School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou, 310018, China.
School of Economics and Management, Zhejiang Normal University, Jinhua, 321004, China.
Environ Sci Pollut Res Int. 2023 Aug;30(36):85237-85248. doi: 10.1007/s11356-023-28346-7. Epub 2023 Jun 29.
The present study analyzes the asymmetric effects of technical innovation, foreign direct investment, and agriculture productivity on Pakistan's environmental degradation from 1990 to 2020. A non-linear autoregressive model (NARDL) has been used for the analysis. The asymmetric effects have been computed for both the long and short run. The empirical results show that there is equilibrium long-run relationship among the variables. Moreover, it is found that the effect of FDI on CO emission is positive regardless of whether there are positive or negative shocks to FDI in the long run. The short-run results are similar except for the positive shocks to FDIat lag one, which reduces environmental degradation in Pakistan. However, in the long run, population growth and positive (negative) shocks to technical innovation have a negative and significant impact on CO, whereas agriculture productivity is the main source of environmental degradation in Pakistan. The asymmetric tests show that FDI and agriculture productivity have strong asymmetric effects on the CO emissions in the long run, whereas there is weak evidence of, in the short and long run, asymmetric effects of technical innovations in Pakistan. These results are statistically significant, valid, and stable as per most of the diagnostic tests conducted and reported in the study.
本研究分析了技术创新、外国直接投资和农业生产力对 1990 年至 2020 年期间巴基斯坦环境退化的非对称影响。使用了非线性自回归模型(NARDL)进行分析。计算了长期和短期的非对称效应。实证结果表明,变量之间存在均衡的长期关系。此外,无论外国直接投资在长期内受到正向还是负向冲击,外国直接投资对 CO 排放的影响都是正向的。短期结果相似,除了外国直接投资在滞后一期的正向冲击会降低巴基斯坦的环境退化。然而,在长期内,人口增长和技术创新的正向(负向)冲击对 CO 有负面影响,而农业生产力是巴基斯坦环境退化的主要来源。非对称检验表明,外国直接投资和农业生产力对 CO 排放具有长期的强非对称影响,而技术创新在短期和长期内的非对称影响证据较弱。这些结果在统计上是显著的、有效的,并且根据研究中报告的大多数诊断测试是稳定的。