Utilizing Ant Forest technology to foster sustainable behaviors: A novel approach towards environmental conservation.

Amidst mounting environmental threats and exacerbated global risks from climate change, the urgency for sustainable behaviors has never been more critical, demanding concerted efforts to cultivate individual actions for environmental conservation. Ant Forest technology, a groundbreaking innovation for sustainable lifestyles, stands at the forefront of this battle, harnessing technological advancements to drive positive environmental impact and must be championed. This research investigates the dynamics of environmental conservation behaviors facilitated by Ant Forest Technology.

Intelligence level evaluation and influencing factors analysis of equipment manufacturing industry in the Yangtze River Delta.

The Yangtze River Delta (YRD) bears the vital task of driving the growth of China's equipment manufacturing industry (EMI) intelligence as an advanced region. Fostering the transformation and upgrading of the EMI in the YRD and constructing a modern production mode is vital to developing and reforming China's manufacturing industry. This paper uses industrial robot data to assess the level of intelligence (LoI) in the EMI from 2016 to 2019.

Households' food waste behavior prediction from a moral perspective: a case of China.

The increasing rate of food waste is becoming a threat to realizing Sustainable Development goal 2 by 2030. A significant portion of food is wasted along the entire food supply chain, resulting in adverse economic, ecological and social consequences. Inferring from the norm activation model (NAM), the study investigates the influence of benefits awareness, lack of concern and personal norm on households' food waste reduction intention.

Curbing vehicular urban pollution in China: Investigating the usage intentionof public electric buses.

Public electric bus (PEB) usage remains critical in reducing carbon emissions, traffic congestion, energy consumption, resource exhaustion, and environmental pollution. PEB usage revolves around consumer acceptance, and assessing the psychological factors accounting for using PEBs is essential in mitigating these challenges for a sustainable environment. The study extends the reasoned action theory (TRA) with environmental awareness, convenience, and personal norms in investigating residents' intention to use electric buses in Nanjing, China.

Sustainable development of West African economies to achieve environmental quality.

The deterioration of environmental quality spurred on by rising greenhouse gas (GHG) emissions is the main threat to reducing carbon footprint. Africa has recently been identified as having experienced excessive temperatures above pre-industrial standards. Despite its lower GHG emissions, Africa continues to be among the most impacted areas of the world by global warming.

Financial sector development and natural resource rents: the role of institutions in Sub-Saharan Africa.

Institutions are important in analyzing the relationship between natural resource rents and financial sector development. The existing research has not unanimously established the role played by the quality of institutions on the impact of natural resource rents on financial sector development. The financial-resource nexus literature has largely ignored the role of institutions and the sensitivity of the relationship to the choice of proxies for financial sector development.

Renewable energy demand, financial reforms, and environmental quality in West Africa.

Sustainable Development Goal (SDG-7) stipulates the need for clean energy, reduced carbon dioxide emissions, prevention of environmental degradation, promotion of biodiversity, and ecosystem preservation. Toward achieving these goals, this study provides new evidence on the causal link between renewable energy demand, financial reforms, economic growth, foreign direct investment, and environmental quality among emerging West African economies. The study adopted the fully modified ordinary least squares, dynamic ordinary least squares, pooled mean group estimation, and Granger causality test for its analysis.