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Emre Akusta

Publications and source records attributed to Emre Akusta.

14 recordsLinked to original sources

Sectoral contributions to sustainable development in Turkiye: Which sector is more effective?

Enhancing sustainable development performance requires an assessment of the relative roles of economic sectors in this process. However, comparative empirical evidence regarding the sectoral structure of sustainable development is limited, particularly for Turkiye. Therefore, this study examines the long-run relationship between sectoral structure and sustainable development in Turkiye by focusing on agriculture, industry, construction, and services. The empirical analysis uses annual data for the period 2000-2022 and proceeds in three steps. First, the stationarity properties of the variables are examined using ADF, PP, and Zivot-Andrews unit root tests. The Johansen cointegration test is then applied to determine whether a long-run equilibrium relationship exists among the variables. Finally, long-run coefficients are estimated using the DOLS estimator, while the FMOLS estimator is used as a robustness check. The findings show that all sectoral shares are positively associated with the sustainable development index in the long run. Based on the DOLS results, the services sector has the highest coefficient at 0.882, followed by the agriculture, industry, and construction sectors with coefficients of 0.302, 0.265, and 0.193, respectively. The FMOLS robustness check supports the DOLS long-run estimates. The study contributes to the literature by providing comparative sector-level evidence for Turkiye. It also highlights that sustainable development strategies should not rely on a single sector, but should be designed through balanced and sector-specific policies that account for sectoral differences.

econ.GN

Unveiling the Nexus Between Economic Complexity and Environmental Sustainability: Evidence from BRICS-T Countries

This study analyses the impacts of economic complexity on environmental performance in BRICS-T countries. Annual data for the period 1999-2021, Durbin-Hausman cointegration test and Augmented Mean Group (AMG) estimator are used in the analysis. The robustness of the Panel AMG results is tested with CCEMG and CS-ARDL methods. The results indicate that economic complexity has a positive impact on environmental performance. An increase of 1% in the economic complexity index increases environmental performance in BRICS-T countries between 0.020% and 1.243%. However, economic growth, energy intensity and population density were found to have a negative impact on environmental performance. Renewable energy use, in contrast, contributes positively to environmental performance.

econ.GN

Investigating the Impacts of Exchange Rate and Inflation on Exports: A Double Threat or Opportunity for Turkiye?

This study analyzes the impacts of exchange rate and inflation on exports in Turkiye. Annual data for the period 1995-2023 were used in the analysis. The Johansen cointegration analysis and Dynamic Least Squares (DOLS) method were employed in the study. Identifying the cointegration relationship enabled the estimation of the long-run coefficients. The results show that an increase in the real effective exchange rate (appreciation of the Turkish lira) and inflation reduce exports with coefficients of -0.185 and -0.125, respectively. Foreign direct investment and imports, added to the study as control variables, have a positive impact on exports with coefficients of 0.117 and 0.849, respectively. These findings indicate that exchange rate stability and inflation control are priorities for improving foreign trade performance. Furthermore, policies that increase foreign direct investment and strategically manage imports complement this process.

econ.GN

Can Renewable Energy Mitigate Inflationary Pressures from Energy Imports? Evidence from Turkiye

This study analyses the potential of renewable energy to reduce inflationary pressures arising from energy imports in Turkiye. Annual data for the period 1980-2022 are used in the analysis. In this study, unit root properties are examined using the Zivot-Andrews and Lee-Strazicich tests, both of which explicitly account for structural breaks. Cointegration is investigated via the Johansen and Hatemi-J cointegration tests. Long-run coefficients are subsequently estimated using the DOLS and FMOLS estimators. The robustness of the empirical findings is further assessed using the ARDL approach. In addition, an interaction term is constructed to measure the impact of renewable energy in alleviating inflationary pressures arising from energy imports. The results show that energy imports and exchange rate have an increasing impact on inflation, while renewable energy and the interaction term have a decreasing impact. DOLS, FMOLS, and ARDL results support each other. Moreover, in both models, the impact of renewable energy in mitigating inflationary pressures stemming from energy imports is stronger than the direct disinflationary impact of renewable energy.

econ.GN

The Impact of Natural Disasters on Food Security in Turkiye

Food security refers to people's access to enough safe nutritious food in order to be able to lead a healthy active life. It also involves elements such as food availability and affordability, as well as people being able to access food that can be consumed healthily. Natural disasters, however, can seriously threaten food security. Disasters' effects on food security are especially more evident in countries such as Turkiye that are frequently exposed to natural disasters due to their geologic and geographical structure. For this reason, the study investigates the effects of natural disasters on food security in Turkiye. The research first creates the Food Security Index in order to estimate the effects of natural disasters on food security. The next phase follows the process of econometric analysis, which consists of three steps. Step one of the econometric analysis uses unit root tests to check the stationarity levels of the series. The second step uses the autoregressive distributed lag (ARDL) bounds test to examine the long-term relationship between natural disasters and food security. The third and final step estimates the effects of natural disasters on food security. According to the obtained results, the study shows earthquakes, storms, and floods to have a significant short- as well as long-term negative effect on food security. The overall impact of natural disasters on food security has also been determined to be negative.

econ.GN

Assessment and Prioritization of Renewable Energy Alternatives to Achieve Sustainable Development Goals in Turkiye: Based on Fuzzy AHP Approach

The aim of this study is to prioritize renewable energy sources to achieve sustainable development in Turkiye by using fuzzy AHP method. In our study, we used 30 criteria that affect the investment in renewable energy sources. We also calculated the weights of these criteria in investment decisions. In addition, we analyzed the advantageous renewable energy sources according to each criterion. Thus, it was determined which renewable energy source is advantageous according to which criteria. The results show that the most important main criteria for renewable energy investments in Turkiye are economic, political, technical, environmental and social criteria, respectively. The most appropriate renewable energy sources according to economic, political, technical and social criteria are solar, wind, hydroelectric,

econ.GN

Does Military Expenditure Impede Sustainable Development? Empirical Evidence from NATO Countries

This study analyzes the impact of military expenditures on sustainable development in NATO countries. The analysis utilizes annual data for the period between 1995 and 2019. In this study, the Durbin-Hausman panel cointegration test is used to analyze the cointegration relationship between the variables and the Panel AMG estimator is used to estimate the long-run coefficients. The results of the AMG estimator show that military expenditures and industrial production index have a negative effect on sustainable development in NATO countries, while foreign direct investments have a positive effect. The impact of primary energy consumption is negative and less significant than the other negative impacts. The study also analyzes how the impact of military expenditures on sustainable development varies across countries. This analysis reveals the significant differences in the direction, significance, and coefficient size of the relationship among different countries. These findings suggest that the impact of military expenditures on sustainable development varies across countries. Therefore, countries should develop policies to ensure sustainable development by considering their specific dynamics.

econ.GN

Analysis of Provincial Export Performance in Turkiye: A Spectral Clustering Approach

This study analyzes and clusters Turkiye's 81 provinces based on their export performance. The study uses import, export and net export data for 2023. In addition, exchange rate-adjusted versions of the data were also included to eliminate the effects of exchange rate fluctuations. Spectral clustering method is used to group the export performance of cities. The optimum number of clusters was determined by the Eigen-Gap method. The Silhouette coefficient method was used to evaluate the clustering performance. As a result of the analysis, it was determined that the data set was optimally separated into 3 clusters. Spectral-clustering analysis based on export performance showed that 42% of the provinces are in the "Low", 33% in the "Medium" and 25% in the "High" export performance category. In terms of import performance, 44%, 33%, 33%, and 22% of the provinces are in the "Medium", "High", and "Low" categories, respectively. In terms of net exports, 38, 35% and 27% of the provinces are in the "Low", "Medium" and "High" net export performance categories, respectively. Izmir has the highest net export performance, while Istanbul has the lowest.

econ.GN

Can Renewable Energy Sources Alleviate the Pressure of Military Expenditures on the Environment? Empirical Evidence from Turkiye

This study analyzes the potential of renewable energy sources to reduce the environmental impact of military expenditures in Turkiye. ARDL method is preferred in the analysis using annual data for the period 1990-2021. In addition, an interaction term is added to the model to determine the effectiveness of renewable energy sources. The results show that military expenditures have a positive impact on CO2 emissions in the short and long run with coefficients of 0.260 and 0.196, respectively. Moreover, renewable energy use has a statistically significant negative impact on CO2 emissions in the short and long run with coefficients of -0.119 and -0.120, respectively. GDP has a positive impact on CO2 emissions in the short and long run with coefficients of 0.162 and 0.193, respectively. Although population growth does not have a statistically significant impact in the short run, it is found to increase CO2 emissions in the long run with a coefficient of 0.095. Moreover, the interaction term shows that renewable energy use reduces the environmental impact of military expenditures in Turkiye in the short and long run with coefficients of -0.130 and -0.140, respectively. The results indicate that renewable energy use can play an important role in mitigating the environmental impacts of military expenditures.

econ.GN

Is Jobless Growth Valid in Turkiye? A Sectoral Analysis of the Relationship between Unemployment and Economic Growth

This study analyzes the validity of jobless growth in Turkiye on sectoral basis. It analyzes the impacts of agriculture, industry, construction and services sectors on unemployment using annual data for the period 2000-2022. ARDL method is applied within the scope of the analysis. The findings are tested with FMOLS and CCR methods. The results show that growth in all sectors reduces the unemployment. A one-unit increase in the share of agriculture sector in GDP decreases the unemployment rate by 0.471 points, 0.680 points in the industrial sector, 0.899 points in the construction sector and 1.383 points in the services sector in the short-run. The long-run coefficients reveal that the impacts of sectoral growth on unemployment are stronger in the long-run than in the short-run. A one unit increase in the share of the agricultural sector in GDP decreases the unemployment rate by 2.380 points, 4.057 points in the industrial sector, 1.761 points in the construction sector and 3.664 points in the services sector in the long-run. These findings show that jobless growth is not valid in Turkiye in general. On the contrary, economic growth plays an important role in reducing unemployment.

econ.GN

Does Globalization Promote or Hinder Sustainable Development? Evidence from Turkiye on the Three Dimensions of Globalization

This study analyzes the impact of globalization on sustainable development in Turkiye. We used the ARDL method with annual data for the period 2000-2021. Results reveal that economic globalization promotes positively to sustainable development in the short run with a coefficient of 0.144 and in the long run with a 0.153 coefficient. Although social globalization has a negative impact with a coefficient of -0.150 in the short run, this effect turns positive with a coefficient of 0.080 in the long run. Political globalization strongly supports sustainable development with a coefficient of 0.254 in the short run and 2.634 in the long run. Finally, total globalization has a positive impact on sustainable development in the short and long run with coefficients of 0.339 and 0.196, respectively.

econ.GN

Measuring and Rating Socioeconomic Disparities among Provinces: A Case of Turkiye

Regional disparities in the economic and social structures of countries have a great impact on their development levels. In geographically, culturally and economically diverse countries like Turkiye, determining the socioeconomic status of the provinces and regional differences is an important step for planning and implementing effective policies. Therefore, this study aims to determine the socioeconomic disparities of the provinces in Turkiye. For this purpose, a socioeconomic development index covering the economic and social dimensions of 81 provinces was constructed. For the index, 16 different indicators representing economic and social factors were used. These indicators were converted into indices using the Min-Max normalization method and Principal Component Analysis. Afterwards, using these indices, the provinces were divided into groups using the K-Means clustering algorithm and the Elbow method. In the last part of the study, the results are presented in a visual format using Scatter Plots, clustering maps and QGIS mapping tools. The results of the study show that 2 of the 81 provinces in Turkiye have very high, 30 high, 25 medium and 24 low socioeconomic indices. Istanbul and Ankara have very high socioeconomic status. In general, the provinces in western Turkiye have a high socioeconomic index, while the provinces in eastern and southeastern Anatolia face serious challenges in terms of socioeconomic indicators.

econ.GN

Exploring the Impacts of Economic Growth on Ecosystem and Its Subcomponents in Turkiye

This study analyzes the impacts of economic growth on ecosystem in Turkiye. The study uses annual data for the period 1995-2021 and the ARDL method. The study utilizes the Ecosystem Vitality Index, a sub-dimension of the Environmental Performance Index. In addition, seven models were constructed to assess in detail the impact of economic growth on different dimensions of the ecosystem. The results show that economic growth has a significant impact in all models analyzed. However, the direction of this impact differs across ecosystem components. Economic growth is found to have a positive impact on agriculture and water resources. In these models, a 1% increase in GDP increases the agriculture and water resources indices by 0.074-0.672%. In contrast, economic growth has a negative impact on biodiversity and habitat, ecosystem services, fisheries, acid rain and total ecosystem vitality. In these models, a 1% increase in GDP reduces the indices of biodiversity and habitat, ecosystem services, fisheries, acid rain and total ecosystem vitality by 0.101-2.144%. The results suggest that the environmental costs of economic growth processes need to be considered. Environmentally friendly policies should be combined with sustainable development strategies to reduce the negative impacts of economic growth.

econ.GN

Comparative Analysis of OECD Countries Based on Energy Trilemma Index: A Clustering Approach

This study analyzes OECD countries in the context of the energy trilemma index and clusters countries with similar characteristics. In the study, the k-means clustering technique is used. The optimum number of clusters was determined using the Elbow method in combination with the Silhouette Index. Moreover, all results are visualized to enhance comprehensibility. The results show that countries such as Austria, Canada, Finland, and Denmark are in the high energy trilemma group with index scores of 82.2, 82.3, 82.7, and 83.3, respectively. Countries in the high group have achieved a high level of balance between energy security, energy equity, and environmental sustainability. In addition, countries such as Belgium, Hungary, Australia, the Czech Republic, and Estonia are in the medium energy trilemma group with index scores of 76.4, 76.6, 77.1, 77.6, and 78.7, respectively. Countries in the medium group have made progress in balancing the dimensions of the energy trilemma but have not yet reached excellence. However, countries such as Mexico, T\"urkiye, Colombia, and Costa Rica are in the low energy trilemma group with index scores of 63.1, 64.1, 64.8, and 69.3, respectively. These low energy trilemma group countries face significant challenges in balancing energy security, energy equity, and environmental sustainability and need to make improvements in these areas.

econ.GN