Effect of demographic structure on resource utilisation using term frequency–inverse document frequency algorithm – evidence from China
China has stepped into middle-income status, which is characterised by demographic imbalance and huge discrepancy of resource utilisation, resulting in an imbalance of regional development. Using term frequency–inverse document frequency algorithm, the authors extract the resource keywords and construct the resource utilisation index. The authors then explore the impact of demographic structure on resource utilisation. The main conclusions are as follows: (i) according to the Moran Index, there are strong spatial autocorrelations in resource utilisation at the provincial level in China; (ii) the empirical results demonstrate that the regression coefficients of spatial lags are significant. This provides compelling evidences that the neighbouring regions have obvious spatial spillover effects on local resource utilisation; (iii) the authors’ findings also reveal that the total dependency ratio which reflects the demographic structure has a negative and significant effect on resource utilisation. With other explanatory variables held constant, the child-age dependency ratio and old-age dependency ratio perform differently in the robustness testing. Ultimately, targeted and systematic policy suggestions are proposed to improve resource utilisation and adjust the demographic structure.