This study focuses on the relation of four different financial development indicators and export performance, sampled from nine member states of the Commonwealth of Independent States, with economic growth for the period of 1995–2020. Its long-run relationship with PVAR analysis has been presented through VECM. The FMOLS and DOLS methods are used for the long-term coefficient estimates. According to the findings, there is a cointegration relationship between economic growth and export, and broad money, domestic credit to the private sector by banks, and monetary sector credit to private sector variables. The findings indicate that both financial development and export have a positive impact on economic growth. On the other hand, the findings have not presented sufficient evidence about the influence of the gross capital formation variable on economic growth while the monetary sector credit to private sector variable has been found to negatively affect economic growth. When the results of FMOLS and DOLS models are assessed together, it is concluded that export and financial development affects economic growth positively in the long term, but the first one’s effect is less.

This study explores the relationship between energy usage, per capita income, and ecological footprint as an assessment for ecological deterioration in the MINT (Mexico, Indonesia, Nigeria, Turkey) countries for the 1976–2016 period. This work estimates the long-term correlation between variables using a vector error correction model through panel vector autoregression analysis. By incorporating endogenous interactions between the variables in the system, the VAR approach addresses the endogeneity problem. Also, the impulse response functions and the effects of variables on certain lags are evaluated. Then, the cointegration between variables has been estimated with dynamic and fully modified ordinary least squares panel analysis to assess the long-term relationship further. After the examinations, a satisfactory Granger causality result of the short-term variables could not be achieved. However, the same cannot be said for long-run causality. In the impulse-response functions, the interactions of the variables on each other are evaluated. Only the increase in energy consumption, whose coefficient is statistically significant and coherent, increases the flexibility of the ecological footprint.

Bu çalışmanın amacı Türkiye’de ekonomik resesyonlar ile boşanma oranları arasındaki kısa ve uzun dönemli ilişkileri analiz etmektir. Uzun dönemli ilişkiyi analiz etmek için Maki eşbütünleşme testi, kısa dönemli ilişkiyi analiz etmek için asimetrik ve zamanla değişen asimetrik nedensellik testleri kullanılmıştır. Modelin bağımlı değişkeni, boşanma oranıdır. Kadınların işgücüne katılım oranı, toplam işsizlik oranı, kişi başına düşen GSYİH, yasal düzenlemeler ve ekonomik krizler bağımsız değişkenlerdir. Tahmin sonuçlarına göre kadınların işgücüne katılım oranları, işsizlik oranları, ulusal gelir, yasal düzenlemeler ve ekonomik krizler boşanma oranlarını pozitif etkilemektedir. Zamanla değişen asimetrik nedensellik testi sonuçlarına göre pozitif gelir ve işsizlik şokları arasında geçici bir nedensellik ilişkisi bulunmaktadır. This study analyses the relationship between short- and long-term relationships between divorce rates and economic recession in Turkey. The asymmetric and time-varying asymmetric causality tests are used to analyse the short-term relationship, the Maki cointegration test is used to analyse the long-term relationship. The dependent variable of the model is the divorce rate. Labour force participation rate of women, unemployment rate, GDP per capita, legal regulations, and economic crises are independent variables. According to the estimation results, unemployment, national income, legal regulations, and economic crises positively affect divorce rates. The time-varying asymmetric causality test results also indicate a temporary causality relationship between positive income and unemployment shocks.

This study explores the relationship between renewable and non-renewable energy consumption, economic growth (EG), and ecological footprint (EF) in Poland’s top 18 energy-importing countries from 2000 to 2022. While the energy-growth-environment nexus is well-studied, limited attention has been paid to how a single major energy-exporting country influences sustainability in its trade partners, a gap this study aims to fill. A panel dataset was constructed using five key variables: real GDP per capita, Poland’s fuel exports, ecological footprint per capita, renewable energy consumption, and primary energy consumption per capita. Methodologically, the study employs panel cointegration techniques, including FMOL and DOLS estimators for long-run analysis, as well as the VECM and Granger causality tests for the short run. The study’s main contribution lies in its novel focus on Poland’s export influence and the application of advanced econometric models to examine long-run and short-run effects. Results indicate a stable long-run cointegration relationship. Specifically, a 1% increase in renewable energy use is associated with a 0.0219% rise in GDP per capita. Additionally, Poland’s fuel exports and ecological footprint positively impact growth, whereas primary energy use is statistically insignificant. These findings offer practical implications for policymakers in Poland and its trading partners aiming to align energy trade with sustainability goals.

South Asia faces the dual challenge of sustaining rapid economic growth while managing severe ecological pressures. This study explores the relationship between Ecological Footprint (EF), Financial Development (FD), Economic Growth (GDP), Foreign Direct Investment (FDI), and Political Stability (PS) in SAARC countries from 2000 to 2020. Using a Panel Vector Autoregression (PVAR) combined with a Vector Error Correction Model (VECM), the analysis captures both short-run dynamics and long-run equilibrium relationships, addressing endogeneity among variables. Results reveal that EF negatively correlates with FD, GDP, and FDI, while showing a positive association with PS. Cointegration tests using dynamic and fully modified ordinary least squares confirm long-term relationships between the variables. Impulse response functions illustrate how shocks to one variable affect others over time, highlighting complex interactions. Granger causality tests suggest limited short-term causal links, reflecting the multifaceted nature of these relationships. This research is particularly relevant as SAARC countries face the dual challenge of sustaining rapid economic growth while mitigating ecological pressures. The study advances the literature by explicitly integrating political stability into the environmental–economic nexus, a factor often overlooked in earlier regional analyses. By providing empirical evidence on the joint role of economic, financial, and political drivers of ecological sustainability, the paper contributes both to academic debate and to the design of more balanced policy frameworks for sustainable development in South Asia.