Search

The green and sustainable development of fisheries is a crucial way to safeguard the environment, guarantee food security, and promote social and economic development. In the rapidly evolving era of digitalization, how to fully leverage the advantages of digitalization to motivate fishery sustainable development has become a worthy research question. Based on combing the development stage and characteristics of Chinese fishery digitalization, this paper selects six fishery digitalization factors from the perspective of configuration based on the technology-organization-environment (TOE) theoretical framework, and uses the panel fuzzy-set qualitative comparative analysis (fsQCA) method to explore the configurational path of how digitalization empowered the sustainable development of fisheries in China from 2011 to 2021. This paper found that: (1) Fishery digitalization can significantly enhance the level of fishery sustainable development, but individual elements of fishery digitalization are not necessary conditions for realizing a high degree of fishery sustainable development. However, strengthening digitalization talent support plays a more universal role. (2) Four types of fishery digital ecology can generate a high level of fishery sustainable development, demonstrating the multiple paths and complex mechanisms of fishery digitalization empowering fishery sustainable development. (3) In underdeveloped areas such as Jilin, Hunan, and Qinghai, the empowering effect of digitalization on the sustainable development of fisheries is relatively limited. The research findings open the "black box" of how digitalization empowers the sustainable development of fisheries, providing theoretical reference for various types of provinces to utilize digitalization to drive the sustainable development of fisheries. [Display omitted] • Theoretical framework is based on the configuration perspective and TOE framework. • We use the panel fsQCA method to explore fishery digitalization empowerment pathways. • Four types of fishery digital ecology can generate high fishery sustainability. • Digital talent support plays a more general role in fishery sustainable development. • The empowering effect of digitalization is relatively limited in underdeveloped areas. [ABSTRACT FROM AUTHOR]

Because of the particularity of energy being non-renewable, the development of energy-intensive cities must consider its follow-up development issues in advance, especially for newly developed energy-intensive cities like Songyuan in the midwest of Jilin Province. It is necessary to summarize the experience from other energy-intensive cities and recognize the problems existing in its own development, so that the development of the city will not perish due to the exhaustion of energy. At present, the sustainable development of energy-intensive cities is the focus of attention at home and abroad. Energy-intensive cities have made great contributions to the national and regional economy but also paid a considerable price. Making the city continue to prosper and develop steadily without causing the city to decline due to the exhaustion of energy is the main problem facing the country, the government, and experts and scholars. Taking Songyuan City in Northeast China as an example, this paper adopts a combination of breakthroughs from the surface and breakthroughs, supplemented by theoretical analysis and empirical evaluation, and uses mathematical model simulation and expert consultation and decision-making methods. Starting from the theoretical height of man-land harmony and sustainable development, we construct an evaluation model of rural development status in energy-enriched poverty-stricken areas, evaluate the evolution trend of rural development status, and propose leading models and development strategies for rural transformation and development in energy-enriched poverty-stricken areas. It provides theoretical reference and decision-making basis for the sustainable development of rural Songyuan City. [ABSTRACT FROM AUTHOR]

Symmetries play very important roles in the analysis of cognitive and emotional attitudes. The analysis with Python technology, including optimized artificial intelligence technology, is designed on the basis of symmetry principles. Destination image perception as a branch of destination image research is of great significance to tourists' decision-making and destination image building. Ice-snow tourism is a hot topic nowadays, and research on perceptions of images of ice-snow tourism has become a focus. In this paper, python programming was used to crawl online travel journals and reviews about Jilin province's ice-snow tourism on the Internet to analyze the frequency of frequently used words, their classification, word cloud and co-occurrence network, and other aspects of image perception, and proceed to the emotional perception of and emotional attitude to the emotional images and an overall image analysis. The study found that: (1) Perceptions of images of ice-snow tourism can be divided into five categories: tourism attractions, tourism activities, tourism facilities, tourism features and the tourism service environment. The frequency of tourism attractions is the highest, followed by tourism facilities and the tourism service environment. "Changbai Mountain" and "rime" are the core words, that is, tourists are most impressed by the scenic spot and landscape of "Changbai Mountain and rime." (2) Positive emotional expressions accounted for 67.23% of perceptions of images of ice-snow tourism. Tourists gave a positive evaluation for Changbai Mountain, the snow landscape of Tianchi and skiing facilities. Meanwhile, passive emotional expressions accounted for 21.07% and tourists gave passive evaluations for travel, transportation, accommodation and catering. (3) Tourists spoke highly of overall images of ice-snow tourism in Jilin Province but few were willing to revisit. In the conclusion, strategies are put forward to improve image perceptions of ice-snow tourism and promote the sustainable development of ice and snow tourism. [ABSTRACT FROM AUTHOR]

The transportation industry is the fundamental and strategic industry for social and economic development. However, this industry becomes a considerable barrier against green, sound, and sustainable economic and social development due to the rapid increase in energy consumption and greenhouse gas emission. Transportation industry becomes one of weakness of energy saving and emission reduction with its increasing energy consumption and carbon emission. Environmental pollution caused by the transportation industry can be relieved effectively by increasing energy efficiency. A case study based on Jilin Province, China is carried out. First, environmental pollution types caused by regional transportation industry are analysed. Second, energy efficiency of transportation industry in eight prefecture-level cities in Jilin Province from 2011 to 2017 is determined using the DEA-Malmquist index. Finally, measures to control environmental pollution caused by the transportation industry are proposed. Results show that in Jilin Province, environmental pollution caused by the transportation industry manifests through increasing energy consumption, pollution from car exhaust, and degree of traffic jams. In its eight prefecture-level cities, the average energy efficiency change index of transportation industry is 1.054, which is higher than 1. The means of technological efficiency and progress are 0.973 and 1.084, respectively. The mean pure technological efficiency of energy use slightly increases, while the mean scale efficiency decreases significantly. Results can provide beneficial references for full understanding on energy consumption and environmental emission of transportation industry in Jilin Province. This understanding can lead to the exploration of scientific and reasonable energy-saving and emission-reduction ways and countermeasures, aiming to offer decision-making references for energy saving and emission reduction of the transportation industry in Jilin Province. [ABSTRACT FROM AUTHOR]

Assesses a land-use theory in determining labor location with spatial patterns to promote agricultural land quality in West Jilin, China. Application of the von Thunen theory in approaching environmental problems; Relation between agricultural intensification to land improvement; Methodology used in measuring land quality.