Research on sustainable development and efficiency of China's E-Agriculture based on a data envelopment analysis-Malmquist model

2021 ◽  
Vol 162 ◽  
pp. 120298 ◽  
Author(s):  
Wen-Tsao Pan ◽  
Mei-Er Zhuang ◽  
Ying-Ying Zhou ◽  
Jia-Jia Yang
Keyword(s):  
Sustainable Development ◽  
Data Envelopment Analysis ◽  
Data Envelopment

Location Optimization of Rapeseed and Soybean Cultivation Areas Considering Economic, Climatic and Social Criteria

2018 ◽  
Vol 9 (3) ◽  
pp. 53-65
Author(s):  
Reza Babazadeh ◽  
Mohammad Voria Yavarirad ◽  
Ehsan Momeni Bashusqeh
Keyword(s):  
Sustainable Development ◽  
Data Envelopment Analysis ◽  
Present Article ◽  
Principle Component Analysis ◽  
Data Envelopment ◽  
Dea Model ◽  
Location Optimization ◽  
Principle Component ◽  
Pca Method ◽  
Dea Method

This article describes how among different oilseeds, rapeseed and soybean contain considerable amounts of protein and oil and have a specific role in agriculture and supplying food. Optimizing the cultivation areas of rapeseed and soybean based on sustainability factors will improve their productivity, economic, environmental, and social objectives. The goal of the present article is to investigate the background for cultivation of these two types of seeds using a data envelopment analysis (DEA) method. Sustainable development criteria including economic, climatic and social criteria are considered in assessing the candidate locations for cultivating soybean and rapeseed by DEA model. The proposed method is applied in Iran. The Principle Component Analysis (PCA) method is used to verify and validate the results of DEA model. Results show that the DEA model can be used as a powerful tool to optimize the cultivation areas of soybean and rapeseed.

scholarly journals Synergetic Evaluation of Project Portfolio Configuration Based on Data Envelopment Analysis

2017 ◽  
Author(s):  
Libiao Bai ◽  
Sijun Bai ◽  
Tiantian Zhai
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Data Envelopment Analysis ◽  
Computational Experiment ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
Data Envelopment ◽  
Project Portfolio ◽  
Financial Indicators ◽  
Decision Making Unit

Project portfolio configuration (PPC) is an important approach to maintain the sustainable development of enterprises and achieve organizations’ strategy. However, the synergetic efficacy of PPC which determines the degree of the project's strategic objectives achieved is a fuzzy problem and hard to be measured. To solve this problem, this paper takes the data envelopment analysis (DEA) as the tool to measure the efficacy of PPC under deterministic conditions. First, a portfolio evaluation index system which takes financial indicators and non-financial indicators into consideration is developed based on the review of the literature; Second, an evaluation model based on DEA is built to reduce the number of decision making-unit with the perspective of synergetic theory; Then, a computational experiment is studied to verify the feasibility of this proposed model. The results of this computational experiment show that this model can effectively narrow scope of decision-making, improve the decision-making level and provide a reference to decide the DEA effective project portfolio decision-making unit. To our knowledge, this study is the first time to apply the notion of synergetic efficacy and DEA to the PPC domain. It is hoped that this paper may shed lights on any further study about PPC and enterprise competitiveness of sustainable development.

scholarly journals Natural and Managerial Disposability Based DEA Model for China’s Regional Environmental Efficiency Assessment

Energies ◽  
2019 ◽  
Vol 12 (18) ◽  
pp. 3436 ◽  
Author(s):  
Xiaoyang Zhou ◽  
Hao Chen ◽  
Hao Wang ◽  
Benjamin Lev ◽  
Lifang Quan
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Energy Consumption ◽  
Data Envelopment Analysis ◽  
Environmental Efficiency ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Efficiency Assessment ◽  
Radial Model ◽  
Better Than

With the acceleration of industrialization, a large amount of energy consumption has brought tremendous pressure to the natural environment. In order to prevent environmental pollution and promote sustainable development, the environmental efficiency assessment as an effective way to provide decision-making basis has been given wide attention. This study measures the environmental efficiency of 30 provinces in China from 2006 to 2015 based on the Data Envelopment Analysis (DEA) environmental assessment radial model both under natural disposability and managerial disposability that considered the constant variable return to scale (RTS) and the damage to scale (DTS). In addition, the scale efficiency under the two kinds of disposability of China’s 30 provinces were also measured. We found that the environmental efficiencies of different provinces in China showed regional disparities. Provinces such as Beijing, Shanghai, and Guangdong had a good performance in unified environmental efficiency and scale efficiency both under natural disposability and managerial disposability. Generally speaking, the eastern regions always performed better than the central and western regions in unified environmental efficiency during the observed years. Therefore, policies should be established to distribute the resources in balance between the east, center, and west to further promote environmental efficiency.

Data envelopment analysis methods in sustainable agricultural development research

2021 ◽  
pp. 179-205
Author(s):  
Katarzyna Smędzik-Ambroży ◽  
Agnieszka Sapa
Keyword(s):  
Sustainable Development ◽  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Economies Of Scale ◽  
Scale Effects ◽  
Three Dimensions ◽  
Data Envelopment ◽  
Farm Accountancy Data Network ◽  
Business Entities ◽  
The Individual

Sustainable development of business entities can be analysed in terms of three dimensions, i.e., economic, social and environmental ones. The economic dimension of sustainable development can be assessed, inter alia, by entities’ technical efficiency defined as the relation of outputs to inputs. One of the methods that is used to assess the technical efficiency of business entities compared to other entities is the Data Envelopment Analysis (DEA) method. The aim of the chapter is to determine the relative technical efficiency of representative agricultural farms from the individual European Union countries in 2018. Moreover, the scale efficiency indexes and the area of scale effects (increasing or decreasing) of the analysed farms were also determined. In the study the data from the Farm Accountancy Data Network (FADN) for 2018 were applied. In order to achieve the assumed research goals, the input-oriented DEA model was used, and the technical efficiency indexes of farms were estimated with the assumption of constant return to scale (CRS) and variable return to scale (VRS). This allowed, among others, for indicating the countries with farms achieving the highest technical efficiency (Belgium, Spain, Italy, Malta and Netherlands assuming CRS, and Belgium, Spain, Italy, Malta and Netherlands, Greece, Ireland, Romania and Slovenia assuming VRS), the lowest technical efficiency (the Czech Republic and Slovakia) within surveyed group of farms. All relatively inefficient farms (except Slovakia) functioned in the area of increasing economies of scale.

Eco-innovation analysis of OECD countries with common weight analysis in data envelopment analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Reza Kiani Mavi ◽  
Neda Kiani Mavi ◽  
Reza Farzipoor Saen ◽  
Mark Goh
Keyword(s):  
Sustainable Development ◽  
Data Envelopment Analysis ◽  
Oecd Countries ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Environmental Research ◽  
Data Envelopment ◽  
Discrimination Power ◽  
Content Type ◽  
Dea Models

PurposeDespite unanimity in the literature that eco-innovation (EI) leads to sustainable development, evidence remains limited on measuring EI efficiency with the Malmquist productivity index (MPI). In conventional data envelopment analysis (DEA) models, decision-making units (DMUs) are inclined to assign more favorable weights, even zero, to the inputs and outputs to maximize their own efficiency. This paper aims to overcome this shortcoming by developing a common set of weights (CSW). Design/methodology/approachUsing goal programming, this study develops a CSW model to evaluate the EI efficiency of the organization for economic co-operation and development (OECD) countries and track their changes with MPI during 2010–2018. FindingsAchieving a complete ranking of DMUs, findings show the higher discrimination power of the proposed CSW compared with the original DEA models. Furthermore, results reveal that Iceland, Latvia and Luxembourg are the only OECD countries that have incessantly improved their EI productivity (MPI > 1) from 2010 to 2018. On the other hand, Japan is the OECD country that has experienced the highest yearly EI efficiency during 2010–2018. This paper also found that Iceland has the highest MPI over 2010–2018. Practical implicationsMore investment in environmental research and development (R&D) projects instead of generic R&D enables OECD members to realize more opportunities for sustainable development through minimizing energy use and environmental pollution in any form of waste and greenhouse gas emissions. Originality/valueIn addition to developing a novel common weights model for DEA-MPI to measure and evaluate the EI of OECD countries, this paper develops a CSW model by including the undesirable outputs for EI analysis.

Study on the Sustainable Development Evaluation of Logistics Enterprise for Industry Manufacturing Based on Data Envelopment Analysis

2013 ◽  
Vol 345 ◽  
pp. 380-383
Author(s):  
Shu Lin Li
Keyword(s):  
Sustainable Development ◽  
Data Envelopment Analysis ◽  
Academic Community ◽  
Evaluation Index System ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Analysis Model ◽  
Application Process ◽  
The Sustainable Development ◽  
Logistics Enterprise

Logistics is an important part in social reproduction; it not only has the physical recycling and energy conversion, but also involves value transfer and value realization. Besides, the logistics involved the economic system and ecological environment system. With resource constraints and environmental problems have become more serious; the sustainable development of logistics enterprise for industry manufacturing has become the focus of the academic community. Based on the concept of sustainable development and data envelopment analysis model, this paper constructs the evaluation index system of sustainable development for logistics enterprise for industry manufacturing, and clears the application process of the model according to the characteristics of its logistics enterprise for industry manufacturing.

scholarly journals Comprehensive Evaluation of Regional Sustainable Development Based on Data Envelopment Analysis

2018 ◽  
Vol 10 (11) ◽  
pp. 3897 ◽  
Author(s):  
Zhijiang Li ◽  
Decai Tang ◽  
Mang Han ◽  
Brandon Bethel
Keyword(s):  
Sustainable Development ◽  
Data Envelopment Analysis ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Data Envelopment ◽  
Input Output ◽  
Slow Development ◽  
Regional Sustainable Development ◽  
Spatio Temporal

In the light of the shortcomings of the analytic hierarchy process and other common regional sustainable development evaluation methods, this paper proposes the use of a combination of subjective and objective weights to generate input/output indicators using the Data Envelopment Analysis (DEA) method. Using this methodology, we construct a comprehensive evaluation index which is useful in expanding the application of Data Envelopment Analysis (DEA) in the comprehensive evaluation of sustainable development. Moreover, this paper addresses the shortfalls of the traditional DEA evaluation model and uses the Super-Slack Based Measure (SBM)-Undesirable and DEA-Malmquist evaluation models, which are based on traditional DEA model optimization, to analyze the spatio-temporal characteristics of sustainable development on regional scales. Using China’s Yangzte River Economic Belt as an example, an empirical analysis is carried out. We show that analysis results are virtually identical to the extant situation and can objectively reflect the status and abilities of sustainable development in each subregion. Additionally, from the angles of input, output and technological progress, this paper uses the DEA evaluation method to analyze the reasons behind the slow development in several provinces and municipalities along the Yangzte River Economic Belt (YERB). The regional characteristics of each province and city within our study are combined to explore the optimal mechanisms for sustainable development.

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