SWOT Quantitative Analysis of PGIS Environment Code 16-07A: A Transformative Advancement for Climate Action

Today’s world climate condition is at a crisis level pervaded by uncontrolled environmental management due to various anthropogenic disruptions brought by mishandling of waste, carbon emission, deforestation, and forest degradation. The Provincial Government of Ilocos Sur (PGIS), as one of the Philippines’ local government entities, passed and implemented 2016 the Environment Code 16-07A that would supposedly keep the local climate stature in a balanced state. The paper examined the Code by using statistical methods specifically frequency, mean, and Pearson’s R, and by further quantitatively assessing and analyzing the data through the application of SWOT (strengths, weaknesses, opportunities, and threats) analysis format. The statistical findings showed that the positive significant relationships either in 0.01 or 0.05 levels imply that the challenge is open to PGIS concerning the passage of more relevant policies. The negative relationships between the variables of employment and implementation found in all of the areas imply that as the rate of employment goes high, the rate of implementation of the Code goes down. Specifically, if the inverse relationships persist to happen, then, it means that as an individual is highly employed, the interest in fulfilling the provisions of the Code decreases.