Research on the Nonlinear Impact of Environmental Regulation on the Efficiency of China’s Regional Green Economy: Insights from the PSTR Model

Table 2

Calculation results of regional green economy efficiency.

Region		2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	Mean
Eastern	Beijing	1.223	1.246	1.457	1.981	2.223	2.312	2.414	2.778	3.013	3.235	3.567	3.764	3.965	2.552
	Tianjin	0.766	0.769	0.802	0.812	0.839	0.842	0.849	0.816	1.021	1.121	1.242	1.132	1.493	0.962
	Hebei	0.312	0.354	0.379	0.599	0.727	0.833	0.867	0.878	0.898	0.909	0.919	0.922	0.937	0.733
	Liaoning	0.365	0.366	0.387	0.396	0.425	0.456	0.464	0.478	0.494	0.549	0.675	0.783	0.829	0.513
	Shanghai	1.131	1.156	1.190	1.424	1.541	1.765	1.989	2.156	2.345	2.657	2.768	2.987	3.543	2.050
	Jiangsu	0.855	0.876	0.887	0.921	0.933	0.956	1.017	1.234	1.451	1.656	1.768	1.892	1.917	1.259
	Zhejiang	0.776	0.835	0.895	0.923	0.986	1.122	1.324	1.564	1.764	1.982	2.236	2.476	2.781	1.513
	Fujian	0.778	0.798	0.836	0.879	0.946	0.968	0.997	1.147	1.255	1.356	1.459	1.556	1.754	1.133
	Shandong	0.769	0.783	0.798	0.816	0.838	0.892	0.916	0.934	0.967	0.981	1.065	1.097	1.121	0.921
	Guangdong	0.903	0.927	0.987	1.033	1.139	1.232	1.333	1.437	1.449	1.478	1.504	1.558	1.663	1.280
	Hainan	0.813	0.834	0.879	0.887	0.898	0.921	0.998	1.163	1.268	1.366	1.471	1.474	1.479	1.112
Central	Shanxi	0.419	0.426	0.437	0.487	0.566	0.678	0.748	0.756	0.768	0.777	0.789	0.797	0.809	0.651
	Jilin	0.515	0.536	0.567	0.589	0.651	0.683	0.761	0.782	0.865	0.967	1.157	1.272	1.477	0.832
	Heilongjiang	0.633	0.662	0.689	0.731	0.835	0.934	0.996	1.038	1.082	1.248	1.351	1.455	1.563	1.017
	Anhui	0.755	0.787	0.838	0.894	0.935	0.974	0.989	1.158	1.162	1.173	1.245	1.346	1.452	1.054
	Jiangxi	0.401	0.511	0.526	0.531	0.552	0.573	0.585	0.599	0.612	0.634	0.666	0.687	0.721	0.584
	Henan	0.566	0.578	0.598	0.615	0.629	0.649	0.676	0.723	0.725	0.728	0.786	0.867	0.943	0.699
	Hubei	0.506	0.518	0.544	0.567	0.578	0.76	0.58	0.583	0.589	0.597	0.599	0.605	0.614	0.588
	Hunan	0.767	0.778	0.789	0.797	0.806	0.813	0.833	0.857	0.879	0.893	0.903	0.934	0.984	0.849
Western	Neimenggu	0.311	0.305	0.346	0.354	0.365	0.401	0.455	0.458	0.467	0.476	0.489	0.509	0.519	0.420
	Guangxi	0.474	0.478	0.489	0.495	0.499	0.509	0.512	0.533	0.542	0.556	0.568	0.587	0.593	0.526
	Chongqing	0.512	0.549	0.587	0.655	0.775	0.833	0.942	1.054	1.392	1.543	1.665	1.779	1.924	1.093
	Sichuan	0.513	0.516	0.526	0.554	0.566	0.578	0.588	0.596	0.599	0.612	0.619	0.637	0.649	0.581
	Guizhou	0.347	0.348	0.351	0.359	0.365	0.367	0.377	0.386	0.393	0.425	0.436	0.447	0.465	0.390
	Yunnan	0.512	0.515	0.519	0.524	0.526	0.538	0.546	0.557	0.567	0.572	0.583	0.597	0.617	0.552
	Shaanxi	0.687	0.693	0.703	0.726	0.732	0.778	0.792	0.828	0.844	0.857	0.879	0.894	0.923	0.795
	Gansu	0.221	0.218	0.223	0.229	0.239	0.244	0.258	0.273	0.299	0.313	0.338	0.349	0.367	0.275
	Qinghai	0.328	0.332	0.345	0.351	0.354	0.364	0.373	0.385	0.389	0.394	0.399	0.416	0.424	0.373
	Ningxia	0.265	0.271	0.276	0.288	0.296	0.307	0.309	0.313	0.328	0.334	0.343	0.357	0.367	0.312
	Xinjiang	0.378	0.389	0.394	0.399	0.403	0.424	0.425	0.427	0.436	0.446	0.458	0.461	0.473	0.424
National mean		0.593	0.612	0.641	0.694	0.739	0.790	0.830	0.896	0.962	1.028	1.098	1.155	1.246	0.868