区域商业周期与制造业生产率:哥伦比亚的经验证据

Andres Mauricio Gomez Sanchez, Juliana Isabel Sarmiento-Castillo, Claudia Liceth Fajardo-Hoyos
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引用次数: 1

摘要

目的本文的目的是解开在发展中国家,即哥伦比亚的区域商业周期和制造业生产力之间的同时期和非同时期的关系。这个方法是定量的。针对生产函数的内质性问题和生产率的马尔可夫过程的运动规律,利用广义矩架法(GMM)联合估计的Wooldridge方程组,得到了全要素生产率(TFP)。其次,为了避免偏差,我们通过卡尔曼滤波器估计区域经济周期。随后,我们实施了一种工具变量/广义矩回归方法(IV/GMM)来捕捉区域层面上同期和内生的TFP-GDP周期的联系。最后,为了处理非同期联系,作者估计了每个地区带有外生变量的向量自回归模型(VARX)。并给出了相应的脉冲响应函数。研究结果作者的总体结果表明,在该国最发达的地区,生产率与GDP之间存在显著的因果关系,无论是当代的还是非当代的(但不是相反)。这意味着生产率可以在短期和长期影响地区的经济增长。这些结果与经济理论的预期不同,值得地方经济决策者考虑。研究的局限性/意义作者认为,应该在制造业的每个部门层面进行更详细的分析,以进一步澄清这些发现。政策应以通过补贴获得尖端技术为导向,并应促进获得金融资本和对研发实验室的投资。另一方面,与国际贸易的联系也必须加强,因为中间投入的进口和产出的出口使公司能够获得具体技术,也通过进出口过程获得学习,并最终在国外市场获得经验和竞争力。社会影响在提供国内50%以上经济活动的地区(第三地区),因果关系只有一个方向,从TFP到国内生产总值(GDP),而不是相反。由于GDP对TFP的影响在其余地区是最小的,制造业生产率对哥伦比亚短期和长期的区域经济增长都有影响。这意味着必须修改宏观区域层面的经济政策;政府应该给予制造业额外的支持,特别是在发达地区和中小企业(占制造业企业的92%),以促进未来的经济增长。作者的贡献有三个方面。首先,他们特别关注同时期的周期关系(即顺周期、反周期或非周期)以及与生产率的非同时期因果关系。其次,他们用考虑内生马尔可夫过程的GMM双方程系统估计生产率。第三,据他们所知,至少在拉丁美洲的情况下,没有在这方面结合这些统计方法的研究,包括哥伦比亚的研究。
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Regional business cycles and manufacturing productivity: empirical evidence in Colombia
PurposeThe aim of this paper is to disentangle the contemporaneous and non-contemporaneous relationship between regional business cycles and manufacturing productivity in a developing country, namely Colombia.Design/methodology/approachThe methodology is quantitative. To deal with the problems of endogeneity in the production function and with the law motion of productivity (the Markov process), the authors obtain Total Factor Productivity (TFP) through the Wooldridge’s two equations system that can be jointly estimated under the generalized method of moments framework (GMM). Secondly, to avoid bias we estimate regional business cycles through the Kalman filter. Subsequently, we implement an instrumental variables/generalized method of moments regression (IV/GMM) to capture the contemporaneous and endogenous TFP–GDP cycles’ linkage at the regional level. Lastly, to deal with the non-contemporaneous link, the authors estimate a vector autoregressive model with exogenous variables (VARX) for each region. We also present the corresponding impulse–response functions.FindingsThe authors’ general results suggest a remarkable causality, both contemporary and non-contemporary, from productivity to GDP (but not vice versa) in the most developed regions of the country. This implied productivity could influence in the economic growth of regions in short and long runs. These results are different than those expected by economic theory and should be considered by local economic policy makers.Research limitations/implicationsThe authors consider that a more detailed analysis should be carried out at the level of each sector within the manufacturing industry to further clarify these findings.Practical implicationsThe policy should be oriented to obtaining cutting-edge technologies through subsidies, and also should facilitate the access to financial capital and the investment in R&D laboratories. On the other hand, the link with international trade also must be reinforced because the importing of intermediate inputs and exporting of output allow the firms to obtain embodied technologies, also to incur on learning by exporting and importing processes and finally to gain experience and competitiveness in foreign markets.Social implicationsThe causality in the region that provides more than 50% of economic activity within the country (Third region) is only in one directional, from TFP towards gross domestic product (GDP) and not vice versa. As the influence from GDP towards TFP is minimal in the remaining regions, the manufacturing productivity influences both short and long run regional economic growth in Colombia. This implies that economic policy at the level of macro-region must be modified; the government should give additional support to the manufacturing sector, especially in developed regions and for the small and medium-sized enterprises (SMEs) (wich represent 92% of manufacturing firms) to increase economic growth in the future.Originality/valueThe authors’ contribution is threefold. First, they pay special attention to the contemporaneous cyclical relationship (i.e. pro-cyclical, counter-cyclical or acyclic) and the non-contemporaneous causality with productivity. Second, they estimate productivity with the GMM two equation system considering an endogenous Markov process. Third, to the best of their knowledge, at least in the case of Latin America, there are no studies in this direction combining these statistic methods, including that of Colombia.
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