黑龙江省林业全要素生产率研究

发布时间：2018-05-12 07:30

本文选题：全要素生产率(TFP) + Malmquist指数　；参考：《东北林业大学》2015年硕士论文

【摘要】：经济增长一直是经济学研究中的一个重要领域。新古典经济增长理论认为,经济的增长来源于要素投入的增长和全要素生产率的提高。目前,黑龙江省林业发展面临森林资源锐减、生态环境恶化、林业经济增长后劲不足等诸多问题,长期以来依靠要素投入增长来拉动经济增长的粗放式发展模式,在边际报酬递减和资源约束的共同作用下难以为继。在这种情况下,对黑龙江省林业全要素生产率进行研究并有效提高黑龙江省林业全要素生产率成为突破当前发展瓶颈、促进黑龙江省林业经济健康可持续增长的关键。黑龙江省林业的发展离不开政策的引导和约束,而各项林业政策是国家作为决策者对林业发展偏好和规划的具体体现,决策者偏好对黑龙江的林业发展非常重要。同时林业作为集经济效益和生态效益于一身的综合性产业,各项资源的投入在创造经济产出的同时也带来了可观的生态产出。考虑到林业的生态产出和决策者偏好对黑龙江省林业发展的影响,本文在总结以往研究的基础上,以定向距离函数为基础,运用Malmquist指数方法,将生态产出和决策者偏好纳入模型中对黑龙江省林业全要素生产率进行计算,并将结果分解为技术水平变动、纯技术效率变动、规模效率变动三项进行具体分析。研究结果表明：2000-2012年黑龙江省林业全要素生产率整体呈下降趋势。从全要素生产率变动的分解结果来看,技术水平较低,技术落后是全要素生产率下降的主要原因,而纯技术效率和规模效率整体呈上升态势,是全要素生产率提升的主要动力,但仍然无法抵消技术落后带来的负面影响,另一方面,倾向于林业民生工程的资本投入结构也是造成黑龙江林业全要素生产率较低的重要原因之一。基于以上研究结果,论文提出鼓励企业技术创新,加大对科技项目投资力度,优化林区产业结构,推进林区企业转型升级,引导黑龙江省林业经济从资源驱动型向科技驱动型、效率驱动型转变等建议措施。
[Abstract]:Economic growth has been an important area of economic research. Neoclassical economic growth theory holds that economic growth comes from the growth of factor input and the improvement of total factor productivity. At present, the forestry development of Heilongjiang Province is faced with many problems, such as the sharp reduction of forest resources, the deterioration of ecological environment, the lack of reserve capacity of forestry economic growth, and so on. It is difficult to sustain under the joint action of diminishing marginal returns and resource constraints. In this case, the research on the total factor productivity of forestry in Heilongjiang Province and the effective improvement of the total factor productivity of forestry in Heilongjiang Province have become the key to break through the bottleneck of current development and promote the healthy and sustainable growth of forestry economy in Heilongjiang Province. The development of forestry in Heilongjiang Province can not be separated from the guidance and restriction of policies, and all forestry policies are the concrete embodiment of the state's preference and planning for forestry development as decision makers, and the preference of decision makers is very important to the forestry development of Heilongjiang Province. At the same time, as a comprehensive industry with economic and ecological benefits, the input of various resources not only creates economic output, but also brings considerable ecological output. Considering the influence of the ecological output of forestry and the preference of decision makers on the forestry development of Heilongjiang Province, based on the summary of previous studies and the directional distance function, the paper applies the Malmquist index method. The ecological output and the preference of decision makers were incorporated into the model to calculate the total factor productivity of forestry in Heilongjiang Province, and the results were decomposed into three items: technical level change, pure technical efficiency change and scale efficiency change. The results showed that the total factor productivity of forestry in Heilongjiang Province decreased from 2000 to 2012. According to the decomposition results of total factor productivity change, the technical level is low and the technical backwardness is the main reason for the total factor productivity decline, while the pure technical efficiency and the scale efficiency as a whole show an upward trend, which is the main motive force for the total factor productivity increase. On the other hand, the structure of capital investment inclined to forestry livelihood project is one of the important reasons for the low total factor productivity of forestry in Heilongjiang province. Based on the above research results, the paper proposes to encourage enterprises' technological innovation, increase investment in scientific and technological projects, optimize the industrial structure of forest regions, promote the transformation and upgrading of forestry enterprises, and guide the forestry economy of Heilongjiang Province from resource-driven to sci-tech driven. Efficiency-driven transformation and other suggested measures.
【学位授予单位】：东北林业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：F326.2

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