The main purpose of this work is to analyze the impact of environmental degradation proxied by CO2 emissions per capita along with some other explanatory variables namely energy use, trade, and human capital on economic growth in selected higher CO2 emissions economies namely China, the USA, India, and Japan. For empirical analysis, annual data over the period spanning between 1971 and 2013 are used. After using relevant and suitable tests for checking data properties, the panel fully modified ordinary least squares (FMOLS) method is employed as an analytical technique for parameter estimation. The panel group FMOLS results reveal that almost all variables are statistically significant, whereby test rejects the null hypotheses of non cointegration, demonstrating that all variables play an important role in affecting the economic growth role across countries. Where two regressors namely CO2 emissions and energy use show significantly negative impacts on economic growth, for trade and human capital, they tend to show the significantly positive impact on economic growth. However, for the individual analysis across countries, the panel estimate suggests that CO2 emissions have a significant positive relationship with economic growth for China, Japan, and the USA, while it is found significantly negative in case of India. The empirical findings of the study suggest that appropriate and prudent policies are required in order to control pollution emerging from areas other than liquefied fuel consumption. The ultimate impact of shrinking pollution will help in supporting sustainable economic growth and maturation as well as largely improve society welfare.

This study aimed to explore the determinants of renewable energy consumption in selected Association of Southeast Asian Nations (ASEAN) countries by emphasizing the significant role played by the quality of governance. This paper is classified according to the coverage of three dimensions approach (economic, environment, and governance) for sustainability. This study employed panel data analysis to examine the relationship between GDP, CO 2 emissions, foreign direct investment, trade openness, urbanization, and quality of governance on renewable energy consumption in selected ASEAN countries from 1990 to 2016. The results revealed that urbanisation has a significant positive impact on renewable energy based on FMOLS and DOLS analyses while the quality of governance has a significant positive impact on renewable energy based on pooled mean group analysis in the long run. However, GDP and trade openness have a significant negative impact on renewal energy. The elasticity analysis in the short run revealed that none of the factors applied in this study affected renewable energy consumption. Hence, several policies are recommended as an excellent approach to meet the energy demand of private investors and future generations.

The objective of this paper is to examine the effects of oil price shock on inflation in Malaysia, using monthly data from 2005 to 2011. VAR-VECM and Granger Causality model were employed to analyze the data. The cointegration between all variables are existence also at 5% significant level in the long run. But in the short run, only oil crude price affected the inflation. For granger causality test, we found that the inflation does not granger cause to the exchange rate but it does granger cause to the oil price. The oil price does granger cause to the inflation but it does not granger cause to the exchange rate. The exchange rate does not granger cause to both of the variables (Inflation and Oil Price). So, the oil crude price can give an effect on inflation. If the rate of oil crude price changes, the inflation also changes. This finding will contribute to Malaysian government in making policy to control the petrol price to avoid from the inflation.

Purpose-The purpose of this paper is to investigate the factors affecting cooperatives performance by focussing on the roles of its intangible assets which are in the form of intellectual capital and members' participation. Design/methodology/approach-Questionnaires have been distributed among cooperatives board of members of the 100 best cooperatives in Malaysia. This study used Pearson correlation and multiple regression analysis to examine the impact of intellectual capital and members' participation on the cooperatives performance and determine the most influencing factors that affect the performance. Findings-Results showed that there is a positive relationship between structural capital, relational capital and members' participation with the cooperatives performance while human capital has been found to have a negative relationship. This is further supported by the findings based on the multiple regression analysis whereby all the independent variables were found to be significant expect for structural capital. Based on the findings, this study proposed a model for co-operatives' performance which is based on its intangible assets. Practical implications-Findings of this study would provide guidance for the cooperatives sector to improve its performance and indirectly help the government in realizing the nation economic goals. Originality/value-This study provided a better understanding on the performance of the cooperatives by focussing on the roles of its intangible assets. Apparently, there are very limited studies on intellectual capital which is based on cooperative framework and thereby this present study would fill in the gap. In addition, due to the objective of the cooperatives which differs from other types of organization, findings of this study might provide significant contribution on the study of intellectual capital.

The purpose of this paper is to examine the factors believed to affect compliance behavior with regard to the zoning regulation of 284 Peninsular Malaysian fishermen. Frequent violation of regulations will have an impact on the demand for protection, and therefore lead to greater expenditure on law enforcement. The theoretical models of compliance behavior tested include the basic deterrent model, which focuses on the certainty and severity of penalty as a key determinant of compliance, and models which integrate economic theory with theories of social psychology to account for legitimacy, deterrence and other motivations expected to influence an individuals' decisions on whether to comply. Policy makers who want to improve compliance face two choices: the first choice is whether to focus only on building staff capacity to detect and correct non-compliance; and the second choice is a combination of the strategies in building staff capacity and at the same time building commitment among fishermen so that they will comply with the regulations. The results of the empirical analysis provide evidence of the relationship between co-management strategies on the one hand, and types of fishermen on the other. These findings imply that co-management activities should be strengthened to complement the deterrent strategies in the management of fishery resources in Peninsular Malaysia.