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Journal of library and information science in agriculture ›› 2026, Vol. 38 ›› Issue (4): 71-83.doi: 10.13998/j.cnki.issn1002-1248.25-0526

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Digital Technology Empowering High-Quality Development of Public Cultural Services: Impact Effects and Influencing Mechanisms

YUAN Shuo   

  1. Tianjin Academy of Social Sciences of Institute Government Governance and Public Policy Evaluation, Tianjin 300191
  • Received:2025-08-29 Online:2026-04-05 Published:2026-04-15

Abstract:

[Purpose/Significance] The accelerated digital transformation of public cultural services has fundamentally reshaped modes of service delivery, governance frameworks, and citizen engagement. Exploring how digital technologies empower the high-quality development of public cultural services is essential for designing a modern, equitable, and efficient service system. This study contributes to the existing literature by systematically investigating not only the direct effects of digital technologies but also threshold, regional heterogeneity, spatial spillovers, and mediating mechanisms. This clarifies how digital innovation interacts with governance capacity and institutional environments. Unlike previous research, which relied mainly on descriptive or single-method analyses, this study employs an integrated empirical framework. This framework captures the dynamic and multidimensional nature of digital empowerment within the context of public service. It enriches the theoretical and practical understanding of digital governance. [Method/Process] This study employs panel data from 31 Chinese provinces over the period 2015-2023 to systematically investigate how digital technologies influence the high-quality development of public cultural services. A combination of fixed-effects models, mediating-effects models, threshold regression models, and spatial econometric models was used to capture direct, nonlinear, regional, spatial, and mediating effects. To control for potential confounding factors, fiscal expenditure, population density, and cultural literacy were incorporated as covariates. The analysis drew on theoretical foundations conceptualizing digital technology as a new productive force and was supported by empirical data from national statistical yearbooks, digital finance indices, and governance performance indicators, ensuring both methodological rigor and contextual relevance. [Results/Conclusions] Digital technology significantly promotes the high-quality development of public cultural services, with measurable positive effects for each incremental increase in the digital technology development index. The influence exhibits a nonlinear threshold pattern, reflecting a "promotion-weakening-enhancement" trajectory, highlighting the necessity of integrating technological applications with governance structures, resource allocation, service design, and public digital literacy. Regional analyses reveal stronger effects in the central and western provinces, suggesting that digital technologies can help mitigate service disparities under supportive policy frameworks. The spatial econometric results indicate positive spillover effects on neighboring regions, while the mediation analysis identifies government governance capacity as a key mechanism through which technological inputs translate into service outcomes. Policy implications include reinforcing digital infrastructure, enhancing institutional support, implementing region-specific strategies, fostering inter-provincial coordination, and strengthening government-led service integration. The study has limitations, including the possibility of potential unobserved concurrent causal pathways, Future research should adopt configurational methods such as qualitative comparative analysis in future research to further elucidate the complex, multicausal dynamics of digital technology empowerment in public cultural services.

Key words: digital technology, public cultural services, high-quality development, impact effects, influencing mechanism

CLC Number: 

  • G249.2

Table 1

Descriptive statistics results of the sample data"

变量符号样本量/个最小值最大值均值标准差
公共文化服务高质量发展指数Ser2790.0490.5020.1060.055
数字技术发展指数Dig2790.0020.9960.3480.203
政府治理能力Gov2790.1030.5680.2100.081
财政支出Fis2790.7017.6971.7490.995
人口密度Pop2792.7503 926460.760704.951
文化素养Edu2795.06212.7829.3861.104

Table 2

Results of direct effect analysis"

变量

混合回归

(1)

随机效应

(2)

时间固定

(3)

个体固定

(4)

双固定

(5)

Dig0.060***0.131***0.040*0.254***0.298***
(0.016)(0.043)(0.022)(0.081)(0.080)
Pop-0.017*0.0070.0630.072
(0.009)(0.005)(0.155)(0.149)
Edu0.019***0.0010.028**0.056***
(0.007)(0.004)(0.012)(0.013)
Fis0.018***0.0050.004-0.007
(0.006)(0.004)(0.010)(0.010)
Constant0.085***0.060***0.091***
(0.006)(0.017)(0.008)
Time Effect--+-+
Individual Effect---++
Observations279279279279279
R20.0490.1840.0820.2430.312
Adjusted R20.0460.1720.0590.1370.206

Table 3

Test result of threshold effect"

门槛变量门槛性质LR10%临界值5%临界值1%临界值P
Dig单一门槛4.54815.38717.77620.6770.85
双重门槛5.75414.98715.23520.9470.80
三重门槛14.29811.28614.24322.6040.05

Table 4

Regression results of threshold effect"

门槛值区间系数t
Dig<0.3970.212**2.021
0.397≤Dig<0.4240.0560.599
0.424≤Dig<0.5450.0991.304
Dig≥0.5450.165**2.349

Table 5

Regression results of regional heterogeneity effects"

变量东部地区中西部地区
Dig0.305*0.342***
(0.179)(0.099)
Pop0.209-0.810*
(0.220)(0.413)
Fis-0.026-0.004
(0.033)(0.009)
Edu0.070***0.050***
(0.026)(0.014)
Observations117162
R20.2660.413
Adjusted R20.1220.310

Table 6

Regression results of spatial econometric models"

VARIABLESMainSpatialVarianceLR_DirectLR_IndirectLR_Total
Dig0.215***0.219***0.047*0.267***
(0.01)(0.01)(0.05)(0.00)
Pop0.0470.0420.0090.050
(0.73)(0.76)(0.81)(0.76)
Fis-0.006-0.005-0.001-0.007
(0.49)(0.54)(0.59)(0.54)
Edu0.048***0.047***0.011**0.058***
(0.00)(0.00)(0.04)(0.00)
ρ0.192***
(0.01)
sigma²ₑ0.001***
(0.00)
Observations279279279279279279
R-squared0.0760.0760.0760.0760.0760.076
Number of id313131313131

Table 7

Regression results of the mediation effect"

变量GovSer
Dig6.487***0.228***
(1.053)(0.085)
Pop4.088**0.028
(1.976)(0.149)
Edu0.0100.055***
(0.172)(0.013)
Gov0.011**
(0.005)
Fis0.222*-0.009
(0.130)(0.010)
Observations279279
R20.4740.326
Adjusted R20.3930.219

Table 8

Regression results of robustness checks"

变量Ser
Dig0.144***
(0.048)
Pop-0.039
(0.112)
Edu0.024***
(0.007)
Fis0.008
(0.005)
Fixed effect+
R20.708
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