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Rapid industrialisation and economic growth among the emerging E-7 economic countries (China, India, Indonesia, Brazil, Mexico, Russia, and Turkey) negatively degrade the environment in the region. Therefore, this study investigates the relationship between financial development and environmental degradation to promote low-carbon transition. The methodology of data collection techniques employed is the generalised method of moments (GMM) using a one-step and two-step approach, and a seemingly unrelated regression (SUR) test is used to obtain the study objectives. The empirical outcomes unveiled that fiscal decentralisation and financial inclusion favourably moderate the impact of total carbon emission (TCE) and carbon emission per capita on energy (CEPE) intensity. Ecological quality degrades by increasing financial development; however, human capital and institutional quality reduce environmental degradation. The causality analysis suggested that any policy related to economic growth, human capital, and institutional quality will affect the environment. Additionally, an institution’s quality reduces the negative ecological impacts caused by financial development. In conclusion, emerging economies should promote environmental sustainability by fostering human capital and effectively using financial resources. Also, economic growth in E-7 countries is responsible for reducing carbon emissions; therefore, E-7 governments should prioritise research into low-carbon technology and renewable energy sources, and the financial sector must play its role to give more capital that prioritises environmentally conscious enterprises and encourages strategies that minimise environmental impact.

Despite China's significant progress in energy saving renovations, during the past 10 years, problems about inefficiencies remain. In the Netherlands, the energy labeling system (ELS) effectively linked policy objectives and market forces, combined with the stepped tariffs aimed at the performance of energy-saving renovation, generating a virtuous cycle of housing energy efficiency upgrading. China may draw the experience from Netherlands. In this regard, the authors probe the market effect and operating mechanism of the Dutch ELS and the stepped tariffs. The theory of multi-level governance (MLG) is introduced to the filed investigations both in China and the Netherlands. Based on the group-interviews and depth-interviews with the officials in related agencies and the residents of retrofitting housing, the authors obtained first-hand information to ensure a close case study on Netherlands' housing ELS and its implementation, in order to provide some enlightenment for China's existing housing renovation and low carbon development.

In recent years, the tourism economy of Guangxi Zhuang Autonomous Region (hereinafter referred to as “Guangxi”), China, has been caught in the contradiction between infrastructure construction and natural environmental protection. By combing Guangxi’s tourism economy with its development path of smart long-term rental housing, this paper finds that the long-term rental market in Guangxi based on artificial intelligence (AI) technology can solve the development contradiction through accurate construction planning to improve efficiency. The long-term rental housing market in Guangxi has entered a low-carbon economy period since pilot programs were launched for the policy of managing public rental housing with AI and information technologies. From the perspective of AI, facts have proved that AI has the ability to re-adjust the competition order of an industry, which not only realizes the low-carbon development of the rental market, but also promotes the industrial upgrading of the tourist industry.

Because the low carbon and sustainable development becomes more and more important in Chinese even in all over the world, author sorted out the logic of green building technology with the logic of digital technology by generalizing the development and type of modern green building technology. As the specific experiment object, Xuzhou Fenghua garden residential district was planned and designed though green digital design means. The reasonable general plan was designed scientifically and efficiently though the immediate colorful chill sunshine time map and repeated adjusted design. The above is to prove the efficiency and possibility of green digital design and bring inspiration to a deeper level of advanced algorithm.

We firstly based on the IPCC international national greenhouse gas inventory calculation 1995–2012 Xinjiang annual carbon emissions, and then selects the Xinjiang 1995–2012 years of carbon emission intensity as a low carbon economy development index, total loans of financial institutions accounted for the proportion of GDP as the index of financial and credit support, empirical analysis of the test with the relationship between the two. Found that there are long-term stable cointegration relationship between carbon emission intensity in Xinjiang and financial credit support among the variables, the loan balance of financial institutions accounted for the proportion of GDP growth by 1 percentage point each, the intensity of carbon emissions will rise by 0.137 percentage points, Xinjiang financial and credit support and not to curb carbon emissions intensity increases, and based on this puts forward some enlightenment and suggestions of the development a low carbon economy in Xinjiang.