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18. . .1382
.
19. Baltagi ,H. Badi, 2005, Economic Analysis of Panel Data , 3
Ed ., England: John
Wiley & Sons,Ltd.
20. Benbelkacem,A. ,2009. A Stakeholder Discussion and Analysis
of Plant Breeding
and Related Biotechnology Capacity Assessment in Western Asia
and North
Africa. [Online] Available at: <
km.fao.org/gipb/images/pdf_files/-
WANA_RegionalAnalysis_DraftReport_fr.pdf > [Accessed 27
October 2011]
21. Borlaug N.E., 2000. The Green Revolution Revisited and The
Road Ahead. In:
Special 30th Anniversary Lecture, Rome. Available at:
22. Brazdik , F. 2006. Non-parametric analysis of technical
efficiency, Factors
affecting efficiency of west Javarice farms, Charles
University,Center,Economics
Institute [online] Available at:<
http://ssrn.com/abstract=1148203 >.[Accessed 20
August 2011]
23. Estudillo, J.P. , Otsuka, K. , 2002, Lessons from Three
Decades of Green Revolution
in the Philippines , The Developing Economies, [online]
Available
at:
[Accessed 12 June 2011].
24. Nakano, Y. et al., 2011. The Possibility of a Rice Green
Revolution in Large-scale
Irrigation Schemes in Sub-Saharan Africa, The World Bank ,
Development
Research Group. [online] Available at:<
http://water.worldbank.org/publications/possibility-rice-green-revolution-large-scale-
irrigation-schemes-sub-saharan-africa>
25. Takayama, T.,1959, A Study on the Cobb-Douglas Production
Function 'with
an Application to the Rice Prduction in Hokkaido, Hokkaido
University
Collection of Scholarly and Academic Papers : HUSCA,
Hokkaido
University.[online] Available at:<
eprints.lib.hokudai.ac.jp/dspace/bitstream/
2115/.../15_p210-187.pdf > [Accessed 13 January 2012]
-
59................................... (
........................................................ 55
5391)
19
26. http://www.cisa.ir
27. http://www.epa.gov
28. http://www.irri.org
-
21................................... (
........................................................ 55
5391)
02
The Study of the Effects of the Green Revolution on Agricultural
Crops Productivity in Gilan Province Using GMM
(A Case Study on Rice Production) Dr.Abbasali Abounoori9
Saedeh Faridkiyan10
Hadi Parhizi gashti11
Abstract:
Present study, is an attempt to estimate the high yielding
variety (HYV) of rice production in Gilan
province. Accordingly, the information of the variables of the
HYV of rice production,
mechanization , improved seeds , irrigation , fertilizers and
also pesticide consumption of this
province during 1172 to 1187 has been collected . After
estimating the model, using Time Series method and through the
production function Cobb-Douglas, according to the research aim
that is
Identification of the effects of factors such as mechanization,
fertilizers, pesticides and use of modified seeds, on the green
revolution in Iran", The variables that had been the most
influences on production and then the performance in high yielding
rice have been identified. Research results
suggest that changes in use of modern machinery and technology,
improved seeds, fertilizers,
pesticides and insecticides, are effective implementation on the
Green Revolution in Gilan province.
Because, as specified in the estimated model, with an increase
of improved seeds, the high yielding
variety (HYV) of rice production 0649 % would increase and also
With an increase of irrigation, production of this type of rice
0609 % would increase too which about both listed variables, the
assuming of being stable other condition, should be considered.
with an increase of ratio
mechanization level to the total acreage in harvesting stage and
with no change in other variables and
conditions, this type of rice production decreased 1611 % that
this due to the use of other agricultural products specific
machinery like wheat, in paddy rice in the stage of harvesting that
causes yield
reduction of this product. As is clear from the results of the
study the highest elasticity is related to
improved seeds and the greatest negative impact is related to
mechanization in harvesting stage.
Keywords: Green Revolution, Performance, Efficiency, Improved
seeds, mechanization, Cobb-
Douglas production function, GMM
JEL Classifications: 15Q 16Q
9.Assistant Professor of Economics, Islamic Azad
university,Central Tehran branch, E.Mail:[email protected]
12
.MA in Economics,E.Mail: [email protected] 11
.MA in Economics, E.Mail: [email protected]
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75.
9. BP statistical review of world energy June 2010
10. Gelb Bernard 2002 Caspian Oil and Gas: Production &
Prospects1
11. Caspian Sea Region 2002 Energy Information
Administration.
12. Wood John (2004) Long-Term World Oil Supply Scenarios Energy
Information
Administration.. 13. Non-OPEC Fact Sheet 2005 Energy Information
Administration.
14. Johnson Toni (2008) Non-OPEC Oil Production www.cfr.org.
7-
15. World Oil Chronology 1990-2007. Energy Information
Administration (EIA).
16. OPEC Analysis Briefs March 7 2007. Energy Information
Administration(EIA).
17. International Energy Outlook 2010. Energy Information
Administration (EIA).
18. Monthly Oil Survey June 2008. Energy Information
Administration (EIA).
19. Short Term Energy Outlook Supplement Outlook for Non OPEC
Supply 2010 Energy
Information Administration (EIA).
-
Studying the Effect of Non-OPEC Member States Supply on the
Price of Petroleum
Dr.Mohammad-Ali Khatib Semnani1
Dr.Ali Asghar Esmailnia2
Marjan Dehabadi3
Abstract:
This study deals with the changing trend of producing petroleum
by non-member states and its
effect on the global price of the petroleum. Using vector error
correction model, the hypothesis
of this research, i.e., " the petroleum supplied by OPEC
non-member states is one of the factors
affecting the price of petroleum in the global markets", have
been studied. The period of study
starts from 1991 to the end of 2006 and the variables are used
on a seasonal basis. The results of the static experiment,
Johansson convergence test and the vector error correction model
suggest
that there has been a convergent relationship between the
petroleum supply variable in the non-
OPEC member states and the price of petroleum both in the long
run and short term and there is
a negative relationship between the variable of petroleum supply
by nonmember states on the
variable of price and this proves the hypothesis.
Keywords: Non- OPEC countries, Oil Supplies from Non-OPEC
Countries, Oil prices.
JEL classification: C32 - N70 - Q41.
1.Assistant Professor of Economics, Islamic Azad
university,Central Tehran branch, E.Mail:
2.Assistant Professor of Economics, Islamic Azad
university,Central Tehran branch, E.Mail:
A_esmailnia @yahoo.com 3.MA in Energy Economics, Lecturer to
Payam Nour University,E.Mail:[email protected]
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19. Altinay, G. and Karagol, E. ,2004, "Structural break, unit
root, and the causality between energy
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Consumption and Economic Growth
in Turkey". Energy Policy, No. 36, PP. 3838-3842
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-
of Gas consumption on GDP of Iranian provinces Investigating the
impact
Armin Rajabzadeh1
Karim Moharramzadeh2
Ali Morad Paydar3
Abstract
The enforcement of the Iranian subsidy reform plan and removal
of subsidies on energy carriers
and especially on gas prices and the need to provide more
accurate and effective policy guidance
to advance this plan, necessitate the empirical studies on the
effects of different oil product's
consumption on GDP. The main objective of this study is to
investigate the impact of gas
consumption on GDP in Iranian provinces. The main question of
this study is whether the
reduction of gas oil consumption caused by subsidy reform plan
decelerates the GDP or not? In
order to answer this question, we use the Panel Data model and
quarterly data during 0848-0842 at
provincial level. The results indicate that, gasoline and gasoil
consumption have positive and
significant effect on GDP of Iranian provinces, such that, the
elasticity of provinces products with
respect to gasoline and gas consumption respectively was 2222.
The results also show that
development expenditures of government and population variables
have positive and significant
effect on GDP. The population (as a proxy of employment)
elasticity of production was larger
than the elasticity of production with respect to development
expenditures of government.
According to the results, we can argue that the limitation of
oil products consumption can
decelerate the value added. Thus, we recommend that the
government should give the solutions
of economizing the gas consumption in order to prevent the
negative externalities of the subsidy
reform plan. JEL Classification: O08, C02, C12, C22
Key words: value added; Oil products consumption; Panel Data;
Iranian provinces.
1.Department of Marketing Management, Payame Noor
University,E.Mail:
2.Department of Economic, Islamic Azad University,.
3.Department of Marketing Management, Payame Noor
University,.
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-
A comparative study of the effect of financial development on
economic growth in
developed and developing countries using panel data (5791-8002)
Dr.Ghodratolah Emamverdi
56
Mehdi Farahani59
Fateme Shaghaghi52
Abstract:
In this study, The effect of financial development on economic
growth in both developed and
developing countries will And will be discussed Whether the
financial development indicators have a positive effect on economic
growth
And it works in both developed and developing countries are
different or not?
Statistical studies have been conducted on three groups in 120
countries Statistical studies have been conducted on three groups
in 120 countries. Calculations for total has offered initially and
then 120 countries have been divided into two categories. 53
high-income countries (including America, Germany, France, etc.)
and the average high and average low of 67 low-income countries
(including Pakistan, India, Iran, etc) for the years 2008-1975 as
is taken. Indicators of stock market development as well as
indicators of financial development, we took
advantage. Contracts to Panel and GMM techniques are used. Model
results suggest that Positive relationship between financial sector
development and economic growth Two groups of
high-income countries and low-income and low-middle and middle
to high, there is And the effect of high and middle-income
countries is stronger.
Key words: Financial Markets, Finance Development ,Economic
development ,Developing
countries ,the generalized method of moments
JEL Classification : E17, E42, E47, E52, E58
16
.Assistant Professor of Economics, Islamic Azad
university,Central Tehran branch,
E.Mail:[email protected] 17
.P.h.D student at the University of Shiraz & techer of
Economics in Islamic Azad university,Karaj branc, E.Mail:
[email protected] 18
.MA in Economics,E.Mail: [email protected]
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24.
23. ( 1388 )
40.
24. (. 1377 . .)
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25. ( 1376 )
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26. (1376 . . .)
.
27. C. Brooks introductory econometrics for finance Cambridge
university press 2002 170 -
190.
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Unwin 1976.
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and Agglomeration: A
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export performance: A
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149-164.
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countries I.M.F. Staff
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evidence from Firm level
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36. www.cbi.ir
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-
21. ( 14 1391)
Investigation of effective factors on non-oil exports with
emphasis on non-price variables
Dr.Farhad Dejpasand12
Meysam Amiry13
Benyamin Saveh14
Abstract:
One of the ways for encouraging economic development in oil
exporting countries like Iran
(which is known as an oil-dependent economy) is moving toward
diversification of export
revenues rapidly by increasing non-oil exports. This goal is not
accessible without a
comprehensive survey and examination of factors that affects
non-oil exports condition.
Although, in many developed countries, export and import
analysis is performed in framework
of relevant price variables (Also in our country most of the
surveys have not gone beyond this
framework).But it seems that institutional, scientific,
technological and management factors have
much greater effect on export variables in Iran in comparison to
other countries. Hence, in this
article we have tried to go beyond previous studies by adding
real and non-price factors to
quantitative model of non-oil export in order to estimate their
impacts.In order to do this, we
have considered non-oil exports to be a function of real
exchange rate, total factor productivity,
gross national product and the degree of openness of the
economy. In addition, we have used
ARDL for estimating the model and investigating the effects of
each of these factors on non-oil
export during 1975-2007. Finding of this paper shows that
non-oil export is significantly and effectively, dependant on
non-price variables. The results of our estimation show that
productivity, degree of economic
openness and GDP have positive effects on non-oil export. Albeit
according to basic problems in
production and export and according to our estimations, we claim
that exchange rate does not
have a significant impact on non-oil export.
Keywords: Non-Oil Exports, Real Exchange Rate, Total factor
productivity, Economic
openness, ARDL
JEL Classification: C50D24F43E3
12
. Assistant Professor, School of Economics and Political
Science, Shahid Beheshti University, E.Mail:
[email protected] 13 .PhD student at Tehran University,
School of Economics, E.Mail: [email protected] 14 .Master planned
economic system Shahid Beheshti
University,E.Mail:[email protected]
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