Low Stocking Research Articles

Tension in Financial Reporting: Reacting to a Peer Bankruptcy Announcement

We investigate if and how a peer’s bankruptcy affects financial reporting by other firms within the industry. Prior research documents that the bankruptcy filing of a peer firm has negative capital market effects on other firms within the industry (lower stock market value and higher cost of debt). We argue that firms within an industry experiencing peer bankruptcies modify their financial reporting to mitigate such negative capital market effects. However, tension arises as to whether such modification is toward more conservative accounting or the opposite. Using a large sample of firms from 1980 to 2018, we find that following a peer firm bankruptcy filing, other firms within the industry exhibit a rise in conditional conservatism in their financial reporting. Our findings are robust to a battery of tests including the exclusion of distressed industries, the 2000 dot-com crash period, and the 2008 financial crisis period as well as employing an alternative proxy for conditional conservatism. The results are not significant for placebo bankruptcies 1 and 2 years before actual bankruptcies. Further analyses show that the spillover effects are more pronounced for firms in homogeneous industries, which exhibit higher leverage, with strong governance mechanisms, and in industries that experience strong market reaction following peer bankruptcy announcements. We also find that the bankruptcy filing of larger and older firms leads to stronger spillover effects.

ESG scores, scandal probability, and event returns

The informativeness of environmental, social, and governance (ESG) scores and their actual impact on firms remains understudied. To address this gap in the literature, we make theoretical predictions and conduct empirical research revealing that a high ESG score is associated with a lower probability of ESG scandals and lower stock returns during a scandal event. Our results suggest that ESG scores are heterogeneous but informative, and that a strong ESG reputation may have both positive and negative consequences for firms. Drawing on our findings, we develop a model and showcase that firms face an optimization problem when determining optimal ESG investment levels. Two equilibria may exist based on the trade-off between ESG scandal losses and ESG adjustment costs. Our model explains why certain firms make heterogeneous ESG decisions

MARKET REACTION TO THE IMPLEMENTATION OF BASEL CAPITAL IN SOUTH AFRICAN BANKS: EVENT STUDY APPROACH

This study investigated the stock market reaction and the effect of the implementation of Basel II and Basel III on the stock returns of South African banks. In achieving this aim, this study focused on daily and annual data of six commercial banks from 3rd January 2004 to 31st December 2022. The event study methodology was employed to identify abnormal returns around the specified event dates. The effect of the changes in Basel capital requirements on stock returns was not uniform across the four events. The market reacted favourably to the implementation of the Basel II requirements in the country. There was a significantly negative market reaction to the subsequent full implementation of Basel III official. Finally, higher Basel capital requirements (CAR) was associated with lower bank stock returns. The findings implied that bank regulators increase capital to strengthen the banking system but constrain the maximisation of shareholders’ values.

Biomass carbon stock and allocation of planted and natural forests in the Loess Plateau of China

Establishing planted forests (PF) by afforestation and naturally regenerating forests (NF) are important measures of enhance carbon (C) sequestration in terrestrial ecosystems. However, the difference of biomass C stocks and allocation between NF and PF and their determinants in water-limited areas remain unclear. To address this gap, we conducted a synthesis of above-ground biomass C (AGBC), below-ground biomass C (BGBC) stocks and root to shoot ratios (R:S) of PF and NF in the Chinese Loess Plateau. The changes in biomass C stock and R:S along a climate gradient were investigated, and the relationships between R:S and soil properties were also quantified. We found that PF exhibited lower AGBC and BGBC stocks compared to NF, but the average R:S in PF was significantly higher than that of NF (0.48 ± 0.27 vs. 0.30 ± 0.11, p < 0.05). Turning points existed in biomass C allocation along climatic gradient for both PF and NF. More biomass C was allocated to AGBC in PF and NF when mean annual precipitation exceeded 494 mm and 588 mm, respectively. Higher mean annual temperature promoted larger C allocations to BGBC in PF compared to NF. Soil properties had a stronger effect on the biomass C allocation patterns after afforestation, but to a lesser extent on NF. This study indicates that afforestation promotes a larger allocation of biomass C into the below-ground compared to naturally regenerated forests, and using the default R:S estimates may result in a severe underestimation of below-ground C stocks in water-limited areas. The biomass C stocks and allocation are collectively determined by climate conditions and soil properties, and accumulated below-ground biomass C stock induced by dryland afforestation may be an important C sink at a broad geographic scale.

Vegetation patterns associated with nutrient availability and supply in high-elevation tropical Andean ecosystems

Abstract. Plants absorb nutrients and water through their roots and modulate soil biogeochemical cycles. The mechanisms of water and nutrient uptake by plants depend on climatic and edaphic conditions, as well as the plant root system. Soil solution is the medium in which abiotic and biotic processes exchange nutrients, and nutrient concentrations vary with the abundance of reactive minerals and fluid residence times. High-altitude ecosystems of the tropical Andes are interesting for the study of the association between vegetation, soil hydrology, and mineral nutrient availability at the landscape scale for different reasons. First of all, because of low rock-derived nutrient stocks in intensely weathered volcanic soils, biocycling of essential nutrients by plants is expected to be important for plant nutrient acquisition. Second, the ecosystem is characterized by strong spatial patterns in vegetation type and density at the landscape scale and hence is optimal to study soil-water–vegetation interactions. Third, the area is characterized by high carbon stocks but low rates of organic decomposition that might vary with soil hydrology, soil development, and geochemistry, all interconnected with vegetation. The páramo landscape forms a vegetation mosaic of bunch grasses, cushion-forming plants, and forests. In the nutrient-depleted nonallophanic Andosols, the plant rooting depth varies with drainage and soil moisture conditions. Rooting depths were shallower in seasonally waterlogged soils under cushion plants and deeper in well-drained soils under forest and tussock grasses (&gt;100 cm). Vegetation composition is a relevant indicator of rock-derived nutrient availability in soil solutions. The soil solute chemistry revealed patterns in plant-available nutrients that were not mimicking the distribution of total rock-derived nutrients nor the exchangeable nutrient pool but clearly resulted from strong biocycling of cations and removal of nutrients from the soil by plant uptake or deep leaching. Soils under cushion plants showed solute concentrations of Ca, Mg, and Na of about 3 times higher than forest and tussock grasses. Differences were even stronger for dissolved Si with solute concentrations that were 16 times higher than forest and 6 times higher than tussock grasses. Amongst the macronutrients derived from lithogenic sources, P was a limiting nutrient with very low solute concentrations (&lt;1 µM) for all three vegetation types. In contrast K showed greater solute concentrations under forest soils with values that were 2 to 3 times higher than under cushion-forming plants or tussock grasses. Our findings have important implications for future management of Andean páramo ecosystems where vegetation type distributions are dynamically changing as a result of warming temperatures and land use change. Such alterations may lead not only to changes in soil hydrology and solute geochemistry but also to complex changes in weathering rates and solute export downstream with effects on nutrient concentrations in Andean rivers and high-mountain lakes.

Feature-enhanced deep learning method for electric vehicle charging demand probabilistic forecasting of charging station

The fast proliferation of electric vehicles (EVs) profoundly affects the stable operation of the power system. Since EV charging demand is affected by users volatile behaviors and many other environmental and social factors, their uncertainty is quite pronounced. Traditional deterministic forecasting methods which provide little information on the uncertainty may not be informative to the decision-making of power system with massive EVs. This paper proposes a novel feature-enhanced deep learning method (FEDM) for EV charging demand probabilistic forecasting of individual station, in which a two-stage feature selection model is constructed to introduce the Pearson correlation coefficient between charging demand and external features as a prior knowledge to reweight the initial weights. The performance is improved compared to which is without feature-enhanced. In the comparison with eight benchmarks, FEDM shows superiority in both deterministic and probabilistic evaluation metrics. With high computational efficiency, FEDM has low dependence on the historical data stock, which can still achieve good performance in the case of low data volume. It provides a fast and accurate forecasting scheme for the demand forecasting of individual stations under the limitation of low data stock.

Analyst coverage and default risk

This study explores the causal effect of analyst coverage on corporate default risk. Using the exogenous drop of analyst coverage due to brokerage mergers and closuresas a natural experiment, we observe an increase in the probability of default following the coverage termination. This result is driven by firms having large asymmetric information problems (few analysts following and intangible-intensive firms), higher financing constraints, lower stock liquidity and firms operating in countries with a larger domestic stock market size. We explore agency costs and stock liquidity as potentialchannels, finding empirical support only for this latter. Finally, we observe that firms react to the analyst loss by adopting conservative investment and financing policies in the aim to mitigate the increase in default risk.

Animal welfare indicators and stress response of broiler chickens raised at low and high stocking density

Animal welfare indicators and stress response of broiler chickens raised at low and high stocking density

Spatio-Temporal Assessment of Heterogeneity by Logging Intensity in a Federal Concession Area in the Brazilian Amazon

The logging intensity often does not take into account the spatial heterogeneity of the forest volume of commercial native species in the Brazilian Amazon. This study aims to evaluate the spatio-temporal heterogeneity distribution by assessing logging intensity and its effects on the volumetric stock and abundance of commercial species, with a focus on sustainable management practices. This study was conducted in the Saracá-Taquera National Forest in the Brazilian Amazon. Forest inventory data, elevation, and PlanetScope satellite images were integrated into a geographic information system. The information was aggregated into regular 1-hectare cells for the times before, during, and after logging (t0, t1, and t2). The unsupervised classification algorithm k-means with four clusters was used to analyze heterogeneity. Before logging, areas with higher commercial volumes were distant from water bodies, while areas with lower elevation had lower wood stocks. Logging intensity was generally low, concentrating on a few trees per hectare. Logging in the study area revealed a heterogeneous spatial distribution by intensifying in areas with the highest wood stocks. These results suggest that, in addition to the recommended logging intensity according to legislation, forest heterogeneity should be considered by the manager, promoting adaptive strategies to ensure the conservation of forest resources.

Top-down and bottom-up coupling effects of subsidies on recipient ecosystems

A subsidy can directly enter a recipient ecosystem by either being consumed or being recycled to the nutrient pool with both pathways causing multiple indirect and potentially conflicting effects. Subsidy pathways are prone to anthropogenic stressors, which can impact the relative strength of the recycling and direct consumption fluxes. Current studies have mainly focused on a single coupling pathway, limiting our knowledge of subsidy effects on recipient ecosystems. We derive a series of models to predict the relative and interactive effects between consumption and recycling subsidy coupling pathways on the biomass and functions of a recipient ecosystem. We solved the models for analytical equilibria, and compared model predictions with and without each subsidy pathway. Our results show that the direct consumption and recycling coupling pathways of subsidies interact antagonistically, as the feedbacks between both pathways led to lower stocks and functions of the recipient ecosystem than a model which omits these feedbacks. These subsidy effects are consistent for each trophic level of the recipient ecosystem. Our models also predicted that consumption and recycling pathways of subsidies had differential effects on the recipient ecosystem. Recycling coupling pathway always led to equal or higher stocks and functions across recipient ecosystem trophic levels, whereas consumption couplings had alternating positive and negative effects depending on trophic level and characteristic of a trophic cascade. We suggest that future empirical and theoretical research on subsidies should consider various coupling pathways to provide a more mechanistic understanding of the effects of subsidies.

Das House Kapital: A Long-Run Theory of House Prices and Housing Wealth

Abstract Over the last 70 years, many advanced countries have experienced growing real house prices and an increasing housing wealth-to-income ratio. To explain these long-run patterns, this paper introduces a novel multi-sector growth model where housing services are produced using non-reproducible land and reproducible structures. Land is also employed in the non-housing sector. First, we identify two fundamental mechanisms driving the long-run increase in the real house price: (i) technological progress in the construction sector lags behind the technological progress of the rest of the economy and (ii) housing production is more land-intensive than non-housing production. Second, we study transitional dynamics for the US, UK, France, and Germany. Our calibrated model explains most of the observed increase in the housing wealth-to-income ratio since 1950. Counterfactual experiments identify initially low stocks of residential structures and non-residential capital as key exogenous drivers for this increase. The associated investment incentives led to a long-lasting construction boom and steadily increasing land scarcity, boosting residential land prices.

Pastures as natural climate solutions: A socioecological study of tree carbon and beef production trade-offs

Sustainable management strategies that facilitate the incorporation of trees into cattle pastures are widely recognized as emerging natural climate solutions. However, their potential to dually improve ecological functioning and human livelihoods has yet to be evaluated across regions on local scales, utilizing both ecological and sociological data. Further, the relationship between landowner participation in conservation management programs (CMPS) and their management priorities (i.e. production vs sustainability) also remains unclear. Therefore, the aims of this study were to evaluate the accuracy of past global-scale remote estimations of aboveground biomass and derived tree carbon density (MgC ha−1) within pasturelands at the local scale in both temperate and tropical regions. We also sought to analyze how participation in CMPs related to the perceptions of stakeholders toward the ecological health of their system. We compared findings between farms in temperate (n = 26) and tropical (n = 16) ecosystems. We found that discrepancies exist between previous remote studies and current field estimations of tree carbon in the farms, and these differences were not regionally uniform. In contrast, stakeholders enrolled in CMPs had a higher value of trees in both regions. CMPs participants also had lower annual stocking rates than those that practiced conventional management but no differences in woody species diversity (H’) or tree carbon (MgC ha−1). We demonstrate the urgent need for local-scale studies to accurately estimate tree carbon in mosaic pasture systems and the importance of conservation management in shifting the priorities of landowners, which could eventually lead to more sustainable systems.

Plant-animal relationship, metabolic and behavioral adaptations, and their association with production levels in primiparous cows in response to changes in herbage allowance in Basaltic native grasslands

Based on a two-level of herbage allowance (OF) with seasonal variations experiment, two experiments were conducted in spring-calving primiparous cows on basalt campos. Experiment 1 (Exp1) assessed high OF (AOF) and low OF (BOF) in cows undergoing temporary weaning and flushing (DTF) at the beginning of the breeding season, while Experiment 2 (Exp2) investigated the interaction between AOF and BOF levels pre and postpartum without DTF. Herbage quantity and height were generally below recommended values and they were higher in AOF during autumn and summer compared to BOF, explained by a lower stocking rate (~30%). In Exp1, AOF increased concentrations of IGF-I and insulin, and BCS in autumn, explained by higher herbage intake. These changes had a positive impact on IGF-I concentrations during winter and after the start of DTF in AOF compared to BOF, attributed to a carryover effect or metabolic memory, explaining the higher probability of ovulation and pregnancy. After DTF, AOF cows exhibited greater behavioral plasticity: a lower proportion of daytime spent grazing and more on rumination and walking, staying closer to their calves compared to BOF. The calves’ weight after 120 days was higher in AOF compared to BOF, associated with increased calves’ herbage intake and cow-calf proximity. In Exp2, BCS levels would have been sufficient to mitigate the negative energy balance in winter, explaining the absence of a prepartum OF effect. Postpartum AOF increased herbage intake compared to BOF and recorded higher concentrations of IGF-I, milk production, calf weight from 90 days, and the proportion of cows that ovulated. The OF affected the nutritional plane at different times between experiments; however, AOF in both experiments increased meat production per cow, biological efficiency and production per area associated with higher herbage intake, and metabolic and behavioral plasticity. The results contribute to the design of more productive, resilient and environmentally friendly systems.

Effects of cattle grazing on young spruce trees in boreal production forest

The compatibility of forest livestock grazing with timber production is disputed, as livestock can damage young trees through browsing and trampling. At the same time, livestock grazing might reduce the growth of competing vegetation and thereby enhance conifer forest regeneration. We investigated the effects of cattle (Bos taurus) on young spruce (Picea abies) trees in boreal production forest. We compared data from young spruce plantations within and outside of the grazing area, and during and off the cattle grazing season. Overall, stocking rates were 0.01 cows per hectare across the grazing areas. Cattle did not distribute equally, but concentrated their area use to young spruce plantations, leading to locally high densities during periods of the grazing season. Cattle removed vegetation competing with young spruce trees: Within the grazing area, the sward height of the field layer vegetation was lower, and young willow (Salix spec.) and downy birch (Betula pubescens) trees were browsed more than outside the grazing area. The annual height growth of spruce increased once the spruce grew above sward height. Spruce trees surrounded by many competing trees grew slower than those surrounded by few trees. Bent spruce trees grew slower than undamaged spruce trees. Yet, no difference in annual spruce growth was found between inside and outside the cattle grazing area. In contrast, we found a higher spruce mortality risk inside than outside the cattle grazing area. This mortality risk was very low and positively correlated with a given spruce tree's bark being damaged. Cattle did not increase the risk of damaged stem bark. This study did not succeed in pointing out the mechanism by which cattle might increase spruce mortality risk. Interestingly, the probability of being browsed and the probability of being bent were higher after winter than after summer, indicating that wild ungulates and snow might have a stronger effect on young spruce trees than summer grazing cattle at these stocking rates. In conclusion, cattle had minor effects on young spruce trees. This study suggests that at low stocking rates, forestry and livestock production in boreal production systems are compatible.

New Zealand's planted forests–Carbon stocks and yield in fast growing exotic tree plantations of the Southern Hemisphere

Every year New Zealand measures 1/5th of the permanent sample plots of the National Planted Forest Inventory administered by the Ministry for the Environment (MFE). This means that all plots are measured once during a five-year cycle to provide the full inventory, while each measurement year in its own right provides a random nationally-representative sample of New Zealand's plantation forests.Land-use change and planted forest area are highly dynamic in New Zealand compared to forests in many northern hemisphere countries and every year new plots are added to the inventory due to new afforestation areas. Over time, old plot data representing stands that have been recently harvested will be replaced with measurements of the new forests growing on these sites or will drop out altogether due to improvements in mapping or deforestation. This means that estimates from a single year's plot measurements can give different results from the previous year due to the changes that the plantation forest estate experiences from year to year.In this paper we analyse results for the latest measurement cycle (Panels 2016 - 2020) and identify any issues or trends in carbon stocks. We use all panel data plus data from previous periodic forest inventories to generate a fully representative yield table for all plantation forests in the sub-categories of Kyoto Protocol-compliant afforestation and other planted forests (“non-Kyoto”). Furthermore, we use an imputation approach to provide a statistically accurate representation of stock changes over time. The yield tables generated are used in MFE's Land Use Carbon Analysis System (LUCAS) to generate estimates of carbon stocks and stock changes for international reporting.The estimated mean carbon sequestration rate over the typical rotation for New Zealand's dominant plantation species is higher than the default range provided by the IPCC (Intergovernmental Panel on Climate Change). Predicted carbon sequestration in non-Kyoto planted forests (10.5 tC ha−1 yr−1) exceeds the estimated carbon sequestration in Kyoto-compliant planted forests (9.8 tC ha−1 yr−1) with both at the upper range of estimates for temperate plantation forests (IPCC). Current mean carbon stocks are significantly larger in Kyoto-compliant plantation forests (169 tC ha−1) than in non-Kyoto planted forests (108 tC ha−1) across New Zealand, largely because they are on average five years older. Estimated Mean annual increment, m3 ha−1 yr−1 expressed as a comparable index (“300Index”) indicates that Kyoto-compliant forest land has slightly higher productivity than non-Kyoto planted forests, but because the latter are composed of younger stands, greater carbon sequestration rates but lower current stocks are estimated. Plots with slower growing tree species such as Douglas-fir, cypresses and coastal redwood are now an increasing part of the Kyoto-compliant estate, reducing the overall sequestration rates for this forest type.

Blood Bank Inventory Control

Abstract: "Rakt Sewa" be advanced blood bank inventory portal having been designated for optimizing and streamlining the management of blood within hospitals and blood banks. This innovative system provide real-time tracking!! and reporting capabilities, enabling healthcare professionals to efficiently monitor availability and the usage of different blood groups. The portal facilitate instant access to vital inventory data, assist medical staff in making informed decisions quicklie, particularly in emergency situations where time is of an essence. The core function of "Rakt Sewa" include automated inventory updates, expiry tracking, and integration with hospital management systems to ensure data accuracy and reduce manual entry errors. It also feature customizable alerts for low stock levels and expiring units!!!!, aiding in maintaining optimal stock levels and minimizing waste. Moreover, "Rakt Sewa" support detailed reporting and analytics tools that offer insights into usage patterns, demand forecasting, and supply chain management, allowing for better planning and resource allocation.

Interconnectivity disrupted by fading globalization: a network approach to recent international trade developments

The post-World War II decades experienced rapid growth in international trade, but a trend of weakening globalization has been consolidating recently. We construct the international trade network (ITN) using bilateral trade (2010–2022) to assess how interconnectedness has evolved in the face of recent developments. Our analysis reveals that, while network connectivity initially improved, there has been a shift towards a negative trend since 2018, coinciding with an increasingly unfavorable environment for international trade. We also document significant changes in the roles of countries within the ITN. While the USA remains the primary hub and China solidifies its second position, key countries like Germany, France, Great Britain, and Japan have notably lost relevance, whereas nations like India and the Republic of Korea are gaining prominence. Finally, employing an econometric model, we show that countries with large economies, significant manufacturing sectors, lower inward foreign direct investment stock, and economic and geopolitical stability tend to occupy more central positions in the ITN.

Catch uncertainty and recreational fishing attraction: Propositions and future research directions

AbstractWhy do people fish for recreation? Social science literature suggests that both catch (e.g., number or sizes of fish) and non‐catch dimensions (e.g., nature experience, temporary escape) play a role. After reviewing the literature from environmental psychology, neuroscience, anthropology, recreational fisher motivation research as well as popular fishing books, I find that the opposite of catching fish, more specifically the uncertainty of the catch, maybe another, perhaps fundamental force that explains the attraction of the activity to millions of people. There appears to be strong utility in the gaming nature of the activity. This quality may contribute to explain various patterns that are well known, e.g., the overinvestment of time and money by recreational fishers that drastically exceed the market value of fish, the lack of self‐regulation of a local recreational fishery in terms of effort being spent also on low stock sizes, the disutility associated with providing certain catch probability information, diminishing marginal utility return for increasing catch rates, management regulations that make fishing harder than necessary, suboptimal satisfaction despite rising catch rates, and finally the dominance of men among populations of recreational fishers. I present a serious of testable propositions and call for a novel research focus that seeks to better understand what makes catch ambiguity attractive psychologically and emotionally.

European topsoil bulk density and organic carbon stock database (0–20 cm) using machine-learning-based pedotransfer functions

Abstract. Soil bulk density (BD) serves as a fundamental indicator of soil health and quality, exerting a significant influence on critical factors such as plant growth, nutrient availability, and water retention. Due to its limited availability in soil databases, the application of pedotransfer functions (PTFs) has emerged as a potent tool for predicting BD using other easily measurable soil properties, while the impact of these PTFs' performance on soil organic carbon (SOC) stock calculation has been rarely explored. In this study, we proposed an innovative local modeling approach for predicting BD of fine earth (BDfine) across Europe using the recently released BDfine data from the LUCAS Soil (Land Use and Coverage Area Frame Survey Soil) 2018 (0–20 cm) and relevant predictors. Our approach involved a combination of neighbor sample search, forward recursive feature selection (FRFS), and random forest (RF) models (local-RFFRFS). The results showed that local-RFFRFS had a good performance in predicting BDfine (R2 of 0.58, root mean square error (RMSE) of 0.19 g cm−3, relative error (RE) of 16.27 %), surpassing the earlier-published PTFs (R2 of 0.40–0.45, RMSE of 0.22 g cm−3, RE of 19.11 %–21.18 %) and global PTFs using RF models with and without FRFS (R2 of 0.56–0.57, RMSE of 0.19 g cm−3, RE of 16.47 %–16.74 %). Interestingly, we found that the best earlier-published PTF (R2 = 0.84, RMSE = 1.39 kg m−2, RE of 17.57 %) performed close to the local-RFFRFS (R2 = 0.85, RMSE = 1.32 kg m−2, RE of 15.01 %) in SOC stock calculation using BDfine predictions. However, the local-RFFRFS still performed better (ΔR2 &gt; 0.2) for soil samples with low SOC stocks (&lt; 3 kg m−2). Therefore, we suggest that the local-RFFRFS is a promising method for BDfine prediction, while earlier-published PTFs would be more efficient when BDfine is subsequently utilized for calculating SOC stock. Finally, we produced two topsoil BDfine and SOC stock datasets (18 945 and 15 389 soil samples) at 0–20 cm for LUCAS Soil 2018 using the best earlier-published PTF and local-RFFRFS, respectively. This dataset is archived on the Zenodo platform at https://doi.org/10.5281/zenodo.10211884 (S. Chen et al., 2023). The outcomes of this study present a meaningful advancement in enhancing the predictive accuracy of BDfine, and the resultant BDfine and SOC stock datasets for topsoil across the Europe enable more precise soil hydrological and biological modeling.

Increasing concentrations of dietary threonine, tryptophan, and glycine improve growth performance and intestinal health with decreasing stress responses in broiler chickens raised under multiple stress conditions

The current study aimed to compare the effects of increasing concentrations of dietary threonine (Thr), tryptophan (Trp), and glycine (Gly) on growth performance, stress biomarkers, and intestinal function in broiler chickens under multiple stress conditions. Five hundred sixty broiler chickens at 21 d old were randomly allotted to 5 treatments with 8 replicates. Birds in a positive control (PC) treatment were raised under low stock density (16.9 birds/m2 per cage) with recommended environmental conditions, whereas birds in 4 treatments were subjected to multiple stress conditions: a cyclic heat stress of 30 ± 0.3 °C for 10 h and 23 ± 0.2 °C for 14 h per day with high stock density (25.3 birds/m2 per cage). A basal diet was assigned to both PC and negative control (NC) treatments. Three additional diets were individually formulated to contain double concentrations of digestible Thr, Trp, or Gly + Ser compared with their concentrations in the basal diet. The experiment lasted for 14 d. Results showed that NC treatment had less growth performance (P < 0.001), jejunal goblet cell counts (P = 0.018), and trans-epithelial electrical resistance (TEER; P < 0.001), but greater (P = 0.026) feather corticosterone (CORT) concentrations than PC treatment. Thr treatment showed the least (P < 0.001) feed conversion ratio (FCR) among treatments under multiple stress conditions. Thr, Trp, and Gly treatments had less (P = 0.026) feather CORT concentrations, but had greater (P < 0.001) TEER than NC treatment. In conclusion, increasing concentrations of dietary Thr, Trp, or Gly improve the growth performance and intestinal health in broiler chickens with decreasing stress response under multiple stress conditions.