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Research On The Impact Of High-Quality Development Of Foreign Trade On Carbon Emission Efficiency

Posted on:2024-06-27Degree:MasterType:Thesis
Country:ChinaCandidate:X Y ChenFull Text:PDF
GTID:2531307142456904Subject:International Trade
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Global warming caused by greenhouse gas emissions has restricted the economic development of all countries.Green and low-carbon development has become a key link to determine the future of countries to seek Lebensraum and choose a development path.In this context,China actively assumes the responsibility of a major country,proposes the dual carbon goal,and vigorously carries out energy production and consumption revolution,achieving coordinated development of economic development and pollution reduction and carbon reduction.The report of the 20 th National Congress of the Communist Party of China pointed out that promoting green development and promoting harmonious coexistence between man and nature is one of the essential requirements and basic characteristics of Chinese path to modernization in the new era.In the future,we should implement the new development concept,fundamentally change the development mode,effectively achieve high-quality development,actively and steadily promote carbon peak carbon neutrality,and build China into a prosperous,strong,democratic,civilized,harmonious and beautiful modern socialist power.This article first constructs an evaluation index system for the high-quality development of foreign trade based on the new development concept,and analyzes the factual characteristics and spatiotemporal differentiation characteristics of China’s highquality development of foreign trade from the perspectives of time and space.Secondly,the SE-U-SBM model was used to measure the carbon emission efficiency of 30provinces(cities)from 2006 to 2020,and the Dagum Gini coefficient and spatial Markov chain were used to examine their sources of differences and dynamic evolution.The spatial correlation of carbon emission efficiency is studied through the Moran index to judge whether it meets the preconditions of using spatial econometric models.On the premise of spatial significant autocorrelation,the spatial Durbin model is selected to study the impact of high-quality development of foreign trade on carbon emission efficiency.Further,the overall effect decomposition is used to test the spatial spillover effect of high-quality development of foreign trade on carbon emission efficiency,and the robustness test is conducted.The results show that:(1)From 2006 to 2020,the high-quality development level of China’s foreign trade has an overall upward trend,but there are large differences between provinces and regions,showing a spatial gradient distribution pattern of "East>Northeast>Central>West".(2)During the research period,China has made significant progress in carbon emission efficiency,continuously improving the level of green and low-carbon development,with significant inter provincial differences and regional development imbalances.Regional differences and superdensity are important sources of overall differences in carbon emission efficiency.Carbon emission efficiency has a transfer characteristic of "those who are close to red,those who are close to black",and high-level neighborhoods will drive the improvement of carbon emission efficiency in the local area.(3)The high-quality development of foreign trade is an important factor affecting carbon emission efficiency,significantly promoting the improvement of carbon emission efficiency.The spatial spillover effect test shows that the carbon emission efficiency between provinces in China has strong spatial correlation.The direct and spatial spillover effects of high-quality development of foreign trade on carbon emission efficiency are significantly positive.High quality development of foreign trade is not only conducive to improving the carbon emission efficiency level of the region,but also can effectively promote the carbon emission efficiency of neighboring regions.
Keywords/Search Tags:high-quality development of foreign trade, carbon emission efficiency, source of difference, dynamic evolution, spatial metrological
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