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Regional inequality in the process of economic growth has recently been a popular topic. This paper creatively proposes contribution decomposition methods to divide various regions' contributions into economic contribution and population contribution. The methods consider not only economic growth but also population change, which may be more effective than the traditional method that uses the per capita GDP (gross domestic product) as its single measurement indicator. Moreover, the objective is to take a step forward and reveal the spatio‐temporal evolution characteristics of regional disparities by integrating barycentre model and economic development equilibrium model. Lastly, the applicability of the research method proposed in this paper is verified by a case study of Jiangsu province, China; the results show a new regional economic pattern in Jiangsu province. [ABSTRACT FROM AUTHOR]

Under the deep and protracted recession that plagues the Greek regions, exports have shown some positive signs of resilience. This paper explores through a spatial econometric analysis of SUR models, first, the changes that occurred in exports by the (NUTS 3 level) regions for the period 2008–2012 to offer resistance against the crisis and to stimulate growth, which entail expansion of export demand, improvement in the quality of agricultural products, deeper specialization in broad low‐technology sectors and simultaneous increases in the variety inside these sectors and second, the ability of exports to transfer their growth gains to the broader economy. [ABSTRACT FROM AUTHOR]

Knowledge of the determinants of self‐employment income is critical to entrepreneurial development strategies if the development goal is to increase incomes not just employment. Using American Community Survey data, unconditional quantile regression is used to investigate differences in the relationship between entrepreneurial income and an array of individual, industry, and regional characteristics across the self‐employment income distribution. Personal attributes, such as education, race, age, and gender, both explain differences in self‐employment income and vary in importance across the income distribution. Regional agglomerative effects are significantly positive and stronger at the upper end of the self‐employed income distribution. [ABSTRACT FROM AUTHOR]