Technological innovation, as the primary driving force for the development of China’s digital economy, plays an important role in triggering industrial transformation and giving birth to emerging industries.An empirical analysis on the mechanism and path of the impact of panel data from Chinese new energy vehicle listed companies from 2012 to 2022 were conducted. Research has found that the digital economy significantly enhances the technological innovation capability of the new energy vehicle industry. The digital economy drives innovation in state-owned new energy vehicle enterprises more strongly than in private enterprises. Compared to western cities, the digital economy has greater innovation in new energy vehicle technology in eastern cities. Therefore, in the field of new energy vehicles, fully leveraging its big data resources and information advantages is an inevitable trend to lead the development of the new energy vehicle industry.

The development of new quality productivity is an effective path to promote the high-quality development of industry in the new era. The development of new quality productivity empowers the industrial development of minority non-legacy resources, which plays a key role in realising the strategic goal of cultural power and promoting rural revitalisation in ethnic areas.The two-way coupling between the new quality productivity and the industrial development is analyzed of minority non-heritage resources, and takes the Yao nationality non-heritage industry in Gongcheng County, Guangxi as a typical case study, investigates the existence of the new quality productivity empowered by the Yao non-heritage resources in the industrial development of the development of resources: insufficient linkage of the development of resources, the weak foundation of the regional industry, the lagging behind in the construction of the standard system, and the lack of power of innovation and development of the realities of the dilemma and puts forward the integration of the non-heritage cultural resources. Optimising the environment for industrial development, promoting the construction of standards and fostering the development of new industries are proposed in order to develop new productivity according to local conditions and comprehensively promote the development of ethnic minority non-legacy-related industries into a new stage of high-quality development.

The blueberry industry in China has experienced rapid development over the past 20 years, and the blueberry processing industry has become an important means to extend the blueberry industry chain and increase industrial added value. With the development of agricultural E-commerce, online platforms have become crucial for selling blueberry processed products. Product details and sales information for three main types of blueberry processed products on the JD platform were obtained, including blueberry jam, blueberry wine, and frozen blueberry. Through data preprocessing and analysis, the typical commodity features of these three processed products were extracted, the sales situations were compared and analyzed and the market preferences for blueberry processed products were explored. The results showed that coverage of China on imported blueberry processed products is low, and domestically products dominate in both quantity and sales volume. The blueberry jam market is stable, and the quality and market share of domestic brands have certain advantages. The unit price of products is relatively concentrated, and the packaging forms are diverse, which meets the market demand. Blueberry wine is a niche category but holds market potential. The price differences between different brands are significant, and their packaging forms and bottle capacities are mostly the same. Consumers are more inclined to purchase products with medium or low price. As for frozen blueberry, there are fewer well-known brands. Consumers prefer low-and mid-priced products, and the quality and brand of imported products are more advantageous. Finally, according to the research conclusions, some suggestions are put forward on the development of blueberry industry, in order to achieve sustainable and healthy development of blueberry industry in the future.

The ongoing implementation of digital rural development actions and the development of smart agriculture are aimed at narrowing the “digital divide” between urban and rural areas through digital rural construction. In the context of uneven distribution of factor resources, digital village construction is an important way to bridge the digital divide between urban and rural areas. Based on the multiple streams framework, the path of digital village construction was analysed. Through in-depth research on the history and current situation of the construction of three typical digital villages in Henan Province, the entry point of digital village construction in different villages was specifically analysed, and the feasible measures for the construction of rural digital villages was summarized in the context of different regions and different characteristics.

In recent years, continuous support from the central government has been provided, resulting in remarkable progress being achieved in digital infrastructure construction in ethnic regions. Based on the panel data from eight ethnic regions spanning from 2013 to 2022, a two-way fixed effect regression method was used to analyze the impact of digital infrastructure on rural industrial integration and to explore its mechanism. The empirical results now show that digital infrastructure has a significant positive impact on rural industrial integration. Agricultural loans, as an important part of financial services, are found to play a partial mediating role in this process. Therefore, it is necessary to strengthen the construction of digital infrastructure in ethnic regions and actively promote the development of rural digital inclusive finance.

Carrying out study tourism in Hainan Tropical Rainforest National Park is an important measure to implement the value of ecological products in the national park, fulfill the social responsibility of environmental education, and promote the full realization of the economic, social and cultural benefits of the national park. Based on the idea of “RMP(resources, markets, products)+”, an RMPC analysis model of resources, markets, products and curricula was proposed for study tourism development in Hainan Tropical Rainforest National Park, and resource surveys and questionnaire surveys were used to investigate the resources and source markets of study tourism in Hainan Tropical Rainforest National Park. The results showed that the types of study tourism resources in Hainan Tropical Rainforest National Park were complete, and the number of study tourism resources was highly correlated with the distribution of nature reserves, and the animal and plant resources were not fully utilized. The study tourism in Hainan Tropical Rainforest National Park has a good market foundation, and it is an urgent problem to deal with the relationship between wildlife protection and tourism development.According to the survey results, a development system for study tourism in Hainan Tropical Rainforest National Park is proposed from the dimensions of product development and curriculum design, so as to empower the green rise of Hainan Tropical Rainforest National Park with tourism development.

New energy vehicles have two characteristics of energy saving and environmental protection, and integrate transformative technologies in artificial intelligence, Internet, big data and other fields. They are an important strategic measure to cope with global climate change and optimize the energy structure, as well as an important engine to cultivate new quality productivity. Based on Nanjing Metropolitan Area of new energy automobile industry development present situation, SWOT(superiority, weaknesses, opportunities and threats) method was used to study the advantages, disadvantages, opportunities and threats of new energy automobile industry development in Nanjing Metropolitan Area. Specific countermeasures are put forward to realize high quality development of new energy automobile industry in Nanjing Metropolitan Area, and bring new development opportunity and kinetic energy.

The location entropy method, super efficiency SBM-UN model, and panel Tobit model were adopted to explore the impact mechanism of county-level industrial agglomeration on land use efficiency. The research results indicate that the agglomeration degree of the secondary industry in Inner Mongolia counties first increased and then decreased, and the agglomeration degree of the tertiary industry first decreased and then increased. The overall trend of land use efficiency in Inner Mongolia’s counties shows a decrease followed by an increase, with high-value areas gradually concentrating towards the center. The agglomeration of county-level industries in Inner Mongolia has a positive driving effect on land use efficiency, and its impact mechanism is significantly heterogeneous. The level of economic development and population density have a significant promoting effect on the improvement of land use efficiency, while land use structure, consumption level, and enterprise size have a negative hindering effect on the improvement of land use efficiency. Due to differences in resource endowments and economic development levels, various counties (districts) have significant differences in industrial agglomeration levels and land use efficiency. In the future, it is necessary to continue to strengthen the guidance and planning of industrial agglomeration, and optimize the allocation of land resources.

Under the background of rural revitalization strategy, the rural tourism resources in Shangxia County were investigated. Taking tourist satisfaction as the characteristic value, the methods of literature analysis, questionnaire survey, field interview and regression analysis were used to measure tourism development. The findings indicate that Shangyou County’s natural ecology and Hakka cultural heritage lay a solid foundation for rural tourism, but there are some shortcomings in supporting facilities, transportation accessibility, cultural development and service quality. Solutions are proposed, including improving infrastructure, optimizing transportation, leveraging cultural features, hastening the integration of culture and tourism, and establishing region-specific brands, in order to promote the sustainable development of rural tourism.

Using the emission factor method, the carbon emissions of Jiangsu Province as a whole, as well as those of southern, central, and northern Jiangsu from 2001 to 2019 were calculated. The variation coefficient, Gini coefficient, and Theil index were employed to measure the disparities in carbon emissions among the three major regions of Jiangsu. Based on the STIRPAT model and using ridge regression, the driving mechanisms of carbon emissions in Jiangsu province and its subregions were explored. Furthermore, scenario analysis was applied to predict the carbon emissions and peak carbon year of Jiangsu province for the period 2020—2050.The results show that significant disparities in carbon emissions exist among the three regions of Jiangsu province during the study period, with overall differences fluctuating and increasing over time; Population size, per capita GDP, urbanization rate, industrial structure, and energy intensity all significantly impact carbon emissions in Jiangsu and its subregions. Population size is identified as the primary driver of carbon emissions growth in Jiangsu province and southern Jiangsu, while the urbanization rate is the main driver in central and northern Jiangsu; Under scenarios of economic slowdown and industrial upgrading, Jiangsu province is projected to reach its carbon emissions peak as early as 2030.