Cigarettes demand and tax strategy in Malaysia

Taxation is one of the effective tools to discourage smoking. Increase of cigarette tax has a significant effect in generating additional revenue to the government due to the inelastic nature of the cigarette. In this study, the estimated price elasticity of demand for cigarettes in Malaysia is -0.28 and -0.49 in short run and long run; respectively. Hence, demand for cigarettes is inelastic or less responsive to the changes in price. Therefore, estimating the optimal cigarette tax rate is one of the strategies to ensure that the price of cigarette, after tax, is high enough to reduce consumption of cigarette. At the same time, it generates maximum tax revenue for the government. Using yearly time series data from 1980 until 2009, a Fully Modified Ordinary Least Square (FMOLS) method is applied to estimate the demand elasticity of cigarettes and the optimal cigarettes excise tax. In this study, the estimated optimal real excise tax rate is 0.186 sen per stick which is 27.4% higher than the real excise tax in 2009. The increase in real revenue earned after imposing an optimal excise tax is 24.25% in the short run and 21.89% in the long run. Consequently, the expected reduction in consumption per capita of cigarette is 10.41% in the short run and 12.88% in the long run. Maximum revenues from the optimal cigarettes tax can be earmarked to fund a specific tobacco control policy in Malaysia

Cigarettes demand and tax strategy in Malaysia

Taxation is one of the effective tools to discourage smoking. Increase of cigarette tax has a significant effect in generating additional revenue to the government due to the inelastic nature of the cigarette. In this study, the estimated price elasticity of demand for cigarettes in Malaysia is -0.28 and -0.49 in short run and long run; respectively. Hence, demand for cigarettes is inelastic or less responsive to the changes in price. Therefore, estimating the optimal cigarette tax rate is one of the strategies to ensure that the price of cigarette, after tax, is high enough to reduce consumption of cigarette. At the same time, it generates maximum tax revenue for the government. Using yearly time series data from 1980 until 2009, a Fully Modified Ordinary Least Square (FMOLS) method is applied to estimate the demand elasticity of cigarettes and the optimal cigarettes excise tax. In this study, the estimated optimal real excise tax rate is 0.186 sen per stick which is 27.4% higher than the real excise tax in 2009. The increase in real revenue earned after imposing an optimal excise tax is 24.25% in the short run and 21.89% in the long run. Consequently, the expected reduction in consumption per capita of cigarette is 10.41% in the short run and 12.88% in the long run. Maximum revenues from the optimal cigarettes tax can be earmarked to fund a specific tobacco control policy in Malaysia

College students perception on physical education classes during their high school days

This purpose of this study is to identify and investigate whether there are similarities or differences between genders regarding the perceptions on physical activities of college university students in one of the largest University in Kuala Lumpur, Malaysia. The focus was on three main categories, namely general knowledge, physical education and scientific basis of physical activities. Each category contained questions which serve to evaluate their perceptions about physical activities. The questionnaire was adapted from a journal article on a study done by Mowatt, DePauw and Hulac (1988). This study investigates the perceptions of 113 students (55 males; 65 females) aged between 19 and 25 about physical activities, using the above-mentioned categories. Results of the t-test showed significant differences for general knowledge, t(23) = 3.9, p0.05 no significant differences in means were found between the male and female students

Canagliflozin and renal outcomes in type 2 diabetes and nephropathy

BACKGROUND Type 2 diabetes mellitus is the leading cause of kidney failure worldwide, but few effective long-term treatments are available. In cardiovascular trials of inhibitors of sodium–glucose cotransporter 2 (SGLT2), exploratory results have suggested that such drugs may improve renal outcomes in patients with type 2 diabetes. METHODS In this double-blind, randomized trial, we assigned patients with type 2 diabetes and albuminuric chronic kidney disease to receive canagliflozin, an oral SGLT2 inhibitor, at a dose of 100 mg daily or placebo. All the patients had an estimated glomerular filtration rate (GFR) of 30 to <90 ml per minute per 1.73 m2 of body-surface area and albuminuria (ratio of albumin [mg] to creatinine [g], >300 to 5000) and were treated with renin–angiotensin system blockade. The primary outcome was a composite of end-stage kidney disease (dialysis, transplantation, or a sustained estimated GFR of <15 ml per minute per 1.73 m2), a doubling of the serum creatinine level, or death from renal or cardiovascular causes. Prespecified secondary outcomes were tested hierarchically. RESULTS The trial was stopped early after a planned interim analysis on the recommendation of the data and safety monitoring committee. At that time, 4401 patients had undergone randomization, with a median follow-up of 2.62 years. The relative risk of the primary outcome was 30% lower in the canagliflozin group than in the placebo group, with event rates of 43.2 and 61.2 per 1000 patient-years, respectively (hazard ratio, 0.70; 95% confidence interval [CI], 0.59 to 0.82; P=0.00001). The relative risk of the renal-specific composite of end-stage kidney disease, a doubling of the creatinine level, or death from renal causes was lower by 34% (hazard ratio, 0.66; 95% CI, 0.53 to 0.81; P<0.001), and the relative risk of end-stage kidney disease was lower by 32% (hazard ratio, 0.68; 95% CI, 0.54 to 0.86; P=0.002). The canagliflozin group also had a lower risk of cardiovascular death, myocardial infarction, or stroke (hazard ratio, 0.80; 95% CI, 0.67 to 0.95; P=0.01) and hospitalization for heart failure (hazard ratio, 0.61; 95% CI, 0.47 to 0.80; P<0.001). There were no significant differences in rates of amputation or fracture. CONCLUSIONS In patients with type 2 diabetes and kidney disease, the risk of kidney failure and cardiovascular events was lower in the canagliflozin group than in the placebo group at a median follow-up of 2.62 years

Analytic Hierarchy Process (AHP)-Based Materials Selection System For Natural Fiber As Reinforcement In Biopolymer Composites For Food Packaging

The biodegradability of a material has been an important measure in packaging design. Green biocomposites, which are made of natural fiber and biopolymer matrix, are promising alternative materials in single-use packaging to replace conventional materials. Selection of the most suitable natural fiber for reinforcement in green biocomposites is an initial attempt towards reducing resources depletion and packaging waste dumping. A selection system of analytic hierarchy process (AHP)-based method is proposed. Food packaging materials’ requirements and production factors are the basis of selecting 13 vital characteristics of natural fibers as the selection criteria. Nine natural fibers were assessed based on data gathered from recent literature. From the results, ijuk obtained the highest priority score (14%). Whilst, sisal had the lowest rank with a score of 8.8%. Sensitivity analysis was then performed to further validate the results, and ijuk remained at the top rank in four out of the six scenarios tested. It was concluded that ijuk is the most suitable natural fiber for reinforcement in green biocomposites for food packaging design. Nonetheless, for future development, more comprehensive selection criteria, such as fiber specific properties, fiber processing, and fibre treatment, are suggested to be included in the framework for more comprehensive results

Wnioskowanie statystyczne w wyborze materiału osnowy polimerowej kompozytów z włóknami naturalnymi

In this paper, statistical inferences in material selection of polymer matrix for natural fiber composite are presented. Hypothesis testing and confidence interval were used to evaluate the suitability of the sample for use as a matrix in natural fiber reinforced composites. The screening process for material selection was carried out using a stepwise regression method. Then, the ranking process in material selection was conducted using an estimation of performance score (PS) for mechanical properties such as impact strength (IS), elongation at break (E) and tensile strength (TS). Ten types of polymer were involved in the study. The final selection revealed that polyamide (PA6), polyurethanes (PUR) and polypropylene (PP) are the potential candidates to manufacture hand-brake levers according to IS, E and TS, respectively. Here, it was found that the score for Tp (thermoplastic) is better than Ts (thermoset) in terms of IS. In contrast, the Ts offered a better score result than, Tp, with respect to E and TS. The results of statistical measurements using statistical modelling prove that the data analysis can be used as a part of the decision making in material selection.Opisano wnioskowanie statystyczne dotyczące wyboru materiału osnowy polimerowej kompozytu z włóknami naturalnymi. Testy hipotez statystycznych i przyjęte przedziały ufności służyły do oceny próbki pod względem przydatności do zastosowania w charakterze osnowy polimerowej w kompozycie wzmocnionym włóknem naturalnym. Selekcji materiałów dokonano przy użyciu metody regresji krokowej, następnie uszeregowano wybrane materiały z wykorzystaniem rankingu oceny (PS) właściwości mechanicznych, takich jak: udarność (IS), wydłużenie przy zerwaniu (E) i wytrzymałość na rozciąganie (TS). Wyselekcjonowano wstępnie 10 rodzajów polimerów zaliczanych do grup polimerów termoplastycznych (Tp) i termoutwardzalnych (Ts). Wnioskowanie statystyczne wykazało, że poliamid (PA6), poliuretany (PUR) i polipropylen (PP) są potencjalnie korzystnymi osnowami polimerowymi do wytwarzania dźwigni hamulca ręcznego. Stwierdzono, że polimery z grupy Tp wykazują lepszą udarność niż polimery z grupy Ts. Natomiast materiały Ts charakteryzują korzystniejsze wartości wydłużenia przy zerwaniu i wytrzymałości na rozciąganie niż ich odpowiedniki z grupy Tp. Wyniki przeprowadzonej analizy danych z zastosowaniem modelowania statystycznego dowodzą, że metoda ta może być pomocna przy wyborze materiału odpowiedniego do planowanej aplikacji

Statistical inferences in material selection of a polymer matrix for natural fibre composites

In this paper, statistical inferences in material selection of polymer matrix for natural fiber composite are presented. Hypothesis testing and confidence interval were used to evaluate the suitability of the sample for use as a matrix in natural fiber reinforced composites. The screening process for material selection was carried out using a stepwise regression method. Then, the ranking process in material selection was conducted using an estimation of performance score (PS) for mechanical properties such as impact strength (IS), elongation at break (E) and tensile strength (TS). Ten types of polymer were involved in the study. The final selection revealed that polyamide (PA6), polyurethanes (PUR) and polypropylene (PP) are the potential candidates to manufacture hand-brake levers according to IS, E and TS, respectively. Here, it was found that the score for Tp (thermoplastic) is better than Ts (thermoset) in terms of IS. In contrast, the Ts offered a better score result than, Tp, with respect to E and TS. The results of statistical measurements using statistical modelling prove that the data analysis can be used as a part of the decision making in material selection