ESTIMATION OF TECHNICAL, SPECIALIZED AND ECONOMIC EFFICIENCY OF CULTIVATED POTATO VARIETIES USING DATA ENVELOPE ANALYSIS METHOD (DEA) IN IRAQ FOR SPRING LUG 2018

2020 ◽  
pp. 119-131
Keyword(s):  
Technical Efficiency ◽  
Economic Efficiency ◽  
Potato Crop ◽  
Economic Status ◽  
Analysis Method ◽  
Envelope Analysis ◽  
Variable Capacity ◽  
Data Envelope Analysis ◽  
Using Data ◽  
The Stability

Research highlights the importance of potato crop, which occupies a prominent food and economic status in food security besides rice, wheat and corn at the local and global level. Despite the expansion of the cultivation of potato crop in Iraq in general and Ameriyah district in particular However, potato productivity remains substandard, this may be due to a lack of knowledge of the most efficient varieties and not to use productive resources at the levels at which technical, specialized and economic efficiency is achieved. Therefore, the aim of the research is to determine the technical, specialized and economic efficiency according to the cultivated seed category. The data envelope analysis (DEA) method was used to estimate technical, specialized and economic efficiency, assuming constant and variable capacity returns. As a result of the study, the Safrana variety achieved the highest average technical efficiency according to the stability of the yield and capacity efficiency in addition to achieving the highest average specialized and economic efficiency, The Lapadia variety achieved the highest average technical efficiency, assuming that capacity returns have changed. Therefore, we recommend the adoption of items that achieve higher efficiency and the need to redistribute the elements of production better and Achieving the optimum levels at which technical, specialized and economic efficiency is achieved and saving what has been wasted.

scholarly journals Measuring the Relative Efficiency of Government Banks Using Data Envelope Analysis (DEA) For The Period (2010-2019)

2021 ◽  
Vol 32 (4) ◽  
pp. 215-243
Author(s):  
Ali Hamed Abd ◽  
Mohammed Jassim Ahmed
Keyword(s):  
Economic Development ◽  
Real Estate ◽  
Relative Efficiency ◽  
Banking System ◽  
Analysis Method ◽  
Banking Services ◽  
Envelope Analysis ◽  
Intense Competition ◽  
Data Envelope Analysis ◽  
Using Data

The research aims to apply the data envelope analysis method to measure the efficiency of Iraqi government banks for the period (2010-2019) and to implement the objectives of the research, the method of data envelope analysis was chosen on (7) government banks for the period (2010-2019), this research means measuring the efficiency of the Iraqi banking system The research reached a main conclusion that (6) banks did not achieve efficiency, namely (Al-Rafidain Bank, Al-Rasheed Bank, Agricultural Bank, Industrial Bank, Real Estate Bank, Trade Bank of Iraq) and one bank that achieved efficiency during the period 2010-2019, which is (Al-Nahrain Bank Islamic(. Therefore, the research recommends Iraqi government banks to work to raise their efficiency by modernizing banks to strengthen their financial positions, and to provide new banking services to face intense competition in light of the liberalization of banking services trade, and the research recommends the necessity of financing provided by government banks to achieve economic development.

scholarly journals Application of Multiblock Analysis on Small Metabolomic Multi-Tissue Dataset

2020 ◽  
Author(s):  
Frida Torell ◽  
Tomas Skotare ◽  
Johan Trygg
Keyword(s):  
Data Integration ◽  
Biological Properties ◽  
Analysis Method ◽  
Single Model ◽  
Integration Methods ◽  
Using Data ◽  
The Stability

Data integration has been proven to provide valuable information. The information extracted using data integration in the form of multiblock analysis can pinpoint both common and unique trends in the different blocks. When working with small multiblock datasets the number of possible integration methods is drastically reduced. To investigate the application of multiblock analysis in cases where one has few number of samples, we studied a small metabolomic multiblock dataset containing six blocks (i.e. tissue types), only including common metabolites. We used a single model multiblock analysis method called Joint and unique multiblock analysis (JUMBA) and compare it to a commonly used method, concatenated PCA. These methods were used to detect trends in the dataset and identify underlying factors responsible for metabolic variations. Using JUMBA, we were able to interpret the extracted components and link them to relevant biological properties. JUMBA shows how the observations are related to one another, the stability of these relationships and to what extent each of the blocks contribute to the components. These results indicate that multiblock methods can be useful even with a small number of samples.

scholarly journals Tingkat Efisiensi Pemasaran Telur Itik Alabio dan Telur Asin di Kabupaten Hulu Sungai Utara Propinsi Kalimantan Selatan

2016 ◽  
Vol 6 (2) ◽  
pp. 443-446
Author(s):  
Mahdalena Mahdalena
Keyword(s):  
Technical Efficiency ◽  
Economic Efficiency ◽  
Marketing Channel ◽  
Efficiency Index ◽  
Efficiency Analysis ◽  
Survey Method ◽  
Analysis Method ◽  
Research Activity ◽  
Purposive Sampling ◽  
Marketing Efficiency

       This study aims to determine the efficiency level of each marketing channel of alabio duck and salted eggs in Hulu Sungai Utara Regency. The research activity was carried out in Hulu Sungai Utara Regency, in August-October 2013. The method used is survey method and interview with deliberately chosen location (purposive sampling). The efficiency analysis method uses the formula of Technical Efficiency Index and Economic Efficiency Index. Based on the results of the study, it was obtained technically and economically marketing efficiency was in channel III for the purpose of Palangkaraya and channel III for Simpang. Technically and economically marketing efficiency in marketing salted eggs is IET II channel <IEE which is 2.92 <3.8

scholarly journals COMPARING THE INTERTEMPORAL EFFICIENCY OF ISLAMIC BANKS IN INDONESIA AND MALAYSIA

2020 ◽  
Vol 6 (4) ◽  
Author(s):  
Lina Nugraha Rani ◽  
Salina Kassim
Keyword(s):  
Technical Efficiency ◽  
Global Financial Crisis ◽  
Optimal Level ◽  
Scale Efficiency ◽  
Islamic Banks ◽  
Using Data ◽  
The Stability ◽  
The Global Financial Crisis ◽  
Intertemporal Efficiency ◽  
Stability Score

This study aims to measure and compare the intertemporal efficiency of Islamicbanks in Indonesia and Malaysia using data envelopment analysis (DEA) togetherwith window (intertemporal) analysis for the period 2012–2018 and applying anintermediation approach. Window analysis is used to indicate the stability of efficiencyover the study period. The findings show that the intertemporal technical efficiency(TE) of Islamic banks in Indonesia was 77.4% with stability score of 0.034, which wassignificantly more efficient and more stable than Malaysian banks at 75.1% withstability score of 0.169. Moreover, the the intertemporal pure technical efficiency(PTE) of Islamic banks in Indonesia was 91.7% with stability score 0.020, which wasalso significantly more efficient and more stable than Malaysian banks at 88.0% PTEand stability score of 0.161. In contrast, the intertemporal scale efficiency (SE) ofIslamic banks in Indonesia was 84.5%, slightly lower than that of Malaysian banks at85.3% but not significantly different. PTE improvement has contributed to TEimprovement, while SE has not reached an optimal level. Comparison to previousresults also showed that since the global financial crisis the PTEs of Islamic banks inIndonesia and Malaysia have improved while SEs have worsened. Therefore, effortsto improve SE by expanding the size of Islamic banks to reach optimum economiesof scale are urgently needed.

scholarly journals Application of Multiblock Analysis on Small Metabolomic Multi-Tissue Dataset

Metabolites ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. 295
Author(s):  
Frida Torell ◽  
Tomas Skotare ◽  
Johan Trygg
Keyword(s):  
Principal Component Analysis ◽  
Data Integration ◽  
Statistical Power ◽  
Principal Component ◽  
Biological Properties ◽  
Analysis Method ◽  
Single Model ◽  
Integration Methods ◽  
Using Data ◽  
The Stability

Data integration has been proven to provide valuable information. The information extracted using data integration in the form of multiblock analysis can pinpoint both common and unique trends in the different blocks. When working with small multiblock datasets the number of possible integration methods is drastically reduced. To investigate the application of multiblock analysis in cases where one has a few number of samples and a lack of statistical power, we studied a small metabolomic multiblock dataset containing six blocks (i.e., tissue types), only including common metabolites. We used a single model multiblock analysis method called the joint and unique multiblock analysis (JUMBA) and compared it to a commonly used method, concatenated principal component analysis (PCA). These methods were used to detect trends in the dataset and identify underlying factors responsible for metabolic variations. Using JUMBA, we were able to interpret the extracted components and link them to relevant biological properties. JUMBA shows how the observations are related to one another, the stability of these relationships, and to what extent each of the blocks contribute to the components. These results indicate that multiblock methods can be useful even with a small number of samples.

Sign in / Sign up

Export Citation Format

Share Document