The Double-Layer Digital Needs Model in Marketing for Sustainable Digital Development

Journal of Lifestyle and SDGs Review, Год журнала: 2025, Номер 5(1), С. e03460 - e03460

Опубликована: Янв. 10, 2025

Background: This study investigates the role of social linkages and community resilience in advancing sustainable development Tianjin, emphasizing their contribution to environmental sustainability economic stability. The focus is on understanding how cohesion interact with growth influence indicators. Objectives: objective examine impact cohesion, resilience, indicators explore these factors can drive resource efficiency renewable energy initiatives urban settings. Methodology: An empirical approach was employed analyze a dataset spanning 2000 2020. utilized Cross-Section Augmented Autoregressive Distributed Lag (CS-ARDL) modeling evaluate relationships conducted robustness checks through Feasible Generalized Least Squares (FGLS) Panel Corrected Standard Errors (PCSE). Results: Findings indicate that strong enhanced positively outcomes. These outcomes include efficient use, increased support for initiatives, improved Novelty: highlights critical infrastructure resilience-oriented policies fostering rapidly urbanizing regions. By integrating into adaptive policy frameworks, research provides valuable insights creating resilient, environments promote

Язык: Английский

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Exploring the Influence of the Digital Economy on Energy, Economic, and Environmental Resilience: A Multinational Study across Varied Carbon Emission Groups

Sustainability, Год журнала: 2024, Номер 16(7), С. 2993 - 2993

Опубликована: Апрель 3, 2024

Rapid advancements in digital technologies have accelerated global change, underscoring the critical role of resilience addressing escalating energy, economic, and environmental challenges. This paper investigates effects mechanisms economy on within context these By utilizing panel data from 66 countries spanning period 2000 to 2020, this analysis employs robust models incorporates tests such as Hausman Leamer tests, exploratory factor analysis. The results reveal a notable positive impact across various time periods. However, when it comes carbon emissions, more intricate pattern emerges, suggesting negative influence environmental, economic domains. Interestingly, with below-average emissions show due economy. On other hand, effect energy is less prominent carbon-emitting nations, while significant subgroup. Above-average experience limited resilience, face challenges impacting their resilience.

Язык: Английский

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Ecological economic resilience in China: systematic performances, structural characteristics and evolutionary predictions

Environment Development and Sustainability, Год журнала: 2025, Номер unknown

Опубликована: Янв. 15, 2025

Язык: Английский

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Can digital financial inclusion promote urban economic resilience? Evidence from Guangxi, China

Regional Studies Regional Science, Год журнала: 2025, Номер 12(1), С. 205 - 224

Опубликована: Март 19, 2025

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Assessing the Impact of Regional Integration Strategies on the Development of Urban Green Economies: A Study Based on an Empirical Analysis of Ten Major Urban Agglomerations

Sustainability, Год журнала: 2024, Номер 16(8), С. 3258 - 3258

Опубликована: Апрель 13, 2024

Green development represents a critical pathway to achieving high-quality growth. From regional perspective, examining the impact of integration on urban green economic holds significant importance. This study leverages quasi-natural experiment strategy implementation, utilizing unbalanced panel data from China’s ten major agglomerations and non-agglomeration cities 2003 2022. Employing multi-period difference-in-difference approach, we empirically assess policy effects strategies development. We further analyze heterogeneity in terms geographic areas, agglomeration scales, driving models under study. Lastly, use moderating effect model explore mechanisms through which The research results are helpful for promoting economy strategy.

Язык: Английский

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Ecological resilience in water-land transition zones: A case study of the Dongting Lake region, China

Ecological Indicators, Год журнала: 2024, Номер 166, С. 112284 - 112284

Опубликована: Июнь 26, 2024

Язык: Английский

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Study on the Coupling Coordination Development between the Digital Economy and Innovation Efficiency: Evidence from the Urban Agglomeration in the Middle Reaches of the Yangtze River

Land, Год журнала: 2024, Номер 13(3), С. 292 - 292

Опубликована: Фев. 26, 2024

The urban agglomeration in the middle reaches of Yangtze River holds a crucial strategic position China’s economic and social development landscape. Exploring coordinated effects within digital economy innovation this area is conducive to promoting central region China Economic Belt. This paper uses 28 sample cities as study sample, constructs indicator system an efficiency system. Based on coupling coordination degree model, we use kernel density estimation, Markov chain algorithm, Dagum Gini coefficient decomposition method empirically investigate dynamic trends between from 2012 2021. research results reveal overall upward trend economy, efficiency, stages. However, accompanied by risk recession. Moreover, there are significant differences cities, highlighted Wuhan other cities. In light findings, it recommended that government departments take measures, including being alert regressive development, developing realistic manner, drawing experiences outstanding development. can provide new insights empirical references for entities measures more River.

Язык: Английский

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Does the digital economy promote the green total factor productivity of the sporting goods manufacturing industry? Province-level evidence from China

Journal of Infrastructure Policy and Development, Год журнала: 2024, Номер 8(6), С. 3278 - 3278

Опубликована: Июль 11, 2024

Based on digital technology, the economy has typical characteristics of high efficiency, greenness, intelligence, innovation, strong penetration and so on, which can promote sporting goods manufacturing industry (SGMI) to realize goal green development. This study selects panel data from 30 provinces in China over period 2011 2022. And total factor productivity (SGTFP) is used reflect development SGMI. The level (DIG) SGTFP are measured by using entropy method Super-SBM model with undesirable outputs. coupling coordination degree model, coordinated DIG analyzed first. Then, making use fixed effect intermediary spatial Durbin influence SGMI its mechanism empirically studied. results show that DIG, their generally rise. benchmark regression coefficient 0.213; is, significantly improvement According analysis impact a certain spillover, region will have promoting surrounding region. analyzes finds mainly boosts through innovation technology energy consumption structure.

Язык: Английский

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Analyzing Spatial–Temporal Patterns and Driving Mechanisms of Ecological Resilience Using the Driving Force–Pressure–State–Influence–Response and Environment–Economy–Society Model: A Case Study of 280 Cities in China

Systems, Год журнала: 2024, Номер 12(8), С. 311 - 311

Опубликована: Авг. 20, 2024

Unveiling the spatial and temporal distribution of urban ecological resilience analyzing configuration paths for enhancing its levels are crucial promoting sustainable development in China. Our study integrates DPSIR EES models, considering causal relationships between systems affecting while also examining their internal structures. Based on this, we construct an evaluation system indicators. Utilizing entropy-TOPSIS method, assess index (ERI) across 280 Chinese cities from 2011 to 2021, kernel density estimation Markov chain used evolution process magnitude source spatial–regional differences examined by Dagum Gini coefficient decomposition method. Additionally, empirically investigate driving mechanisms toward high ERI with focused stepwise quantitative case analysis (fsQCA) method based technology–organization–environment (TOE) framework. The results find that China shows a tendency moderate growth variability, obvious gradient distribution: higher eastern southern lower western northern regions. Also, exhibits evolutionary features increasing polarization inter-regional differentiation. Spatial disparities gradually increase fluctuations, driven primarily transvariation intra-regional differences, contributing dual non-equilibrium state east–west north–south directions. Achieving is influenced various antecedent variables interacting each other, there three predominant among these variables, level informatization playing central role pathway.

Язык: Английский

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Spatial–Temporal Evolution and Influential Factors of Eco-Efficiency in Chinese Urban Agglomerations

Sustainability, Год журнала: 2023, Номер 15(16), С. 12225 - 12225

Опубликована: Авг. 10, 2023

Against the background of a high-quality development philosophy, realization coordinated economy, environment, and resources is particularly important. This study adopts super-efficiency slacks-based measure (SBM) model to evaluate eco-efficiency 208 cities in 19 urban agglomerations China from 2006 2020, kernel density estimation spatial econometric specifications are combined reveal spatial–temporal evolution. Finally, Tobit regression used analyze driving factors China. The main results can be summarized as follows: (1) Chinese generally low, differences between obvious, with different trends change. (2) In terms time series, sample period shows “steadily rising” trend followed by “fluctuating downward” trend. From estimation, internal difference overall small decline gradual increase. (3) point view, decreased coast inland areas, there was “cluster effect”. aggregation. (4) perspective influencing factors, fiscal expenditure, opening-up level, population have significant negative correlation agglomerations, while science technology investment, industrial structure, urbanization level positive agglomerations. research this paper provides guidance for formulation environmental policies.

Язык: Английский

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