Eastern Region Research Articles

Social and economic importance of new bamboo species established in three municipalities of the North Eastern Mountain range of Puebla, Mexico

The study was conducted in three municipalities of Puebia, Mexico. The objectives were to identify the species of bamboo in the North Eastern region of Puebla, know the climatic conditions and agronomic systems where it grows, characterize the socioeconomic situation of the producers, and identify the contribution to the family economy. A review of the history of cultivation in Mexico was carried out at the National Herbarium of Mexico (MEXU). For the collection of information, it was considered that the bamboo system was within the local agricultural system and selection of municipalities was based on the productive relationship of the crop and the introduction of species in the area. Sixty-four surveys were done of bamboo producers through the questionnaire with social, economic, and productive variables related to the bamboo production system. In the Puebla’s North Eastern Mountain range there are two new species of bamboo, Bambusa oldhamii and Guadua angustifolia, both with different characteristics of uses and established in two production systems, the commercial and family system. At present they have a low commercialization of some bamboo derivatives and little use as food. The region is considered one of extreme proverty. The two species have a high potential for environmental adaptation agronomically they are developed as a single crop in backyards and used in various commercial activities. The lack of use of the crop in the region and its rapid natural expansion due to the environmental conditions for its growth, induces the tendency to consider it as an undesirable plant

The intermediate role of farmland transfer in the impact of digital financial inclusion on agricultural total factor productivity in China

IntroductionEnhancing agricultural productivity and promoting sustainable development in China are critical priorities, given their significant contribution to food security and rural development. However, achieving consistent agricultural productivity growth across regions and sectors has been challenging, leading to inefficiencies and environmental pressures. To address this, the potential of digital inclusive finance (DIF) as a catalyst for progress has been explored.MethodsThis study investigates the impact of DIF on agricultural total factor productivity (ATFP) through farmland transfer, with implications for rural revitalization and high-quality agricultural development. Using the HMB index method, we calculate and decompose China’s inter-provincial ATFP from 2011 to 2020. Employing the dynamic panel fixed effect model and SYS-GMM method, we empirically test the influence of DIF on agricultural productivity in relation to farmland transfer.Results and discussionOur findings reveal a slow upward trend in China’s ATFP, driven primarily by scale efficiency. Notably, a 1% increase in the general index of DIF correlates with a 0.136% increase in ATFP. We analyze the sub-classification indexes of digital inclusive finance, namely coverage breadth, depth of use, and digitalization degree. Their contributions to agricultural productivity growth are significant, with coverage breadth having the greatest impact, followed by depth of use and digitalization degree. Farmland transfer acts as a crucial intermediary, enhancing agricultural allocation efficiency and driving the relationship between digital finance and total factor productivity growth. Interestingly, the western region exhibits the highest growth rates, followed by the eastern region, while the central region shows no significant effects.ConclusionTo comprehensively enhance ATFP, aligning supply and demand for digital financial services, leveraging service depth, and guiding farmland transfer according to local conditions are essential. These findings offer valuable insights into effective strategies for maximizing the potential of DIF, promoting rural development, and achieving sustainable agricultural growth.

Application of ML- based approach for co-seismic landslides susceptibility mapping and identification of important controlling factors in eastern Himalayan region

Application of ML- based approach for co-seismic landslides susceptibility mapping and identification of important controlling factors in eastern Himalayan region

Evaluating Hydrologic Model Performance for Characterizing Streamflow Drought in the Conterminous United States

Hydrologic models are the primary tools that are used to simulate streamflow drought and assess impacts. However, there is little consensus about how to evaluate the performance of these models, especially as hydrologic modeling moves toward larger spatial domains. This paper presents a comprehensive multi-objective approach to systematically evaluating the critical features in streamflow drought simulations performed by two widely used hydrological models. The evaluation approach captures how well a model classifies observed periods of drought and non-drought, quantifies error components during periods of drought, and assesses the models’ simulations of drought severity, duration, and intensity. We apply this approach at 4662 U.S. Geological Survey streamflow gages covering a wide range of hydrologic conditions across the conterminous U.S. from 1985 to 2016 to evaluate streamflow drought using two national-scale hydrologic models: the National Water Model (NWM) and the National Hydrologic Model (NHM); therefore, a benchmark against which to evaluate additional models is provided. Using this approach, we find that generally the NWM better simulates the timing of flows during drought, while the NHM better simulates the magnitude of flows during drought. Both models performed better in wetter eastern regions than in drier western regions. Finally, each model showed increased error when simulating the most severe drought events.

Cultivated Land Quality Assessment and Obstacle Factors Diagnosis in Changtu County, Northeast China

ABSTRACTEffective evaluation of cultivated land quality is crucial for sustainable agricultural management. Existing research often focuses on regional scales and lacks sufficient detailed analysis of spatial distribution and limiting factors at localized scales. This study aims to select the key indicators to evaluate cultivated land quality and analyze their influence on cultivated land quality at the county level. Taking Changtu County as the research area, principal component analysis (PCA) was employed to identify the most effective Minimum Data Set (MDS) for evaluation, including cultivated layer thickness, soil organic matter (SOM), pH, bulk density (BD), and cultivated layer texture. Additionally, an obstacle degree model was used to analyze restricting factors and their degrees of impact. Results showed that the constructed MDS could replace all indicators for cultivated land quality evaluation. Quality was higher in central areas and lower in eastern and western regions. SOM content decreases with the decrease of quality grade, significantly affecting the quality distribution, and pH in the medium category (Grades III and VI) cultivated lands were lower compared to other categories. Low organic matter content and low pH levels were the main obstacles affecting cultivated land quality, with average obstacle degrees of 43.5% and 29.3%, respectively. Low SOM content significantly affected land quality, particularly in the western region, whereas acidic soils in the eastern region influenced quality grade distribution. Thus, strategies for pH control and SOM enhancement are essential for improving cultivated land quality. This study provides valuable insights into sustainable agriculture.

Research on the mechanism and path of the coupling of digital technology and environmental regulation to promote urban green efficiency

Digital technology, renowned for its embeddedness and integration, revolutionizes governance ideas, institutions, and models. Based on the panel data of 285 cities in China from 2007 to 2021, a panel vector autoregressive model (PVaR) is built to reveal the interaction mechanism between digital technology and environmental regulation. The fixed-effects panel model explored the green impact of the coupling of digital technology and environmental regulation, considering the mediating role of industrial upgrading, factor allocation, and public participation. The results show that digital technology and environmental regulation promote each other. The coupling of digital technology and environmental regulation enhances urban green efficiency, especially in economically advanced and eastern regions. Industrial upgrading, factor allocation, and public participation mediate this effect. Therefore, government departments should build ecological civilization by improving environmental management decision-making, promoting the deep integration of digital technology and environmental regulation, and exploring a new path of urban green development.

Multi-targets cleavage of BmNPV genome through genome-wide repeat sequence using CRISPR/Cas9 antiviral system.

The escalating severity of Bombyx mori nuclear polyhedrosis virus (BmNPV) infections poses significant challenges to the silkworm industry, especially when massive production shifts occur from the eastern regions to western regions with lower labor costs. Education and experience levels are different and disease control is badly needed. To solve the problems, we have developed an innovative CRISPR/Cas9 system specifically targeting BmNPV to enhance viral resistance. For the system, we selected BmNPV genes linked to virus replication and proliferation as targets, designing 2 sites for each gene. Mutating the target sequence renders the system incapable of efficiently cleaving the virus genome, hence decreasing cleavage efficiency. We conducted a search for "NGG" or "CCN" target sequences in the BmNPV genome, excluding non-recurring and potential targets in the B.mori genome. We successfully identified 2 distinct target sequences in the BmNPV genome-one being repeated 12 times and the other three times. These sequences lead to fragmentation of virus genome into multiple large segments that are difficult to repair. Transgenic silkworms demonstrate robust resistance to viruses, significantly boosting their survival rates compared with wild-type silkworms under various virus infection concentrations. Our system efficiently targets dozens of viral genomes with just 2 sequences, minimizing transposable elements while ensuring cutting effectiveness. This marks a pioneering advancement by using repetitive elements within the virus genome for targeted CRISPR cleavage, aiming for antiviral effects through genome fragmentation rather than disrupting essential viral genes. Our research introduces innovative concepts to CRISPR antiviral investigations and shows promise for the practical application of gene editing in industrial silkworm strains.

Phytochemical composition analysis, antioxidant, antimitotic, and anti-inflammatory effects of leaf and stem extracts of Pistacia lentiscus L

ABSTRACT This study explored the phytochemical composition, antioxidant properties, anti-germinative effects, and anti-inflammatory actions of methanolic leaf extracts (MLE) and methanolic stem extracts (MSE) derived from Pistacia lentiscus L. species native to the eastern region of Morocco. Using Ultra-high-performance liquid chromatography (UHPLC),16 and 17 components were discovered inMLE and MSE, respectively, with Epigallocatechin being the most prevalent in both extracts. Polyphenols and flavonoids were found to be more abundant in MLE. Furthermore, DPPH assays revealed that it had a higher free radical scavenging activity (IC50 = 37.5 mg/L) compared to ascorbic acid while ferric-reducing power tests showed that MSE had a greater potency (IC50 = 86.14 mg/L) than MLE. Both MLE and MSE inhibited sorghum seed germination in a dose-dependent manner, with MSE being slightly more effective. Mitotic index determination revealed that both extracts had concentration-dependent antimitotic effects, with MSE showing similarity to colchicine, indicating its potential as an antimitotic agent. In vitro, anti-inflammatory assays showed that it had similar properties to indomethacin in protein denaturation and membrane stabilization, while MLE displayed distinct characteristics. Furthermore, in a carrageenan-induced rat model, both extracts demonstrated anti-inflammatory potential, with MSE showing a trend of slightly better efficacy. These results highlight the importance of further investigation into MSE’s potential as an anti-inflammatory and antimitotic agent.

Data-driven effects of human activities and environmental factors on inland aquatic dissolved organic matter in China: Insights from machine learning

Aquatic DOM, a major carbon pool in inland waters, plays a key role in the global carbon cycle and is influenced by human activities and environmental factors. While watershed surveys have identified some drivers of aquatic DOM changes, national-scale knowledge remains limited. Spectral monitoring data from 721 aquatic DOMs in inland China were collected to predict and quantify the spectral properties of aquatic DOMs and the coupled effects of human activities and environmental factors by complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), random forest (RF) and structural equation modeling (SEM). Our results show that the dataset is relatively evenly distributed in terms of flow regimes, and the data are adequately representative of various types of water in China. Although the performance of CEEMDAN is affected by the skewed distribution of data sampling points (453 and 449 for eastern regions and eutrophic waters, respectively), CEEMDAN effectively processes the spatial sequences of aquatic DOM spectra, which significantly improves the reliability of the machine learning model (by 13%–68%) and reduces the error (by 63%–92%). CEEMDAN-RF and SEM results indicate that longitude and latitude are the most important environmental factors affecting the spectral properties of aquatic DOM through temperature, light and land cover differences, reducing the biogenic properties of aquatic DOM. Unlike observations in small watersheds and estuaries, environmental factors of season, precipitation and salinity have weak effects on aquatic DOM. Furthermore, the biogenic character of aquatic DOM is enhanced by urban human activities, represented by urbanization, population, and impervious land fraction, which have long-lasting and strong impacts on aquatic DOM by driving water eutrophication and enhancing phytoplankton and microbial activity. Our study informs the prediction and quantification of coupled environmental and anthropogenic impacts on aquatic DOM at large scales.

Identifying the antecedents for the green transformation of resource-exhausted cities in China

To address the issue of green transformation in resource-exhausted cities, this study employs the Policy Modeling Consistency (PMC) index model to carry out a comprehensive analysis of the effectiveness of support policies execution at both central and local levels, covering 16 policies at the different administrative levels. Meanwhile, utilizing the fuzzy-set Qualitative Comparative Analysis (fsQCA) method, the study investigates the interaction mechanisms and effects of various internal and external factors in the context of policy coordination, from the perspective of green transformation condition configurations. The findings reveal that the overall effect of supporting policies for resource-exhausted cities in China is generally commendable. Moreover, there is a notable characteristic that “the lower the administrative level, the higher the quality of the support policies”. Notably, organizational, technological, environmental, and policy conditions alone cannot solely facilitate the green transition of resource-exhausted cities. Instead, it is the harmonious configuration of these antecedents that drives successful green transformation. Additionally, the configuration of antecedent conditions for green transformation exhibits the heterogeneity of different types. Specifically, the eastern region primarily relies on technological innovation and production process improvement, while the central region focuses on both production process improvement and support policy combinations. By contrast, the western region primarily emphasizes support policy combinations and the fostering of environmental conditions. Furthermore, the green transformation of resource-exhausted cities with coal and oil types mainly depends on the combination of policy support and technological innovation. Metal, forestry, and other types of resource-exhausted cities rely on the upgrading and advancement of industrial structures. In the grouped analysis of administrative level, innovation capability, and distance to the provincial capital city, cities with higher administrative levels, higher innovation capabilities, and closer proximity to the provincial capital city are more likely to achieve green transformation. Thereby, this study emphasizes the critical role of support policies and the identification of effective pathways in promoting the green transformation of resource-exhausted cities.

Interplay between Network Position and Knowledge Production of Cities in China Based on Patent Measurement

The urban knowledge network in China has undergone in-depth development in recent decades, intimately connecting the position characteristics of cities in the knowledge network to their knowledge production performance. While existing research focuses predominantly on the unidirectional relationship between network position and the knowledge production of cities, there is a notable dearth of studies exploring the bidirectional relationship between the two constructs. By proposing a conceptual framework, this paper empirically examines the interplay between network position and knowledge production of cities through simultaneous equation models. The results revealed a mutually reinforcing relationship between network position and knowledge production, and this relationship exhibits heterogeneous characteristics and spillover effects. Specifically, cities in the periphery block and the central-western region benefit more from the effect of network position on knowledge production, while cities in the core block and the eastern region benefit more from the effect of knowledge production on network position. Moreover, the interactive effect between network position and knowledge production of cities is significantly affected by the network position characteristics and knowledge production performance of their neighboring cities in geographically adjacent regions and relationally adjacent regions. These findings enhance the understanding of urban network externalities and the connotations of the knowledge production function.

Prescribing Hydroxyurea in Sickle Cell Disease Patients: The Pattern and Association with Co-Prescribed Medications Used to Manage the Disease Complications.

Background and Objectives: Hydroxyurea (HU) is an effective medication used to reduce the frequency of painful crises associated with sickle cell disease (SCD). However, data describing its prevalence among SCD patients in the Eastern Region of Saudi Arabia are scarce. This is a multi-center, retrospective, cross-sectional study that aims to investigate the pattern of prescribing HU in SCD patients and to determine the association between prescribing HU and other co-prescribed medications used to manage SCD complications. Methods: Data were collected from patients who visited the hematology clinics of Al-Qatif Central Hospital (QCH) and King Fahad Hospital in Hofuf (KFHH) between June 2021 to May 2023. The data included demographics, prescribed medications, and recent laboratory test results, all of which were collected from patients' medical records. Descriptive statistics were utilized to assess the difference between HU users vs. non-users. A binary logistic regression model was used to determine the association between prescribing HU and co-prescribed medications used to manage SCD complications. The results are presented as the odds ratio (OR) and 95% confidence interval (95% CI). Results: This study included 2816 SCD patients with a 56% prevalence of HU prescription. HU was prescribed for young age groups more often compared to old age group patients. Young males were more likely to be prescribed with HU compared to females, and it becomes dominant in females after the age of 36. HU users were more likely to have paracetamol (69% vs. 53%, OR = 1.9, 95% CI 1.6-2.2), NSAIDs (50% vs. 35%, OR = 1.7, 95% CI 1.5-2), and opioids (41% vs. 37%, OR = 1.3, 95% CI 1.1-1.6) co-prescribed, and less often to have laxatives (8% vs. 5%, OR = 0.66, 95% CI 0.48-0.9) and anticoagulants (22% vs. 15%, OR = 0.56, 95% CI 0.46-0.68) co-prescribed compared to non-users. Conclusions: The pattern of prescribing HU, supported by the association findings, raises concerns about patients' compliance and adherence to HU therapy. Early health education, specifically to young female SCD patients, is warranted to increase the success rate of HU therapy.

Impact of fiscal policy shocks on health outcomes in Sub-Saharan Africa: A panel structural VAR approach

This study investigates the impact of fiscal policy shocks on health outcomes in Sub-Saharan Africa (SSA). It is motivated by health systems’ increasing reliance on public funding despite growing macroeconomic uncertainties. This study adopts a regional analysis, sampling five countries with the highest per capita public health expenditure from the Central, Eastern, Southern, and Western African regions. The study employs the panel structural vector autoregression technique and expresses health outcomes as a function of fiscal policy and private health expenditure shocks. The results suggest that fiscal policy shock significantly and positively affects health outcomes in Central and Western Africa. However, health outcomes are resilient to fiscal policy shock in Eastern and Southern regions and to private health expenditure shock in all regions. The study indicates that achieving sustainable improvement in health outcomes in SSA would require policies designed to expand health financing options beyond the traditional public and private funding arrangements.

Reducing Carbon emissions through pipelines? Evidence from the West-East Gas Pipeline Project

ABSTRACT Transregional energy transmission can help balance resource allocation and serve long-term regional interests. The West–East Gas Pipeline Project (WEGPP), which is the longest natural gas pipeline in China, aims to address the serious imbalance between natural gas supply and demand in China’s eastern and western regions. Few studies have considered WEGPP’s effect on carbon emissions in terms of energy transmission. Using data for prefecture-level cities from 2000 to 2019, we consider WEGPP as a quasi-natural experiment and adopt a staggered difference-in-differences model to investigate the causal effect of energy transmission on carbon emissions. We find that WEGPP can reduce carbon emissions; various robustness tests confirm the reliability of the results. However, the emission-reduction effect is heterogeneous owing to factors such as operation batch, location, administrative level, population size, resource endowment, industrial level, and whether a city belongs to an old industrial base. We also reveal three important channels for WEGPP’s emission-reduction effect: environmental concern of the government, industrial agglomeration, and green technological innovation. This study provides a reference for assessing the feasibility and effectiveness of energy transmission in the context of emission reduction.

Adapting East and Southern Africa’s livestock to climate change: a decision making under deep uncertainty-based approach for effective actions

ABSTRACT Livestock farmers are increasingly challenged to adapt to the impacts of climate change, necessitating the selection of adaptation strategies to effectively mitigate risks and protect livelihoods. This paper introduces a framework designed specifically for guiding the selection of context-specific adaptation options in the Eastern and Southern Africa region. The framework builds on a decision tree that incorporates changes within a management system or switching to another one, enabling a nuanced evaluation of adaptation options. Driven repetitively under different scenarios of climate changes and/or climate models, the frequencies of selecting different adaptation measures vary across livestock value chains, climate zones, and systems. Responding to the evolution of the climate system, these frequencies evolve over time, affecting the selection. For instance, agroforestry emerges as an increasingly suitable option for cattle and, to a lesser extent, for goats due to the projected rise in moderate heat stress periods, particularly in tropical climates. Conversely, this frequency decreases for sheep, more susceptible to heat stress, beyond the effect of agroforestry. This framework resolves the need for more context – and time-specific decisions on adaptation. This decision tree-based framework serves as a robust decision-making tool to steer the livestock sector toward effective climate change adaptation.

Temporal and Spatial Dynamics of Subsidence in Eastern Jharia, India

Abstract. Jharia, one of the oldest and most significant mining areas, is facing the issue of subsidence for different reasons, such as coal fires, underground mining, and soil sensitivity towards seasonal change. This paper concentrates on the subsidence analysis of the Eastern region of the Jharia Coalfield from January 2018 to January 2021. Sentinal-1 SLC SAR imagery is used for multi-image sparse point processing and generating time series. Data processing is done using SARPROZ software. Further, the PS points inside the study area are filtered, and a classification map is drawn using ArcGIS software. The yearly percentage change of different classified zones is examined. The percentage change is significant for subsiding and uplifting zones but minimal for stable zones. Different critically and highly subsiding areas are identified by overlaying the classification zones on the topographic map. The seasonal variation of cumulative displacement is also examined, and patterns are analyzed. Different regions have different sensitivity towards seasonal variation. Overall, this paper provides insightful deformation results over Eastern Jharia for 2018–2021.

Substantial trace metal input from the 2022 Hunga Tonga-Hunga Ha’apai eruption into the South Pacific

The January 2022 eruption of the Hunga Tonga-Hunga Ha’apai (HTHH) volcano discharged 2,900 teragrams of ejecta, most of which was deposited in the South Pacific Ocean. Here we investigate its impact on the biogeochemistry of the South Pacific Gyre (SPG) using samples collected during the GEOTRACES cruise GP21 in February-April 2022. Surface water neodymium isotopes and rare earth element compositions showed a marked volcanic impact in the western SPG, potentially extending to the eastern region. Increasing trace metal concentrations in surface waters and chlorophyll-a inventories in euphotic layers between the eastern and western SPG further suggest that the volcanic eruption supplied (micro)nutrients potentially stimulating a biological response. We estimate that the HTHH eruption released up to 0.16 kt of neodymium and 32 kt of iron into the SPG, which is comparable to the annual global dust-borne Nd flux and the annual dust-borne Fe flux to the entire SPG, respectively.

Morphological Characterization of Culex Quinquefasciatus (Diptera: Culicidae) Pupae in the Eastern Province of Saudi Arabia.

Over the last 30 years, several mosquito-borne diseases have spread worldwide, threatening human and animal health, including lymphatic filariasis. Lymphatic filariasis is a major public health issue in tropical regions like Saudi Arabia, caused by parasitic worms. The parasitic worms Wuchereria bancrofti and Brugia malayi are transmitted by Culex quinquefasciatus. Cx. quinquefasciatus is a potential vector for various arboviruses like encephalitis virus and West Nile virus, along with protozoa like Plasmodium relictum that cause bird malaria. With the increasing number of mosquito species, there is an increased need for additional species identification. More attention is being directed to the immature stage, specifically the pupae, due to their valuable characteristics for species identification. Cx. quinquefaciatus, one of the nine Culicine species found in Saudi Arabia, lacks a complete description of its pupal stage and only has partial descriptions of other developmental stages, making identification challenging. This study aimed to investigate the morphological characteristics of Cx. quinquefaciatus pupae, focusing on the cephalothorax, trumpet, abdomen, paddle, and genital lobes, as well as the distribution and arrangement of setal branching and chaetotaxy. The pupae were collected from Qaryat Al Ulya Governorate, Eastern region, KSA, and maintained in a Biology Laboratory at the University of Hafr Al Batin from September to October 2022. The findings of this study have provided the essential characteristics regarding the distinguishing features of Cx. quinquefaciatus pupae to distinguish it from other closely related species. This identification could assist field entomologists in enhancing their efficiency by classifying mosquitoes during virus outbreaks.

Seropositivity of chikungunya in hospital setting, India: A systematic review and meta-analysis

Backround: Information about the chikungunya disease burden by age groups and geographic distribution is necessary to guide appropriate control measures. With this, we conducted a systematic review and meta-analysis to estimate the disease burden of chikungunya fever in India. Material and Methods: We conducted this systematic review according to the Cochrane Collaboration guidelines. We retrieved relevant articles from PubMed and a free online search. Two investigators screened titles and abstracts and extracted data from the relevant articles. Our primary outcome is the proportion of laboratory-confirmed Chikungunya fever among clinically suspected patients. We used a random effect model to estimate the pooled proportion of Chikungunya fever. Result: A total of 20 articles were included in the quantitative syntheses. The pooled proportion of laboratory-confirmed chikungunya fever from 20 studies estimated using the random effects model is 24% (95%CI: 15-34%). We found the pooled proportion in the southern region was 35% (95%CI: 4-66%), 28% (95%CI: 3-58%) in the western region, 24% (95%CI: 1-48%) in the eastern region, 20% (95%CI: 12-29%) in the northern region, and 4% (95%CI: 1-6%) in North-eastern region. Conclusion: This review emphasizes the need to strengthen the surveillance of disease burden using multiple diagnostic tests and the need for an appropriate molecular diagnostic for early detection of the chikungunya virus.

The impact of digital industrialization and industrial digitalization on regional green innovation efficiency in China -From the perspective of the innovation value chain

To systematically detect the influence of digital economy on regional green innovation, this study regards regional green innovation as a two-stage sequential process, and constructs a network SBM model to evaluate the overall and stage green innovation efficiency of 30 provinces in China from 2011 to 2020. Digital economy development is decomposed into digital industrialization and industrial digitalization, and an empirical study based on fixed effects regression model of panel data is conducted to determine their influence on the overall and stage green innovation efficiency. The results suggest the following: (1) The overall efficiency in China remained at a low level, with the efficiency of research and development being slightly higher than that of achievement transformation. (2) From the national perspective, there is no discernible effect of digital industrialization on overall efficiency, but there is a negative impact on research and development and a significant positive impact on achievement transformation. Industrial digitalization significantly improves achievement transformation and overall efficiency but has no discernible effect on the research and development stage. (3) In the eastern region, industrial digitalization promotes the improvement of both stages and overall efficiency, while digital industrialization does not have a significant impact. In the central region, digital industrialization and industrial digitalization have significant positive impacts on both overall efficiency and the efficiency of achievement transformation but have no impact on research and development. In the western region, digital industrialization inhibits the overall and achievement transformation efficiency, and industrial digitalization does not have significant impact on the overall efficiency or the efficiency of each stage. Finally, some relevant policy recommendations are proposed.