Research on the Path of High-Quality Development of Rural Tourism Empowered by Digital Economy DOI Open Access
Liangping Li, Xia Zhu

Applied Mathematics and Nonlinear Sciences, Год журнала: 2024, Номер 9(1)

Опубликована: Янв. 1, 2024

Abstract The digital economy is a part of the current industrial reform that should not be ignored. Moreover, rural tourism an important way to realize revitalization and common prosperity, correlation interaction between two are crucial development. In this paper, we explore interactive influence two, use entropy value method, kernel density function, global spatial autocorrelation analysis, other measurement methods measure comprehensive development level accordingly establish coupling coordination model for high-quality tourism. spatiotemporal characterization in 30 provinces China carried out, coupled coordinated 16 cities towns Yunnan Province explored as example, according which suggestions corresponding paths put forward. index China’s seven major geographic regions during five years 2019-2023 highest South (0.473) lowest Northwest (0.219). Southwest (0.518) has value, while (0.386) value. degree increased by 0.0903 5 years. 2014, 2016, 2018, 2020 Moran was -0.0885, 0.0916, 0.1527, 0.1729, with Z-value showing increasing trend P-value decreasing Trend. improved.

Язык: Английский

Tracking sustainable development in mining towns: A novel framework integrating socioeconomic and eco-environmental perspectives through coupling coordination degree DOI
Xiaofei Sun, Huaiyong Shao, Shuneng Liang

и другие.

Environmental Impact Assessment Review, Год журнала: 2024, Номер 109, С. 107641 - 107641

Опубликована: Авг. 27, 2024

Язык: Английский

Процитировано

6

The multiplier effect of data elements empowering green economic development: a mechanism examination based on innovation-driven DOI

Jianglin Jiang

Applied Economics, Год журнала: 2025, Номер unknown, С. 1 - 16

Опубликована: Янв. 8, 2025

Green and sustainable has become an inevitable trend of economic development. Therefore, this paper analyzes the spatial characteristics influence mechanism data elements green economy. Firstly, kernel density estimation model is used to analyse characteristics. Secondly, ordinary panel regression explore direct effect on Thirdly, mediation threshold are mechanisms The conclusions as follows: (1) Data economy show increasing trend, increased from 0.090 0.110 in 2013 0.240 0.193 2022, respectively. (2) significantly promote economy, but there regional heterogeneity. impact strongest North, followed by East, South, Central, West. (3) through innovation-driven intermediary role, was 0.128, accounted for 53.11% total proportion. (4) a non-linear With thresholds at element values 0.020 0.023, follows pattern.

Язык: Английский

Процитировано

0

Coupled Coordination of the Water–Food–Energy System in Nine Provinces of the Yellow River Basin: Spatiotemporal Characteristics and Driving Mechanisms DOI Open Access
Lei Nie, Meng-Shan Wu, Zhifang Wu

и другие.

Water, Год журнала: 2025, Номер 17(7), С. 1040 - 1040

Опубликована: Апрель 1, 2025

This study focuses on the Yellow River Basin, a key economic region spanning nine provinces in China, and explores complex interactions within water–food–energy systems. Based theoretical framework of coupled coordination system, an indicator system is developed to assess these Using ArcGIS, identifies spatiotemporal characteristics coupling systems Basin. Additionally, panel data model employed analyze driving mechanisms optimization pathways for enhancing region. The results reveal that (1) degree between Basin varies significantly across space. (2) Overall, relatively low exhibits clustered pattern. (3) Research development (R&D) intensity significant factor influencing

Язык: Английский

Процитировано

0

The Impact of digital finance on rural energy poverty-empirical evidence from rural China DOI Creative Commons
Yi Li, Bing Zhou

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Июль 18, 2024

It is of critical importance to address energy poverty in rural areas if inclusive prosperity be achieved. Digital finance offers new opportunities alleviate these regions. However, previous studies have mainly focused on the impact digital poverty, neglecting research its and specific forms poverty. This study aims fill this gap by investigating The period 2011–2021 was selected as observation period, with 31 provinces serving objects. fixed effects model employed investigate while exploring mediating effect. results indicate that alleviates level conclusion remains valid following a series robustness tests. Furthermore, can indirectly through technological innovation agricultural entrepreneurship activities. Further indicates more pronounced regions abundant human capital, robust government intervention, minimal urban–rural disparities. extends theoretical support for Likewise, finding provides perspective relevant departments improve welfare residents

Язык: Английский

Процитировано

2

Evolution of Green Finance: Mapping Its Role as a Catalyst for Economic Growth and Innovation DOI Open Access
Nini Johana Marín‐Rodríguez, Juan David González-Ruíz, Sergio Botero-Botero

и другие.

Journal of risk and financial management, Год журнала: 2024, Номер 17(11), С. 507 - 507

Опубликована: Ноя. 12, 2024

This scientometric study analyzes the evolving landscape and outlook of green finance as a driver economic innovation growth, highlighting key trends influential research within this critical field. A dataset 371 publications was compiled from Scopus Web Science databases analyzed using VOSviewer, Bibliometrix, Voyant tools to map landscape. By systematically reviewing scientific literature, tracks development finance’s role catalyst for identifying trending topics, studies, major contributors through bibliometric methods. The analysis reveals growing interdisciplinary approach, integrating environmental, social, political dimensions into research. Keyword identified three primary thematic clusters: (1) innovation, (2) carbon neutrality, fintech, (3) renewable energy urbanization. provides comprehensive overview field aims guide future while contributing ongoing debates on in fostering sustainable growth.

Язык: Английский

Процитировано

2

Deep Integration and Innovation Development in the Logistics and Manufacturing Industries and Their Performances: A Case Study of Anhui Province, China DOI Open Access
Heping Ding,

Yuchang Gao,

Fagang Hu

и другие.

Processes, Год журнала: 2024, Номер 12(9), С. 1867 - 1867

Опубликована: Авг. 31, 2024

The deep integration and innovative development of the logistics manufacturing industries (LMDIIs) are crucial for reducing costs, increasing efficiency, advancing manufacturing. To assess level performance LMDIIs, we construct an evaluation index system, calculate weights using CRITIC method, measure comprehensive LMDIIs TOPSIS method. We evaluate coupling coordination conduct a ridge regression analysis their performance, Anhui Province, China, as case study. results show that in Province is low. highest values from 2013 to 2022 indicate great potential. fluctuating upwards, degree growing slowly. impact coefficients on digital intelligence industry profit levels two significant promoting effect. However, coefficient low-carbon transformation negative, indicating restraining Hence, propose countermeasures suggestions further promote provide theoretical methodological support research management.

Язык: Английский

Процитировано

1

Research on the Path of High-Quality Development of Rural Tourism Empowered by Digital Economy DOI Open Access
Liangping Li, Xia Zhu

Applied Mathematics and Nonlinear Sciences, Год журнала: 2024, Номер 9(1)

Опубликована: Янв. 1, 2024

Abstract The digital economy is a part of the current industrial reform that should not be ignored. Moreover, rural tourism an important way to realize revitalization and common prosperity, correlation interaction between two are crucial development. In this paper, we explore interactive influence two, use entropy value method, kernel density function, global spatial autocorrelation analysis, other measurement methods measure comprehensive development level accordingly establish coupling coordination model for high-quality tourism. spatiotemporal characterization in 30 provinces China carried out, coupled coordinated 16 cities towns Yunnan Province explored as example, according which suggestions corresponding paths put forward. index China’s seven major geographic regions during five years 2019-2023 highest South (0.473) lowest Northwest (0.219). Southwest (0.518) has value, while (0.386) value. degree increased by 0.0903 5 years. 2014, 2016, 2018, 2020 Moran was -0.0885, 0.0916, 0.1527, 0.1729, with Z-value showing increasing trend P-value decreasing Trend. improved.

Язык: Английский

Процитировано

0