Sources of production growth in Chinese agriculture:empirical evidence from penal data results 2001–2018

Wei, Wang; Guo, Liwei

doi:10.1080/00036846.2021.1918626

Cited by 5 publications

(2 citation statements)

References 74 publications

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“…At the same time, land-abundant territories are likely to experience the expansion of areas under crops [104]. Furthermore, available studies [105,106] prove the application of the neutral technical progress variable in multiplicative functions to be reasonable, since the variable allows for capturing diverse effects while ensuring that neither of the impacts becomes more or less important at the margin.…”

Section: The Multiplicative Climate-yield Modelmentioning

confidence: 99%

Combined Impact of Climate Change and Land Qualities on Winter Wheat Yield in Central Fore-Caucasus: The Long-Term Retrospective Study

Erokhin

Есаулко

Pismennaya

et al. 2021

Land

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Progressing climate change has been increasingly threatening the agricultural sector by compromising the resilience of ecosystems and endangering food security worldwide. Altering patterns of major climatic parameters require the perspectives of agricultural production to be assessed in a holistic way to understand the interactions of climatic and non-climatic factors on crop yield. However, it is difficult to distinguish the direct influence of changing temperature and precipitation on the productivity of crops while simultaneously capturing other contributing factors, such as spatial allocation of agricultural lands, economic conditions of land use, and soil fertility. Wide temporal and spatial fluctuations of climatic impacts substantially complicate the task. In the case of the 170-year retrospective analysis of the winter wheat sector in the south of Russia, this study tackles the challenge by establishing the multiplicative function to estimate crop yields as a long-term result of a combined influence of agricultural output parameters, qualities of soils, and climate variables. It is found that within the climate–land–yield triangle, linkages tighten or weaken depending on the strength of noise effects of economic and social perturbations. Still, the overall pressure of climate change on the cultivation of winter wheat has been aggravating. The inter-territory relocation of areas under crops based on the matching of soil types, precipitation, air temperature, and erodibility of lands is suggested as a climate response option. The approach can be employed as a decision support tool when developing territory-specific land management policies to cope with adverse climate impacts on the winter wheat sector.

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Section: The Multiplicative Climate-yield Modelmentioning

confidence: 99%

Combined Impact of Climate Change and Land Qualities on Winter Wheat Yield in Central Fore-Caucasus: The Long-Term Retrospective Study

Erokhin

Есаулко

Pismennaya

et al. 2021

Land

View full text Add to dashboard Cite

show abstract

“…Jiang et al [14] constructed an improved multi-factor two-level CES production function, analyzed the speed and contribution of scientific and technological progress in grain production based on panel data, found that the speed and contribution of scientific and technological progress in grain production increased significantly before and after agricultural tax reduction, and found that the speed and contribution of scientific and technological progress in grain production in China showed significant spatial "differentiation". Based on China's agricultural regional panel data, Wang and Guo [15] systematically analyzed the fluctuation of total factor productivity growth and its decomposition conditions, and analyzed the relationship and the connotation among factor allocation efficiency, technological progress deviation and agricultural total factor productivity. Similarly, many scholars have analyzed the relevant influencing factors of scientific and technological innovation in grain production, which is helpful to achieve the realization of grain increase and security [16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Efficiency Analysis of Scientific and Technological Innovation in Grain Production Based on Improved Grey Incidence Analysis

Zhang

Yang

2021

Agriculture

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Analyzing and evaluating the efficiency of scientific and technological innovation in grain production is conducive to the rational allocation of resources, promoting the development of scientific and technological innovation in grain production and providing guarantee for grain security. By refining the elements of grain production and scientific and technological innovation, an evaluation system of scientific and technological innovation in grain production is constructed. Firstly, combining linear programming together with the traditional grey synthetic incidence analysis model, a incidence analysis of the scientific and technological innovation indicators of grain production is carried out, and the key and secondary indexes affecting grain outputs are screened by an improved grey incidence analysis model. Secondly, based on DEA-Malmquist index model and taking the grain production process as the research object, the scientific and technological achievement transformation indicators are divided into pre-production, in-production and post-production indicators. The key indicators and secondary indicators of scientific and technological innovation of grain production in various cities of Henan Province from 2010 to 2019 are used to analyze the efficiency of scientific and technological innovation in each stage of grain production. The results show that: (1) The type of basic ability of scientific and technological innovation indicators and the transformation ability of scientific and technological innovation achievements are the major indicators influencing grain outputs, and the investment of basic resources of scientific and technological innovation and the transformation of scientific and technological innovation achievements are the most important to improve grain outputs. (2) In addition, the study reveals that the secondary indicators of the technological innovation efficiency of grain production based on the DEA-Malmquist index model are more efficient than the key indicators in the pre-production, in-production and post-production stages. And there are gaps in the scientific and technological innovation performance of grain production among cities in Henan Province, and the index of technological progress is the leading factor for the gap.

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Does agricultural mechanisation promote agricultural TFPG? Evidence from spatial panel data in China

Guo

Wang

2022

Applied Economics

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Sources of production growth in Chinese agriculture:empirical evidence from penal data results 2001–2018

Cited by 5 publications

References 74 publications

Combined Impact of Climate Change and Land Qualities on Winter Wheat Yield in Central Fore-Caucasus: The Long-Term Retrospective Study

Combined Impact of Climate Change and Land Qualities on Winter Wheat Yield in Central Fore-Caucasus: The Long-Term Retrospective Study

Efficiency Analysis of Scientific and Technological Innovation in Grain Production Based on Improved Grey Incidence Analysis

Does agricultural mechanisation promote agricultural TFPG? Evidence from spatial panel data in China

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