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Sources of Agricultural Productivity Differences between Israel, Jordan, Lebanon and Syria using DEA

Sources of Agricultural Productivity Differences between Israel, Jordan, Lebanon and Syria using DEA

Emile J. Salame
Copyright: © 2014 |Volume: 2 |Issue: 2 |Pages: 15
ISSN: 2160-9837|EISSN: 2160-9845|EISBN13: 9781466656123|DOI: 10.4018/ijpmat.2014040104
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MLA

Salame, Emile J. "Sources of Agricultural Productivity Differences between Israel, Jordan, Lebanon and Syria using DEA." IJPMAT vol.2, no.2 2014: pp.47-61. http://doi.org/10.4018/ijpmat.2014040104

APA

Salame, E. J. (2014). Sources of Agricultural Productivity Differences between Israel, Jordan, Lebanon and Syria using DEA. International Journal of Productivity Management and Assessment Technologies (IJPMAT), 2(2), 47-61. http://doi.org/10.4018/ijpmat.2014040104

Chicago

Salame, Emile J. "Sources of Agricultural Productivity Differences between Israel, Jordan, Lebanon and Syria using DEA," International Journal of Productivity Management and Assessment Technologies (IJPMAT) 2, no.2: 47-61. http://doi.org/10.4018/ijpmat.2014040104

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Abstract

In the present chapter agricultural productivity in four countries Israel, Jordan, Lebanon and Syria is examined. A thorough look at previous studies that considered those countries is provided. The data used is drawn from the Food and Agriculture Organization of the United Nations and adjusted, covering the period of 1972 through 2006. The study utilizes Data Envelopment Analysis (DEA) to calculate Malmquist productivity indices. The study looks at the tendencies in agricultural productivity for the four countries throughout the 35 years, in which wars and conflicts took place. The estimates of efficiency change, technical change, and total factor productivity change obtained for the four countries are calculated. Moreover, a model for technical inefficiency effects in a stochastic frontier production function is suggested to provide a possible explanation of the sources of inefficiencies and the effect of each inefficiency variable.

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