Smart cities are a way for China to construct an innovative and environmentally conscious nation. The paper examines the impact of smart cities on corporate green governance and provides a theoretical foundation for formulating and executing smart city policy in China. Based on panel data from...

Given the rapid development of China's new urbanization, cities with different locations and varying functional positioning, resource endowments, and development stages have insufficient scientific and applicable technical tools for implementing the United Nations Sustainable Development Goals...

Rather than network of people, Internet of Things (IoT) is network that connect things. It is an interconnection of uniquely identifiable embedded computing devices. It enables things to access data and communicate with one another. Humans will continue to use Internet, but the future Internet...

This paper provides an introduction to the main types of graph in Stata that economics students might need. It covers univariate discrete and continuous variables, bivariate distributions, some simple time plots and methods of visualising the output from estimating models. It shows a small...

This paper provides a programme that computes in STATA a Firm-Level Cluster Index based on the method - with minor differences - from Thomas Brenner and Tobias Scholl, "Detecting Spatial Clustering Using a Firm-Level Cluster Index", Regional Studies, 2016, p. 1054-1068

This paper presents a new family of Stata functions devoted to small area estimation. Small area methods attempt to solve low representativeness of surveys within areas, or the lack of data for specific areas/sub-populations. This is accomplished by incorporating information from outside...

This paper provides an introduction to the main types of graph in Stata that economics students might need. It covers univariate discrete and continuous variables, bivariate distributions, some simple time plots and methods of visualising the output from estimating models. It shows a small...

This paper presents the R package AdMit which provides functions to approximate and sample from a certain target distribution given only a kernel of the target density function. The core algorithm consists in the function AdMit which fits an adaptive mixture of Student-t distributions to the...