The allocation of carbon emission quotas is crucial to the establishment of carbon emission
trading scheme (ETS) in response to China's 2030 emission reduction target. Thus, based …

Small area estimation is a research area in official and survey statistics of great practical
relevance for national statistical institutes and related organizations. Despite rapid …

Never better said, a correct diagnosis is crucial for patient recovery. In the eradication of
poverty, which is the first of the sustainable development goals (SDGs) established by the …

This paper provides an overview of the available cluster-based measures of geographical
and sectoral concentration (often referred to as specialisation) and tests their statistical …

Small area models typically depend on the validity of model assumptions. For example, a
commonly used version of the empirical best predictor relies on the Gaussian assumptions …

A robust multi-functional framework for widespread planning of nature-based solutions
(NBS) must incorporate components of social equity and hydro-environmental performance …

This paper builds upon the EU2020 strategy, following the smart and inclusive growth
paradigm, that treats human capital as a central component of regional development …

The Gini index is probably the most commonly used indicator to measure inequality. For
continuous distributions, the Gini index can be computed using several equivalent …

Given recent circular economy policy and waste minimisation targets, there is a significant
opportunity to fundamentally change the way waste is managed in Australia, and re-focus …

This study suggests the use of a geographically-varying Gini coefficient to better understand
local dynamics between income inequality and socioeconomic attributes. We estimate local …