The complex relationship between anti-immigrant sentiment and exposure in the Netherlands
研究利用创新指标探讨荷兰移民接触与反移民情绪间的关系,发现高接触区反移民情绪较低,但过度接触会导致右翼选票增加,且财富在其中起重要作用。
研究利用创新指标探讨荷兰移民接触与反移民情绪间的关系,发现高接触区反移民情绪较低,但过度接触会导致右翼选票增加,且财富在其中起重要作用。
This study addresses the challenge that standard growth models face in explaining the long-run convergence of developing economies toward the technological frontier. It proposes a novel framework in which technology diffusion is modeled as a herding adoption process driven by individual incentives and peer effects, yielding a nonlinear dynamic model with microfoundations. Embedded within a neoclassical growth setting, the model endogenously characterizes the evolution of total factor productivity. Its parameters possess clear economic interpretations and permit analytical solutions. The model successfully fits OECD productivity data from Central and Eastern European countries, accurately capturing both the trajectory and pace of their convergence. This approach offers a new perspective on the interplay between technology diffusion and economic growth.
This study investigates the dynamic macroeconomic determinants of per capita GDP growth in Central and Eastern European (CEE) countries during their convergence toward Western Europe. Employing a time-varying coefficient panel regression model—with annual PPP-based per capita GDP growth as the dependent variable—it systematically estimates the evolving effects of initial GDP level, price levels, trade openness, investment, and private debt. Methodologically, it innovatively incorporates time-varying slopes into convergence analysis, capturing the non-stationary evolution of policy and external environment impacts. Empirically, it identifies private debt as the key driver of growth heterogeneity, substantially enhancing the explanatory power of traditional β-convergence theory for divergent CEE development trajectories. Results reveal pronounced spatiotemporal heterogeneity in macroeconomic influences, with private debt exhibiting both exceptional salience and a sustained strengthening effect over time.
研究利用创新指标探讨荷兰移民接触与反移民情绪间的关系,发现高接触区反移民情绪较低,但过度接触会导致右翼选票增加,且财富在其中起重要作用。
This study addresses the challenge that standard growth models face in explaining the long-run convergence of developing economies toward the technological frontier. It proposes a novel framework in which technology diffusion is modeled as a herding adoption process driven by individual incentives and peer effects, yielding a nonlinear dynamic model with microfoundations. Embedded within a neoclassical growth setting, the model endogenously characterizes the evolution of total factor productivity. Its parameters possess clear economic interpretations and permit analytical solutions. The model successfully fits OECD productivity data from Central and Eastern European countries, accurately capturing both the trajectory and pace of their convergence. This approach offers a new perspective on the interplay between technology diffusion and economic growth.
This study investigates the dynamic macroeconomic determinants of per capita GDP growth in Central and Eastern European (CEE) countries during their convergence toward Western Europe. Employing a time-varying coefficient panel regression model—with annual PPP-based per capita GDP growth as the dependent variable—it systematically estimates the evolving effects of initial GDP level, price levels, trade openness, investment, and private debt. Methodologically, it innovatively incorporates time-varying slopes into convergence analysis, capturing the non-stationary evolution of policy and external environment impacts. Empirically, it identifies private debt as the key driver of growth heterogeneity, substantially enhancing the explanatory power of traditional β-convergence theory for divergent CEE development trajectories. Results reveal pronounced spatiotemporal heterogeneity in macroeconomic influences, with private debt exhibiting both exceptional salience and a sustained strengthening effect over time.