ORIGINAL_ARTICLE
Efficiency Analysis in the Agricultural Sector in Iran: The Case of West Azerbaijan Sunflower Producers
The main purpose of this study is to analyze the efficiency of sunflower production in the West Azerbaijan province of Iran. In many previous studies conducted in Iran, efficiency analyzes of agricultural producers were examined with parametric methods in general. However, in this study, performance analysis of sunflower production by using Tobit model with Data Envelopment Analysis (DEA), which is known as nonparametric method, is discussed. The technical inefficiency and scale inefficiencies of sunflower producers in the West Azerbaijan province of Iran were 26.2% and 7.5%, respectively and the ineffective production results revealed. The performance of the producers varied between 12.1% and 100%, indicating a large difference in performance. In addition, some social and economic factors have significant effects on technical inefficiency of sunflower production in West Azerbaijan province of Iran.
https://www.ijmae.com/article_114560_dbe9c397b7dd7ad7891f626803071e4d.pdf
2019-05-01
389
399
Technical Efficiency
Scale Efficiency
Data Envelopment Analysis
Sunflower
Iran
Saeid
Hajihassaniasl
saeidhha@gantep.edu.tr
1
Department of Economics, Gaziantep University, Gaziantep, Turkey
LEAD_AUTHOR
Banker, R.D., Charnes, A. & Cooper, W.W. (1984). Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science 30(9):1078-1092.
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Coelli, T.J. (1996). A Guide for DEAP version 2.1. A Data Envelopment Analysis (Computer) Program. CEPA working paper 96/98. University of New England.
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Coelli, Timothy J., Rao, D.S.P., O'Donnell, Christopher J. & Battese, George E. (1998). An Introduction to Efficiency and Productivity Analysis. USA: Springer.
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Cooper, W. W. & Knox Lovell, C. A. (2000). New Approaches to Measures of Efficiency in DEA: An Introduction. Journal of Productivity Analysis. 13: 91–92.
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10
Hajihassaniasl, S. (2003). Investigation and Estimation of Sunflower Production Function in West Azarbaijan province for the Period of 1981-2001, M.A Thesis, Tabriz Azad University, Tabriz, Iran.
11
Jaforullah, M. & Whiteman, J. (1999). Scale Efficiency in New Zealand Dairy Industry: a Non- parametric Approach. Australian Journal of Agricultural and Resource Economics, 43(4):523-32.
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15
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16
Liu, S., Zhang, P., He, X. & Li, J. (2015). Efficiency Change in North-East China Agricultural Sector: A DEA Approach. Agric.Econ – Czech, 61(11):522–532.
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Long, J.S. (1997). Regression Models for Categorical Limited Depended Variable. London: SAGE publication.
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Mohammadi, H. & Barim Nejad, V. (2005). Measurement of Technical, Economic, Allocative and Scale Efficiency in Production Cooperatives Using Random Frontier Method and Data Envelopment Analysis Method: Case Study of Qom Province, The 5th Annual Conference of Iranian Agricultural Economy, Sistan and Baloochestan University, Iran (In Persian).
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21
Opande Majiwa, E.B. (2017). Productivity and Efficiency of the Agricultural Sector: Africa wıth a Special Focus on Rice Farming and Processing in Kenya, Doctoral Thesis, Queensland University of Technology.
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Riahi, F., Taheri, O. & Mohammadi, M. (2015). Estimation of Technical Efficiency of Rice (Case Study of Mobarakeh Rice Producer), The 3rd National Conference of Academic Students in Agriculture and Natural Resources, Karaj, Campus of Agriculture and Natural Resources of Tehran University, Karaj, Iran (In Persian).
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27
ORIGINAL_ARTICLE
The Influence of Total Factor Productivity towards the Economic Growth of Indonesia
Economic growth is one of the major keys in the development of a country. This research aims to analyze the effect of capital accumulation growth, the regional minimum wages, and total factor productivity growth against Indonesia's economic growth. The analysis in this study uses the equation by the method of Error Correction Model (ECM). This study analyzed the relationship between the independent variable and the dependent variable, both in the short-term and long-term. Estimation results show that in the short-term both the variable capital accumulation, the regional minimum wage and total factor productivity growth affect Indonesia's economic growth but in the long-term, there are two variables that influence positive and insignificant i.e. investment, the Regional Minimum wage affects economic growth in Indonesia. And Total Factor Productivity growth in the long-term have a positive and significant influence on economic growth in Indonesia. Thus, it can be concluded that Total Factor Productivity is the main determining factor affecting economic growth in Indonesia.
https://www.ijmae.com/article_114561_2c4f1e26881161869f722821261decc2.pdf
2019-05-01
400
413
Economic Growth
Capital accumulation
Wage
productivity growth
Sarah
Dina
sarah.dina87@gmail.com
1
Department of Economics, State University of Medan, North Sumatra, Indonesia
LEAD_AUTHOR
Indra
Maipita
imaipita@gmail.com
2
Department of Economics, State University of Medan, North Sumatra, Indonesia
AUTHOR
Zahari
Zein
zahari.zen@gmail.com
3
Department of Economics, State University of Medan, North Sumatra, Indonesia
AUTHOR
Arsyad, L. (2002). Pengantar Perencanaan Dan Pembangunan Ekonomi Daerah.
1
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Jhingan, M. L. (2006). The Economics of Development and Planning. Vrinda Publications (p) LTD.
5
Johannes, T. A., & Njong, A. M. (2012). Fiscal policy, labor productivity growth and convergence between agriculture, and manufacturing: Implications for poverty reduction in Cameroon. Asian Social Science. https://doi.org/10.5539/ass.v8n 4p190
6
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10
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11
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15
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16
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18
ORIGINAL_ARTICLE
The Dimensions of Mystery Shopping Program (DMSP) - Checklist Construction
The purpose of this study is to develop a checklist (yardstick) which can be used widely across various industries employing mystery shoppers. This research paper focuses on the development of a checklist instrument after a detailed critical review of various theories, concepts and themes associated with mystery shopping. Mystery shopping is being used in many industries such as banking and insurance, Retail and marketing, Government department, entertainment etc., and hence a common yardstick has to be framed which could be used to measure the outcome of mystery shopping assignments. Thus, the research motivation is to construct a checklist for mystery shoppers to evaluate the mystery shopping field work. Selected research articles were taken to critically analyze the theme of mystery shopping. Rigorous efforts had been taken to understand the usage of mystery shopping in various industries to form a common pool of statements which forms the “The Dimensions of Mystery Shopping Program” (DMSP-checklist construction). To ensure the relevance of a common checklist which can be used across various industries, detailed explanation on how the variables had been selected has been explained. Qualitative software named Dedoose, which is now very popular in Social Science, has been used to find the most promising variables. The study concludes that measuring the customers shopping experience is more important for a mystery shopping filed work considering three important variables to be seen in checklist such as: product knowledge, service & customer experience.
https://www.ijmae.com/article_114562_4dd2dbad45ee2fdd474aa4ebbc9e64ee.pdf
2019-05-01
414
426
Mystery shopping
Checklist construction
Customer experience
Customer service
customer satisfaction and loyalty
feedback
Raja M
Anand
anand.shankar@christuniversity.in
1
Assistant Professor, Department of Commerce, CHRIST (Deemed to be University), Bengaluru, Karnataka, India
LEAD_AUTHOR
A.M, W. (1998). The role of mystery shopping in the measurement of service performance. Managing Serice Quality , 414-420.
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Anand Shankar Raja M. (2017). A case study analysis using mystery shopping in the retail sector. International Journal of Recent Scientific Research Research , 19829-19831.
2
Anand Shankar Raja M; , Dr R Angayarkanni. (2015). Emotional Intelligence an Essential Cause for Mystery Shoppers. Int. J.International Journal of Pharmaceutical Sciences Review and Research,35(2), November – December 2015; Article No. 34, Pages: 186-190 ISSN 0976 – 044X , 186-190.
3
Anand Shankar Raja M;, Dr R Angayarkanni. (2015). Office management challenge using mystery shopping. International Journal of Commerce, Business and Management (IJCBM),ISSN: 2319–2828 , 977-987.
4
Anand, Sruti. (2015). Mystery Shopping: A Marvelous Tool in the Hands of Organized Retailers. International Journal of Management, Innovation & Entrepreneurial Research (IJMIER) , 18-21.
5
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6
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10
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12
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13
Dr R Angayarkanni, Anand Shankar Raja M. (2016). A Study on the Logical Relationship Between Emotional Intelligence, Job Satisfaction and Motivation among Mystery Shoppers: A Pilot Study Analysis. nternational Business Management,Year: 2016 | Volume: 10 | Issue: 6 | Page No.: 818-826 .
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