Labor Input Research Articles

Does agricultural intensification pay in the context of structural transformation?

Modern inputs and mechanization are promoted across Africa to raise smallholder labor productivity and broker the structural transformation. Yet, adoption has remained low and the implications for returns to labor and labor allocation remain poorly understood. This paper explores the effects of different intensification packages on farm performance, market orientation, and food security using data from lowland rice farmers in Côte d'Ivoire. Employing a multinomial treatment effect model, the findings reveal that intensification increases land and labor productivity, especially when agro-chemicals and mechanized land preparation are combined. Returns to labor more than triple, inducing greater market orientation as well as greater food security. This opens opportunities to productively release agricultural labor for other activities (on and off the farm). Labor in rice production becomes more waged and slightly more male, but child labor input does not decrease. The findings call for greater attention to labor productivity and confirm that agricultural intensification can pay and enhance rural transformation.

Productivity Shock and Labour Input: Evidence from Correlated Unobserved Component Model

This note assesses the relationship between labour productivity and employment in the framework of the unobserved component model as well as the vector autoregressive model. In the case of the organized/formal manufacturing sector in India, the transitory increase in productivity is seen to reduce the man-days in the short run, though it is not statistically significant. Permanent shock to productivity decreases labour inputs permanently, and vice versa and their association is also statistically significant. Incentivizing the firms to expand their activities, diversify production and process secondary products may help restore employment in the face of a permanent productivity shock. JEL Classification: C11, C32, E32

Hatchery capacity needed to support large‐scale Atlantic surfclam fishery enhancement

AbstractFishery enhancement methods are being explored globally to sustain commercial and recreational fisheries through improving the productivity and management of marine populations impacted by anthropogenic stressors. It is expected that access to important Atlantic surfclam fishing grounds will be limited or lost due to growing overlap with offshore wind energy development. This study explores the economic viability of large‐scale hatchery production to improve fishery access and potentially offset additional costs, reduced revenues and potential job losses associated with the displacement of the fishing fleet. Reports and primary literature were used to understand the growth and survival of Atlantic surfclams in hatchery and nursery settings to calculate the scale of hatchery efforts needed to support one million (1M) bushels of fishery‐sized clams (>120 mm). Data on labour, energy, construction and material inputs and costs for hatchery and nursery production were gathered by analysing available literature and information provided by hatchery managers, researchers and others knowledgeable about shellfish hatchery production. A techno‐economic cost model and Monte Carlo analyses were employed to explore average costs and their variability. This study suggests that 374M–2.1B Atlantic surfclams are needed at the end of the hatchery stage to produce 1M bushels of market‐sized product. Total production costs range from $3.7 to $15.1M, including $2.9–$13.3M in hatchery costs and $800K–$1.9M in nursery costs. Under current market conditions, where Atlantic surfclams regularly sell for $14–$17/bushel, this analysis suggests that hatchery production could be considered a viable fishery enhancement method that supports human access to the fishery, though several additional questions remain.

The Effect of Government Subsidies on Innovation Capability of the New Energy Vehicle Industry

Countries all over the world are paying attention to the growth of the new energy vehicle industry and implementing various subsidy policies to stimulate industry development to enhance the new energy vehicle industry’s innovative capability. This study uses a network DEA model to analyze China’s new energy vehicle industry’s technological innovation capability, decomposing it into two stages: technology development and innovation transformation, and calculating the innovation capability level of China’s new energy vehicle industry from 2012 to 2017. The findings show that due to a disconnect between the efficiency of the technology development stage and the efficiency of the innovation transformation stage, innovation technology cannot serve business operations, resulting in China’s new energy vehicle industry’s overall low level of innovation capability. Based on this, an IT3SLS analysis of the factors influencing innovation capability and phase-by-phase efficiency reveals that while China’s new energy vehicle industry’s subsidy policy has historically failed to significantly improve innovation capability, there is a complementary/substitution effect between labor input, corporate capital, and government subsidies. Based on the findings of this study, important policy recommendations are made to further develop the technological capabilities of the new energy vehicle industry in the context of China’s present new energy policy.

Did women have an industrious revolution? Women's time and work in London, 1750–1830

AbstractThis article firstly advances a methodological critique of Hans-Joachim Voth's influential study of labour input during the English industrial revolution, arguing that Voth's ingenious and potentially widely applicable method of inferring time-use from court testimony has flaws such that at least the absolute figures yielded are likely unreliable. Secondly, with the method's deficiencies in mind, this article applies a version of it to the Old Bailey court records in order to examine change in women's working time in London between the 1750s and 1830. Results include that women in London did not observe Saint Monday even in the 1750s, and that the time that women in London spent in paid work increased only slightly between the 1750s and 1830.

Labour‐saving automation: A direct measure of occupational exposure

AbstractThis article represents one of the first attempts at building a direct measure of occupational exposure to robotic labour‐saving technologies. After identifying robotic and labour‐saving robotic patents, the underlying 4‐digit CPC (Cooperative Patent Classification) code definitions, together with O*NET (Occupational Information Network) task descriptions, are employed to detect functions and operations which are more directed to substituting the labour input and their exposure to labour‐saving automation. This measure allows us to obtain fine‐grained information on tasks and occupations according to their text similarity ranking. Occupational exposure by wage and employment dynamics in the United States is then studied, and complemented by investigating industry and geographical penetration rates.

How Have Formal Firms Recovered From the Pandemic? Insights From Survey and Tax Administrative Data in Zambia

Abstract This paper examines how formal firms have been impacted by and recovered from the COVID-19 pandemic, by drawing on two distinct but complementary data sources. This is the first attempt to use both survey and tax administrative data to measure the impact of the pandemic in a developing country. The findings of three rounds of follow-up surveys to a standard World Bank Enterprise Survey completed immediately before the pandemic are compared to the universe of value-added tax and personal income tax returns filed by firms in Zambia. Despite substantial differences in the breadth and depth of these data sources, they show a very similar pattern. The sales of formal firms recovered from the pandemic far more strongly than their employment levels. By July 2021, both the survey and tax administrative data show that most firms experienced a complete recovery in sales, while levels of employment worsened throughout the pandemic for many firms. The tax administrative data show that even two and a half years following the start of the pandemic, employment in formal firms remained well below pre-pandemic levels. The key insight that emerges from this analysis is that formal firms appear to have adjusted their operations in a way that reduced their need for as much labor to achieve the same (or higher) level of sales. As such in response to an unprecedented shock, productivity gains within formal firms were possible through the shredding of somewhat unproductive labor inputs, which can often be more challenging in a stable setting.

Optimizing fertilizer use for sustainable food systems: an evaluation of integrated water-fertilizer system adoption among cotton farmers in China

IntroductionIn the face of escalating apprehensions surrounding food security, the sustainability of food systems, and food quality, the ingenuity of resource management strategies becomes paramount. A key component within these strategies is the enhancement of chemical fertilizer utilization, an element that bears significant weight on agricultural yields and the preservation of our environment. The emergence of Integrated Water-Fertilizer Systems (IWFS) thus presents a significant innovation in boosting the efficiency of chemical fertilizer usage, necessitating in-depth examination.MethodsUtilizing a rigorous analytical framework that combines meta-frontier production function with a Two-Stage Residual Inclusion model, this study delves into the multi-dimensional impacts of IWFS adoption on fertilizer use efficiency among cotton growers in Xinjiang, China.ResultsEmpirical evidence demonstrates that those who have adopted IWFS achieve a fertilizer use efficiency score of 0.452, markedly outstripping the mean score of 0.382 among non-adopters. Intriguingly, efficiency increases proportionately with the size of the farm, hinting at a sophisticated interplay between the adoption of technology and operational parameters.DiscussionThe research further unveils additional benefits including augmented cotton yields and diminished labor inputs among adopters. These multifaceted outcomes bear significant policy implications, highlighting the transformative potential of IWFS in promoting sustainable food systems, bolstering food security, and enhancing food quality.

Labor-saving innovations and capital structure

This paper presents evidence that labor-saving technologies positively impact a firm's financial leverage. The results are robust with two different measures of labor-saving innovations: automation and process innovations. The effects are more pronounced in firms facing greater labor input rigidity, such as firms with higher labor intensity, share of minimum wage workers, and union coverage. Our analysis suggests that labor-saving innovations reduce wage rigidity, allowing firms to increase financial leverage.

Peran Job Satisfaction Memediasi Pengaruh Work Engagement Terhadap Turnover Intention di Whiz Prime Hotel Kota Padang

This research is motivated by the fact that the turnover rate is relatively high. The purpose of this study was to determine whether there is an effect of Work engagement on Turnover Intention mediated by Job satisfaction at Whiz Prime Hotel at Padang. This research is causal associative research with a quantitative data approach, using a survey method. Employees at the Whiz Prime Hotel Padang who stayed there for more than a year make up the study's demographic. 41 participants made up the study's sample. The method of sampling is targeted sampling. Employees were given questionnaires including 41 statements, each of which had its validity and reliability examined. The method of data analysis employed in this investigation uses the Smart PLS 3.0 program. (1) There is a strong and favorable correlation between the job engagement and job satisfaction variables, according to the findings of data processing research using 41 samples that were tested for validity and reliability. (2) The impact of labor input on sales intent is negative and considerable at Whiz Prime Padang. (3) There is a negative and substantial relationship between factors measuring work satisfaction and quitting intention. (4) At Whiz Prime Hotel Padang, job satisfaction serves as a mediator between work input and sales intent, and this effect is negative and significant. According to the research, the hotel can improve employee job satisfaction and engagement in order to lower the likelihood of employee turnover in an organization. (5) It is suggested that the hotel encourage work engagement and job happiness to lessen occurrence of turnover intention in a firm because job satisfaction has the capacity to mediate elements affecting work engagement and turnover intention

Spatial-temporal pattern and influencing factors of tourism ecological security in Huangshan City

It is of important theoretical and practical value to scientifically evaluate tourism ecological security for the sustainable development of tourist cities. The study focuses on the “characteristics of the impact factors on tourism ecological security at different levels” of tourism ecological security that have been neglected in the previous literature. From the perspective of Compound Ecological systems theory, we built an evaluation index system for tourism ecological security in Huangshan City based on the Pressure-State-Impact-Economic-Environmental-Social (PSR-EES) model and used a combination of the entropy weight TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) method, traditional and spatial Markov chains, and panel quantile regression to analyze and characterize the spatial-temporal dynamics of security levels and driving factors. The results showed that (1) the level of tourism ecological security of the districts and counties in Huangshan City improved rapidly, but the difference was expanding. The level of tourism ecological security in the four counties was generally higher than that in the three districts. (2) In terms of the spatial-temporal dynamic evolutionary characteristics, the transfer of tourism ecological security in Huangshan City has its characteristics of stability and path dependence. Type transfers usually occur between adjacent levels. The lower the level of tourism ecological security, the higher the probability of upward transfer. A neighborhood background plays an important role in the process by which a higher neighborhood rank increases the probability of upward transfer. (3) Regarding the driving factors, environmental pollution and economic development have a negative inhibitory effect on tourism ecological security, and the negative effect decreases as the level of TES improves. The top three positive effects were government intervention and educational levels. The degree of regional greening and government intervention had greater positive marginal effects on lower-level areas. In contrast, tourism development, educational level, and labor input had greater positive marginal effects on areas with higher TES levels.

What are the economic impacts of short food supply chains? A local multiplier effect (LM3) evaluation

Shortening food supply chains attracts increasing support from policymakers, to improve returns to farmers and stimulate rural development. However, there is a lack of empirical evidence regarding the impacts of short food supply chains on local economies. To address this, the article quantifies the impacts of short food supply chains on local economies, using the Keynesian-based Local Multiplier 3 method (LM3), applied to a unique dataset of 122 farm businesses from five European Union countries (France, Hungary, Italy, Poland and the United Kingdom). Estimations cover 305 market chains, comprising both short and long food supply chains, in which sampled farmers participate. The results indicate that the revenues from farm production remain largely within local economies, generating a substantial multiplier effect (LM3 > 2). This effect stems from purchases of farm inputs locally including, in the first instance, hiring local labour, as well as the expenditures of local suppliers that re-spend part of their revenues within the local area. The multiplier effects of short food supply chains are similar to long food supply chain equivalents as both use largely local labour and source tradable inputs locally. In shaping food chain policy a broader set of socioeconomic benefits to local development from selling through short food supply chains should be considered.

Production cooked sausages with the addition of iodized salt

Iodine deficiency in the biosphere, mainly in the soil, leads to endemic goiter and other iodine deficiency disorders. As shown by numerous studies, this disease affects over 1 billion people in the world. Endemic goiter and much of the territory of Ukraine, including the Vinnytsia region. Presented current research study of recipes and technologies on system-cooked sausages. Currently, boiled sausage enjoys relatively high demand among the population because it is significant for most people, giving it an advantage. Innovation activity represents one of the most effective directions. It should facilitate the development of innovative activity that promotes penetration into new markets and production growth. Today, the most essential and effective innovative organizational and technical measures introduced in sausage production can be considered are the use of new recipes for manufacturing products and the installation of new equipment, which can significantly reduce the cost of manual labor and power inputs and improve product quality and reduce the share of marriage. Sausage production is seen as a thermochemical method of preserving meat products. For each type of sausage, set production process-approved technological instructions and recipes. Strict adherence to recipes, specialized instructions, and sanitary regimes is a prerequisite for obtaining high-quality links. Crucial in the production of sausages is raw. The primary raw materials are beef and pork. Occasionally, use lamb and horsemeat. Equally important is the creation of a new generation of products that have general strengthening and preventive action. The components of these products can protect the body from the harmful effects of the environment and the emergence of human diseased cells. The constant lack of iodine leads to a reduction in the synthesis and secretion of the primary thyroid hormone - thyroxine. The role of thyroid hormones in the body is extremely high, and most of the vital functions are performed by their participation. The main physiological effects of thyroid hormone are stimulating synthesis, growth, development, and differentiation of tissues. Developed products to include microorganisms that can synthesize biologically active structures (antibodies, receptors, hormones) that contribute to the removal or destruction of harmful decay and systems, thereby preventing human disease.

Cahokia's shell bead crafters and maize producers: A re-examination of the data

Cahokia, a UNESCO World Heritage site, was the largest earthen mound center in North America. Although marine shell beads and maize may seem unrelated, they are important in examining the timing and causes of Cahokia community coalescence and dissolution. The population rose rapidly around CE 1000 and both marine shell bead use and consumption of nixtamalized maize began at CE 900–1000. Shell beads were emplaced in great numbers with human burials between CE 1050 and 1150, but far fewer beads were made after that. Huge numbers of beads, bead crafting labor inputs and workshop areas were large, emphasizing bead significance. Lightning whelk shell emplacements are revealed to be associated with shell bead crafters. Based on data from a ceramic type called stumpware, I hypothesize that the use of nixtamalized maize declined quickly after CE 1100. Droughts beginning at the same time may have resulted in dietary stress. Data on burial groupings—both with and without shell artifacts—in Mound 72 and Wilson Mound are examined. I suggest that matriarchal, elite bead crafting kin groups were interred in both mounds, providing evidence of elite bead crafting kin groups, and that around CE 1150 a rebellion ended elite producers of materials goods. Internecine conflict is also evidenced by the burning of a maize processing compound between CE 1160 and 1170 as well as palisade constructions. Cahokia was mostly abandoned by CE 1250 and it is likely that female maize producers and marine shell bead crafting kin groups were integral to both the founding and eventual fall of Greater Cahokia.

Shifting cultivation in decline: An analysis of soil fertility and weed pressure in intensified cropping systems in Eastern Amazon

Reconciling forest preservation and agricultural production is a major challenge. In Brazil, environmental laws have been introduced to reduce forest degradation associated with the expansion of agriculture. However, these laws are constraining small-scale family farmers who rely on cassava produced in shifting cultivation. Faced by scarcity of land, farmers are reducing the fallow periods on their farms. In this study, our hypothesis was that the reduction of the fallow period in shifting cultivation systems leads to a depletion of soil fertility and an increase in weed pressure. In the Brazilian Eastern Amazon region, soil fertility and weed infestation indicators were assessed in 36 cassava fields under shifting cultivation with different land-use histories. The frequency of cultivation of the fields in the past 10 years ranged from 1 to 7 and averaged 3.7 ± 2.3. The results show that the most frequently cultivated fields had lower soil fertility, indicated by lower soil organic carbon, total nitrogen and exchangeable potassium and pH. In addition, labor input for weeding and weeding frequency increased with the frequency of cultivation of the fields, indicating that weed pressure increased with intensified crop cultivation and shorter fallow periods. The findings of this study make clear that the current trend of reducing the fallow period in the Eastern Amazon is a threat to the sustainability and productivity of the local shifting cultivation systems. There is an urgent need for alternative production systems that allow for a better weed control and that contribute to restoring and maintaining soil fertility.

Green production efficiency of China's hog breeding industry: Spatial divergence and its driving factors.

This paper analyzes the green production efficiency (GPE) and spatial divergence of the hog breeding industry, with the aim of providing a foundation for the rational layout of hog breeding and promoting the industry's high-quality development. The paper uses the SBM model to estimate GPE in 29 provinces, cities, and districts of China from 2006 to 2019. Furthermore, it analyzes the spatial divergence of GPE and its driving factors using divergence indexes and the Geodetector. The results show that China's GPE of the hog breeding industry increased from 0.409 to 0.496 between 2006 and 2019. The highest efficiency occurred during the I-period, while the lowest efficiency was observed during the II-period. The highest efficiency was in the key development region, and the lowest efficiency was in the potential growth region. The spatial divergence of GPE in the hog breeding industry expanded, with labor input, non-point source pollution, resource endowment, and environmental load bearing being the main driving factors for the expansion in each period. The potential growth region had the largest spatial divergence, mainly affected by resource endowment. In contrast, the constrained development region had the smallest spatial divergence, mainly affected by resource endowment and pollutant emissions. The spatial divergence of moderate and key development regions was considerable, mainly affected by environmental investment, environmental load bearing, and pollutant emissions. Therefore, the key to improving the GPE of the hog breeding industry is to promote the adoption of advanced technology, such as labor-saving, material-saving, and emission reduction technologies. Moreover, several actions should be taken to reduce the spatial divergence among different regions, such as integrated breeding, clean standards, large-scale breeding, and high-end boutique.

Mapping crop-specific emission factors highlights hotspots of ammonia mitigation in China

Mapping gridded emission factors (EFs) of crops is vital for estimating ammonia (NH3) emissions in China using the bottom-up methods. However, there is still a lack of high-resolution gridded EFs of NH3 by crops in China, which are affected by climate, soil, and human management. Here, we established a data-driven approach for mapping crop-specific EFs of NH3 in China based on ground-based data and multiple geospatial data. We found that rice exhibited the highest EFs at 13.35 %, followed by wheat at 5.50 %, and maize at 5.15 %. This underscores the significance of utilizing EFs specific to each crop for predicting NH3 emission estimations. Furthermore, our results reveal substantial spatial variations in NH3 EFs across China, with notably higher values observed in South China for rice and elevated EFs in North China for wheat and maize. According to our model, the deep fertilization method emerges as the most effective method for reducing NH3 emissions, offering a remarkable 64 % reduction. Ongoing urbanization in China will lead to a rapid decline in the rural labor force in the coming years, which requires agricultural mechanization with less labor input. This shift in turn could support the implementation of deep fertilization techniques and reduce NH3 emissions by half in 2050. Our findings offer valuable insights for shaping the future trajectory of Chinese agriculture in overcoming agricultural NH3 loss.

Driving factors and decoupling effects of agricultural carbon emissions in Jiangxi Province based on time-varying parameter C-D production function.

The reduction of agricultural emission plays an important role in realizing the dual-carbon goals. It is thus of great significance to examine the characteristics and drivers of regional agricultural carbon emission. We measured agricultural carbon emission in Jiangxi Province from the perspective of input-output and production processes, and explored the drivers and decoupling dynamics of agricultural carbon emission by using the LMDI decomposition method together with the Tapio decoupling model modified by time-varying parameter C-D production function. The results showed that agricultural carbon emission in Jiangxi increased by 26.4% from 2010 to 2021, and the carbon emission intensity decreased year by year with an average annual rate of 4.9%. Factors such as agricultural carbon intensity, labor input, and capital stock collectively reduced carbon emission by a total of 61.05 Mt, with a contribution of 27.0%, 44.5% and 28.5%, respectively. Level of agricultural economic development, agricultural structure, and technological progress had strong driving effects, which accounted for 75.7%, 5.6% and 18.8%, respectively. Agricultural carbon emission in Jiangxi was weakly decoupled from economic development, capital stock, and technological progress factors, but was negatively decoupled from labor input. Moreover, the decoupling state was more desirable in the later period than in the earlier period. Our results suggested that the application of the time-varying parameter C-D production function is innovative and applicable by incorporating technology, labor, and capital factors in the examination of carbon emission drivers and decoupling effects.

Trauma Patient Transitions From Critical Care: A Survey of U.S. Trauma Centers.

Transitions between clinical units are vulnerable periods for patients. A significant body of evidence describes the importance of structured transitions, but there is limited reporting of what happens. Describing transitions within a conceptual model will characterize the salient forces that interact during a patient transition and, perhaps, lead to improved outcomes. To describe the processes and resources that trauma centers use to transition patients from critical care to nonintensive care units. This cross-sectional study surveyed all Level I and II trauma centers listed in the American Trauma Society database from September 2020 to November 2020. Data were merged from the American Hospital Association 2018 Hospital Survey. A total of 567 surveys were distributed, of which 152 responded for a (27%) response rate. Results were organized in categories: capital input, organizational facets, employee behavior, employee terms/scope, and labor inputs. Resources and processes varied; the most important opportunities for transition improvement included: (1) handoff instruments were only reported at 36% (n = 27) of trauma centers, (2) mandatory resident education about transitions was only reported at 70% (n = 16) of trauma centers, and (3) only 6% (n = 4) of trauma centers reported electronic medical record applications that enact features to influence employee behavior. After years of focusing on transitions as a high-stake period, there remain many opportunities to develop resources and enact effective processes to address the variability in transition practice across trauma centers.

Digital Technology, Factor Allocation and Environmental Efficiency of Dairy Farms in China: Based on Carbon Emission Constraint Perspective

The emission of carbon pollutants stemming from dairy farms has emerged as a significant obstacle in mitigating the effects of global warming. China, being a prominent nation in the field of dairy farming, encounters significant challenges related to excessive component input and elevated environmental pollution. Digital technology presents an opportunity to enhance the factor allocation of dairy farms and thus increase their environmental efficiency. This study utilizes survey data from 278 dairy farms in China to examine the effect of digital technology on the allocation of land, labor, and capital variables in dairy farms. The IV-Probit model, IV-Tobit model, treatment effect model, and two-stage least square technique are employed to empirically analyze these impacts. Simultaneously, the intermediate effect model was employed to examine the mediating function of factor allocation in the effect of digital technology on environmental efficiency. The findings indicate that digital technology has the potential to greatly enhance land transfer and land utilization rates in dairy farms. Additionally, it has been observed that digital technology may lead to a decrease in both the proportion and time of labor input. Furthermore, digital technology has the potential to decrease short-term productive input while simultaneously enhancing long-term productive input within dairy farming operations. Digital technology has been found to have an indirect yet beneficial influence on environmental efficiency. This is mostly achieved through the facilitation of resource allocation, specifically in terms of land, labor, and capital aspects. The article presents a set of policy recommendations, including the promotion of extensive integration of digital technology within dairy farms, the facilitation of optimal allocation of production factors in dairy farms, and the implementation of specialized training programs focused on digital technology.