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Volume 2, Issue 4, 2023

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This study employed Schwartz's basic value theory and the theory of planned behaviour (TPB) to elucidate environmentally sustainable tourist behaviour (ESTB) among Muslim tourists in Indonesia. Two central inquiries were examined. Firstly, the impact of intrapersonal environmental and non-environmental values on the ESTB of Muslim tourists was scrutinised. Secondly, the mediating role of environmental attitude (EA) on these intrapersonal values towards ESTB in Muslim-friendly destinations in Indonesia was assessed. A cross-sectional survey, conducted in June and July 2022, collected data from 300 Muslim tourists at Muslim-friendly destinations in Indonesia. Participants, aged 17 and above, were selected through a purposive sampling approach; they had obtained a CHSE certificate in Malang during the transition from epidemic to the new normal era and had visited at least one of the 26 Muslim-friendly tourist spots. Analysis using the Structural Equation Model (SEM) revealed that while environmental knowledge (EK) and attitudes positively influenced ESTB, environmental concern (EC) and religious value (RGV) did not demonstrate a direct impact. Moreover, it was discerned that EA played a significant mediating role between RGV, EC, EK, and environmentally sustainable behaviours. It was further observed that individuals endorsing egoistic values typically exhibited weaker pro-environmental beliefs and were less inclined towards pro-environmental actions. Conversely, those with altruistic values displayed stronger pro-environmental beliefs, consequently impacting their environmental sustainability behaviour (ESB) in Muslim-friendly tourist destinations.

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In the context of rapid economic development, air pollution has emerged as a critical environmental issue, particularly in the Beijing-Tianjin-Hebei region. This study, through the application of Air Quality Index (AQI) data and K-means clustering, investigates the seasonal variations and spatial distribution of air quality in this region. It has been identified that air pollution in this area is not only subject to seasonal fluctuation but also exhibits distinct patterns of local spatial aggregation. Utilizing a Back Propagation (BP) Neural Network model, this research predicts AQI values, offering foresight into the development and transformation of haze weather conditions. The findings of this investigation are instrumental in enhancing the understanding of air pollution dynamics, facilitating the formulation of effective air control strategies. Such strategies are vital for the issuance of accurate pollution warnings and reminders, thereby contributing to the mitigation of severe pollution impacts.

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In the contemporary landscape, sustainability emerges as a pivotal indicator of corporate commitment to environmental stewardship. This study aims to elucidate the extent to which tourism enterprises, particularly those in Balıkesir Province known for leveraging natural resources, manifest their sustainable practices and certifications in electronic media. Content analysis, one of the qualitative research methods, was used in the study. The sustainability certificates of 118 accommodation facilities with tourism operation certificates operating in Balıkesir Province and the electronic platforms on which they share them were examined. It was determined that only 9 of the 118 accommodation facilities examined had an "Environmentally Friendly Facility" certificate. It was observed that only 7 of these 16 facilities displayed these documents on their websites. Additionally, very few facilities have a "Green Key" certificate. This study makes a unique contribution to the literature on the environmental responsibility fulfillment of tourism businesses and the practices to be developed to solve environmental problems. Through the findings of the study, suggestions are offered to all stakeholders necessary for sustainable tourism, especially accommodation businesses. The study's outcomes highlight the need for enhanced visibility of sustainable practices in electronic environments, thereby underscoring the imperative for tourism enterprises to augment their commitment to environmental sustainability.

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This study presents a comprehensive analysis of the influence of defense expenditures on the Gross Domestic Product (GDP) in Turkey from 1974 to 2021. Defense spending, crucial for national security, often diverges from regular civic investments such as education, healthcare, and transportation. The significance of these expenditures becomes evident in times of international tension, terrorist threats, and warfare. Globally, defense budgets are escalating, and Turkey, a North Atlantic Treaty Organization (NATO) member, is no exception. Recent trends show a decline in Turkey's public defense spending, with current levels lower than in the 1960s yet higher than the NATO average during 2014-2021. Concurrently, private sector investment in the defense industry has risen, underscoring Turkey's involvement in global defense dynamics. This research adopts the Autoregressive Distributed Lag (ARDL) bounds test and the Toda-Yamamoto causality test to scrutinize the long-term and causal relationships between defense spending and economic growth. The ARDL bounds test reveals a long-term negative cointegration relationship, while the Toda-Yamamoto test indicates a unidirectional causal relationship from defense expenditures to GDP at a 10% significance level. These findings affirm the Neoclassical economic theory's postulation of a negative impact of defense spending on growth. Despite this, the paper argues for the necessity of sustained defense expenditures in Turkey, given its unique historical and geopolitical context. The study navigates through various theoretical perspectives, notably the Keynesian and neoliberal approaches, and their specific adaptations in defense economics: military Keynesianism and private military services. It critically assesses these frameworks, integrating their critiques into the analysis. The study contributes to the discourse on defense economics by providing empirical evidence from a critical NATO member, balancing the theoretical debate with practical insights from Turkey's experience. This dual approach, combining empirical analysis with theoretical exploration, offers a nuanced understanding of the complex interplay between defense spending and economic growth, particularly in geopolitically sensitive regions.

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In the context of the increasingly aging rural population in China, this study investigates the implications of this demographic shift on the nation's agricultural green total factor productivity (AGTFP). Utilizing panel data from 30 provinces spanning 2005 to 2019, the AGTFP was quantified employing the slacks-based measure (SBM)-global Malmquist-Luenberger (GML) model. The investigation employed a dynamic panel model, a mediation effect model, and a threshold effect model to elucidate the relationship between rural population aging and AGTFP. Additionally, the potential influence of labor transfer thresholds on this relationship was examined. It was found that: (a) AGTFP in China has exhibited a fluctuating yet ascending trajectory, with an average annual growth rate of 1.55%. The advancement of agricultural green technology has been identified as the primary driver of this growth. (b) The aging rural population significantly and positively influences AGTFP, with notable regional disparities. (c) The positive impact of rural aging on AGTFP has been facilitated through human capital accumulation, land transfer, and agricultural mechanization. (d) This beneficial effect of rural aging on AGTFP is moderated by a single threshold of labor transfer. These findings underscore the complex interplay between demographic trends and agricultural productivity, highlighting the necessity for tailored policies that accommodate the unique characteristics of rural aging in China.
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