Production Inputs Research Articles

Measuring safety performance of construction employees using data envelopment analysis: A case in Australia

Introduction: Safety is one of the critical and persistent challenges in the construction industry. Measuring safety performance could allow decision-makers to check safety production processes and enhance the health and safety environment. Method: This study developed a total-factor framework based on the global Data Envelopment Analysis (DEA) method to measure safety performance. The performance trend and influencing factors of pure technical efficiency and scale efficiency were separately investigated. The safety performance of construction employees in Australia was measured as a case study. Results: The results demonstrate that the safety performance in the Australian construction industry has been evidently enhanced, which is mainly promoted by the progress of pure technical elements. The scale factors did not play a positive and important role in driving the performance. Conclusions: The increasing regional differences in safety performance could be reduced by learning the practices from the benchmark construction industry, such as a young worker program, small business safety program, workplace mental health program, and advanced construction technologies. Practical Applications: The method can be utilized to measure safety performance and investigate the pathways to enhance performance without influencing production inputs and outcomes. The model and experiences of how to promote safety performance on the policymakers and employers were recognized.

Measuring and Analyzing the Impact of the Agricultural Price Policy on the Production of Barley Crop in Nineveh Governorate - Iraq, using the Policy Analysis Matrix for the Production Season 2022

In this manuscript, an economic analysis was conducted of barley crop farms in Nineveh Governorate - Iraq, for the productive season 2022, through a random sample of barley crop producers in the study area, which included (160) producers out of a total study population of (1606), as the research depend on policy analysis. The price of production inputs and output prices by adopting the Price Analysis Matrix (PAM), which included the prices of traded production inputs and the prices of non-traded productive inputs, as well as the quantities of stored productive inputs and the quantities of non-traded productive inputs, and depending on the private prices and social prices of production requirements, the research reached a group of The most important results are that the return of one dunum at special prices amounted to (188) thousand dinars. As for the return of a dunam at social prices, it amounted to (111) thousand dinars, and the total cost of inputs traded per dunam at special prices was calculated, which amounted to (61) thousand dinars, and the cost of a dunam at social prices amounted to (54) thousand dinars. As for the total cost of non-traded inputs per dunum, by adopting special prices and social prices, they amounted to (91) and (97) thousand dinars, respectively. Based on the conclusions, it was recommended to increase government support for production requirements such as fertilizers and fuel, as well as to develop the efficiency of marketing outlets, as well as to regulate the use of the water resource.

Factors influencing the recessive morphology of farmland use under labor changes based on production input willingness and behavior of farmers

Factors influencing the recessive morphology of farmland use under labor changes based on production input willingness and behavior of farmers

Comparing farmers’ perception of climate effect on cocoa yield with climate data in the Humid zone of Nigeria

Apart from the conventional inputs for cocoa production, climatic parameters have a significant effect on the yield of the crop globally. However, existing literature suffers a knowledge gap on the farmers' perceptions of climate effect on cocoa yield and its nexus with climate data. The chi-square test of independence, standardized anomaly index (SAI), multiple regression, z-distribution, and descriptive statistics were employed to investigate the socioeconomic and climate impacts on yield. The registered farmers (280) from the Osun State Cocoa Growers Association (OSCGA) in the Nigerian Humid Zone were the interviewees. Climate data were retrieved from the records of the Nigerian Meteorological Agency, Abuja, while the cocoa yield data were provided by the Ministry of Agriculture, Osogbo from 1999 to 2019. The results revealed that climate affected cocoa yield and the yield was significant at p ≤ 0.05 in 1999 and 2000. Most farmers perceived that low temperature, relative humidity, rainfall, sunshine, and wind speed influenced cocoa yield positively. Farmers’ perception was influenced by age, marital status, household size, and educational level at p ≤ 0.01. Understanding the climate and its consequences on cocoa yield will help develop management practices, that were hitherto lacking in Osun State, Nigeria. This study presents the socioeconomic and climate effects on cocoa yield and makes recommendations for management practices in regions with similar ecological settings.

Carbon footprint of major grain crops in the middle and lower reaches of the Yangtze River during 2011-2020

The middle and lower reaches of the Yangtze River is one of main grain production areas in China, which is of great significance to food security. Understanding the carbon footprint of major grain crop production is helpful to develop high-yield and low-carbon agriculture. Based on the data of yield, sown area and farmland production input of main grain crops (rice, wheat and maize) in six provinces (Jiangsu, Anhui, Jiangxi, Hubei, Hunan, and Zhejiang) in the middle and lower reaches of the Yangtze River from 2011 to 2020, we estimated carbon footprint in the production of the three grain crops. The results showed that from 2011 to 2020, yield per unit area, planting area, and total yield of rice, wheat and maize were the highest in Jiangsu Province. In terms of area-scaled carbon footprint, rice in the middle and lower reaches of the Yangtze River had the highest area-scaled carbon footprint, with an average of 2.0 t CE·hm-2, followed by wheat and maize. The area-scaled carbon footprint of the three staple crops was increasing. In terms of yield-scaled carbon footprint, rice was the highest, with an average of 0.8 kg CE·kg-1, followed by wheat and maize. In terms of carbon input structure, irrigation electricity, chemical fertilizers and pesticides accounted for a relatively high proportion. Irrigation electricity accounted for 35.0%, 36.3%, and 33.2% of the total carbon input of rice, wheat and maize, respectively. Chemical fertilizers accounted for 28.8%, 32.5%, and 32.5%, respectively, while pesticides accounted for 24.2%, 13.3% and 11.5%, respectively. In terms of carbon efficiency, maize had the highest (3.9 kg·kg-1 CE), followed by rice and wheat. With the green development of agriculture, carbon emission in the production of major grain crops in the middle and lower reaches of the Yangtze River could be reduced by improving irrigation efficiency, fertilizer utilization efficiency, pesticide utilization efficiency and mechanized operation efficiency, as well as diversification of straw returning, cultivation of new varieties and policy leverage.

Estimating the Sustainable Efficiency and Economic Efficiency of Vegetable Crop Growers in Baghdad Governorate

The research aims to measure the sustainability value and efficiency of sustainable for vegetable crops in the Baghdad governorate. Additionally, it aims to assess the economic efficiency for the agricultural season of 2022-2023. The research sample includes 182 farmers from the studied province, analyzed using the Data Envelopment Analysis (DEA) method. The explanatory variables for sustainability value include factors such as cultivated area, working hours, capital excluding land rent, household consumption of vegetable crops, fuel, and nitrogen fertilizer. The dependent variable is agricultural production value. The variables for sustainable efficiency encompass cultivated area, seed quantity, fertilizer quantity, pesticide quantity, number of workers, and irrigation frequency. The results indicate that there is a sustainable value for the utilized resources, reaching approximately 1.6. Moreover, the sustainability efficiency reaches about (1.2). This implies that despite resource wastage, farmers have positive and satisfactory productivity. However, the average economic efficiency is around 70.81%, revealing that vegetable crop farmers in Baghdad’s province have not achieved full economic efficiency of 100%. There is a notable variation in achieving these levels, necessitating changes in the utilization of production inputs to enhance productivity. The research recommends that farmers should redistribute resources to minimize waste, aiming to reach the optimal combination that maximizes profits while minimizing costs. This could be achieved by seeking guidance from experienced farmers and experts or by providing training on modern technology usage and mechanization of production resources. Furthermore, the research suggests the importance of conducting further studies on cost-return variation and resource utilization to evaluate sustainability.

Ograniczenie wybranych środków produkcji w uprawie rzepaku ozimego: wyzwania i możliwości maksymalizacji plonu z zachowaniem aspektów ekologicznych

The research conducted in 2021-2022 is preliminary and its aim was to draw attention to the benefits of maintaining ecological aspects in agricultural production. The experiment compared the response of two varieties of winter rapeseed (Tigris, Riccardo KWS) to two levels of cultivation intensity and the profitability of the applied agrotechnical treatments. The research shows that the yield and chemical composition of seeds depended on the cultivation technology used. More favorable economic effects were obtained from growing winter rapeseed at a medium-intensity level (A2), despite the lower yield. The Tigris variety exceeded the Riccardo KWS F1 variety in the tested parameters. It has been shown that in less intensive cultivation systems, the efficiency of the use of production inputs increases, which may contribute to reducing the negative impact on the natural environment.

Declining real interest rates: The role of energy prices in energy importers

This study investigates whether the upward trend in real energy prices since the 1990s can account for the decreasing trend in real interest rates in energy-importing countries. By estimating dynamic panel data models, I first provide empirical evidence that a rise in real energy prices leads to falls in real interest rates and aggregate consumption in energy-importing OECD member countries. Using a life-cycle model, I show that the increasing trend in real energy prices decreased the equilibrium real interest rate by about 1.4 percentage points between 1990 and 2018. The mechanism for this effect is as follows: As a result of the increases in the real energy price, energy consumption falls, dampening the consumption of manufactured goods because of the complementarity in consumption between energy and manufactured goods. Accordingly, aggregate consumption declines, putting downward pressure on the real interest rate. Moreover, the increased real energy price decreases energy input in production, raising the capital/energy ratio and inducing a lower real interest rate via a fall in the marginal product of capital. Through a simulation, I also demonstrate that increases in the real energy price had a greater influence on the declining real interest rate in energy-importing countries during 1990–2018, compared to population aging.

Factors Influencing Smallholder Farmers’ Decisions to Participate in Loan-Based Farming in Mutare District, Zimbabwe—A Double-Hurdle Model Approach

Agriculture is an important sector in Zimbabwe’s economy. More than 70% of the population are smallholders relying on agriculture. To support agriculture, Zimbabwe’s government introduced a Targeted Command Agriculture Programme (TCAP), in terms of which the state provides production inputs like seeds, fertilisers, protection chemicals, and extension services. In turn, the farmer is expected to produce 5 tonnes of maize per hectare for the Grain Marketing Board. The cost of inputs that the state provided is then deducted from the 5-tonne maize yield, and the farmer is paid the balance. Numerous authors have studied the design of TCAP and its impact on farmers. However, only a few have focused on the determinants of participation, especially with an empirical basis and in the Mutare District. To bridge this knowledge gap, this study implements a double-hurdle model to determine factors influencing farmers’ participation in Zimbabwe’s TCAP using a sample of 350 farmers. The study found that gender, family size, farmer type, command agriculture education, and distance from the market influenced smallholder farmers’ participation in TCAP. Therefore, policymakers should consider these factors to improve the design of the programme and enhance the participation of smallholder farmers in it.

Efficiency, risk, and profitability of rainfed rice farming in South Sulawesi, Indonesia

Rice farming is a business that has many risks, and production risks cause fluctuations in production. Productivity influences farming income and profitability. An increase and decrease in production will affect revenue or profitability. The purpose of this study is to analyze the technical efficiency, production risk, and profitability of rainfed lowland rice farming. This research was conducted in two regencies in South Sulawesi Province, namely Maros Regency and Pangkajene Islands Regency. The sample of this study was 100 farmers in rainfed rice fields. This research used quantitative methods with a survey approach. Data were collected using observation, recording, and interview instruments, and were then analyzed using quantitative description coupled with a t-test for independent samples. The results showed that rainfed lowland rice farming in Maros Regency and Pangkajene and Archipelago Regency was technically efficient. Rainfed lowland rice farming in Maros Regency and Pangkajene Regency and Islands is at risk. Rainfed lowland rice farming in Maros Regency and Pangkajene Regency and the islands using profitability analysis generates income and profit, and is feasible to cultivate. Farmers need to use production inputs as recommended to increase production reduce production risk and efficiently use inputs.JEL Classification D10; Q00; Q12

Trend Analysis of Temperature and rainfall in Kashmir Valley

Abstract: Weather is the key source of uncertainty affecting crop yield especially in the context of climate change. Among variables relevant to weather, rainfall and temperature are two important factors which have a large effect on crop yield. Typically, temperature affects the length of the growing season and rainfall affects plant production. Rainfall and temperature are important climatic inputs for agricultural production, especially in the context of climate change. The interdependence of rainfall and temperature has a direct influence on the output of agriculture, occurrence and design of hydraulic structures. Earlier the correlation of temperature and rainfall could not be studied with precision but the developments in the meteorology science have however rendered the study possible and precise. The study of temporal and spatial variation of temperature and rainfall of six stations of Kashmir valley for the period of thirty years which has been used for determination of various rainfall-temperature graphs. The rainfall-temperature curve has been further used to determine the trend or pattern in temporal and spatial variation and to determine periods of maximum and minimum rainfall and temperature and also the stations of maximum and minimum rainfall and temperature. The study also computes correlations between temperature and rainfall in Kashmir valley for each station and for each month of the corresponding stations. Modern statistical methods were used to test thestatistical significance of our results.

Productivity Performance Assessment of a Firm: A Case Study of Infrastructural Construction Company in Nigeria

Productivity measures how efficiently production inputs, such as labour and capital, are being used in an economy to produce a given level of output. Productivity growth constitutes an important element for modeling the productive capacity of economies. It also allows analysts to determine capacity utilization, which in turn allows one to gauge the position of economies in the business cycle and to forecast economic growth. The objective of the study is to analyze the impact of productivity, while using the inventory of the construction Company in Nigeria to investigate, measure, plan and control the productivity and performance of a firm. Data used for this study was generated through the firm's annual reports and financial statements. Multiple Linear regression Model developed was used to predict accurately the productivity level of the firm. In order to check the significant and the adequacy of the model developed, the coefficient of correlation(R), coefficient of determination (R2) and adjusted R2 were determined, with an R2 value of 0.983 and an adjusted R2 values of 0.932 obtained indicating that the model is adequate. The result of the study shows that the degree of association and correlation of the data is meritorious. Investigation revealed that factors in both external and internal work environment as well as the firm's policies are unfavorable to the enhancement of labour productivity.

Dinoflagellate cyst and pollen assemblages as tracers for marine productivity and river input in the northern Gulf of Mexico

Abstract. Both marine dinoflagellate cysts and terrestrially derived pollen and spores are abundant in coastal sediments close to river mouths, making sediment records from such settings ideal to simultaneously study land–ocean climate interactions, marine productivity patterns and freshwater input over time. However, few studies consider the combined calibration of these palynological proxies in modern coastal sediments offshore from rivers, which is needed to strengthen the interpretation of paleoreconstructions. Here, we analyze the palynological content of marine surface sediments along land–sea transects off the Mississippi and Atchafalaya river mouths in the northern Gulf of Mexico (GoM) and test three palynological indices which are often employed in the paleo-domain: (i) the abundance of cysts of heterotrophic and autotrophic dinoflagellates (dinocysts) as a tracer for primary productivity (H/A ratio) and (ii) the ratio between non-bisaccate pollen and bisaccates (P/B) as well as (iii) the ratio between pollen (excluding bisaccates) and dinocysts (P/D), which are both tracers for river input and distance to the coast. Our results show that dinoflagellate cysts are most abundant on the shelf, where heterotrophic dinocyst species dominate coastal assemblages in reach of the river plume, while autotrophic taxa are more present in the oligotrophic open ocean. This is clearly reflected in decreasing H/A values further offshore. Individual dinocyst taxa also seem to inhabit specific niches along an onshore–offshore transect, linked to nutrient availability and proximity to the turbid river plume. The highest pollen concentrations are found close to the Mississippi river mouth and mostly represent a mixture of local coastal and upstream vegetation, whereas bisaccate pollen was most abundant further offshore of the Mississippi river. Multivariate redundancy analysis (RDA) performed on both pollen and dinocyst assemblages, a set of environmental parameters, and the three palynological ratios showed that net primary productivity was the most important variable influencing the dinocyst assemblages, likely as the result of nutrient input. Additionally, the RDA confirmed that the H/A ratio indeed seems to track primary productivity, while the P/B ratio results in a robust indicator for distance to the coast, and the P/D ratio better reflects river input. Together, our data confirm and further specify the suitability of these three palynological ratios in river-dominated coastal margins as proxies for (past) marine productivity and distance to the coast and river.

Effect of water and nitrogen coupling on energy balance and production efficiency in rice production

This study evaluated the effects of water-nitrogen coupling on the energy balance and production efficiency of rice production in Hainan Province, a region of China with tropical climatic. Results showed that the effects of water and nitrogen fertilizer on the total energy output (Eo), net energy (NE), and energy production efficiency (EPE) of rice were coupled. The total energy input (Ei) for rice production increased with irrigation water and nitrogen fertilizer application. Rice production currently depends heavily on indirect and nonrenewable Eis. Diesel, machinery, and nitrogen fertilizer Eis accounted for more than 75 % of the total Eis for rice production. The highest total Eo and NE were observed in rice treated with F-N100 and AWD-N150, respectively. Except for the F-N150 treatment, the total Eo and NE of rice increased with nitrogen fertilizer application. Higher EPE was observed for rice treated with R-N100. In conclusion, the AWD-N150 treatment is suitable for rice production areas with good irrigation conditions, while the R-N100 treatment should be adopted as the preferred water and nitrogen management strategy in rice production areas with high rainfall. Furthermore, research on reducing Eis for irrigation, tillage, and nitrogen fertilizer application for rice production should be strengthened in the future.

Assessment of Vulnerability of Farmers to Climate Change in Zone-II of Bihar, India

"Climate unpredictability and weather extremes are additional challenges for farmers currently engaged in the low-technology based food production systems in Bihar. This study assessed the vulnerability of major crops growing farmers to climate change in zone-II of Bihar. Primary data, collected from 240 respondents using simple random sampling procedure and data were analysed employing descriptive statistic to describe the coping strategies adopted and Human Development Index (HDI) was also created to assess vulnerability of farmers to climate change. Statistical analyses indicated a vulnerability assessment index of 0.41, pointing to a fact that the Kosi region is prone to the adverse effects of climatic variability. For this reason, the study empirically under scores the need for farmers to adopt the planting of early maturing varieties of major crops in the region. Importantly, the capacity of the local communities needs to be strengthened vis-à-vis the relationship between climate change and crop production. Capacity building at the farm level is crucial for improving crop, soil and water management, enhancing the demand for and use of better and more efficient production inputs. The farm-level capacity building is the need to refocus public agricultural-based institutions towards exposing the growers to effective mitigation strategies in the wake of climate change, provision of agricultural inputs, expansion of irrigation, efficient and effective extension service delivery, market development and other forms of necessary support."

Yield and energy efficiency in winter wheat agrocenosis under different fertilization systems in the conditions of the northern part of the Forest-Steppe

The influence of different types of fertilizers on the yield and energy efficiency of winter wheat cultivation was evaluated. It was found that the highest productivity was obtained under the organic-mineral fertilizer system, which involves the combined use of 12 t/ha of cattle bedding manure and mineral fertilizers in a dose of N100Р60К100, applied against the background of two-time fertilization with complex chelated fertilizers at a dose of 2 l/ha, where the yield was 5.67 t/ha, and when applying a double mineral dose (N100Р60К100) and a triple dose (N150Р90К150) – 5.76 and 6.00 t/ha respectively, which in terms of yield growth was lower than the NIR05 values. The combined use of litter manure and mineral fertilizers resulted in a synergistic effect, as winter wheat grain yields were 15–20 % lower when mineral and organic fertilizers were applied separately than when they were applied together. Increasing NPK doses by 1.5 times to N150P90K150 compared to N100P60K100 did not compensate for the lack of manure. Under the organic fertilizer system, the grain yield was the highest when OMBF was applied at a dose of 2 t/ha against a background of pea straw 3 t/ha, which amounted to 5.18 t/ha with an increase of 41 %, compared to the control (straw). The highest levels of energy efficiency were determined for the application of organic-mineral fertilizer of the organic brand in doses of 1 and 2 t/ha (5.4 and 5.3) and OMBF brand 4-4-4 in a dose of 1 t/ha (5.2). Under the organic-mineral system of fertilizing application of N50P30K50 and N100P60K100 at the background of 12 t/ha of manure established the index of energy efficiency at the level of 3.4 and 3.7 units, respectively. Application of cattle manure at a dose of 12 t/ha did not provide a significant difference in crop energy, compared to the variant 6 t/ ha – 75755 and 73305 MJ/ha respectively, but due to increased energy inputs in production and application of more manure Kee was 3.9 and 4.6 respectively. Key words: cattle manure, fertilizers, OMBF, yield, mineral fertilizers, by-products, fertilizer system, energy efficiency.

Karakterisasi Pertanian Berkelanjutan di Pulau Kecil

The character of Hiri Island, which is located in the cluster of small islands in North Maluku in the study of sustainable crop cultivation practices, has yet to be documented in the Islands Agriculture database. This research reveals local farmers' cultivation practices using production inputs. The methods used are observation and interviews. Respondents were determined by deliberate methods. Research variables included sustainable agriculture indicators such as land conservation, agroforestry, integrated pest control, protective crops, crop nutrient management, and crop diversification. Data were obtained through a closed questionnaire with "Yes" or "No" questions. The answer "Yes" was given a score of 1, while the answer "No" was a score of 0. Next, the data is tabulated and analyzed using descriptive analysis. The results showed that farmers on Hiri Island maintain agricultural productivity by implementing sustainable agricultural practices with several indicators such as water source management 42%, integrated pest control 50%, crop diversification 65%, crop nutrition management 65%, land conservation 75%, and agroforestry 83%. Farmers on this island have implemented the concept of sustainable agriculture, but it needs to be done continuously by maximizing cultivation practices on small islands.
 
 Keywords: hiri, small island characteristics, archipelago agriculture

The Role of Rural Credit in Agricultural Technology Adoption: The Case of Boro Rice Farming in Bangladesh

Rice agriculture provides millions of households with a steady source of income and employment. However, for small and marginal farmers, the exorbitant cost of production inputs presents a formidable obstacle in their pursuit of acquiring it. Credit constraints are a significant impediment to the adoption of agricultural technologies. Therefore, this paper identifies the determinant of access to rural credit and its impact on Boro rice production technology adoption in Bangladesh using cross-sectional data. The study employed probit regression, propensity score matching (PSM), inverse probability weighting (IPW), and inverse probability weighted regression adjustment (IPWRA) techniques. The findings indicate that age, family size, working members, and involvement in safety net programs negatively and significantly influence access to rural credit, while earning persons in the family, literacy, rice farming experience, remittance, and total income positively influence access to rural credit. The positive and significant ATT values suggested that access to rural credit has a positive and significant effect on technology adoption and the level of technology use. It was also found that access to rural credit has a heterogeneous effect. In particular, non-government organization (NGO) credit has a more significant impact on technology adoption than formal bank credit. Access to credit and the adoption of agricultural technologies can be greatly improved with the help of a location-specific rural credit policy and strong monitoring from the formal banking sector.

Input Behavior of Farmer Production Factors in the Range of Asian Elephant Distribution: Survey Data from 1264 Households in Yunnan Province, China

This article, based on the sustainable livelihood framework and survey data from 1264 households in Xishuangbanna Dai Autonomous Prefecture, Puer City, and Lincang City in Yunnan Province, China, analyzes the impact mechanism of livelihood capital on the production input behavior of farmers affected by Asian elephant damage and the moderating effect of Asian elephant damage on this process using ordinary least squares (OLS) models. The study finds the following: (1) Asian elephant damage has a significant negative effect on farmers’ production input, meaning that as the severity of Asian elephant damage increases, farmers reduce their input into agricultural production factors. (2) Livelihood capital has a significant positive effect on farmers’ production input, and both the increment and stock of livelihood capital promote an increase in farmers’ production input. (3) Asian elephant damage strengthens the influence of livelihood capital on farmers’ inputs of agricultural production factors. Based on these findings, four recommendations are proposed: emphasizing the cultivation and enhancement of farmers’ livelihood capital, improving strategies for managing and preventing wildlife damage, optimizing the economic compensation mechanism for human–wildlife conflicts, and adhering to sustainable development and resource allocation. These recommendations aim to enhance wildlife conservation and management policies, strengthen farmers’ risk-coping capabilities, and ensure the sustainability of agricultural production and livelihoods.

Comparing acute normovolumic hemodilution with autologous platelet-rich plasma for blood preservation during aortic surgery : study protocol for a randomized controlled clinical trial

BackgroundBoth acute normovolumic hemodilution (ANH) and autologous platelet-rich plasma (aPRP) have been demonstrated blood-protective effects in cardiac aortic surgery; however, the efficacies of the two methods have not been compared. This study aims to compare the effects of aPRP and ANH prior to aortic surgery on postoperative bleed and other outcomes.Methods and analysisThis is a prospective, single-center, double-blind controlled clinical trial including 160 patients randomized 1:1 to receive aPRP (test group) or autologous whole blood (ANH, control group). The primary objective is to compare the drainage volumes in the two groups at 24, 48, and 72 h postoperatively. Secondary outcomes include input of allogeneic blood and blood products and durations of aortic block, extracorporeal circulation, deep hypothermic arrest of circulation, tracheal extubation, hospital stay, requirement for secondary surgical hemostasis, and application of intra-aortic balloon pump or extracorporeal membrane oxygenation in the two groups. In addition, heart rate, systolic blood pressure, diastolic blood pressure, central venous pressure, and thromboelastography recorded before blood reservation (T1), after blood reservation (T2), before blood transfusion (T3), and after the blood is returned (T4) to the transfusion will be compared between the two groups of patients.DiscussionThis study will demonstrate if the use of aPRP could reduce the risk of bleeding after aortic surgery compared with ANH. The results are expected to have practical clinical applications in terms of more effective blood protection and shorter hospital stay.Trial registrationThis study was registered with the Chinese Clinical Trial Registry (http://www.chictr.org.cn/) with the ID ChiCTR 1900023351.Registered on May 23, 2019.Trial statusRecruiting start date: July 1, 2019; expected recruiting end date: July 1, 2024Version number and date: Version 2 of 05-04-2019