Weather shocks, adaptation and agricultural TFP: A cross-region comparison of Australian Broadacre farms

Sheng, Yu; Song, Zhao; Yang, Sansi

doi:10.1016/j.eneco.2021.105417

Cited by 12 publications

(4 citation statements)

References 26 publications

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“…On the other hand, in the context of world agricultural and rural development dynamics, agriculture faces the pressure and challenges of mitigating and adapting to climate change and feeding a large number of people, and the promotion of sustainable agriculture is an important means of adapting to climate change, reducing greenhouse gas emissions from agriculture and mitigating deforestation, among other issues. Climate [14], climate change [15], agricultural adaptation [16], and crop modeling [17] have become hot topics in international agricultural economics research.…”

Section: Introductionmentioning

confidence: 99%

Risk Assessment of Agricultural Economic Management Based on the Multivariate Statistical Computing Method

Zhou

2022

Security and Communication Networks

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The modernization process of Chinese agriculture has posed new challenges to agriculture economic management. However, existing studies focus on financial and ecological and environmental risks of agriculture economic management while lacking the necessary attention to other types of agricultural economic management. Therefore, we first propose that the risk of agricultural economic management is of five types—economic, social, political, cultural, and ecological and environmental risks—and further clarify the interactions among the five risk types. Given that the five types of risks are nested with each other, we adopted a multivariate statistical algorithm based on complex network theory to scientifically evaluate the risk management of agriculture economy. The results show the applicability of the algorithm to risk clustering analysis and risk coefficient estimation. The article concludes with the corresponding theoretical and practical implications.

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Section: Introductionmentioning

confidence: 99%

Risk Assessment of Agricultural Economic Management Based on the Multivariate Statistical Computing Method

Zhou

2022

Security and Communication Networks

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“…In terms of climate change factors, Guo et al (2022) carried out a study on 43 countries and determined that, if the influence of climate factors is taken into account, it will be detrimental to these countries' levels of agricultural productivity. Sheng et al (2021) compared the agricultural TFP of the Broadacre farm in Australia based on meteorological shocks. They conclude that meteorological shocks initially deviate agricultural TFP and then converge toward a long-run equilibrium.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Levin and Raut (1997) studied the export effects of primary and manufactured goods and concluded that manufactured goods exports positively contribute to economic growth, while primary exports have a negative impact on economic growth. Using rural human capital as a threshold variable, Sheng et al (2021) found differences in the effects of agricultural exports and imports on TFP generation, with a significant double threshold effect of imports on agricultural TFP growth and a single threshold effect of exports on agricultural TFP growth. Wang et al (2020) concluded that an increase in both import and export trade can increase the level of agricultural TFP.…”

Section: Literature Reviewmentioning

confidence: 99%

Can agricultural trade improve total factor productivity? Empirical evidence from G20 countries

Wang²,

Zhao³

et al. 2023

Front. Sustain. Food Syst.

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Improving agricultural total factor productivity is essential to achieving the high-quality and sustainable development of agriculture. As major global agricultural producers, the G20 countries play an important role in agricultural product trade and development. As such, it is well-positioned to play a positive role in improving agricultural total factor productivity. This paper uses the DEA-Malmquist index method to measure agricultural total factor productivity (TFP) in G20 countries from 2010 to 2019, and analyzes the impact of agricultural trade on TFP using the two-way fixed effects model. It finds that (1) the main source of agricultural TFP growth in G20 countries is technical progress, while the effect of technical efficiency on agricultural TFP is not obvious. (2) Agricultural trade can significantly improve agricultural TFP growth in G20 countries, and the effect is more obvious in developed countries. From the perspective of trade flow, the positive effect of export trade on agricultural TFP is stronger. (3) The institutional environment strengthens the improvement effect of agricultural trade on agricultural TFP. Thus, this study not only provides valuable insight into the relationship between agricultural trade and agricultural productivity, but also offers a strong argument in favor of the formulation of relevant policies to improve agricultural productivity and promote a more sustainable agricultural sector.

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“…It reflects the efficiency and effectiveness of production efforts. Recently, the concept of green productivity was drawn from the integration of two important developmental strategies—productivity improvement and environmental protection [ 32 , 33 ]. Consequently, the GTFP has been used by scholars to measure green economic growth and determine the long-term sustainability of a region.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

The role of agricultural machinery in improving green grain productivity in China: Towards trans-regional operation and low-carbon practices

Ma,

Liu,

et al. 2023

Heliyon

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Weather shocks, adaptation and agricultural TFP: A cross-region comparison of Australian Broadacre farms

Cited by 12 publications

References 26 publications

Risk Assessment of Agricultural Economic Management Based on the Multivariate Statistical Computing Method

Risk Assessment of Agricultural Economic Management Based on the Multivariate Statistical Computing Method

Can agricultural trade improve total factor productivity? Empirical evidence from G20 countries

The role of agricultural machinery in improving green grain productivity in China: Towards trans-regional operation and low-carbon practices

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