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Articles by Ali Bakhshi
Total Records ( 2 ) for Ali Bakhshi
  Reza Moghaddasi , Ali Bakhshi and Mahmood Daneshvar Kakhki
  Problem statement: Because of growing demand for water resources, increasing cost of supplying water and overdraft of underground waters, economists suggest water pricing policy to improve water allocation efficiency in Iran. While due to political risk, economic and cultural concerns, government tends to reject that advice. This study addressed questions of what policy alternatives to water pricing could be used to improve irrigation water allocation efficiency. Approach: Three policy options include water pricing, water complementary input factor taxes and output taxes were examined. In order to minimize the problems of bias produced by fully aggregated models, sample farms were classified into homogeneous groups of farmers by means of clustering technique. The analysis carried out by means of Positive Mathematical Programming (PMP), utilizing quadratic cost functions. Results: Results showed that effects of alternative policies were strongly dependent on group of farmers and that would create widespread effects on policy goals across clusters. The results also indicated that water pricing policy worked well in reducing the irrigation water use when the water price level was high and will have, in most cases, higher effects than other policy scenarios. Conclusion: Low level of input taxation wasn't a good driver in decreasing irrigation water demand and keeping the welfare level. Water pricing and output tax policies were better suited and effective than water complementary input factor taxation but both input factor tax and output tax policy at certain rates could be alternatives to water pricing policy. Water pricing policy had noticeable effects on social and environmental goals, while input and output taxes had small effects on that goals.
  B. Sahar Ansari , R. Vasudevan , M. Mirinargesi , I. Patimah , A.R. Sabariah , P. Pasalar and Ali Bakhshi
  Problem statement: Glutathione S-transferase is super family genes that encode enzymes which involve in the detoxification of the cell and protects DNA from damage. Conflicting results was found in several studies in association with GSTT1 and GSTM1 gene polymorphisms and prostate cancer. In this study, we determined the association between the GSTT1 and GSTM1 gene polymorphism and prostate cancer in Iranian subjects as control with control subjects. Approach: Sixty number of sample were collected from both case and control at Milad hospital, Tehran, Iran who were above 40 years of old. Genomic DNA was extracted from blood and the detection of GSTT1 and GSTM1 genotypes was done using multiplex PCR method. Results: The frequency of the null alleles in GSTT1 and GSTM1 was 15 and 41.66% respectively in prostate cancer patients and 21.66 and 56.66% respectively in control subjects. There was no association was found between the polymorphism and prostate cancer among Iranian subjects (p>0.05). Conclusion: This study failed to show an association with GSTT1 and GSTM1 gene polymorphisms and prostate cancer and has no susceptibility to Iranian prostate cancer subjects.
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