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Research on the influence of green technology innovation on carbon emission performance:Take Northeast China as an example
HU Xi-xi, SHI Xue-qiao
HUBEI AGRICULTURAL SCIENCES 2022, 61 (
17
): 5-10. DOI: 10.14088/j.cnki.issn0439-8114.2022.17.001
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464
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Based on the panel data of Northeast China from 2008 to 2019, the unfavorable output super efficiency SE-SBM model was used to calculate the total factor carbon emission performance, and the threshold panel model was used to analyze the threshold effect of green technology innovation on carbon emission performance, so as to explore the impact mechanism of industrial structure, economic development, trade opening, urbanization level and energy consumption structure on carbon emission performance. The results indicated that the overall carbon emission performance of Northeast China showed a steady upward trend and then a downward trend, and reached the peak in 2013. Green technology innovation had a double threshold effect on carbon emission performance, which showed a U-shaped relationship. Industrial structure and economic development could promote carbon emission performance. The degree of foreign trade, urbanization level and energy consumption structure had a negative impact on carbon emission performance. Therefore, Northeast China should improve the level of green technology innovation, optimize and upgrade the industrial structure and energy consumption structure, reasonably promote the process of foreign trade and urbanization, in order to advance the all-round revitalization of the northeast region.
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Research on agricultural management entities based on the perspective of uncertainty theory
BAI Hao, BAI Peng-fei, CUI Jia
HUBEI AGRICULTURAL SCIENCES 2022, 61 (
17
): 11-16. DOI: 10.14088/j.cnki.issn0439-8114.2022.17.002
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Considering the current uncertain domestic and international economic development environment, on the basis of combing the uncertainty theory, the paper analyzed the agricultural development qualitatively from the perspective of uncertainty, and studied the uncertainty of agriculture and agricultural operation subject in combination with relevant statistical data and research results. The results showed that under the new development conditions, the agricultural operators were faced with uncertainties in five aspects, natural conditions, economic operation, science and technology, policy implementation and social governance. It was proposed to strengthen the ability of agricultural operators to cope with uncertain problems from four aspects, power cultivation, mechanism design, institutional guarantee, and scientific and technological guidance, and use limited cognition to deepen the understanding of agricultural development in the uncertain economic and social development and feel the charm of fuzzy development.
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