Sugar Beet is one of the essential sources of energy. However, most of the division in Iran supply sugar beet through domestic production. The present study is going to investigate the causal relationship between sugar beet supply and sugar price in Iran between the year 1995 to 2016. By  Applying the Johansen-Juselius cointegration method along with Granger causality test. Besides,  this research going to analyse the causal relationship between sugar beet supply and sugar price by considering the sustainability issues and opportunities. However, The result of the Johansen-Juselius cointegration test shows that there is a positive long-term co-integration relationship between variables. Although  According to the GC test, there is a causal relationship between sugar beet supply and sugar price. Also result of the vector error correction model represents that sugar price has a significant impact on sugar beet supply which indicates that every increase and decrease in sugar price reflect on sugar beet production. Therefore, the necessity of an appropriate policy-making and proper planning for sugar beet production has been bolded.

Power systems contain four generic parts, including production, transmission, dispatch distribution, and consumption. Generally, dispatch distribution between powerhouses modelled with the goal of minimisation in utilisation cost. However, Environmental concerns were given more attention to powerhouse emissions such as SO2, CO2 and NO cause to investigate modelling in recent researches. However consideration of the objectives of fuel cost and emission value in the dispatch distribution problems known as the eco-environmental dispatch distribution. Although Due to the paradox between the reduction of utility costs and external costs, different methods used.