sj-docx-1-aas-10.1177_00953997231162548 – Supplemental material for Does National Culture Influence Global Policy Diffusion: Evidence From Gender Mainstreaming Policy Using Qualitative Comparative Analysis (QCA)

Supplemental material, sj-docx-1-aas-10.1177_00953997231162548 for Does National Culture Influence Global Policy Diffusion: Evidence From Gender Mainstreaming Policy Using Qualitative Comparative Analysis (QCA) by Jing He in Administration & Society</p

Endogenous estimation results: The influence of innovation factor double circulation and cross-border flow on manufacturing industry total factor productivity.

Endogenous estimation results: The influence of innovation factor double circulation and cross-border flow on manufacturing industry total factor productivity.</p

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ObjectivesThe improvement of the manufacturing industry’s total factor productivity depends not only on innovation factor double circulation, but also on cross-border mobility to a large extent.MethodologyThis paper constructs a model that demonstrates the impact of innovation factor double circulation and cross-border flow on the manufacturing industry’s total factor productivity, and it seeks to estimate this impact by using panel data from China’s manufacturing industry taken from the period 2009–2020.FindingsIt finds the path dependence of innovation factors significantly increased their double circulation cost, and did not significantly improve the manufacturing industry’s total factor productivity.ConclusionIt finds the path dependence of innovation factors significantly increased their double circulation cost, and did not significantly improve the manufacturing industry’s total factor productivity. Cross-border flow improves the marginal efficiency of innovation factors, realizes the spatial agglomeration of high-end innovation factors and greatly promotes the double circulation of innovation factors in a way that effectively improves the manufacturing industry’s total factor productivity.ImplicationsThese conclusions have profound policy implications: cross-border flows can promote the incremental adjustment of innovation factors; fully release the development potential and toughness of the dual circulation of innovation factors; and are essentially conducive to improving the manufacturing industry’s total factor productivity.</div

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ObjectivesThe improvement of the manufacturing industry’s total factor productivity depends not only on innovation factor double circulation, but also on cross-border mobility to a large extent.MethodologyThis paper constructs a model that demonstrates the impact of innovation factor double circulation and cross-border flow on the manufacturing industry’s total factor productivity, and it seeks to estimate this impact by using panel data from China’s manufacturing industry taken from the period 2009–2020.FindingsIt finds the path dependence of innovation factors significantly increased their double circulation cost, and did not significantly improve the manufacturing industry’s total factor productivity.ConclusionIt finds the path dependence of innovation factors significantly increased their double circulation cost, and did not significantly improve the manufacturing industry’s total factor productivity. Cross-border flow improves the marginal efficiency of innovation factors, realizes the spatial agglomeration of high-end innovation factors and greatly promotes the double circulation of innovation factors in a way that effectively improves the manufacturing industry’s total factor productivity.ImplicationsThese conclusions have profound policy implications: cross-border flows can promote the incremental adjustment of innovation factors; fully release the development potential and toughness of the dual circulation of innovation factors; and are essentially conducive to improving the manufacturing industry’s total factor productivity.</div

Main variable descriptive statistics.

ObjectivesThe improvement of the manufacturing industry’s total factor productivity depends not only on innovation factor double circulation, but also on cross-border mobility to a large extent.MethodologyThis paper constructs a model that demonstrates the impact of innovation factor double circulation and cross-border flow on the manufacturing industry’s total factor productivity, and it seeks to estimate this impact by using panel data from China’s manufacturing industry taken from the period 2009–2020.FindingsIt finds the path dependence of innovation factors significantly increased their double circulation cost, and did not significantly improve the manufacturing industry’s total factor productivity.ConclusionIt finds the path dependence of innovation factors significantly increased their double circulation cost, and did not significantly improve the manufacturing industry’s total factor productivity. Cross-border flow improves the marginal efficiency of innovation factors, realizes the spatial agglomeration of high-end innovation factors and greatly promotes the double circulation of innovation factors in a way that effectively improves the manufacturing industry’s total factor productivity.ImplicationsThese conclusions have profound policy implications: cross-border flows can promote the incremental adjustment of innovation factors; fully release the development potential and toughness of the dual circulation of innovation factors; and are essentially conducive to improving the manufacturing industry’s total factor productivity.</div

Basic estimation results: The influence of the double circulation and cross-border flow of innovation factors on the manufacturing industry’s total factor productivity.

Basic estimation results: The influence of the double circulation and cross-border flow of innovation factors on the manufacturing industry’s total factor productivity.</p

Residue side chain contact model.

<p>(A) All-atom sidechain model; (B) Simple isotropic sphere side chain model will cause spurious overlaps; (C) Effective overlap radius and contact radius of residue side chain atoms in the ADC contact model. (D) Effective overlap radius and contact radius in the ISS model.</p

Robustness estimation results: The influence of innovation factor double circulation and cross-border flow on the productivity of new manufacturing products.

Robustness estimation results: The influence of innovation factor double circulation and cross-border flow on the productivity of new manufacturing products.</p

The contact distance distribution for residue pair Val–Phe at difference gap distances.

<p>The stem with circle indicates the minimal cutoff distance . The stem with a square indicates the maximal cutoff distance. The stars indicate high occurrence peaks. The diamonds indicate occurrence valley position. The is the minimal atom-to-atom distance between Val and Phe side chains. As the gap distance increases from 0 to 8 Å, the cutoff distance increases simultaneously.</p

Examples of the ellipsoid overlap and side chain positions in PDB structures.

<p>(A) Glu-Arg overlap in 1IO0; (B) Glu260-Arg286 side chain postions in 1IO0 ; (C) Asp-Arg overlap in 1C7K; (D) Asp49-Arg51 side chain postions in 1C7K.</p