Inter-provincial differences of technical innovation efficiency among farmer professional cooperatives in China

2020 ◽  
Vol 47 (3) ◽  
pp. 410-424
Author(s):  
Ping Zhou ◽  
Lichao Yang ◽  
Pingbo Hu ◽  
Yang Cheng ◽  
Shenghan Zhou
Keyword(s):  
Rural China ◽  
Economic Transformation ◽  
Technical Innovation ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Analysis Model ◽  
Rural Market ◽  
Innovative Capability ◽  
Policy Suggestions ◽  
The Impact

Abstract The technical innovation efficiency of farmer professional cooperatives has a far-reaching impact on the economic transformation and development in rural China, but it has been rarely studied. Addressing this gap, this article builds an index evaluating system for the technical innovation efficiency of provinces through a three-stage data envelopment analysis model that measures the relative efficiency of the technical innovation of cooperatives in China’s thirty-one provinces. The results show that the Eastern and Central provinces in China are more efficient than the Western provinces in terms of the technical innovation efficiency of farmer professional cooperatives. However, due to the lack of sustainable innovative capability of these cooperatives, investment redundancy is common in technical innovation. Besides, the impact of the external technology environment on the technical innovation of provincial farmer professional cooperatives is significant, and the scale of the rural market greatly incentivizes the cooperative technical innovation. Some policy suggestions are accordingly proposed.

scholarly journals The Energy Efficiency and the Impact of Air Pollution on Health in China

Healthcare ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 29 ◽  
Author(s):  
Xianhui He ◽  
Yung-ho Chiu ◽  
Tzu-Han Chang ◽  
Tai-Yu Lin ◽  
Zebin Wang
Keyword(s):  
Air Pollution ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Analysis Model ◽  
So2 Emissions ◽  
Lower Efficiency ◽  
The Past ◽  
High Level ◽  
The Impact ◽  
China’S Economy

The rapid growth of China’s economy in recent years has greatly improved its citizens’ living standards, but economic growth consumes many various energy sources as well as produces harmful air pollution. Nitrogen oxides, SO2 (sulfur dioxide), and other polluting gases are damaging the environment and people’s health, with a particular spike in incidences of many air pollution-related diseases in recent years. While there have been many documents discussing China’s energy and environmental issues in the past, few of them analyze economic development, air pollution, and residents’ health together. Therefore, this study uses the modified undesirable dynamic two-stage DEA (data envelopment analysis) model to explore the economic, environmental, and health efficiencies of 30 provinces in China. The empirical results show the following: (1) Most provinces have lower efficiency values in the health stage than in the production stage. (2) Among the provinces with annual efficiency values below 1, their energy consumption, CO2 (carbon dioxide), and NOx (nitrogen oxide) efficiency values have mostly declined from 2013 to 2016, while their SO2 efficiency values have increased (less SO2 emissions). (3) The growth rate of SO2 efficiency in 2016 for 10 provinces is much higher than in previous years. (4) The health expenditure efficiencies of most provinces are at a lower level and show room for improvement. (5) In most provinces, the mortality rate is higher, but on a decreasing trend. (6) Finally, as representative for a typical respiratory infection, most provinces have a high level of tuberculosis efficiency, indicating that most areas of China are highly effective at respiratory disease governance.

scholarly journals MEASURING EFFICIENCY OF A UNIVERSITY FACULTY USING A HIERARCHICAL NETWORK DATA ENVELOPMENT ANALYSIS MODEL

2018 ◽  
Author(s):  
Rosmaini Kashim ◽  
Maznah Mat Kasim ◽  
Rosshairy Abd Rahman
Keyword(s):  
Data Envelopment Analysis ◽  
Measurement Model ◽  
Data Envelopment Analysis Model ◽  
Network Data ◽  
University Faculty ◽  
Data Envelopment ◽  
Analysis Model ◽  
Dea Model ◽  
Network Data Envelopment Analysis ◽  
The Impact

An efficiency measurement model of a university faculty is proposed with additional new sub-functions that produce new output variables, based on the network Data Envelopment Analysis (DEA) model for systems with a hierarchical structure.For production systems composed of hierarchical processes, the system efficiency is well represented as the aggregated performance of the components involved in the system. It is identified that the conventional DEA model ignores internal process activities in a university. Therefore, an improved DEA model based on a network structure that accounts for more activities in a university is proposed to measure its overall efficiency. The impact of major functions of a university are taken into account to represent the output variables in assessing the efficiency. Currently, collaboration activities have been given more attention, so, this variable is suggested as a new output for the hierarchical production system. In order to show the practicality of the model, a hypothetical set of data of 14 faculties has been used as a numerical example. The results show that none of the faculties is relatively efficient since its functions were found to be inefficient. The proposed model enables to help the management of university faculties to identify weaknesses of each function and thus to plan for suitable actions on improving the overall performance of the university.  

Dynamic frontier estimation for monitoring team performances

2019 ◽  
Vol 25 (3/4) ◽  
pp. 212-228
Author(s):  
Melike Yılmaz ◽  
Çağlar Aksezer ◽  
Tankut Atan
Keyword(s):  
Data Envelopment Analysis ◽  
Historical Data ◽  
Expert Knowledge ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Analysis Model ◽  
Content Type ◽  
Frontier Estimation ◽  
Efficiency Measures ◽  
The Impact

Purpose This paper aims to investigate how predictions of football league standings and efficiency measures of teams, obtained through frontier estimation technique, evolve compared to actual results. Design/methodology/approach The study is based on data from the Turkish first division football league. Historical data for five seasons, from 2011 to 2016, are used to compare weekly estimates to de facto results. Data envelopment analysis efficiency measures are used to estimate team performances. After each week, a data envelopment analysis is run using available data until then, and final team standings are estimated via computed efficiencies. Estimations are improved by using a data envelopment analysis model that incorporates expert knowledge about football. Findings Results indicate that deductions can be made about the league’s future progress. Model incorporating expert knowledge tends to estimate the performance better. Although the prediction accuracy starts out low in early stages, it improves as the season advances. Scatter of individual teams’ performances show fluxional behaviour, which attracts studying the impact of uncontrollable factors such as refereeing. Originality/value While all previous studies focus on season performance, this study handles the problem as a combination of weekly performance and how it converges to reality. By tracking weekly performance, managers get a chance to confront their weak performance indicators and achieve higher ranking by improving on these inefficiencies.

The impact of rural infrastructural investment on farmers' income growth in China

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lishuang Wang ◽  
Fan Zhang ◽  
Zehao Wang ◽  
Qiu Tan
Keyword(s):  
Rural Economy ◽  
Conduction Mechanism ◽  
Threshold Model ◽  
Rural China ◽  
Economic Transformation ◽  
Mediating Effect ◽  
Infrastructure Investment ◽  
Content Type ◽  
Rural Infrastructure ◽  
The Impact

PurposeThe purpose of this paper is to propose and verify the influence mechanism of various kinds of infrastructure investment on farmers' income in rural China. It further analyzes the effect of rural infrastructure investment on rural economic transformation.Design/methodology/approachThis research is used to GMM model to verify the relationship between infrastructure investment and farmers' income; furthermore, the mediating effect model is used to verify the linear conduction mechanism, and panel threshold model is used to verify the nonlinear conduction mechanism.FindingsThe results show that: (1) Rural infrastructure investment can indirectly affect farmers' income by changing land efficiency and land use structure; (2) The impact of infrastructure investment on farmers' income is nonlinear; (3) Increasing infrastructural investment of productivity and transportation will contribute to accelerating the transformation of rural economy.Originality/valueThis paper expands the research on the impact of rural infrastructure investment on farmers' income; it analyzes the inner mechanism and enriches the research contents in this field; the influence of various infrastructure investment on rural economic transformation is further discussed; it provides policy suggestions and theoretical basis for accelerating the transformation of China's rural economy.

A multiobjective data envelopment analysis model applied to the evaluation of Brazilian electrical distributors

2018 ◽  
Author(s):  
Luciana G. Machado ◽  
Isabella C. Carlos ◽  
Lidia A. Meza ◽  
Joao Carlos C.B.S. de Mello
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Analysis Model

A novel Data Envelopment Analysis model for evaluating industrial production and environmental management system

2018 ◽  
Vol 170 ◽  
pp. 773-788 ◽  
Author(s):  
Xiaoyang Zhou ◽  
Zhongwen Xu ◽  
Liming Yao ◽  
Yan Tu ◽  
Benjamin Lev ◽  
...  
Keyword(s):  
Environmental Management ◽  
Data Envelopment Analysis ◽  
Industrial Production ◽  
Management System ◽  
Environmental Management System ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Analysis Model

scholarly journals A knowledge system proposal with weighted goal programming approach for multi-criteria dea model and an application

2021 ◽  
Vol 12 (2) ◽  
pp. 422-438
Author(s):  
Tugba Polat ◽  
Safak Kiris
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Goal Programming ◽  
Evaluation Process ◽  
Knowledge System ◽  
Programming Approach ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Analysis Model ◽  
Weighted Goal Programming

In today's competitive environment, enterprises should use their resources correctly; they should continuously improve themselves and work efficiently. It is important to evaluate the performances of the units under the same conditions in enterprises according to each other, to see the current situations and to determine appropriate improvements in necessary points. One of the commonly used approaches to performance evaluation is Data Envelopment Analysis. Many approaches have been developed for the Data Envelopment Analysis model, and Goal programming using in multi-objective decision making solutions approaches is one of them. Goal Programming gives decision-makers the opportunity to evaluate many objectives together in the decision-making process. In this study, classical Data Envelopment Analysis and weighted goal programming approach for multi-criteria data envelopment analysis model was applied in the evaluation process of the projects worked in an automotive supplier industry. A knowledge system has also been proposed in order to evaluate the effectiveness of the projects periodically and to include new projects or conditions into the evaluation.

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