The Dutch disease phenomenon refers to the adverse effects of the supply of natural resources and production in the tradable sectors specifically the manufacturing sector. Corden and Neary (1982) and Corden (1984) developed the core model of the Dutch disease that it explains a large amount of foreign money to inside the country will appreciate real exchange rate and cause both the spending and reallocation of resources between non-tradable and tradable sectors that it will lead the country to de-industrialisation The Dutch disease is generally related to the export of natural resources; however, it can be caused by any factors that increase the flow of foreign currency into a country. According to Copelend (1991), the tourism sector is one of the most important sectors that can be the cause of the Dutch disease. Holzner (2010) called the effect of the Dutch disease on tourism-dependent countries the “Beach Disease”. The aim of this study is to investigate whether the growing tourism sector in Turkey has caused resource movement and a spending effect that have led the Turkish economy to experience the Dutch disease. The Turkish economy is one of the emerging markets that in the past few decades has experienced noticeable growth in the tourism sector, to the extent that, according to the World Travel and Tourism Council (WTTC, 2017), travel and tourism’s contribution to GDP in Turkey was 12.5% in 2016. By using several methods, such as non-linear and linear ARDL bounds tests and structural VAR, this study aims to investigate whether the Turkish economy experienced Beach Disease over the period from 1976 to 2017. Empirical evidence demonstrates that due to the growth of the tourism sector, the Turkish economy is suffering from symptoms of Beach Disease, such as de-industrialisation and resource allocation to non-tradable sectors. The results show that the Turkish economy has suffered from the Dutch disease due to a growing tourism sector, which has led to de-industrialisation and unstable long-term growth.

The emission of air pollutants from energy production and consumption is a major cause of environmental problems. In addition, urbanisation and CO2 emissions have become major environmental concerns that are closely related to climate change and sustainable economic growth. The purpose of this paper is to investigate the long-run relationship among CO2 emissions, energy consumption, economic activities, and management issues for Turkey for the period between 1980 and 2021. The STIRPAT hypothesis and the environmental Kuznets curve (EKC) hypothesis were employed by using dynamic conditional correlation (DCC) and ARDL bound methodologies for these goals. The findings indicate that there is a long-run relationship between variables of the STIRPAT model. The coefficient of economic expansion and energy consumption affected CO2 emissions positively, which means that energy consumption and the expansion of economic activity have significant effects on environmental degradation. Those results are also confirmed by the environmental Kuznets curve (EKC) model. In addition, the N-shaped environmental Kuznets curve (EKC) is developed for Turkey. The DCC model also shows that economic growth increases CO2 emissions significantly, and energy productivity can be considered for decreasing CO2 emissions.

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In this paper, we examine the short and long run dynamic relationship between inflation (consumer price index) and the price of gold in Turkey by using monthly data over the period of 2008m10-2021m04. The finding shows there is no long run and cointegration between consumer price index and the price of gold in Turkey. However, the results demonstrate that CPI does Granger cause of gold but gold dose not Granger cause of CPI. Those results are also confirmed by results of short-run of S-model and the long-run properties of the accumulated impulse responses of structural VAR (SVAR) model that there is not long run interaction between gold and inflation.