在爪岛的区域国内生产总值数据的空间自回归量子回归建模
Sulvirah Rahmi1, Nurtiti Sunusi1, Nirwan Ilyas1
1Department of Mathematics and Natural Sciences, Hasanuddin University, Jl. Perintis Kemerdekaan KM. 10, Makassar City 90245, Indonesia.
MethodsX
|September 29, 2025
概括
这项研究表明,工人数量是爪岛地区国内生产总值 (GDP) 的关键驱动因素. 其他经济因素,如当地自有来源收入 (LOSR) 和人类发展指数 (HDI),在特定水平上影响GRDP.
科学领域:
- 经济学 经济学 经济学
- 区域科学 地区科学
- 空间计量经济学空间计量
背景情况:
- 爪岛对国家区域国内生产总值 (GRDP) 的贡献很大.
- 分析显示了爪岛GRDP数据中的空间依赖性,异质性和异常值.
- 了解影响区域经济表现的因素对于发展至关重要.
研究的目的:
- 通过检查区域国内生产总值 (GRDP) 来分析爪岛的经济状况.
- 确定影响GRDP不同经济层面的关键因素.
- 应用先进的空间计量经济学模型进行可靠的分析.
主要方法:
- 使用空间自回归量子回归 (SARQR) 模型来处理空间依赖性和异质性.
- 使用仪器变量量子回归 (IVQR) 进行模型估计.
- 使用沃尔德测试评估变量显著性,并通过量子验证技能得分 (QVSS) 评估模型性能.
主要成果:
- 工人数量对所有量度的GRDP有重大影响.
- 当地自有来源收入 (LOSR),县/市最低工资 (RCMW) 和人类发展指数 (HDI) 显示出量子特异性影响.
- 该SARQR模型在0.6量子位 (QVSS = 0.9052) 实现了最佳性能.
结论:
- 工人数量是爪岛GRDP的一贯驱动因素.
- 经济因素的影响因GRDP水平而异,需要进行量级特定分析.
- SARQR模型为分析具有空间复杂性的区域经济数据提供了一个强大的框架.
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