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An interest in social transmission as a source of welfare and income inequality in a society has re-emerged recently with new vigour in leading economic research (see Piketty, 2014). This paper presents a mixed Bourdieu-Mincer (B-M) type micro-economic model which provides a testable mechanism for culturally biased socio-economic inter-generational transmission. In particular, the operationalisation of this mixed B-M type model seeks to find evidence for individual and local cultural capital effects on the economic achievements, in addition to the human capital effect, for both migrants and locals in the Netherlands. The purpose of this paper is to examine two sources of wage differential in the local labour market, namely: individual cultural capital (approximated by immigrant background), which affects schooling results; and the local cultural capital (approximated with the cultural milieu), which directly biases the selection of employees.

The study utilises the 2007-2009 data set for higher professional education (in Dutch termed HBO) graduates registered in the Maastricht database. The Mincer-type equation is augmented with a control variable for the local cultural milieu. The authors cope with this model empirically by means of 2SLS and 3SLS methods.

The authors find convincing evidence for the existence of both an individual cultural capital and a local cultural capital effect on schooling and wage differentials. This can be interpreted as a migrant background effect leading to a disadvantaged position on the labour market due to less frequently attending high-quality secondary schools.

More importantly, the authors find evidence for a classical Myrdalian effect of self-fulfilling prophecy, in which graduates with second-generation migrant background have a disadvantaged position due to access only to poorer quality of schooling.

Empirical studies regarding the impact of the real exchange rate (RER) on economic growth are extensively available. However, the literature as a whole appears to report varying results, while the causes of such differences have not been analyzed systematically. The present study aims to fill the gap in the literature.

In this paper, the authors compile 543 empirical estimates from 51 studies of the exchange rate-growth nexus in order to meta-analyze its relationship. Meta-analysis allows the authors to quantitatively synthesize previous empirical studies and explain the variation in the results. This method also enables us to investigate the possibility of publication bias, as there is a tendency in research only to report results that are both statistically significant and show the expected signs.

After addressing publication bias and heterogeneity in the estimates, the meta-regression results show that RER depreciation (or undervaluation) genuinely favors economic growth. On average, RER depreciation has a greater impact on economic growth in developing countries than the developed ones. The study’s results imply that maintaining an undervalued RER could be favorable to spur economic growth, especially in developing countries.

Initially predominant in the medical literature, meta-analysis has been on a rising edge in economics. This progress has produced many systematic quantitative review analyses with continuously improved statistical-econometric practices related to economic variables. However, to the authors’ knowledge, no comprehensive meta-regression analysis of the relationship between exchange rate and economic growth has been conducted and published in any publicly accessible academic outlet. Therefore, this study aims to fill this gap in the literature.

The issue of a balanced development of our earth has been an intriguing research and policy question for several decades. The environmental problems emerging in the 1960s and 1970s have made us aware of antagonistic forces in the evolution of our socio‐economic and environmental system. The dramatic changes — demographic, economic, social and technological — in the post‐war period were not only purely quantitative in nature, but meant also a qualitative change in the structure of this system.

This study attempts to formulate a conceptual and operational model that encapsulates the highlights of scientific sustainability research and that identifies the critical success factors of sustainable development from the perspective of different stakeholder groups. It seeks to identify viable consensus pathways in sustainable development strategies that are marked by conflicts among different stakeholders. To do so, this study focuses on three case studies that are part of the EU project SMILE, its way of sustainability thinking, and its stakeholders to encapsulate different sustainability approaches and different needs for sustainable development. To identify critical success/failure factors in the search for sustainable development at the interface of economic, environmental, and social factors, we use interview results, first, to compose case study–specific pentagon models. These models offer a systematic framework for sustainability and, in general, distinguish between five key forces, that is, software (e.g., knowledge), hardware (e.g., research facilities), finware (e.g., financial support), ecoware (e.g., environmental amenities), and orgware (e.g., institutional support systems). In a second step, we use both the questionnaire results and a multi-criteria spider approach to quantify the relative importance of the pentagon factors for each stakeholder group. This way we are able to develop stakeholder-specific pentagon models. Although there are many applications of the basic pentagon model in the sustainability literature, our attempt can be seen as the first one that combines cases at different time and spatial scales to generalize the interfaces between scientific research and policy arenas.

This paper offers an overview of factors that are decisive for productivity increase in the agricultural sector (both farming and agro‐food). An attempt is made to explain differences in total factor productivity in agriculture in different countries by means of meta‐analysis, in particular, by using rough set theory as a framework for comparative study. The main aim is to derive the drivers of changes in agricultural food production with a view to conditional future predictions of an “if … then” nature. The empirical application to OECD countries is used to illustrate the potential of this new approach for identifying critical success factors in agriculture with a view to future food security objectives.