This paper assesses the linkage between CO2 emissions and economic growth while taking into account the role of energy consumption, agriculture, and trade openness in India. Using data covering the period between 1965 and 2019, the Bayer and Hanck cointegration and Gradual shift causality tests are applied to assess these economic indicators relationships’. Furthermore, we employed the wavelet coherence test. The advantage of the wavelet coherence test is that it differentiates between short-, medium-, and long-run dynamics over the entire sampling period. To the best of the authors’ understanding, the present paper is the first to apply wavelet analysis to investigate this relationship by incorporating agriculture as a determinant of environmental degradation. The empirical outcomes show that all variables appear to be highly correlated with CO2 emissions with the exemption of trade openness. This is further affirmed by the Gradual shift causality test, which shows that agriculture and energy consumption are crucial determinants of CO2 emissions in India. Accordingly, adequate policy measures are proposed based on these findings.

The present study aims to shed some light on the causal link between the Service Sector Index in the Turkish stock market and economic growth using a wavelet coherence approach. Thus, the present study determines whether the Service Sector Index leads to economic growth in Turkey and/or vice versa. Based on our aim, we use the wavelet coherence approach, which allows us to capture long-run and short-run causal linkages between the Service Sector Index and economic growth in Turkey, since the approach combines both time domain causality and frequency domain causality tests. The findings from wavelet coherence reveal that there is one-way causality running from the Service Sector Index to economic growth in Turkey at different frequencies and different periods between 1997 and 2017.

Using Fourier-based ARDL and Fourier Toda Yamamoto causality methods, this study aims to detect the impact of financial risk on environmental sustainability in Poland while controlling economic growth, primary energy consumption, and renewable energy consumption from 1990Q1 to 2019Q4. The outcomes of the Fourier ADL cointegration test indicate all variables are cointegrated. Additionally, the Fourier ARDL long-form estimates indicate both renewable energy consumption and financial risk contribute to reducing environmental degradation in Poland. However, the Fourier ARDL long-form estimates show that both primary energy consumption and economic growth have detrimental impacts on the economy’s level of environmental degradation. Analysis of causality direction with the Fourier Toda Yamamoto causality test indicates both financial risk and renewable energy consumption for the period had a one direction causal effect on environmental degradation. For policy insight, the government could support environmental policies requiring companies to factor climate-related risks into their supervision and financial stability monitoring. The Polish government requires financial institutions to prioritize climate risk scenarios in stress testing to control catastrophic weather-related losses.

The book chapter describes the concept of environmental values and the factors that lead to contradictions and conflicts in environmental management. It begins with an introduction to environmental planning and management. Environment planning and management is the process of governing and managing the natural environment. In the history of humankind, conflicts over natural resources have always existed in the realm of environmental planning and management. Similarly, contradiction is also one of the most common characteristics of community projects. This book chapter discusses different perspectives on environmentalism and resource management held by individuals and groups. Specifically, the discussion focuses on factors that lead to contradictions and the nature of conflicts that arise in relation to priorities in planning and their associated conflicting objectives. To make this chapter approachable to readers from wider perspectives, it provides comprehensive coverage in concise language with convenient pedagogical features.

Various factors determine and affect economic growth, one of which is exports. Trade theory also states that exports increase the growth of the domestic economy in various ways. For this reason, the effect of exports on economic growth is a long-term area of research. In addition to the studies examining the effect of foreign trade on economic growth in the literature, some studies investigate the effects of economic growth on export capacity. These studies suggest that the export-based economic growth hypothesis is valid when the causality relationship between exports and growth is from exports to growth, and the growth-led export hypothesis is valid when it is from growth to exports. To this end, the primary purpose of this study is to investigate the validity of the new economic model for Turkey in two different periods. In this context, this study comparatively focuses on the 1999:Q1–2013:Q4 and 2014:Q1–2021:Q4 periods to test the validity of the export-led growth hypothesis and the growth-led export hypothesis. According to the analysis results for the 1999:Q1–2013:Q4 periods, only the growth-led export hypothesis is valid, and a 1% increase in the economic growth rate in this period increases exports by 0.42%. Considering the 2014:Q1–2021:Q4 period, the hypotheses of “Economic growth is not the cause of exports and exports are not the cause of economic growth” are rejected, and according to these test results, it was determined that both the export-led growth hypothesis and the growth-led export hypothesis are valid. In the results of this period, a 1% increase in economic growth rate increases exports by 0.38%, and a 1% increase in exports increases economic growth by 1.36%.