Assessment of total factor productivity and methane efficiency of beef cattle producers worldwide

IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Rebecca H. Chung , Sholih Nugroho Hadi
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Abstract

CONTEXT

To align with SDG 12, emphasizing responsible consumption and production, it has become imperative for the global beef cattle industry to engage in sustainable production. One of the substantial challenges for future beef production is the increasing competition for resources between animal feed and human food. Moreover, there is a pressing need to address the impact of climate change, given that beef cattle production is a major contributor to methane gas emissions.

OBJECTIVE

To evaluate beef cattle production across 20 major-beef producing countries from 2011 to 2020 by 1) Assessing total factor productivity. 2) Estimating both technical efficiency and methane efficiency. 3) Estimating potential reduction of resource uses and methane emission. 4) Investigating the relationship between total factor productivity and methane efficiency.

METHODS

The assessment utilizes the Malmquist productivity index and data envelopment analysis with an undesirable output. This study considers cattle population, permanent pasture, and labor productivity as inputs, with beef production and methane emissions as desirable and undesirable outputs, respectively.

RESULTS AND CONCLUSION

The results indicate that the annual productivity growth for these 20 countries is 1.3 %, primarily attributed to technological advancements. The technical and methane efficiency scores stand at 0.645 and 0.476, respectively. Overall, the potential reduction in beef cattle, pasture area, and methane emissions are 283,257,995 heads, 933,802,815 ha, and 13,414,544 tons, respectively. There is a positive relationship between total factor productivity and methane efficiency. Moreover, the findings reveal that the US and India demonstrated relatively higher productivity growth and full methane efficiency in their beef cattle production. Accordingly, the US could serve as valuable references for other countries implementing pasture-based systems, while India's approach can be particularly insightful for countries employing smallholder farmer-based systems.

SIGNIFICANCE

This study addresses a pressing environmental concern of methane emissions from beef cattle production. Given that beef cattle production is a major contributor to methane gas emissions, estimating methane efficiency of beef cattle production while considering the undesirable output of methane is critical. This study is expected to enrich the existing literature on improving sustainability in beef production and raise collective awareness about reducing greenhouse gas emissions, particularly methane. Ultimately, it will foster collaboration and synergy among stakeholders to achieve sustainable beef production.

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来源期刊
Agricultural Systems
Agricultural Systems 农林科学-农业综合
CiteScore
13.30
自引率
7.60%
发文量
174
审稿时长
30 days
期刊介绍: Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments. The scope includes the development and application of systems analysis methodologies in the following areas: Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making; The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment; Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems; Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.
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