The aim of this study is to determine whether funds spent on research and development are used efficiently in Association of Southeast Asian Nations (ASEAN) countries. Fifteen countries in the 2000-2016 period have been examined. Measuring the efficiency of research and development spending was performed using the non-parametric Data Envelopment Analysis (DEA) methodology, which allows for the assessment of input–output efficiency. The research includes the following input and output variables: annual public and private spending on innovation, high-technology exports as a percentage of manufactured exports, patent applications to the World Intellectual Property Organisation (WIPO) by priority year for million inhabitants, trademark applications (TA) for million inhabitants and information and communications technology (ICT) exports as a percentage of manufactured exports. Hong Kong and the Philippines are perhaps the most efficient with respect to research and development (R&D) when analysed using the constant return to scale (CRS) approach. However, according to the variable return to scale (VRS) approach, the most efficient ASEAN countries are Hong Kong, Indonesia, Singapore and the Philippines. The study also confirms that increased spending on innovation is resulting in non-proportional effects.
The main goal of this paper is to determine whether R&D funds are used efficiently in African countries. The innovativeness of a country’s economy is nowadays one of the key factors stimulating the economic growth and competitiveness. Becoming more innovative is important in particular for developing countries, whose governments are developing national innovation strategies (NIS) and assuming a steady increase in research and development spending. Efficient innovation policies are creating conditions for enterprise development and the increase of competitiveness of the country. A calculation of R&D spending efficiency for selected African economies for the years 2009-2017 was carried out using Data Envelopment Analysis methodology, which allows the evaluation of input-output efficiency. Public and private spending on R&D as % of GDP was the selected inputs indicator. The model examines three output indicators: the number of patent applications (per million inhabitants), high-technology exports (% of export), and number of technical and scientific journal articles (per million inhabitants). Among the analyzed countries, those on the efficiency frontier regarding the use of CRS methodology are South Africa and Tunisia. According to VRS methodology, the most efficient nations are South Africa, Tunisia, and Madagascar. The performed analysis has not confirmed our hypothesis regarding the non-proportional relation between higher R&D spending and innovation outputs. Considering limited innovation capacities across African countries, it appears to be reasonable to increase R&D expenditures gradually to achieve better results on the path toward innovationdriven growth and development.
Environmental protection policy is a widely discussed issue in scientific works. However, special attention should be also paid to the effectiveness of expenditures on environmental protection, and this is the main goal of this paper. The countries of the European Union were selected for this analysis due to the fact that, in recent years, this region has become an informal world leader with respect to the implementation of policy measures in the field of environmental protection. For that reason, the data envelopment analysis methodology was used, which allows the calculation of input-output efficiency for the years 2005–2015. The analysis shows that, among the 30 analyzed countries, the most effective in environmental protection actions is Finland. The hypothesis that higher environmental protection expenditures does not result in better environmental results has been confirmed. Our analysis confirmed the problem of the deteriorating efficiency of environmental expenditures across the selected European Union Member States, caused by increases in spending. This research may contribute to the discussion on environmental protection policy design and its assessment, as well as environmental policy results measurement.
Humanitarian workers operate in complex environments with various challenges and demanding working conditions. These challenges put aid workers in a range of risks and under the pressure. However, human resources are crucial for success of humanitarian operations in general. At the same time, each humanitarian operation is reliant on logistics and logistics activities are always connected with logistic staff. Understanding what motivates logisticians to join the humanitarian sector is essential information for humanitarian organizations and for recruiters within. Also, knowing which factors influence motivation and job satisfaction of humanitarian logisticians could help the organizations to struggle with the extremely turnover they have to face. Up to this moment, needed skills and the performance of humanitarian logisticians were examined. Also, the motivators of humanitarian workers are covered in previous research. Therefore, the additional aim of this research is to extend the knowledge about the human resources in humanitarian sector as well.
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