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Rework is currently a necessity for businesses and commercial organizations across the world. It is only beneficial in tackling climate change if the process emits less greenhouse gases than would otherwise be emitted. This study designs an optimal production scheduling model to reduce both carbon emissions during the processes of production, transport and storage, and setup cost by leveraging on green technology efforts in an imperfect production process where a fraction of items is erroneous so that the firm may run out of inventory. The producer implements a rework strategy to rectify the flawed products, anda flexible rework rate is offered since the rework might be executed on various schemes. The flexible rework allows the producer to choose therework rate, which can differ from the production rate, as well as the rework process itself, which can be asynchronous or synchronous.The two forms of green investments: quadratic and exponential are considered in the study. The main point of the study is to derive a solution procedure of the various problem settings associated with the rework rate, rework process and green investment. The findings suggest that developing the optimal production schedule (lot-sizes, backorders, setup cost and green investment amount) can lower the manufacturing sector's excessive ecological carbon emissions. The findings also support the idea that making green investments is the most cost-effective way to cut carbon emissions and setup cost simultaneously. [ABSTRACT FROM AUTHOR]

The purpose of this study is to examine the impact of climate finance on pollutant emissions (CO2, CH4 and N2O) for a sample of 19 Sub-Sahara Africa (SSA) countries over the period 2006 to 2017. Our study augments the traditional Environmental Kuznets Curve (EKC) with climate finance and our findings affirm the existence of an inverted U-shaped relationship between per capita income and emissions (i.e. traditional EKC) as well as between climate finance and emissions (Climate finance-induced EKC). We particularly compute turning points of $3,690 (CO2); $5,710 (CH4) and $6,420 (N2O) for per capita GDP levels and $910 million (CO2), $1.2 billion (CH4) and $1. 6 billion (N2O) for climate finance funds. These turning points are above the current averages observed for the SSA countries hence implying that these African countries are not developed enough and neither receive sufficient climate funding to address the challenges arising from climate change.

The purpose of this study is to examine the impact of climate finance on pollutant emissions (CO2, CH4 and N2O) for a sample of 19 Sub-Sahara Africa (SSA) countries over the period 2006 to 2017. Our study augments the traditional Environmental Kuznets Curve (EKC) with climate finance and our findings affirm the existence of an inverted U-shaped relationship between per capita income and emissions (i.e. traditional EKC) as well as between climate finance and emissions (Climate finance-induced EKC). We particularly compute turning points of $3,690 (CO2); $5,710 (CH4) and $6,420 (N2O) for per capita GDP levels and $910 million (CO2), $1.2 billion (CH4) and $1. 6 billion (N2O) for climate finance funds. These turning points are above the current averages observed for the SSA countries hence implying that these African countries are not developed enough and neither receive sufficient climate funding to address the challenges arising from climate change. [ABSTRACT FROM AUTHOR]