Effect of regional factor productivity on manufacturing sector: The case of Sino-Pak economic ties

Financial Innovation

Table 1 Summary statistics of Key variables in China and Pakistan

	China				Pakistan
	Mean	Std. Dev.	Min.	Max.	Mean	Std. Dev.	Min.	Max.
y_i: Industrial value-added	.048	.049	.009	.119	.048	.022	.023	.083
Γ_i: Market share	.048	.042	.009	.131	.048	.025	.022	.096
λ_i: Ratio of gross capital formation	.048	.045	.008	.139	.048	.022	.021	.088
\( {\mathcal{L}}_i \): Ratio of labor utilized in value-added production	.048	.021	.021	.079	.048	.013	.029	.071
ϕ_i: Ratio of Foreign direct investment inflow	.048	.035	.013	.106	.048	.045	.009	.161
V_Xi: value-added exports	.048	.046	.003	.154	.048	.036	.009	.117
V_Mi: Value-added Imports	.048	.039	.009	.127	.048	.045	.003	.149
p_i: Consumer Price index	.048	.009	.032	.063	.048	.025	.020	.096

y stands for industrial value-added share, Γ for market share, λ for capital share, \( \mathcal{L} \) for labor share, V_X, V_M represent value-added export and import, respectively. ϕ explains the volume of foreign direct investment and p stands for consumer price index.