The rapid economic development of China and the industrial shift from its eastern to western provinces have resulted in significant negative impacts on the environment. Recently, tourism has emerged as an alternative for economic and environmental development, but it is a double-edged sword. Without the required measures to protect environment, the opportunity cost of tourism is environmental degradation. The western part of China holds a significant advantage for the development of travel and tourism (T&T), due to One Belt One Road (OBOR), unique ancient culture and spectacular variety of natural scenic spots. This region is among the less explored and less developed, but important, parts of China. Taking this point into consideration, this paper aims to examine the impact of tourism on the environmental pollution of five provinces located in the heart of OBOR over the period of 1991–2016. To explore this link, we used the fully modified ordinary least squares (FMOLS) approach and Gregory-Hansen test for robustness check. We applied the Zivot-Andrews unit root test to deal with structural breaks in data. Our results confirm a negative impact of tourism on environment for Ningxia, Qinghai, Gansu, and Shanxi. However, tourism improves the environmental quality of Xinjiang. The negative impact of energy consumption and GDP growth is significant than tourism. Our findings suggest that the relationship varies for different provinces in the same region depending on the specific provincial features and government policies. Furthermore, tourism development has great potential to improve the economic and environmental sustainability in these provinces.

Innovation and globalization fosters a tendency towards multiparty collaboration and strategic contacts among nations. A similar path was followed by the Chinese administration in 2013, with its “Belt and Road Initiative” (BRI). The most important objective of the present fact-finding study was to demonstrate the links between economic growth, energy consumption, urbanization, gross fixed capital formation, trade openness, financial development and carbon emissions (ecological degradation) from a panel of 47 BRI economies, over a time span of 1980 to 2016. Dynamic panel estimations (dynamic ordinary least square (DOLS) and fully modified ordinary least square (FMOLS)) were engaged to examine the long-run links between the subjected variables. Synchronized outcomes for the full panel show that energy consumption, gross fixed capital formation, economic growth, financial development, and urbanization unfavorably led to environmental degradation (CO₂ emissions). However, trade openness is negatively correlated with emissions. Furthermore, pairwise panel Granger causative estimations justified bi-directional links from all regressors towards CO₂ emissions, except for trade openness, which had unidirectional ties with environmental quality. In cross-country, long-run assessments, different results were found, with CO₂ emissions being greatly increased by economic growth in all countries and energy consumption in 30 countries; other predictors testified to some mixed interactions with CO₂ emissions in the country-level examination. The reported investigation provides some noteworthy guiding principles and policy inferences aimed at governments and ecological supervisory administrations, suggesting assertive moves towards truncated used of carbon fossil fuels and dependency on renewable energy, establishing waste and water treatment plants, familiarizing themselves with the concept of a green economy, and making the general public aware of eco-friendly investments in BRI economies.