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Articles by Alias Radam
Total Records ( 4 ) for Alias Radam
  Nik Nor Rahimah Nik Ab Rahim , Mad Nasir Shamsudin , Awang Noor Abd. Ghani , Alias Radam , Latifah Abd. Manaf , Sara Kaffashi and Norfashah Mohamed
  Solid Waste Management (SWM) is a critical issue in Kota Bharu, a compacted city in east coast of West Malaysia. The amalgamation of dwindling financial resources and population growth results in incompetency in controlling and handling excessive solid waste generation, giving rise to adverse effects on environment and public health. This study was attempted to evaluate acceptance of the communities towards introducing Integrated Solid Waste Management (ISWM) to alleviate the drawbacks of current solid waste management. Single-bounded Dichotomous Contingent Valuation Method (DC-CVM) was conducted to estimate communities’ Willingness to Pay (WTP). Primary data obtained through personal interview were analyzed using a logit model. The model estimation shows age, income and occupation are significantly influential in determining the communities’ willingness to pay. The monetary figure derived from the model shows the willingness to pay value of RM 13.91 (USD 4.40) per month. The consciousness of environmental degradation due to current solid waste management drives the communities to yearn for improvement initiatives. The study suggests that intervention by authority to introduce integrated solid waste management is required.
  Lira Mailena , Mad Nasir Shamsudin , Alias Radam and Ismail Latief
  Malaysian rice farming is still constrained by the low productivity despite many supports and subsidies that have been enacted to this sector. The difficulties in improving the yield is potentially caused by the unintensive use of inputs due to the inefficient management on the rice farm. Thus this study aims to measure the rice farm efficiency and factors affecting that efficiency. Two stage analysis was adopted whereas in the first stage data envelopment analysis was used and corrected by the bootstrap method. Then in the second stage a Tobit model was employed to estimate factors affecting the efficiency. On average, the technical efficiency score estimated by DEA was about 0.6375 and implied with a given amount of inputs, the rice farms could increase its output by 57.31%. However, after correcting for the bias, the technical efficiency score was about 0.5366 and indicated that rice farms in MADA could increase its output at 86.35%. Further, by considering the lower and the higher bounds of efficiency scores, on the average, the rice farms could increase its output in the range from 20.13-99.12 with 95% confidence interval. Three factors that significantly affect the rice farm efficiency were the household size, land ownership and secondary level of education of sampled farmers. The positive significant effect of household size implied that farms with more household member was appeared to be more efficiently manage their production. Then, the negative effect of land ownership to the efficiency implied farmers who had the own land were tend to be more inefficient than those who rent the land. It was related to their motivation on the production whereas tenant farmers were more motivated to improve their production and get higher income so that they strived to manage the production in a professional manner and receptive to new technology as well. Further, farmers with secondary education level more efficiently managed the rice farm than others because of their passion for managing their production.
  Negin Vaghefi , Mad Nasir Shamsudin , Alias Radam and Khalid Abdul Rahim
  Agricultural sector is one of the sensitive areas that would be affected by the changes in key climatic elements. This study assesses the possible impact of climate change on the Malaysian rice production. The study employed DSSAT Crop Simulation Model to predict the rice yields in the eight granary areas of Peninsular Malaysia until 2030, based on projected weather data and current management practices. Increase in temperature and variations in rainfall pattern over the growing period were found to affect the rice yield. The results indicated that rice yield, during 2013 to 2030, compared to the base values are expected to decrease by12.2, 13.6, 8.7, 8.4, 15.2, 16.8, 11.4 and 18.6% for the main season and 45.5, 19.4, 33.9, 36.3, 34.5, 47.8, 21.8 and 7.5% for the off season for MADA, KADA, Kerian, BLS, Pulau Pinang, Seberang Perak, Ketara and Kemasin, respectively. These results showed that rice yield would be more negatively affected by the climate change during off season rather than main season.
  Lira Mailena , Mad Nasir Shamsudin , Alias Radam and Zainalabidin Mohamed
  In the context to achieve the self sufficiency in rice production at 75% of local consumption, Malaysian authority consistently encourages the increase of rice production by the improvement of the yield through the utilization of the optimal input used, new technology and farm management. However, these efforts is hampered by the low productivity which is caused mainly by the inefficient used of input and subsequently affects the production inefficiency as well. Hence, in order to address those problems, this study aims to measure the production and subtitution elasticity, the existing level of rice farm efficiency and determinants of the efficiency using the stochastic frontier analysis. Out of five inputs, land, seed and chemical significantly influence the rice farms in MADA, Malaysia. Further, since the rice farms operated at the increasing return to scale, there was a possibility to increase the production by improving the input use. On average, the sampled farms in this study had the tecnical efficiency at 0.854 and implied those rice farms still could increase its output about 14.6% at a given inputs. The farmer’s access to credit and their education level were the important determinant upon the rice farms technical efficiency.
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