Growth Rate Of Consumption Research Articles

Water-saving strategies at hotels: which are more effective?

ABSTRACT Water overconsumption by tourists is nowadays a major environmental challenge, raising concerns for both hospitality managers and policymakers, especially in regions facing water stress. Hotels have implemented various strategies for water conservation, yet there remains limited knowledge regarding the comparative effectiveness of technological investments in contrast to other alternatives, such as green nudges, consumer awareness programmes, or environmental training for staff. This paper investigates the effects of several water-saving strategies on the growth rates of water consumption at hotels. Using panel data for 361 hotels in Colombia, we show that consumer awareness programmes, environmental training for staff, and environmental research and development (R&D) do not achieve the goal of reducing hotel water consumption. Importantly, our findings indicate that investments in technologically efficient devices lead to increases in water consumption, a result that is compatible with time-use rebound effects.

Construction of a Climate Early Warning System: Predicting Future Temperatures and Climate Security Using BiLSTM

In light of the worsening global climate, providing predictive models for surface temperature and energy consumption is crucial for formulating effective climate action strategies. Initially, a Bi-directional Long Short-Term Memory (BiLSTM) network model is established to predict the maximum surface temperatures over the next century, with the Seasonal AutoRegressive Integrated Moving Average (SARIMA) model serving as a benchmark. To assess the risk levels of climate security, the k-means clustering algorithm is utilized to classify the growth rates of carbon dioxide emissions, enabling the construction of a three-tier climate security early warning index. Subsequently, a hybrid classification model based on Support Vector Machine (SVM) and Random Forest (RF) takes the energy consumption growth rates as inputs and the warning indices as outputs to construct a climate security early warning system. The BiLSTM model is employed to predict the energy consumption growth rates for the upcoming decade, and these rates are input into the SVM-RF model to forecast future warning levels. The study demonstrates that the model can effectively predict the maximum surface temperatures and provide a three-tier safety warning system for future climate risk management. The intent of this research is to offer a novel tool for global climate prevention and to deliver practical application value to policymakers in finance, energy, and environmental sectors.

It Is Time to Reconsider the 3% Discount Rate

ObjectivesHealth technology assessment (HTA) guidance often recommends a 3% real annual discount rate, the appropriateness of which has received limited attention. This article seeks to identify an appropriate rate for high-income countries because it can influence projected cost-effectiveness and hence resource allocation recommendations. MethodsThe author conducted 2 Pubmed.gov searches. The first sought articles on the theory for selecting a rate. The second sought HTA guidance documents. ResultsThe first search yielded 21 articles describing 2 approaches. The “Ramsey Equation” sums contributions by 4 factors: pure time preference, catastrophic risk, wealth effect, and macroeconomic risk. The first 3 factors increase the discount rate because they indicate future impacts are less important, whereas the last, suggesting greater future need, decreases the discount rate. A fifth factor—project-specific risk—increases the discount rate but does not appear in the Ramsey Equation. Market interest rates represent a second approach for identifying a discount rate because they represent competing investment returns and hence opportunity costs.The second search identified HTA guidelines for 32 high-income countries. Twenty-two provide no explicit rationale for their recommended rates, 8 appeal to market interest rates, 3 to consistency, and 3 to Ramsey Equation factors. ConclusionsDeclining consumption growth and real interest rates imply HTA guidance should reduce recommended discount rates to 1.5 to 2+%. This change will improve projected cost-effectiveness for therapies with long-term benefits and increase the impact of accounting for long-term drug price dynamics, including reduced prices attending loss of market exclusivity.

Analysis of Biopharmaceutical Manufacturing Localisation in Russia Considering the Country of Origin of Active Pharmaceutical Ingredients

SCIENTIFIC RELEVANCE. Russia is pursuing a consistent government policy of import substitution and increasing the localisation of pharmaceutical manufacturing. The Strategy for the Development of the Pharmaceutical Industry until 2030 (Pharma-2030) includes the target share of medicinal products from the List of Strategic Medicines that should be fully localised. Since biotechnological medicinal products have high consumption growth rates and are listed as strategic medicines, it is a priority to study their production localisation process.AIM. This study aimed to analyse the degree of biopharmaceutical manufacturing localisation in Russia, considering the country of origin of active pharmaceutical ingredients (APIs).MATERIALS AND METHODS. The study used the State Register of Medicines and sales data of the DSM Group marketing agency. The authors used custom software for the Node.js® platform to determine the degree of production localisation.RESULTS. The analysis showed that the production process was fully localised for 25.6% (in packages) and 26.6% (in roubles) of all biotechnological medicinal products consumed in Russia in 2022. Imported medicinal products dominated the consumption structure, with a share of 33.9% in packages and 31.3% in roubles. Medicinal products with localised secondary packaging accounted for 5.8% in packages and 25.9% in roubles. Finished dosage forms produced using imported APIs had a significant share of 23.7% in packages and 6.2% in roubles. Russian APIs were used to produce 79% of the biotechnological medicinal products listed as strategic medicines, which corresponded to the full localisation of a share of the consumption structure of 10.8% in packages and 32.3% in roubles.CONCLUSIONS. The Russian biotechnological market remains heavily dependent on imported finished medicinal products and APIs. Although the Pharma-2030 target for the production of strategic biotechnological products has been achieved, the quantitative indicators show the necessity to increase output and localisation.

Estimation of Energy Storage Requirements in an Independent Power System from an Energy Perspective

Taiwan’s power system operates as an isolated grid, preventing the export of surplus energy. Excess electricity is either stored or discarded (curtailed). This study aims to estimate the energy storage requirement for the day with the most extreme electricity consumption behavior in a year without energy curtailment. Based on the installed capacity and actual power generation of renewable energy sources in 2022, this research estimates the power generation per GW of the installed capacity at full load. Integrating the government’s annual installation capacity plans, this study forecasts the annual power generation of renewable sources. Using the electrical load during the 2023 Spring Festival as a baseline and assuming an annual electricity consumption growth rate of 2%, combined with a minimum gas power output of approximately 6 GW, this study calculates the unused power generation, which represents the pumped-storage hydroelectricity and battery energy storage systems requirements for that day under a no-curtailment scenario. Considering the semi-annual adjustments in installation planning, this study’s code is open-sourced and designed to provide updated results with new planning data input, facilitating ongoing adjustments.

Impact of medical insurance access negotiation on the utilization of innovative anticancer drugs in China: an interrupted time series analysis

BackgroundThe high costs of innovative anticancer drugs hinder a number of cancer patients’ access to these drugs in China. To address this problem, in 2018, the medical insurance access negotiation (MIAN) policy was implemented, when the prices of 17 innovative anticancer drugs were successfully negotiated and they were therefore included in the reimbursement list. This study aimed to explore the impact of the MIAN policy on the utilization of innovative anticancer drugs.MethodsWith monthly data on drug expenditures and defined daily doses (DDDs) of each innovative anticancer drug from January 2017 to December 2019, interrupted time series analysis was employed to estimate both the instant (change in the level of outcome) and long-term (change in trends of outcomes) impacts of the MIAN policy on drug utilization in terms of drug expenditures and DDDs. Our sample consists of 12 innovative anticancer drugs.ResultsFrom January 2017 to December 2019, the monthly drug expenditures and DDDs of 12 innovative anticancer drugs increased by about 573% (from US$8,931,809.30 to US$51,138,331.09) and 1400% (from 47,785 to 668,754), respectively. Overall, the implementation of the MIAN policy led to instant substantial increases of US$8,734,414 in drug expenditures and 158,192.5 in DDDs. Moreover, a sharper upward trend over time was reported, with increases of US$2,889,078 and 38,715.3 in the monthly growth rates of drug expenditures and DDDs, respectively. Regarding individual innovative anticancer drugs, the most prominent instant change and trend change in drug utilization were found for osimertinib, crizotinib, and ibrutinib. In contrast, the utilization of pegaspargase was barely affected by the MIAN policy.ConclusionsThe MIAN policy has effectively promoted the utilization of innovative anticancer drugs. To ensure the continuity of the effects and eliminate differentiation, supplementary measures should be carried out, such as careful selection of drugs for medical insurance negotiations, a health technology assessment system and a multichannel financing mechanism.

Evaluation and Modeling of Green Energy Consumption in North Sumatra, Indonesia

This paper discusses the level of green energy consumption in North Sumatra from 2020 to 2022 using the entropy method, the breakpoint method, and the integrated method. These three methods are applied to determine the feasibility of using new renewable energy. The three methods will be compared to each other to determine accuracy and options for analyzing models in the future. The level of green energy users from 2020 to 2022 generally shows a relatively stable and sustainable upward trend. During the 3 years there were fluctuations caused by the large growth rate of total energy consumption in North Sumatra, which increased by 6.35% from the previous year, and the level of urban green energy consumption grew steadily, which provided a more stable increase in user levels green energy with a sharp increase in the previous year. However, there are significant gaps in green energy consumption levels between cities. The contribution of this research is to select a model that will be applied in North Sumatra and provide input for policymakers regarding future energy and can have a positive impact on technological innovation, industry, and financial support in particular.

Investigating the Impact of Consumption Distribution on CRRA Estimation: Quantile-CCAPM-Based Approach

Abstract Using quantile maximization decision theory, this paper considers a quantile-based Euler equation that states that the asset price is a function of the quantiles of the payoff, consumption growth, the stochastic discount factor, risk aversion, and the distribution of the consumption growth rate. We use a more general distribution assumption (log-elliptical distributions) than the log-normality of the consumption growth rate assumed in the literature. The simulation results show that: (1) the higher the downside risk aversion, the lower the constant relative risk aversion; (2) the heavier the tails of the Student-t distribution, the higher the risk aversion for each level of downside risk aversion; and (3) the curve of the relationship between risk aversion and downside risk aversion shifts upward when the normality assumption is dropped, and the magnitude of this shift is high even for high degrees of freedom of the Student-t distribution. Our results suggest that using normally distributed errors to model stock returns and consumption growth rates could lead to an underestimation of the risk aversion coefficient.

Salience effect and yield curve

This paper studies the influence of salience on nominal and real yield curves by introducing the salience effect in the Piazzesi and Schneider model (hereafter PS). We construct the salience values based on the expected consumption growth using U.S. data. We find that salience values are negatively correlated with the expected consumption growth rates. Based on U.S. data from 1960q1 to 2020q4, we find that the salience model can generate upward nominal and real yield curves within reasonable risk aversion coefficients (less than 10), as well as well-fitted average yields with actual data. The salience model compensates for the PS or recursive preference model’s inability to generate an upward nominal or real yield curve within reasonable risk aversion. Furthermore, we provide empirical support for model implications.

Testing the Baumol Cost Disease Hypothesis in the Health Sector of Sub-Saharan Africa

ABSTRACT: This paper takes a closer look at the well-researched topic of the determinants of health expenditure. However, as an improvement over previous studies, the current study tested the cost disease hypothesis in the healthcare sector in sub–Saharan Africa to assess the sector’s productivity. The cross-sectional units in the current study comprise forty-eight sub-Saharan African countries; spanning the period 2000 to 2020. The data was sourced from two main sources; namely, World Development Indicators and the ILOSTAT . The main variable of interest ( Baumol variable) was constructed using a combination of various variables. The methodology relied on several econometric techniques i.e., fixed effect, random effects and two-stage least square estimations. The growth rate of gross fixed capital formation was used to control for the potential reverse causation between the growth rate of health expenditure per capita and the Baumol variable. Based on the empirical results from the various estimations, it appears that there is some evidence of the presence of the cost disease in the healthcare sector of sub–Saharan Africa. This effect became stronger when the endogeneity in the model was taken into consideration. However, this effect became greatly diminished after the growth rate of GDP per capita and the growth of the price level were introduced in the model. The statistical significance of the growth rate of these variables reinforces their important roles in the determination of the levels and growth in health expenditure. The confirmation of the basic Baumol model in determining the growth of health expenditure suggests that the growth of health expenditure in sub-Saharan Africa might be a result of health workers’ wages outstripping productivity in the sector. This suggests that the inelastic nature of the demand for health care is the main driver of the growth of health expenditure; thus might not be reflected in improved health care. Furthermore, policymakers need to consider changes in the price level as it may deflate the real value of the budgetary amount.

THE CONSEQUENCES OF A FORCED MIGRATION SHOCK FOR THE ECONOMY OF A COUNTRY AT WAR: THE CASE OF UKRAINE

The full-scale war in Ukraine, which started with the Russian invasion in February 2022, has led to an unprecedented forced migration crisis not seen in Europe since the Second World War. The current Ukrainian forced displacement, which has no analogues in terms of its scale, geographical coverage, quantitative indicators and timeframe, represents an exceptional case to study in terms of its impact on the economic environment of the country of origin. The purpose of this paper is to identify and analyse the short- and long-term effects of the forced migration shock on the economy of a combatant country in the context of a full-scale war in Ukraine. Methodology. To address the task of classifying the economic consequences of a forced migration shock from the perspective of the country of origin, the publication uses the matrix diagram method. The matrix developed is based on two key characteristics that indicate the durability of the impact (short-term or long-term) and the nature of the impact (explicit or implicit). The analysis of the short-term and long-term effects of forced migration on the Ukrainian economy is based on macroeconomic statistics (key macroeconomic indicators, labour market indicators, public finance indicators, external sector statistics) in the pre-war period, the war period since 2022, and forecasts for 2024-2025. Results. Unlike regular labour migration, forced migration has a predominantly negative impact on the economy of a country of origin, both in the short and long term. The explicit effect of forced migration on the economic system of the country of origin is to damage the labour market. The implicit effects include a decrease in remittances, a reduction in production facilities, an increase in the budget deficit and regional budget imbalances, an increase in the level of external and internal debt, increased dependence on international aid, a decrease in consumption, investment and GDP growth rates. Practical implications. The practical results provide a basis for further research into policy measures to address the negative aspects of increasing migration processes in Ukraine, particularly with a view to the country's future post-war reconstruction. Value/Originality. The matrix developed to assess the impact of the forced migration shock provides a deeper understanding of the multifaceted effects of this phenomenon on the socio-economic system of a country at war.

Dynamic distribution, regional differences and convergence of health workforce allocation in township health centers in China

This study evaluated the dynamic distribution, regional differences, and convergence of health workforce allocation in Township Health Centers in China during 2011–2020 using data obtained from the China Health Statistics Yearbook (2012–2021). The Gini coefficient and kernel density estimation were chosen to examine the dynamic distribution and regional differences in health workforce allocation in Township Health Centers in China and their components. σ convergence and β convergence were used to investigate the change trend of health workforce allocation in Township Health Centers. The results show that between 2011 and 2020, the number of licensed doctors and registered nurses per thousand population in Township Health Centers both increased largely and regional disparities still exist. In 2020, the largest differences in the density of licensed doctors and registered nurses were found in the eastern and central regions, respectively, and the intensity of trans-variation contributed the most to the overall disparities. The allocation of licensed doctors and registered nurses both exhibited σ convergence, absolute and conditional β convergence, indicating that the regional differences in health workforce in THCs among provinces will decrease. The growth of healthcare workforce was positively impacted by the urbanization rate, growth rate of government health expenditures and growth domestic product per capita, but negatively impacted by population density in rural areas and fiscal self-sufficiency.

ANALYTICAL REVIEW OF MODERN NON-CONVENTIONAL ENERGY SOURCES

The structure of the world energy economy has developed in such a way that 80 % of the electricity consumed is obtained by burning fuel at power plants, where the chemical energy of the fuel is first converted into heat, heat into work, and work into electricity. Hydropower also provides a significant percentage (about 15 %), the rest is covered by other sources, mainly nuclear power plants. Human needs are growing, there are more and more people, and this causes gigantic volumes of energy production and growth rates of its consumption. Today, traditional energy sources (various fuels, hydro resources) and technologies for their use are no longer able to provide the required level of energy availability of society, because these are non-renewable sources. And although the explored reserves of natural fuels are very large, the problem of depletion of natural reserves at the current and projected rates of their development is moving into a real and near future. Even today, a number of fields, due to depletion, turn out to be unsuitable for industrial development, and for oil and gas, for example, one has to go to hard-to-reach, remote territories, to ocean shelves, etc. The forecast proves that while maintaining the current volumes and growth rates of energy consumption at 5–7 %, fossil fuel reserves will completely run out in 70–150 years. Another factor limiting a significant increase in energy production through fuel combustion is the ever-increasing environmental pollution from energy production waste. These wastes are significant in mass and contain a large number of various harmful components. This is where acid rain comes from, the disappearance of ozone, the poisoning of farmland and water bodies. Moreover, nature is no longer able to process these pollution and self-repair by natural physico-chemical and microbiological methods.
 In nuclear power, environmental problems of a different kind arise. They are associated with the need to exclude the ingress of nuclear fuel into the environment and the reliable disposal of nuclear waste, which, with the current level of development of technology and technology, is associated with great difficulties.
 No less harmful is the thermal pollution of the environment, which can lead to global warming of the Earth's climate, melting of glaciers and rising sea levels.
 In the light of the above, the widespread practical use of non-traditional and renewable energy sources, which are also environmentally friendly and do not pollute the environment, is becoming increasingly relevant.
 The article briefly presents an analytical review of modern non-traditional and renewable energy sources.

Urban‒rural disparities in household energy and electricity consumption under the influence of electricity price reform policies

The gap in electricity consumption between urban and rural households under the influence of electricity price reform policies remain largely unexplored. We construct a mechanistic framework for the impact of the electricity price reform policy on the electricity consumption behaviour of urban and rural residents, and evaluates the carbon reduction effect of the policy guidance through data obtained from a large-scale household energy consumption survey from January 2020 to May 2021. The results of the study show the followings: (1) The daily electricity consumption of rural households is larger and more volatile than that of urban households. However, the growth rate of household electricity consumption of urban residents is larger than that of rural residents. (2) The electricity price reform policy mainly influences urban and rural residents' household electricity consumption behaviour by driving demand motives and comfort motives. (3) Under policy intervention, rural residents’ household energy consumption will decline at a faster rate, and urban residents' total household energy consumption will decline faster before 2025 and then remain in a stable state. To achieve the carbon peak and carbon neutrality goals of the energy system, the low-carbon energy use behaviour of residents can be guided by differentiated policies.

Cross-examining the influence of upwelling and seaweed quality on herbivores’ feeding behavior and growth

At the regional scale, upwelling conditions are known to influence ecosystems and communities and their primary and secondary productivity. However, the influence of upwelling on local herbivore-algae interactions is less well understood. We address this question by cross-examining herbivores and seaweeds from sites associated with upwelling and downwelling conditions along the Humboldt Current System. Specifically, we quantified the feeding and benefits attained by the black sea urchin (Tetrapygus niger) and the black sea snail (Tegula atra) while consuming a widespread kelp species (Lessonia spicata). We hypothesized that food quality drives herbivores' preference, consumption, and growth rates, regardless of the origin or “prior” conditions of the consumers. Laboratory trials measured algal consumption rates with (preference) and without a choice, and consumer's growth rates, to assess the influence of food quality (algae from upwelling vs downwelling sites) and the site of origin of the consumers. Our results showed that algal quality was a prevailing factor for both herbivores: they chose, consumed more, and grew faster on high quality (upwelling) algae. By comparison, the origin of the consumer was only significant for sea snails: those coming from an upwelling site, consumed significantly more and grew faster than those from downwelling. The bulk of our results provided strong support to our hypothesis and suggest that the high nutritional quality of algae associated with upwelling centers has a strong influence on consumers' preferences, consumption, and performance (growth). The fact that origin was found to be relevant for one of the herbivores suggests that the conditions in which species grow may dictate some of their efficiency as consumers.

Advancements in Phase Change Materials: A Path to Sustainable Energy Solutions in China

With the rapid development of China, the country's demand for energy has significantly increased. According to the "World Energy Outlook 2020," China's annual average growth rate of primary energy consumption is 1.9%, and it is predicted that China's energy consumption will account for over 20% of global energy consumption by 2050. In the energy budget, 90% is allocated to thermal energy conversion, transmission, and storage. Facing an impending energy crisis, enhancing energy production while minimizing energy loss has become a matter of widespread concern. Phase Change Materials (PCMs), also called phase change energy storage materials, have garnered attention as a novel energy-efficient and environmentally friendly material. PCMs refer to substances that undergo a change in state and provide latent heat without changing their temperature. Phase change thermal storage materials utilize phase transitions during heat exchange processes to store energy by means of these phase changes. Compared to chemical energy storage materials, PCMs offer high thermal efficiency and energy storage density, maintain constant temperature, and are more easily controllable. They hold great potential as a promising material in the field of thermal energy storage and have been widely applied in areas such as solar energy, lithium batteries, building insulation, and medical applications. This article offers a comprehensive overview of the principles and classification of Phase Change Material (PCM), including organic PCM, inorganic PCM, and composite PCM. It discusses their applications in solar thermal energy storage, cooling of photovoltaic panels, building materials, and industrial waste heat recovery. The article also highlights China's research and development efforts in these areas, emphasizing the country's significant contributions to advancing PCM technology.

Study on the Change of Power Consumption Structure in Xumai Township, Nimu County, Lhasa, Xizang

The research on the evolution of rural power consumption structure in Xizang reflects the information on rural power development in Xizang, and the information on rural power development shows the people's living standards and demand trends. In order to understand the depth of changes in the power consumption structure of farmers and herdsmen households, the project team conducted a field survey of the changes in power supply sources, power consumption structure, power consumption equipment, and operation and management status of Sumai Township, a typical village in Nimu County, Lhasa City, Xizang over the years, and explored the history and trend of power development in remote villages in Xizang. Field research has found that before 2014, the township mainly relied on small-scale independent solar photovoltaic power supply, which was almost used for lighting; Since the implementation of the State Grid in 2014, electricity consumption has shifted from low voltage to wide voltage. In the past three years, the annual electricity consumption growth rate in Xumai Township has exceeded 6%, and the power supply stability has reached 90%. At the same time, the township utilizes solar photovoltaic street lights. The electrical appliances used have developed from a single lamp to power appliances such as household appliances, agricultural electric vehicles, tsamba machines and oil presses. The distribution line of the township is gradually being replaced with medium and low voltage, and is equipped with a 35kV Xumai substation. The 10kV medium and low voltage distribution network project of the rural power grid is gradually being put into operation and put into practice. However, research has found that villagers hope to use more clean energy such as solar energy for power supply and heating, in order to reduce the cost of electricity and gas bills.

Optimal allocations in growth models with private information

This paper considers a class of growth models with idiosyncratic human capital risk and private information about individual effort choices (moral hazard). Households are infinitely-lived and have preferences that allow for a time-additive expected utility representation with a one-period utility function that is additive over consumption and effort as well as logarithmic over consumption. Human capital investment is risky due to idiosyncratic shocks that follow a Markov process with transition probabilities that depend on effort choices. The production process is represented by an aggregate production function that uses physical capital and human capital as input factors. We show that constrained optimal allocations are simple in the sense that individual effort levels and individual consumption growth rates are history-independent. Further, constrained optimal allocations are the solutions to a recursive social planner problem that is simple in the sense that exogenous shocks are the only state variables. We also show that constrained optimal allocations can be decentralized as competitive equilibrium allocations of a market economy with a simple tax- and transfer scheme. Finally, it is always optimal to subsidize human capital investment in the market economy.

Study on the Relationship between Energy Structure Change and Economic Structure in China

Since 1978, China's economic growth rate has attracted international attention. While China's economy has maintained rapid growth, energy consumption has shown an opposite trend, namely, the growth rate of energy consumption has slowed down, and the energy consumption intensity of the national economy has continued to decline. The tertiary industry is underdeveloped, and the producer service industry is stagnant, with outstanding problems. It is worth noting that the proportion of China's industrial added value in GDP(Gross Domestic Product) exceeded the peak value of developed countries during the Wang Yehua period. Under the new normal of economic growth shift and tight resource and environment constraints, structural contradictions will become more prominent in the coming period. In order to practice the low-carbon economic model, the government puts forward the requirements of ensuring China's energy and economic security and accelerating the transformation of energy revolution and economic development mode. However, structural adjustment is not a simple superposition of policies and measures. This paper studies the relationship between energy structure change and economic structure in China. Structural adjustment is not simply the superposition of policies and measures. We must also with comprehensive consideration of energy supply security and use security, so as to provide decision-making basis for ensuring energy security and carrying out national macro-control.

The comprehensive effect of natural food quality and quantity on growth rate of herbivore consumers

The performance of herbivore consumers in freshwater ecosystems is influenced by food quality and quantity, which are crucial factors in understanding energy flow. However, the comprehensive effects of these factors on consumer growth based on natural food research remain unclear. To address this gap, we conducted a growth experiment culturing the Cladocera Daphnia similis in natural lake water collected from 30 subtropical lakes. Our results showed that the seston concentration (SC), seston phosphorus (seston P), and seston carbon: phosphorus ratio (seston C:P, in moles) were the most important factors in influencing the growth rate of D. similis according to the Random Forest model. Specifically, the growth rate of D. similis was significantly positive correlated with SC and seston P, and significantly negative correlated with seston C:P. D. similis exhibited the optimal growth performance within the seston C:P range of 32.8 to 69.8, with a sharp decline in growth rate observed at a break point of seston C:P of 70. The combined effect of food quality and quantity on growth rate was that higher SC (≥0.26 mg C/L), lower seston C:P (≤69.80), and higher P (≥0.11 mmol/g) were associated with significantly higher growth rates. Additionally, the growth rate increased significantly with the biomass of cryptophyte, indicating the importance of food composition. Our study shows that the growth rate of D. similis is co-affected by the quality and quantity of natural food. SC, seston C:P, seston P and algae composition are reliable indicators for assessing the growth rate of consumer in freshwater ecosystems. The inhibitory effect of low C:P on consumer growth should be applied with caution when assessing the development of herbivore consumers in natural lakes.