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Tourism contributes approximately one‐fifth to total global employment. However, growth in tourism can promote an increase in transportation, energy consumption, natural resource exploration, and consequential ecological distortions. This study applies a battery of second‐generation econometric techniques to investigate the influence of tourism development and natural resource on a comprehensive environmental indicator; the ecological footprint (EF), in the ten most visited destinations. The findings show that tourism receipts have an increasing effect on EF, while tourism arrivals have a reducing effect on EF. The country‐wise results reveal that tourism receipts increase the EF in China, Italy, Spain, and the UK, while the reverse holds true for France, Germany, Thailand, Turkey, Mexico, and the US. The influence of natural resource on the EF is mixed. Natural resource increases the EF in China, France, Germany, Spain, and the UK. A feedback causality exists among EF, natural resource, and tourism development. Policy directions are discussed. [ABSTRACT FROM AUTHOR]

In recent decades, information and communication technology (ICT) has revolutionized the world affecting every aspect of life, including education, business, social activities, and environment. Consequently, the studies linking ICT and environmental sustainability are growing owing to its positive and adverse effects on environmental sustainability, and the noticeable disagreement in literature. Therefore, current work examines the criticality of ICT, human capital (education and return on education), and globalization in environmental sustainability, controlling urbanization and economic growth in the Latin American and Caribbean (LCA) region, where economic growth and globalization have substantially increased over the past three decades. Reliable panel econometric techniques, including second-generation unit root tests, Westerlund (2007, 2008) cointegration tests, and continuously-updated fully modified (CUP-BC) and continuously-updated bias-corrected (CUP-FM) long-run estimators are employed on the data for the period 1995–2017. The empirical estimations unfold that ICT (computed by a four components ICT index) and globalization contribute to reduce CO 2 emissions. On the dark side, economic growth and urbanization degrade environment. Surprisingly, human capital adds to environmental degradation. The panel causality results reveal that ICT and globalization Granger cause CO 2 emissions. These unique findings provide new insight to alleviate environmental degradation in the LCA region. Based on these outcomes, a comprehensive set of policies are directed for environmental sustainability. Image 1 [ABSTRACT FROM AUTHOR]

• We assessed the climate change impact on wheat production in China. • We employed the FGLS, DOLS, and D–K estimation techniques. • Temperature negatively affected wheat production in the long–run. • Precipitation contributed positively to wheat production in the long-run. • Agro–chemical input (fertilizer use) enhanced wheat production in the long–run. Northern and Southern regions are the two major wheat production belts of China. Agro–climatic resources have changed significantly in recent years, threatening staple food production in these regions. As a result, it is critical to investigate the long–term effect of climate change and agri–inputs on wheat production in China's top six wheat producing provinces (Hebei, Shandong, Henan, Jiangsu, Anhui, and Hubei) from 1995 to 2020. The estimated long-run results from the FGLS, DOLS, and D–K estimators revealed that climatic factors, specifically temperature, had a negative impact on wheat production, while precipitation had a positive impact. The findings also revealed that agrochemical inputs, such as fertilizer, increases wheat production, whereas pesticide use decreases wheat production significantly. The results from the Dumitrescu–Hurlin panel causality test showed a bidirectional causality between rainfall, fertilizer use, and cultivated area with wheat production, while a unidirectional causality association is running from labor force to wheat production. The current study provides several critical policy recommendations for China's sustainable food production through green agricultural practices and robust climate mitigation strategies. [Display omitted] [ABSTRACT FROM AUTHOR]