scholarly journals A framework for reducing greenhouse gas (GHG) emissions through carbon pricing for offshore outsourcing

Author(s):  
Amulya Gurtu

Reducing supply chain costs is a primary concern of every organization. Organizations have implemented offshore outsourcing as an effective strategy towards reducing supply chain costs. However, neither government nor corporate organizations have sufficiently taken into account the effects of this strategy on global greenhouse gas (GHG) emissions. The purpose of this research is to analyze the impact of offshore outsourcing on global GHG emissions, and the effect of changes in fuel prices in addition to a carbon price on additional emissions on supply chain costs. The purpose is supported by five key objectives. The objectives are addressed through a systematic methodology. The analysis is supported by a literature review, and the development and testing of mathematical models. Finally, a framework to reduce global GHG emissions through a carbon price on differential emissions from manufacturing and additional emissions from international transportation is proposed. The findings suggest that offshore outsourcing has increased global emissions. The fuel prices are increasing at a rate higher than the overall rate. A carbon price on excess emissions due to outsourcing coupled with increasing fuel prices impacts supply chain costs adversely and leads to bigger lot-sizes. As an illustration at the national level, the framework showed that emissions for the USA increased by about 20% for every year between 2007 and 2010. As another example from a corporate organization, the net profit (profit after tax) for Wal-Mart was reduced by about 19% for 2006 due to a carbon price on manufacturing emissions alone. The suggested framework is a major contribution for quantifying the extent of changes in the emissions due to offshore outsourcing and the value of these emissions at a prevailing rate of carbon tax in North America. It is intended to provide a basis for reducing emissions and costs from global supply chains. The proposed framework provides a level playing field to manufacturers in different countries using different technologies, provides incentives to organizations for manufacturing in locations where net emissions are low, helps national governments determine how they can generate revenue for dealing with emissions, and, most importantly, aids in reducing overall global GHG emissions.

2021 ◽  
Author(s):  
Amulya Gurtu

Reducing supply chain costs is a primary concern of every organization. Organizations have implemented offshore outsourcing as an effective strategy towards reducing supply chain costs. However, neither government nor corporate organizations have sufficiently taken into account the effects of this strategy on global greenhouse gas (GHG) emissions. The purpose of this research is to analyze the impact of offshore outsourcing on global GHG emissions, and the effect of changes in fuel prices in addition to a carbon price on additional emissions on supply chain costs. The purpose is supported by five key objectives. The objectives are addressed through a systematic methodology. The analysis is supported by a literature review, and the development and testing of mathematical models. Finally, a framework to reduce global GHG emissions through a carbon price on differential emissions from manufacturing and additional emissions from international transportation is proposed. The findings suggest that offshore outsourcing has increased global emissions. The fuel prices are increasing at a rate higher than the overall rate. A carbon price on excess emissions due to outsourcing coupled with increasing fuel prices impacts supply chain costs adversely and leads to bigger lot-sizes. As an illustration at the national level, the framework showed that emissions for the USA increased by about 20% for every year between 2007 and 2010. As another example from a corporate organization, the net profit (profit after tax) for Wal-Mart was reduced by about 19% for 2006 due to a carbon price on manufacturing emissions alone. The suggested framework is a major contribution for quantifying the extent of changes in the emissions due to offshore outsourcing and the value of these emissions at a prevailing rate of carbon tax in North America. It is intended to provide a basis for reducing emissions and costs from global supply chains. The proposed framework provides a level playing field to manufacturers in different countries using different technologies, provides incentives to organizations for manufacturing in locations where net emissions are low, helps national governments determine how they can generate revenue for dealing with emissions, and, most importantly, aids in reducing overall global GHG emissions.


2012 ◽  
Vol 03 (03) ◽  
pp. 1250014 ◽  
Author(s):  
AMANI E. ELOBEID ◽  
MIGUEL A. CARRIQUIRY ◽  
JACINTO F. FABIOSA

Even with a normalized and standardized biofuel shock, the wide range of land-use change estimates and their associated greenhouse gas (GHG) emissions have raised concern on the adequacy of existing agricultural models in this new area of analysis. In particular, reducing bias and improving precision of impact estimates are of primary concern to policy makers. This paper provides a detailed overview of the FAPRI-CARD agricultural modeling system, with particular emphasis on the modifications recently introduced to reduce bias in the results. We illustrate the impact of these new model features using the example of the new yield specification that now includes updated trend parameter, intensification and extensification effects, and a spatially disaggregated Brazil specification. The paper also provides a taxonomy of the many types of uncertainty surrounding any analysis, including parameter-coefficient uncertainty and exogenous variable uncertainty, identifying where specific types of uncertainty originate, and how they interact. Finally, FAPRI-CARD's long experience in using stochastic analysis is presented as a viable approach in addressing uncertainty in the analysis of changes in the agricultural sector, associated land-use change, and impacts on GHG emissions.


Author(s):  
Moneim Massar ◽  
Imran Reza ◽  
Syed Masiur Rahman ◽  
Sheikh Muhammad Habib Abdullah ◽  
Arshad Jamal ◽  
...  

The potential effects of autonomous vehicles (AVs) on greenhouse gas (GHG) emissions are uncertain, although numerous studies have been conducted to evaluate the impact. This paper aims to synthesize and review all the literature regarding the topic in a systematic manner to eliminate the bias and provide an overall insight, while incorporating some statistical analysis to provide an interval estimate of these studies. This paper addressed the effect of the positive and negative impacts reported in the literature in two categories of AVs: partial automation and full automation. The positive impacts represented in AVs’ possibility to reduce GHG emission can be attributed to some factors, including eco-driving, eco traffic signal, platooning, and less hunting for parking. The increase in vehicle mile travel (VMT) due to (i) modal shift to AVs by captive passengers, including elderly and disabled people and (ii) easier travel compared to other modes will contribute to raising the GHG emissions. The result shows that eco-driving and platooning have the most significant contribution to reducing GHG emissions by 35%. On the other side, easier travel and faster travel significantly contribute to the increase of GHG emissions by 41.24%. Study findings reveal that the positive emission changes may not be realized at a lower AV penetration rate, where the maximum emission reduction might take place within 60–80% of AV penetration into the network.


Author(s):  
Swithin S. Razu ◽  
Shun Takai

The aim of this paper is to study the impact of public government policies, fuel cell cost, and battery cost on greenhouse gas (GHG) emissions in the US transportation sector. The model includes a government model and an enterprise model. To examine the effect on GHG emissions that fuel cell and battery cost has, the optimization model includes public policy, fuel cell and battery cost, and a market mix focusing on the GHG effects of four different types of vehicles, 1) gasoline-based 2) gasoline-electric hybrid or alternative-fuel vehicles (AFVs), 3) battery-electric (BEVs) and 4) fuel-cell vehicles (FCVs). The public policies taken into consideration are infrastructure investments for hydrogen fueling stations and subsidies for purchasing AFVs. For each selection of public policy, fuel cell cost and battery cost in the government model, the enterprise model finds the optimum vehicle design that maximizes profit and updates the market mix, from which the government model can estimate GHG emissions. This paper demonstrates the model using FCV design as an illustrative example.


2021 ◽  
Author(s):  
Elsbe von der Lancken ◽  
Victoria Nasser ◽  
Katharina Hey ◽  
Stefan Siebert ◽  
Ana Meijide

<p>The need to sustain global food demand while mitigating greenhouse gases (GHG) emissions is a challenge for agricultural production systems. Since the reduction of GHGs has never been a breeding target, it is still unclear to which extend different crop varieties will affect GHG emissions. The objective of this study was to evaluate the impact of N-fertilization and of the use of growth regulators applied to three historical and three modern varieties of winter wheat on the emissions of the three most important anthropogenic GHGs, i.e. carbon dioxide (CO<sub>2</sub>), methane (CH<sub>4</sub>) and nitrous oxide (N<sub>2</sub>O). Furthermore, we aimed at identifying which combination of cultivars and management practises could mitigate GHG emissions in agricultural systems without compromising the yield. GHG measurements were performed using the closed chamber method in a field experiment located in Göttingen (Germany) evaluating three historical and three modern winter wheat varieties, with or without growth regulators under two fertilization levels (120 and 240 kg nitrogen ha<sup>-1</sup>). GHG measurements were carried out for 2 weeks following the third nitrogen fertilizer application (where one third of the total nitrogen was applied), together with studies on the evolution of mineral nitrogen and dissolved organic carbon in the soil. Modern varieties showed significantly higher CO<sub>2</sub> emissions (i.e. soil and plant respiration; +23 %) than historical varieties. The soils were found to be a sink for CH<sub>4,</sub> but CH<sub>4</sub> fluxes were not affected by the different treatments. N<sub>2</sub>O emissions were not significantly influenced by the variety age or by the growth regulators, and emissions increased with increasing fertilization level. The global warming potential (GWP) for the modern varieties was 7284.0 ± 266.9 kg CO<sub>2-eq</sub> ha<sup>-1</sup>. Even though the GWP was lower for the historic varieties (5939.5 ± 238.2 kg CO<sub>2</sub>-<sub>eq</sub> ha<sup>-1</sup>), their greenhouse gas intensity (GHGI), which relates GHG and crop yield, was larger (1.5 ± 0.3 g CO<sub>2</sub>-<sub>eq</sub> g<sup>-1</sup> grain), compared to the GHGI of modern varieties (0.9 ± 0.0 g CO<sub>2</sub>-<sub>eq</sub> g<sup>-1</sup> grain), due to the much lower grain yield in the historic varieties. Our results suggest that in order to mitigate GHG emissions without compromising the grain yield, the best management practise is to use modern high yielding varieties with growth regulators and a fertilization scheme according to the demand of the crop.</p>


2017 ◽  
pp. 213-241
Author(s):  
Lidia Hrnčević

Greenhouse Gas (GHG) emissions occur, more or less, in all aspects of the petroleum industry's activities. Besides the direct emissions of some GHG, the petroleum industry is also characterised with high energy intensity usually followed by emissions of adverse gases, especially at old facilities, and also the products with high emission potential. Being the global industry and one of the major players on global market, the petroleum industry is also subjected to global regulatory provisions regarding GHG emissions. In this chapter, the impact of global climate change on the petroleum industry is discussed. The emissions from the petroleum industry are analysed with a special focus on greenhouse gases that occur in petroleum industry activities and types and sources of emissions from the petroleum industry activities. In addition, recommendations for estimation, monitoring, and reductions of GHG emissions from the petroleum industry are given.


2019 ◽  
Vol 10 (03) ◽  
pp. 1950010 ◽  
Author(s):  
NIVEN WINCHESTER ◽  
JOHN M. REILLY

Using an economy-wide model, we evaluate the impact of policies to meet South Korea’s Paris pledge to reduce greenhouse gas (GHG) emissions by 37% relative those under business as usual (BAU) in 2030. Simulated BAU emissions in 2030 are 840.8 million metric tons (Mt) of carbon dioxide equivalent (CO2e), indicating that economy-wide emissions should be constrained to 529.7 MtCO2e. Under South Korea’s Emissions Trading System (KETS) and fuel economy standards, a 2030 carbon price of $88/tCO2e is needed to meet this goal. Without considering benefits from avoided climate damages, these policies reduce 2030 GDP by $21.5 billion (1.0%) and consumer welfare by 8.1 billion (0.7%). Declines in sectoral production are largest for fossil-based energy sectors and chemical, rubber and plastic products, and iron and steel sectors.


2017 ◽  
Author(s):  
Pavle Arsenovic ◽  
Eugene Rozanov ◽  
Julien Anet ◽  
Andrea Stenke ◽  
Thomas Peter

Abstract. Continued anthropogenic greenhouse gas (GHG) emissions are expected to cause further global warming throughout the 21st century. Understanding potential interferences with natural forcings is thus of great interest. Here we investigate the impact of a recently proposed 21st century grand solar minimum on atmospheric chemistry and climate using the SOCOL3-MPIOM chemistry-climate model with interactive ocean. We examine several model simulations for the period 2000–2199, following the greenhouse gas scenario RCP4.5, but with different solar forcings: the reference simulation is forced by perpetual repetition of solar cycle 23 until the year 2199, whereas the grand solar minimum simulations assume strong declines in solar activity of 3.5 and 6.5 W m−2 with different durations. Decreased solar activity is found to yield up to a doubling of the GHG induced stratospheric and mesospheric cooling. Under the grand solar minimum scenario tropospheric temperatures are also projected to decrease. On the global scale the reduced solar forcing compensates at most 15 % of the expected greenhouse warming at the end of 21st and around 25 % at the end of 22nd century. The regional effects are predicted to be stronger, in particular in northern high latitude winter. In the stratosphere, the reduced incoming ultraviolet radiation leads to less ozone production by up to 8 %, which overcompensates the anticipated ozone increase due to reduced stratospheric temperatures and an acceleration of the Brewer-Dobson circulation. This, in turn, leads to a delay in total ozone column recovery from anthropogenic chlorine-induced depletion, with a global ozone recovery to the pre-ozone hole values happening only upon completion of the grand solar minimum in the 22nd century or later.


2019 ◽  
Vol 11 (7) ◽  
pp. 2097 ◽  
Author(s):  
Bandar Alkhayyal

A research model using the market price for greenhouse gas (GHG) emissions illustrates how the policies, and economic and environment implications of the carbon price can be formulated using a deterministic equilibrium model. However, with increasing carbon costs, the optimal reverse supply chain (RSC) system is being required to adapt and has undergone many distinct shifts in character as it seeks out new configurations through which costs may be effectively managed and minimized. The model was studied comprehensively in terms of quantitative performance using orthogonal arrays. The results were compared to top-down estimates produced through economic input-output life cycle assessment (EIO-LCA) models, providing a basis to contrast remanufacturing GHG emission quantities with those realized through original equipment manufacturing operations. Introducing a carbon cost of $40/t CO2e increased modeled remanufacturing costs by 2.7%, but also increased original equipment costs by 2.3%. The research presented in this study puts forward the theoretical modeling of optimal RSC systems and provides an empirical case study concerning remanufactured appliances, an area of current industrial literature in which there is a dearth of study.


2010 ◽  
Vol 148 (5) ◽  
pp. 501-510 ◽  
Author(s):  
T. N. MARASENI ◽  
G. COCKFIELD ◽  
J. MAROULIS

SUMMARYThe majority of cotton produced in Australia is exported. The Australian cotton industry must maintain product quality in order to remain globally competitive. In addition, carbon-conscious consumers need reassurance that the system used to grow the product is environmentally sustainable. The aim of the present study was to estimate greenhouse gas (GHG) emissions due to various farm inputs in three common types of cotton farming systems on the Darling Downs region, southern Queensland. Analysis revealed that GHG emissions for dryland solid-plant and dryland double-skip cotton farming systems are similar, but emissions are much higher for irrigated solid-plant cotton farming (1367, 1274 and 4841 kg CO2e/ha, respectively). However, if comparisons of GHG emissions are based on yield (per tonne), the positions of dryland double-skip farming and dryland solid-plant farming are reversed, but the position of irrigated cotton farming still remains as the highest GHG emitter. If the cotton industry comes under the Australian Government Carbon Pollution Reduction Scheme (CPRS) without any subsidies and preconditions, and with a carbon price of A$25/t CO2e, the costs borne by each system would be A$66.8/t for the irrigated cotton industry, A$39.7/t for the dryland solid-plant cotton industry and A$43.6/t for the dryland double-skip cotton industry. This suggests that irrigated cotton would be more profitable in financial terms but with heavy environmental sustainability costs.


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