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Carbon emissions are a major problem in the industrial sector due to energy consumption. As a solution, this research first investigates the impact of energy consumption and shortfall on green technology implementation from 1000 textile firms in Punjab, Pakistan and for energy shortfall incorporates subsidy variables to make green technology implementation possible via a binary logistic regression model. Second, we develop a simulation-based optimization model to measure the optimal behavior of energy consumption parameters to clean the environment under green technology implementation. The results depict that renewable energy resources (coal, corn cobs, and wood) positively affect green technology implementation. Interestingly, energy shortfall (electricity and gas) is also impacted positively due to the move of industries towards renewable resources during this shortage period. We find a higher quantity of wood in optimal behavior analysis instead of coal and cobs due to its ease of availability. An optimal subsidy on electricity shortfall is found to be greater than the natural gas shortfall subsidy due to its higher shortfall. This study helps the government to decide the optimal energy shortfall for saving energy usage and to manage the optimal level of subsidies in order to overcome energy usage problems. It also benefits the textile industry in deciding over the optimal energy consumption level to make the environment clean in terms of green technology implementation. [Display omitted] • At present, carbon emission and energy shortfall are still a big target. • Effect of renewable energy resources and energy shortfall on green technology decisions has been investigated. • A significant relationship between energy resources and green technology decisions were found. • Energy shortfall can be mitigated energy through subsides. • Subsidy policies from the government have been proposed to keep the resource conservation and economy boost. [ABSTRACT FROM AUTHOR]

Climate change is an obstacle in the path of sustainable economic development. One of the key findings in the economics literature is that the use of natural resources contributes to real income per capita. However, its environmental consequences should not be ignored. This paper examines the nexus among CO2 emission, real income, and natural resources, by incorporating urbanization, and trade in Pakistan from 1971 to 2017. The Auto-Regressive Distributive Lag (ARDL) and Vector Error Correction (VECM) models are used for analyzing time-series data. The empirical findings infer that the use of natural resources accelerates the rate of CO2 emission in Pakistan which worsens environmental quality. In addition, the Environmental Kuznets Curve (EKC) is confirmed in the presence of natural resource use. Besides, urbanization improves environmental quality through mitigating the level of CO2 emission. Moreover, the feedback hypothesis is found between the use of natural resources and CO2 emission. Additionally, bidirectional causality is found between urbanization and the use of natural resources. Overall, this study supports formulating new policies to overcome environmental degradation through energy-saving technologies. [ABSTRACT FROM AUTHOR]