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经济增长的影响因素分析是一个非常有吸引力的科学议题。资源、劳动力、资本、技术或知识、制度以及空间因素等诸多因素逐步纳入分析的视野。投入要素的规模与产业规模均与产业网络的结构特征有关,需要将产业网络的结构特征引入到产业规模的解释框架之中。利用2005年北京市42部门的投入产出表数据,建立了产业交易链接网络,分析了该网络的基本特征;基于调节变量回归分析方法,讨论了产业网络在产业发展规模中的效能。结果发现:①不同产业间特有的经济技术联系使得产业间交易链接稀疏,集聚系数不高;②不同产业的供给市场数和需求市场数组合差异悬殊;③产业网络结构参量对产业规模的影响是双重的,其一表现为解释变量,如介数中心性;其二是半调节变量,强化了劳动力投入、固定资产投资与产业规模的因果关系,同时,对产业规模也有一定的解释作用。
Analysis of the economic growth factor is a very attractive scientific issue. Resources, labor, capital, technology or knowledge, institutions and spatial factors are gradually incorporated into the analysis. The scale of input elements and the scale of industry are all related to the structural characteristics of industrial networks. The structural characteristics of industrial networks need to be introduced into the industrial scale explanation framework. Based on the input-output data of 42 departments in Beijing in 2005, the network of industrial transactions was established, and the basic characteristics of the network were analyzed. Based on the analysis of regressive variables, the efficiency of industrial networks in the scale of industrial development was discussed. The results show that: (1) the unique economic and technological connections among different industries make the links between industries less sparse and the clustering coefficient not high; (2) there is great disparity between the number of supply and demand markets in different industries; (3) the influence of industrial network structure parameters on the scale of industry is The two are semi-adjusting variables, which reinforce the causal relationship between labor input, investment in fixed assets and industrial scale. At the same time, they also play an explanatory role in the industrial scale.