The aim of this paper is to link the economic and marketing perspectives by means of the quantitative method to answer the question of whether traditional food products may play an important role in sustainable region development ensuring economic viability, and how (if at all) marketing should support this process. Due to the lack of unambiguous theoretical findings—the theory has not established a model of the impact of regional products on the food sector in the region and, further on, the economy—an atheoretical approach should be applied, which without priori findings (without favouring individual variable) will lead to an assessment of the above-described impact. Using the Bayesian approach, the authors have measured the above relations with respect to the case of Poland. The basis of the study is provided by a database developed by the authors for 16 Polish NUTS2 regions where lists of official traditional food products were compiled. Using the chosen method, a group of explanatory variables has been proposed (among them, a number of regional products) as factors potentially responsible for the dependent variable (value of agriculture production in the NUTS2 regions). The results indicate that the number of traditional food products does not determine the value of agricultural production on the level of the NUTS2 regions in Poland. This value is determined by commodity production rather than the factors of the so-called sustainable agriculture.

The main goal of this paper is to determine the factors responsible for economic growth at the global level. The indication of the sources of economic growth may be an important element of the sustainable economic policy for development. The novelty of this research lies in employing an analysis based on data, which consist of an average growth rate of the Gross Domestic Product (GDP) for 168 countries for the years 2002–2013. The Bayesian model averaging approach is used to identify potential factors responsible for differences in countries’ GDPs. Additionally, a jointness analysis is performed to assess the potential independence, substitutability, and complementarity of the factors of economic growth. The robustness of the results is confirmed by Bayesian averaging of classical estimates. We identify the most probable factors of economic growth, and we find that the most important determinants are variables associated with the so-called “Asian development model”.

Despite the empirical and theoretical work that has been done, the impact of economic growth on income inequality remains a matter of debate, and conclusions regarding these relationships are still far from consensus. The review of the literature revealed that different model specifications, different datasets, and different estimation methods can influence the relationship between economic growth and income inequality. Moreover, when it comes to developing countries, the debate becomes even more intense, even if most authors argue that there is a negative relationship between them. This study aims to review the academic literature to identify key concepts and themes in the field of income inequality and its relationship to economic growth. Also, the purpose of the article is to identify gaps in this topic for future research. A bibliometric analysis of the literature was carried out using the R-package Biblioshiny tool. The sample includes 1 431 publications from the Scopus database. Articles are analyzed against annual scientific production, most important sources, most relevant organizations, a network of coincidences, and thematic mapping and evolution to understand trends in the body of knowledge about income inequality. As a result of the analysis, the main factors influencing economic growth, and subsequently the growth of income differentiation, were identified. A gap in the reviewed studies is the lack of knowledge of the factors determining the quality of economic growth, which subsequently affect income inequality. This research gap will be the direction of future research.