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Regional development agencies (RDAs) have recently been established in Turkey as a policy vehicle to support local governments and coordinate stakeholders’ activities. In compliance with the European Union policy guidelines, regional-level planning and policymaking are introduced for the first time in Turkey. Within the new system, tourism is designated as one of the critical development tools and thus the RDAs have become actively involved in tourism planning and development. The purpose of this chapter is to analyze the role of these organizations in the enhancement of tourism in less developed areas, examining the case of Thrace and North Anatolia regions in Turkey, and the activities of these respective agencies.

The aim of the study is to evaluate role of trade war between the United States and China on oil price. For this purpose, global oil price and US trade balance with China are selected as variables. In addition to this issue, monthly data of these variables for the periods between 1990 and 2019 are taken into consideration. In the evaluation process, both Engle–Granger cointegration and Toda–Yamamoto causality analysis are considered. The results of Engle–Granger cointegration analysis indicates that there is a ­relationship between trade war and oil prices. Nevertheless, according to the results of Toda–Yamamoto causality analysis, it is identified that trade war does not cause oil prices. While looking at these results, it is determined that trade war between the United States and China has an influence on the oil price changes. However, it is also understood that it is not the main factor of this volatility. Thus, it is recommended that in order to identify the main indicator of the oil price volatility, some different factors should also be taken into consideration.

The purpose of this study was to determine the local residents’ attitudes of tourism in Kusadasi, Turkey. In addition, the relationship between residents’ attitudes toward tourism and their overall perceived happiness was analyzed.

A correlational, quantitative research technique was used in this study. The data of this study were collected from 383 local residents in Kusadasi, Turkey. Exploratory factor analysis and multiple regression analysis were conducted to analyze the data.

The results of the study indicated that local residents had favorable attitudes toward tourism in terms of its positive economic, cultural and environmental impact. Study results also indicated that negative economic impact of tourism was found to be the least favorable construct associated with residents’ attitudes toward tourism in Kusadasi. In addition, multiple regression analysis indicated that local residents’ perceived overall happiness was significantly influenced by positive and negative cultural and environmental impact and positive economic impact factors.

The findings of the study provide valuable information to tourism planners and decision makers seeking to build a resident friendly tourism destination in Kusadasi, Turkey.

Adapting to external and internal transformations is a difficult task that managers and scholars must face while attempting to keep their organisations alive and well-established. This chapter explores the various decision-making tools that can assist practitioners and scholars to improve their understanding of the external scenario to determine the contemporary appropriateness of these approaches for analysing the environment and their implications for various types of organisations. The chapter investigates the barriers and drivers of these methods and proposes existing alternative paradigms created by academics and practitioners to analyse and comprehend the context. It demonstrates how these decision-making tools can be implemented by providing examples and case studies.

In today's globalising conditions, tourism is marketed as a combined product because the demand for tourism increases as the product differs. It is very difficult for tourism destinations, which emerge as a result of the combination of attractiveness, accessibility, tourism businesses, activity and image elements, to survive because tourism destination stakeholders have different goals and objectives. Therefore, there is a need for an effective destination management in which management functions (planning, organising, coordination, commanding (leading) and control) will be employed. Together with the destination management, stakeholders with different goals and objectives are expected to operate in line with a common goal. The clustering of tourism businesses, one of the stakeholders of the tourism destination, plays a very important role in the emergence of destination management. In addition, this situation causes businesses to act not only in line with their own interests but also in the interests of the destination. While avoiding activities that would endanger the existence of the destination with the unions they establish, they cause local administrations and fund managers to act in line with the infrastructure, superstructure and development opportunities needed. In addition to this, while ensuring the use and protection of social capital in that region, it also enables the development of intellectual capital. On the other hand, it causes the opening of new main and auxiliary enterprises and plays an active role in increasing the welfare level of the region. Therefore, clustering is very important in successful destination management.

The European states, which started the industrial revolution by making use of mechanical power, provided their agricultural development by producing new technology tools that will increase the production in the agricultural sector. The Ottoman Empire made many attempts to increase agricultural sector in the nineteenth century and implemented policies to increase production. In this direction, primitive agricultural tools were changed, and many encouraging steps were taken to adopt and spread modern technology in the country. As a result of the policies made, since the second half of the nineteenth century, the use of modern technology has increased in the provinces such as İzmir, Edirne and Adana and then in Konya and Ankara, since the railways reached the interior. Increasing accessibility to international markets with the development of commercial agriculture and railway construction are also important factors that encourage the use of machinery. When the use of machinery increased in the twentieth century, many machine companies opened dealers in the country and attempted to reach the inner parts of the country. With the increase in the use of modern agricultural technology, agricultural production has increased and provided significant benefits to the labor problem, especially in regions where commercial agriculture has developed. The effect of modern technology on the increase in production can be seen in the agricultural numbers in 1909–1914. When the agricultural census is taken into consideration, although the production areas did not increase, the production amount increased. However, the contribution of modern agricultural technology to production was still somewhat limited. The reason for this is that due to the high prices of agricultural machinery, small farm owners cannot supply these machines.

There have been increasing numbers of studies on the role of energy and environmental pollution upon income of the economies across the countries after the development of the endogenous growth literature. As standard practice, the factors which make explanations of why the developed countries are growing more compared to the common list of developing countries are the knowledge capital, role of institutions, etc. But, the roles of energy use and environmental resources upon economic growth have also been identified as additional source of endogenous growth. Sometimes, in certain economies, it is observed that both the factors maintain bidirectional causal relations with the level and growth of income. The present chapter aims to investigate whether energy use and environmental pollution make a cause to the level of income measured by gross domestic product, in both the long run and short run, for the world's highly developing group of economies in the nomenclature of BRICS. The period of study is taken to be 1990–2016 for which the data on all the indicators are available for the five member countries of the group. Using a VAR model, the study arrives at the conclusion that all the three are cointegrated for Brazil and Russia only. Further, there are short-run causal interplays among the three in different combinations across the member countries. While GDP and energy use are the common cause of CO2 emission for Brazil, India, and China; energy use and CO2 emissions are to GDP in India, South Africa, and China.