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The purpose of this paper is to reveal the dynamics of the Greek energy sector. As energy sectors contribute substantially to a national economy and stimulate national output and employment, it is important to identify their upward and downward linkages and interrelations with the other sectors of the economy.

To do this and capture such relations in the economy, a general equilibrium model is used. In specific, input–output (I–O) analysis is used and a model is specifically built for the Greek economy to examine in detail the energy sectors. Multiplier and linkage analysis is performed to assess their dynamics in terms of output, household income and employment.

Results indicate that the three energy sectors’ multipliers and elasticities, though are not ranking in the first places, are enough high indicating their strong linkages in the economy and their potentials to enhance the economy’s total output, employment and household income.

Further disaggregation of the economy’s energy sectors is needed to make clearer the separation among renewable and non-renewable sector, to identify and compare the dynamics and contribution of each category in the economy. Additionally, an environmental I–O model would indicate consequences on the environment and not just pure economic benefits.

Through the analysis, it can be seen that energy sectors and secondary energy products have the ability to drive a country’s economic activity through exports and intersectoral linkages, even if it is not a crude petroleum producing economy. Thus, knowledge of the economic impacts of such sectors is a valuable information.

The current study provides significant information of an economy’s energy sectors regarding their ability to support economic activity and employment. A general equilibrium model is used, examining the whole economy, to assess direct and indirect interrelationships.

The purpose of this paper is to explain the impact of locus of control (LOC) and motivations on entrepreneurial intentions (EIs) among agri-entrepreneurs in the region of Western Greece.

The study was conducted in 2019 in the Western Greece region. Primary data were collected through a survey. A researcher-administered questionnaire was the data collection instrument while the individual farmer was the unit of analysis. Many data analysis methods were applied: a validity and reliability test, exploratory factor analysis, regression analysis, Kruskal–Wallis test and correlations.

The results show that the proposed model explains almost 33% of the variance for the EI. Internal LOC and pull motivations have a positive relationship with the intention of entrepreneurship. EI in the agricultural sector is more dependent on LOC, motivations, age and level of education than gender and type of holding.

The findings of this study provide several theoretical and practical contributions, which can be useful for other researchers.

This research study adds to the existing literature of the EI by using a different type of sample compared to previous contributions. Mostly EI studies used student sample to measure intentions. The present study extends the antecedents of intention by using a sample of existing agri-entrepreneurs. Farmers are one of the best potential segments, and as a result, this research will help predicting how the intention process of existing entrepreneurs works, especially in the primary sector.

This study aims to assess the factors influencing the adoption of circular bioeconomy practices by crop farmers.

Data collected from 303 farmers in the region of Western Macedonia (WM) were used to identify the adoption factors of the circular bioeconomy. Principal component analysis (PCA) and exploratory factor analysis (EFA) techniques were applied through a custom-designed and specially structured questionnaire.

The results reveal four main motivations that lead farmers to adopt circular bioeconomy practices in their farming activities: interest in physical-economic resources and factors related to production and consumption; technology and renewable energy and the environment.

This study is based solely on farmers in WM. Furthermore, this study assumes that there will be a strategy to promote a circular bioeconomy under the auspices of the government.

Few studies have focused on the perspectives of crop farmers and what encourages them to adopt circular bioeconomy practices in their crops. Existing barriers are related to economic incentives and constraints. The more circular bioeconomy practices farmers adopt, the greater the positive impact on the environment and rural development, and the factors influencing the adoption of these practices are investigated here.

Over the last years, food safety, health, environmental and societal issues are a few among many other reasons that force people to adopt new differentiated food products. This interesting shift of the consumption pattern from conventional food products to new differentiated products that incorporate innovative features, consist the main reasoning of the present study. The purpose of this paper is to investigate the drivers that influence the adoption of those differentiated food products and shed new light on consumer's behavior, by modeling and understanding better their attitude.

A two‐step cluster analysis was employed to explore the different levels of differentiated products adoption and a categorical regression model was estimated to explain this variation. Data were collected through a survey addressing 500 consumers, carried out in 2009 in a typical Greek urban area.

From the three different food product categories (organic, functional and genetically modified) four consumers' profiles were identified which were found to differ in terms of several socioeconomic characteristics. The increased level of disposable income, along with exposure to innovative food products, may well explain such a differential food product adoption.

Due to the small sample, the indefinable number of food products adopters (population) and to specific characteristics of the study area consumers, the results might face generalisability deficiencies.

From a practical point of view, to identify the reasons driving consumers to adopt or not new differentiated products with novelties is important generally for society, policy makers, food‐producing companies and related economic sectors.

The contribution of this research is in having examined, the adoption drivers of differentiated food product categories, for which there has been longstanding interest. The food product categories are examined comparatively as a group (organic, functional and genetically modified) and not individually.