Statistical research on the relationship between science and technology innovation input and output of Xinjiang coal chemical industry (2000-2023)
新疆煤化工产业科技创新投入与产出关系统计研究（2000-2023年）

摘要

以新疆煤化工产业为研究对象，利用2000-2023年新疆区域面板数据来考察科技创新投入和产出之间统计上的关联性关系，厘清科技创新投入与产出的内涵、指标体系及区域适配性；用描述性统计、趋势分析和结构分解来描绘新疆煤化工领域的科技创新投入总量特点。构建多元线性回归模型、门槛效应模型和空间杜宾模型（SDM），实证检验投入对产出的边际效应、非线性的响应机制以及空间溢出的影响，总结科技创新投入与产出之间的关系。提出了改善投资结构、加强企业创新能力、健全成果转化体系以及形成区域合作创新网络的对策建议，为新疆煤化工产业可持续增长提供统计数据以及决策支持。

Abstract

Taking Xinjiang’s coal chemical industry as the research object, this paper adopts Xinjiang regional panel data from 2000 to 2023 to investigate the statistical correlation between science and technology innovation input and output, and clarifies the connotation, indicator system and regional adaptability of innovation input and output. Descriptive statistics, trend analysis and structural decomposition are applied to characterize the overall features of scientific and technological input in Xinjiang’s coal chemical sector. Multiple linear regression model, threshold effect model and Spatial Durbin Model (SDM) are constructed to empirically test the marginal effect of input on output, nonlinear response mechanism and spatial spillover impacts, so as to summarize the relationship between science and technology innovation input and output. Countermeasures and suggestions are put forward to optimize investment structure, enhance enterprises’ innovation capacity, improve the system for achievement transformation, and build a regional collaborative innovation network. This study provides statistical evidence and decision-making support for the sustainable development of Xinjiang’s coal chemical industry.