Improve Labor Productivity Research Articles

Does Artificial Intelligence Bring to Renewable Energy Innovation？Yes, Empirical Investigation for 51 Countries?

ABSTRACT The development of high-tech industries, represented by artificial intelligence (AI), plays an important role in driving renewable energy innovation (REI). This paper analyzes the effects and mechanisms of AI on REI, using data from 51 countries from 1993 to 2019. The results show that AI can promote REI by increasing research and development (R&D) investment, improving labor productivity and institutional quality. The impact varies depending on the level and type of REI, the type of AI, the level of national income, and the extent of digital infrastructure. In addition, by constructing a spatial Durbin model, this paper also shows that AI inhibits the innovation level of neighboring countries while promoting REI at home. In view of this, countries should make full use of the advantages of AI, increase investment in R&D of AI in the field of RE, improve the efficiency of RE production and use, and establish an international cooperation framework of AI for energy innovation among countries in an effort to promote REI.

Industry spillover effects of robot applications on labor productivity: Evidence from China

This paper provides new insights into the industry spillover on labor productivity by discussing the spillover effects of robot application among industries in three spillover directions: horizontal, forward, and backward spillover. In addition, this paper measures the three spillovers with the weight matrices from the year 2012 input-output table by the Chinese National Bureau of Statistics. Using a spatial econometric model and 2000–2010 data on China's secondary industry, this paper tests three hypotheses relating to the direct effect and the spillover effects of robot applications. The main results show that the robot application of one industry can improve labor productivity significantly. Moreover, all three kinds of spillover have significant positive effects on the labor productivity of a focal industry. Among them, the forward spillover exerts the greatest impact on labor productivity. The heterogeneity effects exist due to the industry's factor intensity and technological structure etc. The findings of this study could provide several important implications for the development of a given industry and the industry chain of a country as well.

Economic Effects Assessment of Forest City Construction: Empirical Evidence from the County-Level Areas in China

Forests are both an irreplaceable natural resource and a vital economic asset for all humankind. Based on the data of counties in mainland China from 2007 to 2020, the article explores the direct impact and spatial spillover effects of the policy implementation on the economic growth of counties with the help of the forest city pilot policy and the policy evaluation model. The results reveal that policy implementation can have a positive economic growth effect on the pilot counties, which, in turn, can significantly increase the size of the county′s GDP, the level of GDP per capita, and the total amount of nighttime lighting brightness. The implementation of forest city construction can bring about 2.74% of total GDP size, about 2.63% of per capita GDP development level, and about 7.25% of nighttime light brightness to the county on average. Cost–benefit analysis also indicates that forest city construction can bring about a comprehensive economic benefit of approximately CNY 686.453 million (approximately USD 96.82 million) to the counties. The rapid improvement in labor productivity, significant influx of high-end factors, and continuous expansion of market potential are important mechanisms through which policy implementation promotes economic growth in pilot counties. While promoting economic growth in the pilot counties, forest city construction can also have positive spatial spillover effects on neighboring areas in the pilot counties. Furthermore, when the deficits in atmospheric vapor pressure and annual evapotranspiration are used as instrumental variables for forest city construction, the empirical estimates are not significantly altered. In the process of building forest cities, county governments should be wary of issues such as the high cost of forest maintenance. This study provides a Chinese model and policy reference for other countries and regions in the world to deal with the relationship between forest city construction and county economic growth.

Research on the Modular Design Method and Application of Prefabricated Residential Buildings

As one of the key ways to realize the industrialization and green development of construction, prefabricated construction is conducive to saving resources and energy and improving labor productivity and quality. Aiming to solve the problem of the lack of standardization in the design of prefabricated residential buildings, which leads to the components not being universally used and the industrial characteristics not being fully embodied, while excessive standardization leads to a lack of personalization and flexibility, the modular design theory is applied to the standardized design of prefabricated residential buildings in this study. The application route of modular design theory in the standardized design is constructed, that is, “system decomposition—module design—module combination”. Taking residential buildings within a height of 54 m as an example, each basic functional module is standardized and combined into standard plans. At the same time, the functional space module design based on modular coordination and the module combination design based on the trinity of “modulus, pattern, and mode” are discussed. This research is of great significance for giving full play to the comprehensive benefits of prefabricated concrete structures in quality improvement, cost reduction, and rapid assembly.

Production and management practices and technologies used for growing potatoes and tomatoes

Purpose. The aim of this study was to assess production and management practices and technologies used by farmers for tomato and potato production, as well as their productivity. Methodology / approach. This research was conducted in Ziway-Dugda and Tiyo districts of Arsi Zone in Oromia National Regional State of Ethiopia during 2022 cropping season. Data were collected from 400 households in 10 kebeles (local administrative unit) of both districts using Kobo toolbox from respondents through face-to-face interview and descriptive analysis using SPSS version 22. Results. The results of the study showed that farmers in the study areas used different pre-harvest practices. These include cultivation tools and methods, planting locations, tomato staking, potato hilling and irrigation practices to successfully grow vegetables and increase land productivity by rotating different crops on their land. Various diseases, weeds and insects have been observed on their farms, which were managed by cultural, agronomic, mechanical and chemical management practices on tomato and potato farms during the last cropping years in the study districts. Thus, majority farmers in the study areas have used insecticides and fungicides on tomato and potato farms; but most of the weeds were removed by hand weeding. Most tomato and potato farmers have determined the type of chemical and its use from their own previous experience, in consultation with salespeople and extension agents in their regions. However, the study results showed that there are unused production and management practices for tomato and potato cultivation by some farmers. There are many production and management practices and technologies used by farmers to improve vegetable productivity in the study areas, although some farmers did not adopt improved production and management technologies, resulting in reduced production, which requires future interventions to increase their capacity through training and technology adoption. Originality / scientific novelty. This study stands out in the field of production and management practices and technologies used by smallholder tomato and potato producers due to its innovative approach and unique contribution to existing knowledge and skills. While previous studies have examined the relationship between production and management practices and technologies in an agricultural context, particularly focusing on state farms, our study focuses on small-scale tomato and potato producers. Through our thorough case study research and interview structure, we not only deepened our understanding of production and management practices in the agricultural sector, but also provided practical recommendations for improving the efficiency and sustainability of small-scale tomato and potato producers on different farms/fields. Practical value / implications. The findings of this study can be used to develop recommendations for policy makers and researchers on how to improve labour productivity in the future Thus, the policy focuses on developing strategies for producers to adopt modern production and management practices and technologies, raising farmers’ awareness of available technologies, improving management practices and increasing crop productivity in the study area.

Sustainable paddy farming in rural Japan: Leveraging farmer integration and agricultural UAVs for synergistic solutions

For sustainable rice farming, IoT-based smart agricultural technologies are attracting worldwide attention. In particular, agricultural UAVs, which are expected to be utilized in various seasonal processes of rice farming, are a facility that is expected to spread in the future. In Japan, however, the smooth spread of UAVs has not progressed because of uncertainty about the effectiveness of their introduction. In this study, we clarify the effect of the introduction and its limitations by simulating the synergy effect between customary management improvement methods by farmers' integration and the efficiency improvement of agricultural work using UAVs, using a mountainous area in Japan as an example. The visualization of the expected increase in labor productivity provides a strong basis for future policies to promote smart agricultural technologies. The simulation model was built on the theoretical basis of the optimal route search based on the traveling salesman problem, in which the farmer's behavior of visiting farmland is considered a traveling salesman problem, and the effect of introducing UAVs was predicted using annual working hours as an evaluation index. The results showed that the introduction of UAVs could achieve a greater reduction in labor hours than the case where farmer integration alone was used to improve labor productivity without the introduction of UAVs. In other words, the combination of farmer integration and UAVs is expected to synergize. However, even when assuming reasonable UAVs performance, labor productivity improved by about 20%, and even when using high-performance UAVs assuming drastic technological innovation, labor productivity improved by only about 30%. Furthermore, as the number of farmlands to be managed increased, the effect of UAVs was expected to reach a ceiling. In other words, the results suggest an appropriate size of farmland to manage by introducing UAVs. This result is expected to be convincing material to promote the introduction of UAVs to farmers in the future and to make a practical contribution to their management plans.

What drives the corporate payoffs of using generative artificial intelligence?

Artificial Intelligence, a set of technologies that aim to replicate human cognitive functions, has seen remarkable improvements over the last decade. In particular, generative AI (GenAI), a subset of AI able to generate content tasks based on Large Language Models (LLM), has recently gained momentum. Based on an extensive analysis of generative AI use cases in large enterprises, we find that Gen AI shows strong labor productivity improvements across metrics such as throughput time, unit cost, and task effectiveness. However, the distribution of gains is asymmetric in favor of a few companies. While the current distribution of gains does not provide evidence of a power law effect, the current asymmetry reflects differences in AI resources/capabilities across companies - mainly data access, AI talent, or AI governance.

ICT adoption, commercial orientation and productivity: Understanding the digital divide in Rural China

This study investigates the impact of Chinese smallholders’ adoption of Information and Communication Technologies—the use of smartphones and computers connected to the internet—on their commercial orientation, land, and labor productivity. Commercial orientation is the share of farm output for sales in the market. We used a control function approach and a selectivity-corrected model. The study uses national survey data from rural sample households, the China Household Database, and the China Household Finance Survey and Research Center. Findings reveal that the adoption of information and communication technologies by Chinese farmers increased the commercial orientation of farming. Furthermore, adopting information and communication technologies increases land and labor productivity by about 21.3 % and 28.2 %, respectively. Farm households’ commercial orientation improved labor productivity by about 35.9 %. Heterogeneity indicates that the adoption of information and communication technologies has a more significant effect on improving productivity for young household heads and small farmers. Policymakers should establish information and communication technologies training programs, develop digital infrastructure, and promote smallholder commercial production to increase agricultural productivity.

Centralized Scheduling of Nursing Staff: A Rapid Review of the Literature.

Centralized scheduling of nursing professionals is regarded as an effective strategy for optimizing workforce allocation and mitigating critical staffing shortages. The aim of this review is to (1) determine the effect of centralized scheduling on unit productivity (ie, overtime, contract labor, and floating), time savings for managers, and staff perceptions and retention and (2) discuss current approaches in the implementation of centralized scheduling in inpatient hospital settings. This rapid review of the evidence follows methodological guidance from the Cochrane Rapid Reviews Methods Group. Four electronic bibliographic databases were searched for research published from 2013 to 2023. A total of 446 articles were identified and screened, with a total of 12 articles included. Studies and reports were included if they addressed the operational question and were conducted in an inpatient hospital within the United States. Case study reports describe improved labor productivity (ie. less overtime and less contracted labor), more consistently balanced staffing of frontline nursing professionals, less staff reassignment (ie, floating), and increased satisfaction and time savings for managers after transitioning to a centralized scheduling model. These findings were consistent with a computational, experimental study that found centralized scheduling resulted in less labor costs and fewer undesirable shifts from the frontline nurse's point of view compared to decentralized scheduling.

The heterogeneity impacts of digital transformation, human capital, and trade openness on income and labour productivity in Vietnam

Improving labor productivity and per capita income are top priorities in Vietnam’s economic policy for the next decade. This study aims to explore the heterogeneous impacts of digital transformation, human capital, and trade openness on income and labor productivity in the Vietnamese economy from 1990 to 2018. The empirical results, obtained through the quantile regression method and Bayesian inference, unequivocally demonstrate that digital transformation and trade openness significantly promote labor productivity and income improvement. Moreover, the increase in human capital unequivocally enhances income and supports the rise in labor productivity. The Granger causality test reveals a uni-directional causality running from digital transformation to income and no causal relationship between digital transformation and labor productivity. Based on these findings, we recommend that the government and businesses should invest in and develop the Internet of Things (IoT), telecommunications, and network security infrastructure. These fundamental elements affect how well and successfully the digital transformation goes. Additionally, raising the caliber of the workforce ought to be taken into account.

Why do companies adopt workforce well-being programs?*

Economic evaluations of workforce well-being programs (WWPs) typically focus on return on investment (ROI) analyses to demonstrate that WWPs generate financial savings through reduced health care costs or improved labor productivity. Although the outcomes considered by WWP evaluations should be linked to businesses’ strategies to provide policy-relevant evidence, there are not empirical studies linking companies’ stated reasons for adopting WWPs to their choice of specific programming. This study used a large convenience sample of employer survey data to empirically link companies’ stated reasons for adopting WWPs to specific program implementation choices. In so doing, it analyzed the assumption that financial savings drive the adoption of WWPs and provides evidence of the extent to which ROI expectations drive WWP adoption. Our findings provide evidence that ROI is not necessarily the main objective of companies implementing WWPs and the current state of the literature does not align the evaluation metric with true company values, strategic objectives, and characteristics.

Các nhân tố ảnh hưởng tới năng suất lao động tại các ngân hàng thương mại Việt Nam

In the context of globalization and increasingly expanding economic integration, when traditional advantages such as cheap human resources and raw material costs gradually disappear, to strengthen competitiveness and sustainable development, improving labor productivity is becoming an urgent issue for the Vietnamese economy. The banking system plays an important role, being the capital circulation circuit of the economy, however, in Vietnam currently, there is very little empirical research on labor productivity and factors affecting labor productivity within commercial banks. Therefore, the paper aims to investigate macroeconomic determinants (institutional quality, inflation, financial development, trade openness, and financial openness) and microeconomic determinants (salary and ownership) of productivity in Vietnamese commercial banks during 2014-2023. There are some main findings as follows. First, increased salaries and bonus would lead to higher productivity, especially in private-owned banks. Second, state ownership has a negative impact on productivity in commercial banks, while higher private ownership will lead to higher productivity in commercial banks. Third, macroeconomic determinants such as institutional quality, inflation, and financial developments positively impact bank productivity in the context of price stability . However, we found that the relationship between institutional quality and bank productivity is different for different types of ownership. Last, it is proved that trade openness is found to have a negative impact on bank productivity, while financial openness is a very important factor in bank productivity.

Mechanism Analysis and Response of Digital Financial Inclusion to Labor Economy based on ANN and Contribution Analysis

Abstract Given the inclusiveness of digital inclusive finance (DFI) and its complex impact mechanism on the labor economy, this study uses the characteristics of adaptive and self-learning ability of artificial neural network (ANN) to simulate the process of delivering stimuli to nerve cells in the human brain through linear weighted summarization and functional mapping, and implement the optimization learning algorithm to adjust the weights in the network structure, thus completing the hierarchical analysis of index weight. At the same time, the neural network structure is used to approach the greatest extent and Garson algorithm is used for sensitivity analysis. We use data on the labor economy and digital financial inclusion in Heilongjiang, Jilin, and Liaoning provinces in China from 2011 to 2021 as a training dataset. The study found that (1) the indexes of DFI have different importance to the indexes of labor economy, among which the most important are the number and amount of insurance per capita and the proportion of the number and amount paid by digital technology, which have a normalized importance of 100 and 99.3%, further, R-square coverage is above 0.95, respectively, for labor economy indicators; (2) For different subdivided indicators, the indexes of DFI determine different significance. This study employs tools and policies related to DFI to address labor economy challenges, so as to promote the overall economic construction. This study studies the response and transmission mechanism of the concept of DFI to the labor economy, and explores the labor economy problems such as improving labor productivity and labor mismatch in the economy under its “inclusive” principle. Compared with the traditional weight analysis, it is closer to the real situation and has a stronger ability to fit the reality. In the future, the model could be rebased and measured against absolute indicators and a wider dataset could be adopted for extension to more areas.

Impact of connected dispensing technology with advanced analytics in a multicenter health system.

In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time. This study was designed to evaluate the impact of enterprise inventory optimization (EIO) technology and analytics on pharmacy labor, costs, and medication availability within a large integrated delivery network (IDN). This article describes a mixed-methods, postmarket observational study assessing the impact of a solution of disparate technologies including automated dispensing cabinets (ADCs), centralized pharmacy inventory software, and controlled substance vaults connected by an inventory optimization analytics (IOA) tool. Four study modules were implemented over a 10-month period. The intervention consisted of implementation of the IOA software, linking the disparate automated technologies. Transactional data was collected and aggregated with user perception survey data in both the pre- and postintervention periods. Descriptive and comparative statistical testing was used to assess outcomes. A total of 11 facilities with bed counts ranging between 22 and 908 beds were included in this study. At an enterprise level, users were able to complete an average of 2.8 times more periodic automated replenishment (PAR) level changes post intervention, resulting in an estimated enterprise labor avoidance of over 1 full-time equivalent (2,099 labor hours) annually. Despite an enterprise decision to increase ADC inventory on hand from a 3-day supply to a 5-day supply, 5 sites (45%) had a decrease in total inventory, while 9 sites (82%) saw a decrease in ADC inventory costs. Additionally, 7 sites (64%) saw a reduction in the ADC stockout percentage and all 11 sites (100%) saw a decrease in the central pharmacy stockout percentage post intervention. Integration and optimization of connected inventory management technology was observed to have positive impacts on improving labor productivity, reducing ADC inventory carrying costs, and increasing medication availability.

The Urban-rural Income Gap, Urbanization, the Upgrading of Industrial Structure, and Agricultural Labor Productivity

Agricultural labor productivity reflects the relationship between labor factor input and economy in the agricultural industry, and improving agricultural labor productivity is an important way to achieve agricultural modernization and high-quality agricultural development. Based on the VAR model and Granger causality test, this paper conducts an empirical analysis of the impact of urban-rural income gap, urbanization, industrial structure upgrading, and agricultural labor productivity in China from 1981 to 2020, and concludes that there is a long-term cointegration relationship between urban and rural income gap, urbanization and industrial structure upgrading and agricultural labor productivity. In the long run, the urban-rural income gap and industrial structure upgrading have a positive impact on agricultural labor productivity. Urbanization has a negative impact on the improvement of agricultural labor productivity, so relevant suggestions are given.

Clean, competitive, and productive? The impact of environment‐friendly technologies on exporting and productivity of the manufacturing companies in Belarus

AbstractThe impact of trade on the environment is a big concern, with increasing focus on the role of international trade in climate change. This study explores the bidirectional relationships between export intensity, adoption of environmentally friendly measures, and productivity using the firm‐level data from Belarus. It aims to answer whether exporting enterprises are more environmentally oriented and whether the application of cleaner technologies brings productivity improvement and increases the export intensity of an enterprise. We estimate a system of structural equations using three‐stage least squares in which export intensity, adoption of environmentally friendly measures, and productivity are by design treated as endogenous. The findings show that when a company adopts one more environmentally friendly measure, it increases its export intensity by 4.4%–4.6%. Adoption of cleaner technologies improves labor productivity in a company by 20.7%, but it is negatively associated with its resource productivity (a 1.9% decrease), which results in the neutral effect on the total productivity.

Service opening and wages of manufacturing firms: Evidence from China

Based on the ‘Catalogue for the Guidance of Foreign Investment’ and the input-output table issued by the National Bureau of Statistics, this paper constructs the service opening index from 1998 to 2013. With this indicator, we empirically study the impact of the service industry opening-up on firm wage. Our research yields a few findings. First, the service industry opening-up can significantly improve the level of firm wage. This result is still significantly valid after various robustness test and endogenous treatment. Moreover, after segmenting upstream service sources into details, the opening-up of the finance, telecommunication, and sales service sectors can promote the growth of firm wage. Second, the heterogeneity analysis shows that the service industry opening-up exerts a greater impact on firms' wage for firms in the central and western regions rather than eastern region, and for firms in the “post rich” regions rather than “pre-rich” regions, as well as firms in more severe market segmentation rather than regions with less market segmentation. Finally, according to the analysis of the impact mechanism, the opening-up of the service industry mainly promote firm wage through three channels: improving labor productivity, operating income, and human capital. Furthermore, the analysis of technical differences in service input displays that the service industry opening-up exerts a greater impact on firms' wage for firms in high-tech service industry. The analysis of labor income distribution shows that the opening-up of the service industry can also significantly increase the share of labor income of firm, especially in the opening-up of finance, telecommunication, and sales service industry.

Efficiency and productivity gains of robotic surgery: The case of the English National Health Service.

This paper examines the effect of new medical technology (robotic surgery) on efficiency gains and productivity changes for surgical treatment in patients with prostate cancer from the perspective of a public health sector organization. In particular, we consider three interrelated surgical technologies within the English National Health System: robotic, laparoscopic and open radical prostatectomy. Robotic and laparoscopic techniques are minimally invasive procedures with similar clinical benefits. While the clinical benefits in adopting robotic surgery over laparoscopic intervention are unproven, it requires a high initial investment cost and carries high on-going maintenance costs. Using data from Hospital Episode Statistics for the period 2000-2018, we observe growing volumes of prostatectomies over time, mostly driven by an increase in robotic-assisted surgeries, and further analyze whether hospital providers that adopted a robot see improved measures of throughput. We then quantify changes in total factor and labor productivity arising from the use of this technology. We examine the impact of robotic adoption on efficiency gains employing a staggered difference-in-difference estimator and find evidence of a 50% reduction in length of stay (LoS), 49% decrease in post-LoS and 44% and 46% decrease in postoperative visits after 1year and 2years, respectively. Productivity analysis shows the growth in radical prostatectomy volume is sustained with a relatively stable number of urology surgeons. The robotic technique increases total production at the hospital level between 21% and 26%, coupled with a 29% improvement in labor productivity. These benefits lend some, but not overwhelming support for the large-scale hospital investments in such costly technology.

Impact of industrial robot on labour productivity: Empirical study based on industry panel data

This empirical analysis explores the impact of industrial robots on labour productivity using panel data of 17 Chinese industries from 2006 to 2021. The results reveal that the development of industrial robots significantly improves labour productivity; a series of robustness tests validate this outcome. However, the impact of industrial robots on labour productivity varies across industry types. The influence coefficient of the low-density robotics industry is larger than that of the high-density robotics industry. Furthermore, although the scale of industrial robot usage before 2012 was smaller than that after 2012, its effect on labour productivity was more significant. Our findings indicate the possibility of diminishing marginal effect of industrial robots in promoting labour productivity. The mechanism analysis demonstrates that human capital level has a complete intermediating effect between industrial robots and labour productivity. Thus, industrial robot applications can contribute to labour productivity by optimising human capital structure. These findings provide crucial insights for governments and policy makers to improve labour productivity and economic growth.

The Effect of Nutrients on Subjective Accomplishment at Work: Results from a Health Survey and a Single-Arm Dietary Intervention Study.

In Japan, many workers are exposed to chronic stress, sleep deprivation, and nutritional imbalance. They tend still to go to work when ill, leading to decreased work performance and productivity, which has become a major social problem. We conducted a human entry study with the aim of finding a link between these two factors and proposing an optimized diet, believing that a review of diet may lead to an improvement in labor productivity. In this study, we used subjective accomplishment (SA) as a measure of productivity. First, we compared nutrient intake between groups with high and low SA using data from a health survey of 1564 healthy male and female adults. Significant differences were found in the intake of 13 nutrients in males and 15 nutrients in females, including potassium, vitamin A, insoluble fiber, and biotin. Recommended daily intake of these nutrients was determined from survey data. Next, we designed test meals containing sufficient amounts of 17 nutrients and conducted a single-arm intervention study (registration code UMIN000047054) in Kameyama City, Mie Prefecture, Japan. Healthy working adults (males and females aged 20-79 years) were recruited and supplied with test meals, which were eaten once a day 5 days a week for 8 weeks. SA was significantly higher and daytime sleepiness (DS) was significantly lower after lunch on workdays in younger participants (under 60 years) when they ate the test meals as breakfast or lunch. Our results suggest that SA and DS, which change daily, are strongly influenced by the meal eaten before work, and that taking the 17 nutrients may help prevent presenteeism and improve labor productivity.