基于空间计量的工业全要素生产率及影响因素研究
发布时间：2018-11-22 08:54
【摘要】：近年来,广西工业发展规模不断壮大,发展基础不断夯实,发展速度也越来越快,已由工业化初期阶段进入工业化中期阶段,并形成集汽车制造、食品加工、海洋装备制造等较完整的工业产业体系。然而受国内外工业经济发展的影响及工业发展存在下行风险的影响下,工业发展效率也越来越受到关注,特别是为迎接第三次工业革命的所带来的较高的技术和产业革命的变革下,提高广西工业发展效率已经成为广西工业的发展的重要转折点。因此,本文在索洛模型下,通过空间计量分析对广西工业全要素生产率及其影响因素进行研究分析。通过对广西工业经济发展的差异性分析可以看出,随着广西工业规模的不断扩大,广西工业增加值的极差上升趋势明显高于均值和标准差的上升趋势,14个市工业经济的两极分化现象在不断的增加。广西工业增加值的变异系数表现出较为明显的波动现象,极差率则表现的相对平稳。南宁市、柳州市、桂林市为广西工业发展的中心城市,与中心城市地理距离边近的城市的工业经济发展也较好,广西工业经济具有较强的空间相关性和空间集聚现象。分析结果表明,目前广西工业尚属于较明显的劳动驱动型,资本对工业的拉动作用不如劳动拉动作用明显,空间滞后模型及空间误差模型计算的广西工业全要素生产率的平均值中最高的是北海市和梧州市,全要素生产率为0.43,最低的为河池市,仅为0.15,除了河池市、来宾市、贵港市、钦州市以外,防城港市、桂林市、南宁市、贺州市、柳州市的全要素生产率均在0.30以上,这些城市均集中在北部湾经济区和西江经济带,这和广西整体经济社会发展态势及广西工业发展的空间分布格局基本相吻合。通过对广西工业全要素生产率的影响因素进行研究可以发现,国外贸易影响度、工业投资水平、市场化率、交通基础设施水平等指标对广西工业全要素生产率的影响具有正的影响,而信息化水平、科技创新水平、每万人专利拥有数量三个指标对广西工业全要素生产率具有负的影响。
[Abstract]:In recent years, the scale of Guangxi's industrial development has grown steadily, its development foundation has been strengthened and the speed of its development has become faster and faster. It has moved from the early stage of industrialization to the intermediate stage of industrialization, and has formed a collection of automobile manufacturing and food processing. Marine equipment manufacturing and other relatively complete industrial system. However, under the influence of industrial economic development at home and abroad and the downside risk of industrial development, the efficiency of industrial development has been paid more and more attention. Especially in order to meet the higher technological and industrial revolution brought by the third Industrial Revolution, improving the efficiency of Guangxi's industrial development has become an important turning point of Guangxi's industrial development. Therefore, based on Solow model, this paper analyzes the total factor productivity of Guangxi industry and its influencing factors through spatial econometric analysis. Through the analysis of the difference of Guangxi's industrial economic development, it can be seen that with the continuous expansion of Guangxi's industrial scale, the rising trend of the value added of Guangxi's industrial value is obviously higher than the rising trend of the mean value and standard deviation. The polarization of industrial economy of 14 cities is increasing continuously. The coefficient of variation of industrial added value in Guangxi shows obvious fluctuation phenomenon, and the extreme difference rate is relatively stable. Nanning, Liuzhou and Guilin are the central cities of Guangxi's industrial development, and the cities close to the central cities have better industrial economic development. Guangxi's industrial economy has strong spatial correlation and spatial agglomeration. The results show that Guangxi's industry is still a labor-driven type at present, and the pulling effect of capital on industry is not as obvious as that of labor-driven industry. The average value of total factor productivity of Guangxi industry calculated by spatial lag model and spatial error model is the highest in Beihai City and Wuzhou City. The total factor productivity is 0.43, and the lowest is Hechi City, which is only 0.15, except Hechi City. The total factor productivity of Laibin, Guigang, Qinzhou, Fangchenggang, Guilin, Nanning, Hezhou and Liuzhou are all above 0.30. These cities are all concentrated in Beibu Gulf Economic Zone and Xijiang Economic Zone. This is consistent with the overall economic and social development situation of Guangxi and the spatial distribution pattern of Guangxi industrial development. By studying the influencing factors of total factor productivity of industry in Guangxi, we can find that the degree of influence of foreign trade, the level of industrial investment, the rate of marketization, The level of transportation infrastructure has a positive effect on the total factor productivity of Guangxi industry, while the level of information, the level of scientific and technological innovation and the number of patents per 10,000 people have negative effects on the total factor productivity of Guangxi industry.
【学位授予单位】：广西师范学院
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：F427
本文编号：2348768
[Abstract]:In recent years, the scale of Guangxi's industrial development has grown steadily, its development foundation has been strengthened and the speed of its development has become faster and faster. It has moved from the early stage of industrialization to the intermediate stage of industrialization, and has formed a collection of automobile manufacturing and food processing. Marine equipment manufacturing and other relatively complete industrial system. However, under the influence of industrial economic development at home and abroad and the downside risk of industrial development, the efficiency of industrial development has been paid more and more attention. Especially in order to meet the higher technological and industrial revolution brought by the third Industrial Revolution, improving the efficiency of Guangxi's industrial development has become an important turning point of Guangxi's industrial development. Therefore, based on Solow model, this paper analyzes the total factor productivity of Guangxi industry and its influencing factors through spatial econometric analysis. Through the analysis of the difference of Guangxi's industrial economic development, it can be seen that with the continuous expansion of Guangxi's industrial scale, the rising trend of the value added of Guangxi's industrial value is obviously higher than the rising trend of the mean value and standard deviation. The polarization of industrial economy of 14 cities is increasing continuously. The coefficient of variation of industrial added value in Guangxi shows obvious fluctuation phenomenon, and the extreme difference rate is relatively stable. Nanning, Liuzhou and Guilin are the central cities of Guangxi's industrial development, and the cities close to the central cities have better industrial economic development. Guangxi's industrial economy has strong spatial correlation and spatial agglomeration. The results show that Guangxi's industry is still a labor-driven type at present, and the pulling effect of capital on industry is not as obvious as that of labor-driven industry. The average value of total factor productivity of Guangxi industry calculated by spatial lag model and spatial error model is the highest in Beihai City and Wuzhou City. The total factor productivity is 0.43, and the lowest is Hechi City, which is only 0.15, except Hechi City. The total factor productivity of Laibin, Guigang, Qinzhou, Fangchenggang, Guilin, Nanning, Hezhou and Liuzhou are all above 0.30. These cities are all concentrated in Beibu Gulf Economic Zone and Xijiang Economic Zone. This is consistent with the overall economic and social development situation of Guangxi and the spatial distribution pattern of Guangxi industrial development. By studying the influencing factors of total factor productivity of industry in Guangxi, we can find that the degree of influence of foreign trade, the level of industrial investment, the rate of marketization, The level of transportation infrastructure has a positive effect on the total factor productivity of Guangxi industry, while the level of information, the level of scientific and technological innovation and the number of patents per 10,000 people have negative effects on the total factor productivity of Guangxi industry.
【学位授予单位】：广西师范学院
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：F427
【参考文献】
相关期刊论文 前1条
1 郭庆旺,贾俊雪;中国全要素生产率的估算:1979—2004[J];经济研究;2005年06期
，本文编号：2348768
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