IMPACTS OF TECHNICALLY-SUPPORTING-XINJIANG ON XINJIANG‘S HIGH-TECH INDUSTRIES

doi:10.13776/j.cnki.resourcesindustries.20241024.003

Abstract

Abstract: Aiming at the impacts of technically-supporting-Xinjiang on Xinjiang’s high-tech industries, this paper uses western China‘s 11 provinces 2003 to 2020 panel data with exception of Tibet, combined with Schumpeter’s innovation theory and main approaches of technically-supporting-Xinjiang to study their functioning mechanisms in technical conduction, resource allocation and industrial supports, experimentally verified by dual differentiation model and mediating model. The results show a notable negative effect, which means technically-supporting-Xinjiang policy was unable to promote Xinjiang‘s high-tech industries. Lagging dynamic effect tests show a 2-year’s lagging effect disables the promotion of technical-supporting-Xinjiang policy in a timely manner. Impacting mechanism indicates that technical conduction plays a masking role that boosts Xinjiang‘s technical cooperation with supporters to some extent; however, Xinjiang can’t make full use of the imported high tech due to its vulnerability in self-research and development abilities. Resource allocation plays a negative mediating role, governmental over intervention and inappropriate arrangements will mess up the market‘s demand & supply. So do industrial supports, over dependence of enterprises upon governmental supports will lead to a “squeezing effect” that makes enterprises reduce inputs, thus decreasing their self-innovative and developing abilities. This paper presents suggestions on establishing a new and full-scale technical cooperation model to fulfill innovative cooperation potentials, on optimizing innovative servicing to promote a quick transformation of technical achievements, and on improving industrial supports to stimulate the inner drive of innovation.

Key words: technically-supporting-Xinjiang, high-tech, industrial development, dual differentiation model

摘要： 为研究科技援疆政策对新疆高新技术产业发展的影响，基于2003—2020年中国西部地区除西藏外的11个省份的面板数据，结合熊彼特创新理论等相关理论和科技援疆政策的主要措施，分析了技术传导、资源配置和产业扶持三大机制在科技援疆政策影响新疆高新技术产业发展中的作用机制，并构建双重差分模型、中介效应模型进行实证分析。研究结果表明：科技援疆政策对其产生了显著的负向效应，反映了科技援疆政策未能有效促进新疆高新技术产业的发展；滞后动态效应检验分析表明，科技援疆政策的实施存在2年的时滞性，使得科技援疆政策对新疆高新技术产业发展的推动作用无法及时显现。进一步的影响机制检验结果表明，1）技术传导机制在科技援疆政策影响高新技术产业发展过程中发挥遮掩效应，该机制在一定程度上深化了疆内外的创新联动和科技合作，但由于新疆企业自主研发能力较弱，难以完全消化吸收引进的高新技术，进而弱化了政策对新疆高新技术产业发展的推动作用；2）资源配置机制在其中发挥负向中介效应，政府的过度干预和不合理的安排会扰乱市场的供需关系，造成创新资源出现错配，最终导致该机制未能有效发挥市场的作用；3）产业扶持机制在其中发挥负向中介效应，由于企业容易过度依赖政府的扶持，导致政策产生“挤出效应”，使企业的投入减少，从而降低了企业的自主创新能力和自我发展能力。基于此，提出以下政策建议：1）构建全方位科技合作互动模式，激发创新合作潜能；2）优化创新服务体系，促进科技成果快速转化；3）完善产业扶持措施，激发创新主体内生动力。

关键词: 科技援疆, 高新技术, 产业发展, 双重差分模型

CLC Number:

F273.1
F204

WU Huiwen, WU Zhengping. IMPACTS OF TECHNICALLY-SUPPORTING-XINJIANG ON XINJIANG‘S HIGH-TECH INDUSTRIES[J]. Resources & Industries, 2024, 26(5): 101-113.

吴惠文, 吴正平. 科技援疆对新疆高新技术产业发展的影响研究[J]. 资源与产业, 2024, 26(5): 101-113.

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