Questions of land use/land cover change have attracted interest among a wide variety of
researchers concerned with modeling the spatial and temporal patterns of land conversion …

Spatial econometrics has been an ongoing research field. Recently, it has been extended to
panel data settings. Spatial panel data models can allow cross sectional dependence as …

To accelerate industrial structure adjustment and effectively mitigate carbon dioxide (CO 2)
emissions, this study aims to investigate the carbon emission reduction effect of China's …

Based on the data of BP Statistical Review of World Energy, KOF Globalization Index, and
the World Development Indicators, this paper explores the impact of technological …

The allocation of administrative resources is of vital importance, especially when discussing
the process of urbanization in China. Under the unique political and administrative systems …

Innovative cities, as spatial containers of innovation, help to accelerate the agglomeration of
innovation factors. Hence, they tend to rely on knowledge, science, and technology, rather …

Using the regional panel data of China's high-tech industry (HTI) from 2004 to 2016, this
study investigates the main effect, regulatory effect, and intermediary effect of digital …

Urban eco-efficiency, as an indicator to evaluate urban sustainability, has attracted
increased attention, and green technology innovation has been proved to be an effective …

Gaussian Markov Random Field (GMRF) models are most widely used in spatial statistics-a
very active area of research in which few up-to-date reference works are available. This is …

The role of geographically mediated knowledge externalities in regional innovation systems
has become a major issue in research policy. Although the process of innovation is a crucial …