We tried to answer the question that whether lower length of stay and higher utilization of post-op facilities would be helpful to control the overall costs. Using the National Hospital Discharge Survey (NHDS) database and cost data from Blue Cross Blue shield, this study seeks to identify which U.S. region renders the highest quality patient care during a three-year span of 2008-2010. Using length of stay and discharge disposition (2010) as input factors, and regional TKA costs (2013) as output factors, Data Envelopment Analysis (DEA), a non-parametric method, illustrated the efficiency ranking of four regions in the US on TKA expenditures. The result shows the West is the most efficient region on controlling the overall cost by shrinking the length of stay and increasing the utilization of short-term/long-term care facilities.

The Analysis of the Agriculture Input and Output Efficiency Based on DEA Model

Fiscal agricultural expenditure has been increased rapidly for a long time,but ＂Agriculture,Countryside and Farmer＂ issues have not yet been resolved fundamentally,which illustrates that the main direction of fiscal agricultural expenditure and the appropriate intensity of input have not been discovered exactly before implementing the policy.This thesis analyzed the agriculture input and output efficiency by input-DEA model,and then summarizes bygone problem about fiscal agricultural expenditure.At last,some effective suggestions were proposed about optimizing the agriculture input and output efficiency.

基于DEA-Malmquist方法的新疆与全国小麦主产区生产效率动态比较研究

基于2004—2021年我国十大小麦主产区和新疆小麦的成本收益数据,运用数据包络分析模型(DEA)和全要素生产率指数(Malmquist)、从地域横向和时间纵向上分析了新疆小麦全要素生产率的现状及存在的问题。研究结果发现:(1)规模效率、综合技术效率和纯技术效率在两个阶段上显著,新疆小麦生产效率主要受技术水平制约。(2)新疆小麦全要素生产率在整体上处于增长趋势,技术进步是影响全要素生产率的主要因素。(3)新疆小麦生产在纯技术效率和技术进步方面均优于主产区平均水平,规模效率则还有较大进步空间。由此进一步优化生产规模并促进技术水平的提升对于新疆小麦生产效率的增长具有重要作用。

Failure Mode and Effects Analysis （FMEA） by Fuzzy Data Envelop Analysis （Fuzzy-DEA）

Failure mode and effects analysis （FMEA） offers a quick and easy way for identifying ranking-order for all failure modes in a system or a product. In FMEA the ranking methods is so called risk priority number （RPN）, which is a mathematical product of severity （S）, occurrence （0）, and detection （D）. One of major disadvantages of this ranking-order is that the failure mode with different combination of SODs may generate same RPN resulting in difficult decision-making. Another shortfall of FMEA is lacking of discerning contribution factors, which lead to insufficient information about scaling of improving effort. Through data envelopment analysis （DEA） technique and its extension, the proposed approach evolves the current rankings for failure modes by exclusively investigating SOD in lieu of RPN and to furnish with improving sca.les for SOD. The purpose of present study is to propose a state-of-the-art new approach to enhance assessment capabilities of failure mode and effects analysis （FMEA）. The paper proposes a state-of-the-art new approach, robust, structured and useful in practice, for failure analysis.

基于DEA和Malmquist指数的广东省渔业效率研究

【目的】分析掌握广东渔业的产出效率,为发展可持续的低耗高产渔业提供数据参考。【方法】基于数据包络分析(DEA)及Malmquist指数,对2011—2022年期间广东渔业综合技术效率和全要素生产率指数及其分解进行测算和分析,并与全国平均值进行对比。【结果】广东渔业综合技术效率每年均高于全国平均水平,但2011—2014年、2018—2019年和2021年广东渔业规模报酬呈现递减。通过对广东水产养殖和水产品捕捞的综合技术效率分别进行测算,发现2011—2022年期间广东水产养殖的综合技术效率较高,除2013年和2014年外,均为DEA有效。将DEA无效年份的广东水产养殖和水产品捕捞在生产前沿面上的投影调整为DEA有效,结果显示,2013年和2014年广东水产养殖投入的冗余率分别为5.98%和10.46%,而2011—2014年、2018—2019年和2021年广东水产品捕捞投入的冗余率在39.73%~74.27%之间,说明水产品捕捞的过度投入以及由此引发的捕捞综合技术效率低下是造成2011—2014年、2018—2019年和2021年广东渔业规模报酬递减的主要原因。广东渔业的技术进步和全要素生产率上升幅度与全国平均水平相差较远,全要素生产率和技术进步指数均比全国平均增幅低4.7%,说明广东省在渔业技术进步方面有较大提升空间。【结论】建议广东加大渔业科技的投入力度,加强渔业技术创新,以促进渔业技术进步和提高全要素生产率;加快渔业产业结构调整,合理布局养殖和捕捞规模,以解决广东渔业规模报酬递减的问题;加强渔业资源保护和增殖放流,利用自然生产力增加可捕捞渔业资源;加强水产良种创制及养殖新模式和新技术的开发,进一步拓展水产养殖空间和提高水产养殖的产出效率。