التنبؤ بالتوظيف في قطاع الطاقات المتجددة في الصين

Abstract

This study aims to develop an econometric model that enables forecasting employment in the renewable energy sector in China and to examine the role of the transition toward renewable energy investment in job creation, with a focus on the Chinese experience as a case study. The study relies on time series data covering the period from 2012 to 2023. To achieve its objectives, several statistical techniques were employed, including Welch’s ANOVA test, Dunnett’s test, and the (ARIMA) models. The findings show that China is a leading country in clean energy employment, with steady progress toward sectoral dominance.The study revealed that the optimal model for forecasting employment in the renewable energy during the period 2024–2030 is the ARIMA (0,1,0), which the highest of accuracy and reliability.