• Icon to change language to english
  • Icon to change language to english

INNOVATION IN THE AGRICULTURAL SECTOR

Authors

Keywords
innovation, Europe 2020 Strategy, Horizon 2020 Programme, agricultural sector

Summary
The sustainable development of the European agricultural sector aims to continuously improve the quality of life and well-being of the present and future generations. It is intended to establish a relationship between economic development, environmental protection and social justice.

The purpose of this paper is to study innovation in the economy as a whole and particularly in the agricultural sector in the context of the Europe 2020 Strategy for Smart, Sustainable and Inclusive Growth. It focuses on the following tasks: studying the theory and practice to clarify the specifics and concepts regarding innovation in the economy (including in the agricultural sector); identifying the factors necessitating the introduction of innovation (including in the agricultural sector); covering the European policy in the field of innovation (including in the agricultural sector); proposals and conclusions on the introduction of innovation in the agricultural sector for achieving smart, sustainable and inclusive growth.

The object of the study is innovation in the economy and in particular innovation in the agricultural sector (subject of study).

The research thesis stems from the need to achieve smart, sustainable and inclusive growth by applying innovation in the context of the Europe 2020 Strategy. This makes it necessary to stimulate the development of competitive and sustainable agriculture and forestry, which ‘achieves more with less’ in harmony with the environment.

JEL: O31, O44, Q01, Q16, Q18
Pages: 29
Price: 3 Points

More titles

  • ASSESSMENT OF FACTORS INFLUENCING THE AMOUNT AND MATURITY PROFILE OF BANK CONSUMER LOANS IN BULGARIA

    Over the last two decades there has been a substantial increase in theoretical and practical-applied research into the impact of key determinants on the consumer loans that banks offer. Their profitability and credit risk level depend on the optimum structuring of credit transactions. Of course this statement should not contradict the compliance ...

  • CUSTOMER RESPONSE PREDICTIVE ANALYSIS USING UPLIFT MODELLING

    Traditional customer response models are based on the understanding that marketing campaign effectiveness could be measured by predicting response probabilities of each customer. Such approach seems to be very reasonable and in most cases it gives better results than random targeting. A fundamental problem of response modelling is that it does not ...

  • APPROACHES AND MODELS FOR MEASURING AND MANAGING COMMERCIAL BANKS LIQUIDITY

    The problems related to liquidity management and maintaining optimal levels of liquid assets of banks have become very topical and have stirred the interest of both the regulatory bodies and researchers in the field of banking and the general public. The pertinence of these problems arises from the importance of banks for the economic development ...