Adoptability and effectiveness of livestock emission reduction techniques in Australia’s temperate high-rainfall zone

2016 ◽  
Vol 56 (3) ◽  
pp. 393 ◽  
Author(s):  
Adrian R. James ◽  
Matthew T. Harrison

Significant research has been conducted on greenhouse gas emissions mitigation techniques for ruminant livestock farming, however putting these techniques into practice on-farm requires consideration of adoptability by livestock producers. We modelled the adoptability of a range of livestock greenhouse gas abatement techniques using data from farm case studies and industry surveys, then compared the effectiveness of several techniques in reducing emissions intensity and net farm emissions. The influence of the Australian Government Emissions Reduction Fund on adoptability was included by modelling techniques with and without the requirements of an Australian Government Emissions Reduction Fund project. Modelled adoption results were compared with data obtained from surveys of livestock farmers in northern Tasmania, Australia. Maximum adoption levels of the greenhouse gas mitigation techniques ranged from 34% to 95% and the time required to reach 90% of the peak adoption levels ranged from 3.9 to 14.9 years. Techniques with the lowest adoption levels included providing supplements to optimise rumen energy : protein ratio and feeding high-lipid diets. Techniques with the highest adoptability involved improved ewe reproductive efficiency, with more fertile flocks having higher adoption rates. Increasing liveweight gain of young stock so animals reached slaughter liveweight 5–7 weeks earlier (early finishing) and joining maiden ewes at 8 months instead of 18 months had the fastest adoption rates. Techniques which increased net emissions and reduced emissions per liveweight sold (emissions intensity) had higher adoptability due to profit advantages associated with greater meat and wool production, whereas some techniques that reduced both net emissions and emissions intensity had lower adoptability and/or longer delays before peak adoption because of complexity and costs associated with implementation, or lack of extension information. Techniques that included an Australian Government Emissions Reduction Fund project had reduced maximum adoption levels and reduced rate of adoption due to difficulty of implementation and higher cost. Adopting pastures with condensed tannins reduced net emissions, emissions intensity and had high adoption potential, but had a long delay before peak adoption levels were attained, suggesting the technique may be worthy of increased development and extension investment. These results will be of benefit to livestock farmers, policymakers and extension practitioners. Programs designed to mitigate livestock greenhouse gas should consider potential adoption rates by agricultural producers and time of implementation before embarking on new research themes.

2009 ◽  
Vol 49 (2) ◽  
pp. 576
Author(s):  
Jon Stanford

In March 2009, the Australian government published draft legislation for its proposed emissions trading scheme—the Carbon Pollution Reduction Scheme (CPRS). The CPRS is the main instrument that will be employed to achieve Australia’s stated objective of greenhouse gas mitigation, together with the new renewable energy target (RET) mandating that 20% of Australia’s electricity will be provided by renewable energy by 2020. The stated objective is to achieve a 5% reduction in emissions from the year 2000–2020. The objective of a 5% reduction in emissions (identified as CPRS-5 in the Treasury modelling undertaken for Garnaut and the Australian Government) is a more modest target than scientific opinion tells us is required to achieve temperature stabilisation at a level around two degrees higher than the average level now. Yet this target has been selected on the assumption that the rest of the world does not take more substantial action. If Australia seeks to achieve more than the rest of the world there will be a negligible impact on global emissions while we will export investments and jobs to less ambitious countries. In any case, a 5% reduction in emissions from 2000 levels will be difficult to achieve in the absence of major technological change being realised before 2020. It represents a reduction from the year 2000’s levels of 25% in per capita terms, and around 25% from projections of emissions under business-as-usual assumptions. Stationary energy, mainly power generation, is responsible for about half of Australia’s greenhouse gas emissions. Because this is also a sector where low emissions technologies are already available, it is expected that much of the heavy-lifting in regard to greenhouse gas mitigation will have to come from this sector. Much of the new investment in the power generation sector to 2020 will come from renewables so as to meet the RET, which equates to around 45,000 GWh of renewable generation by 2020. But what of base load generation? Apart from geothermal, that has yet to be technically and commercially proven in Australia, renewables are generally ill-suited to base load generation. Base load power in Australia has traditionally been provided by black and brown coal and with its high emissions it is unlikely to be seen as a future option in a carbon-constrained world. Lower emissions options for base load generation include: coal with carbon capture and storage (CCS); geothermal energy; nuclear energy; and, combined cycle gas turbine (CCGT). The first three options are all problematic in Australia, and would not be able to provide significant generation capacity before 2020.


10.1596/25171 ◽  
2016 ◽  
Author(s):  
Ademola K. Braimoh ◽  
Xiaoyue Hou ◽  
Christine Heumesser ◽  
Yuxuan Zhao

2021 ◽  
Vol 13 (13) ◽  
pp. 7148
Author(s):  
Wenjie Zhang ◽  
Mingyong Hong ◽  
Juan Li ◽  
Fuhong Li

The implementation of green finance is a powerful measure to promote global carbon emissions reduction that has been highly valued by academic circles in recent years. However, the role of green credit in carbon emissions reduction in China is still lacking testing. Using a set of panel data including 30 provinces and cities, this study focused on the impact of green credit on carbon dioxide emissions in China from 2006 to 2016. The empirical results indicated that green credit has a significantly negative effect on carbon dioxide emissions intensity. Furthermore, after the mechanism examination, we found that the promotion impacts of green credit on industrial structure upgrading and technological innovation are two effective channels to help reduce carbon dioxide emissions. Heterogeneity analysis found that there are regional differences in the effect of green credit. In the western and northeastern regions, the effect of green credit is invalid. Quantile regression results implied that the greater the carbon emissions intensity, the better the effect of green credit. Finally, a further discussion revealed there exists a nonlinear correlation between green credit and carbon dioxide emissions intensity. These findings suggest that the core measures to promote carbon emission reduction in China are to continue to expand the scale of green credit, increase the technology R&D investment of enterprises, and to vigorously develop the tertiary industry.


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