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Academic literature on the topic 'Population Growth Model'

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Published: 6 September 2023

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Journal articles on the topic "Population Growth Model"

Awadalla, Muath, Yves Yannick Yameni Noupoue, and Kinda Abu Asbeh. "Psi-Caputo Logistic Population Growth Model." Journal of Mathematics 2021 (July 26, 2021): 1–9. http://dx.doi.org/10.1155/2021/8634280.

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This article studies modeling of a population growth by logistic equation when the population carrying capacity K tends to infinity. Results are obtained using fractional calculus theories. A fractional derivative known as psi-Caputo plays a substantial role in the study. We proved existence and uniqueness of the solution to the problem using the psi-Caputo fractional derivative. The Chinese population, whose carrying capacity, K, tends to infinity, is used as evidence to prove that the proposed approach is appropriate and performs better than the usual logistic growth equation for a population with a large carrying capacity. A psi-Caputo logistic model with the kernel function x + 1 performed the best as it minimized the error rate to 3.20% with a fractional order of derivative α = 1.6455.

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T. Alkahtani, Badr Saad, Abdon Atangana, and Ilknur Koca. "New nonlinear model of population growth." PLOS ONE 12, no. 10 (October 24, 2017): e0184728. http://dx.doi.org/10.1371/journal.pone.0184728.

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Montiel-Arzate, Elia, Hector Echavarrı́a-Heras, and Cecilia Leal-Ramı́rez. "A functionally diverse population growth model." Mathematical Biosciences 187, no. 1 (January 2004): 21–51. http://dx.doi.org/10.1016/j.mbs.2003.08.009.

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Rodin, E. Y., and R. T. Williams. "A matrix model of population growth." Mathematical and Computer Modelling 10, no. 4 (1988): 299–306. http://dx.doi.org/10.1016/0895-7177(88)90007-6.

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Vance, R. R., and E. A. Coddington. "A nonautonomous model of population growth." Journal of Mathematical Biology 27, no. 5 (September 1989): 491–506. http://dx.doi.org/10.1007/bf00288430.

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Mohamad Radzi, Nurul Ashikin, Haliza Abd Rahman, Shariffah Suhaila Syed Jamaludin, and Arifah Bahar. "Exponential Growth Model and Stochastic Population Models: A Comparison via Population Data." Malaysian Journal of Fundamental and Applied Sciences 18, no. 1 (February 28, 2022): 60–69. http://dx.doi.org/10.11113/mjfas.v18n1.2402.

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A population dynamic model explains the changes of a population in the near future, given its current status and the environmental conditions that the population is exposed to. In modelling a population dynamic, deterministic model and stochastic models are used to describe and predict the observed population. For modelling population size deterministic model may provide sufficient biological understanding about the system, but if the population numbers do become small, then a stochastic model is necessary with certain conditions. In this study, both types of models such exponential, discrete-time Markov chain (DTMC), continuous-time Markov chain (CTMC) and stochastic differential equation (SDE) are applied to goat population data. Results from the simulations of stochastic realisations as well as deterministic counterparts are shown and tested by root mean square error (RMSE). The SDE model gives the smallest RMSE value which indicate the best model in fitting the data.

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O. Aiyedogbon, John, Sarah O. Anyanwu, Grace Hezekiah Isa, Yuriy Petrushenko, and Olena Zhuravka. "Population growth and food security: Evidence from Nigeria." Problems and Perspectives in Management 20, no. 2 (June 14, 2022): 402–10. http://dx.doi.org/10.21511/ppm.20(2).2022.33.

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The average agriculture output growth between 2011–2020, which stood at 3.5% against the backdrop of over 2.6% population growth rate, accounts for the present food insecurity, hunger, and malnutrition in Nigeria. The study aims to examine the impact of population growth on food security in Nigeria with data covering 1986–2020. The study employed two models: the first model analyzed agriculture output as a function of population growth rate. The second model examined the impact of population growth and agriculture productivity on economic growth. The Cochrane-Orcutt iterative method on an ordinary least squared (OLS) was employed. The study results found that population growth had a significant impact on agriculture output. However, the paper further substantiated that economic growth is significantly and positively responsive to changes in agriculture output and population growth rate in Nigeria. Among other things, the study recommended the government consider an increase in budget allocation to the agriculture sector so as to boost food output. Finally, the government may also consider introducing a policy that would encourage small families, thereby reducing the country’s population growth rate.

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Khodabin, Morteza, and Neda Kiaee. "Stochastic Dynamical Theta-Logistic Population Growth Model." SOP Transactions on Statistics and Analysis 2014, no. 3 (October 31, 2014): 1–15. http://dx.doi.org/10.15764/stsa.2014.03001.

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Tiebout, Charles M. "COMMUNITY INCOME MULTIPLIERS: A POPULATION GROWTH MODEL‡." Journal of Regional Science 2, no. 1 (July 28, 2006): 75–84. http://dx.doi.org/10.1111/j.1467-9787.1960.tb00836.x.

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Kajanovičová, Viktória, Branislav Novotný, and Michal Pospíšil. "Ramsey model with non-constant population growth." Mathematical Social Sciences 104 (March 2020): 40–46. http://dx.doi.org/10.1016/j.mathsocsci.2020.01.004.

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Dissertations / Theses on the topic "Population Growth Model"

Håkansson, Nina. "Population growth : analysis of an age structure population model." Thesis, Linköping University, Department of Mathematics, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-4392.

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This report presents an analysis of a partial differential equation, resulting from population model with age structure. The existence and uniqueness of a solution to the equation are proved. We look at stability of the solution. The asymptotic behaviour of the solution is treated. The report also contains a section about the connection between the solution to the age structure population model and a simple model without age structure.

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Tavos, Farid. "How elderly population effects economic growth." Thesis, Mälardalens högskola, Akademin för ekonomi, samhälle och teknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-40834.

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Le, Roux Johan. "Industrial robot population density and the neoclassical growth model." Diss., University of Pretoria, 2017. http://hdl.handle.net/2263/59851.

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Neoclassical economic growth model theory identifies technology as a key promotor of productivity and long-run economic growth. Theory and literature on the subject has grown significantly since Robert Solow's seminal work in 1956. Notwithstanding the substantial literature, gaps remain in several aspects, including the establishment of suitable metrics that can be applied to assess the impact and influence of certain technologies, and in particular industrial robots, on the modern economy. Given these gaps in knowledge, the aim of this study was to support exploratory research that has found industrial robot density, as a proxy for technology and automation, to be a relevant metric that correlates with productivity and economic growth. Decision and policy makers aiming to improve manufacturing productivity and economic development should find this metric and the associated analysis beneficial in achieving a better understanding of forces that influence economic performance. This research was quantitative by design, and used inferential analysis of data from diverse countries. The suitability of industrial robot density as an econometric measure was tested with statistical methods. Strong statistical correlations were found between industrial robot density, productivity and economic growth in the manufacturing sector. These findings supported existing growth theory quantitatively, while addressing limitations in previous research by using a larger sample that included developing countries for the first time.
Mini Dissertation (MBA)--University of Pretoria, 2017.
pa2017
Gordon Institute of Business Science (GIBS)
MBA
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Pignotti, Elettra <1958&gt. "Parameter estimation in a growth model for a biological population." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amsdottorato.unibo.it/5169/2/Pignotti_Elettra_tesi.pdf.

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The motivating problem concerns the estimation of the growth curve of solitary corals that follow the nonlinear Von Bertalanffy Growth Function (VBGF). The most common parameterization of the VBGF for corals is based on two parameters: the ultimate length L∞ and the growth rate k. One aim was to find a more reliable method for estimating these parameters, which can capture the influence of environmental covariates. The main issue with current methods is that they force the linearization of VBGF and neglect intra-individual variability. The idea was to use the hierarchical nonlinear model which has the appealing features of taking into account the influence of collection sites, possible intra-site measurement correlation and variance heterogeneity, and that can handle the influence of environmental factors and all the reliable information that might influence coral growth. This method was used on two databases of different solitary corals i.e. Balanophyllia europaea and Leptopsammia pruvoti, collected in six different sites in different environmental conditions, which introduced a decisive improvement in the results. Nevertheless, the theory of the energy balance in growth ascertains the linear correlation of the two parameters and the independence of the ultimate length L∞ from the influence of environmental covariates, so a further aim of the thesis was to propose a new parameterization based on the ultimate length and parameter c which explicitly describes the part of growth ascribable to site-specific conditions such as environmental factors. We explored the possibility of estimating these parameters characterizing the VBGF new parameterization via the nonlinear hierarchical model. Again there was a general improvement with respect to traditional methods. The results of the two parameterizations were similar, although a very slight improvement was observed in the new one. This is, nevertheless, more suitable from a theoretical point of view when considering environmental covariates.

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Smith, Garrett Paul. "Immunocontraceptive vaccines against brucellosis and population growth in feral swine." Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/77987.

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Feral swine are a nuisance species across the United States that costs around $1.5 billion each year in agricultural, environmental, and personal property damages. In the last ten years the population of feral swine is estimated to have quadrupled and novel population control methods are needed. Furthermore, feral swine are known carriers of zoonotic diseases such as brucellosis, which threatens both livestock biosecurity and public health. Recombinant multimeric gonadotropin-releasing hormone (mGnRH) has been previously used as a subunit vaccine to induce immunocontraception in feral pigs. However, potent adjuvants and large amounts of purified antigen are needed to elicit a robust anti-GnRH immune response and current delivery methods are limited. Brucella suis strain VTRS2 can be used as a novel platform to deliver mGnRH without the use of antibiotic resistant markers. Strain VTRS2 was created by deletion of the LPS biosynthesis gene wboA as well as the leuB gene required for leucine biosynthesis inside the nutrient-depleted intracellular environment occupied by Brucella. Mutations in wboA are known to attenuate Brucella strains such as the vaccine strain B. abortus RB51, however strain RB51 is rifampin resistant and has poor efficacy in swine. Strain VTRS2 confers significant protection against B. suis challenge in mice and additionally shows evidence of protection in feral swine. Furthermore, the mGnRH antigen can be delivered using the pNS4 plasmid (which expresses leuB under its native promoter) thus maintaining the plasmid in strain VTRS2 under leucine-deficient conditions while expressing recombinant antigen in the host. The murine model was used to determine the clearance kinetics of strain VTRS2-mGnRH and to measure vaccine efficacy against challenge by virulent B. suis 1330. Subsequently the effects of the VTRS2-mGnRH vaccine on fertility were assessed in breeding trials in mice. Strains VTRS2 and VTRS2-mGnRH were found to be protective against virulent Brucella suis challenge. Strain VTRS2-mGnRH elicited an anti-mGnRH antibody response in vaccinated mice, though an effect on fertility was not observed. An improved vaccine against brucellosis in swine, which also confers immunocontraception without the introduction of antibiotic resistance, could become an important tool in the management of this nuisance invasive species.
Ph. D.

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Kuhle, Wolfgang. "The optimum growth rate for population in the neoclassical overlapping generations model." Frankfurt, M. Berlin Bern Bruxelles New York, NY Oxford Wien Lang, 2006. http://d-nb.info/985753951/04.

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Grafeneder-Weissteiner, Theresa, and Klaus Prettner. "Agglomeration and population aging in a two region model of exogenous growth." Inst. für Volkswirtschaftstheorie und -politik, WU Vienna University of Economics and Business, 2009. http://epub.wu.ac.at/1670/1/document.pdf.

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This article investigates the effects of introducing demography into the New Economic Geography. We generalize the constructed capital approach, which relies on infinite individual planning horizons, by introducing mortality. The resulting overlapping generation framework with heterogeneous individuals allows us to study the effects of aging on agglomeration processes by analytically identifying the level of trade costs that triggers catastrophic agglomeration. Interestingly, this threshold value is rather sensitive to changes in mortality. In particular, the introduction of a positive mortality rate makes the symmetric equilibrium more stable and therefore counteracts agglomeration tendencies. In sharp contrast to other New Economic Geography approaches, this implies that deeper integration is not necessarily associated with higher interregional inequality.
Series: Department of Economics Working Paper Series

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Urbanová, Kateřina. "Simulační model populačního vývoje." Master's thesis, Vysoká škola ekonomická v Praze, 2008. http://www.nusl.cz/ntk/nusl-12083.

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In this thesis, called a simulation model of population growth, there was created the simulation model of a population growth in the Czech Republic to the year 2052. First there was constructed the projection through the component method used in demography. Deterministic values obtained by this method are then used in the simulation analysis. In the simulation analysis there was conducted an experiment with three variables which influence the population growth (the fertility, life expectancy/the coefficient of the decline of the probability of the death/ and the migration balance). With the support of the Crystal Ball, supporting program for Excel, which provides the possibility of the simulations, there was determined the stochastic character of the three variables. There are created the low, medium and high variant of the projections, as well as three other possible variants of population growth that might occur. These variations are called economic crisis, friendly migration policy and restrictive migration policy.

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O'Neill, Deborah M. "Estimating Black Bear Population Size, Growth Rate, and Minimum Viable Population Using Bait Station Surveys and Mark-Recapture Methods." Thesis, Virginia Tech, 2003. http://hdl.handle.net/10919/34140.

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We initiated bait station surveys for black bears in southwestern Virginia in 1999. Bait station surveys are intended to be used as an index to follow bear population trend over time. We compared the bait station visitation (black bear visitation) to black bear harvest and mast surveys 1999 = 2002. The mean bait station visitation rate during 1999 - 2002 was 15.3% (SE = 2.89, n = 4). The number of bears harvested in the 3 counties that also had bait station surveys was 48 (31 males, 17 females), 59 (44 males, 15 females), 45 (32 males, 13 females), and 43 (26 males, 17 females) in 1999, 2000, 2001, and 2002, respectively. Harvest of males and females differed (n = 2, F = 19.44, df = 1, P = 0.0045). Bait station visitation and female harvest had a strong functional relationship with a negative slope (n = 4, r = -0.78, P = 0.22). The strongest relationship was between male harvest and total harvest (n = 4, r = 0.97, P = 0.03). Mean index to mast production for 1999 - 2002 was 2.3 (range 1.5 - 3.1), 2.7 (range 1.8 - 3.4), 2.3 (range 1.6 - 3.6), and 1.6 (range 1.2 - 2.4), respectively. The overall summary for mast production for the same years was described as fair, good, fair, and poor to fair. Mast production was significantly different between years (n = 4, F = 3.44, df = 3, P = 0.0326), and soft and hard mast production appeared to be above average in 2000. This corresponded with the lowest visitation (10.2%) of the 4 years. There was no correlation between bait station visitation and mast production (n = 4, r = 0.11, P = 0.87). Since 1998, the annual bear harvest in Virginia has exceeded 900 individuals (with the exception of 824 in 2001), and peaked in 2000 when 1,000 bears were harvested. Though harvest rates were high, a reliable population estimate did not exist for black bears in Virginia. We estimated population size, growth rate, and minimum viable population size using data collected between 1995-2000. We used Jolly-Seber, direct recovery, and minimum population size methods to estimate population size. The Jolly-Seber method estimate of adult female density was 0.23-0.64 bears/km2, and 0.01 bears/km2 for adult males. We estimated a density of 0.09-0.23 bears/km2 for all sex and age classes using direct recovery data. Using minimum population size, we found adult female density was higher than any other sex or age class (n = 6, t = 2.02, df = 40, P < 0.0001) with an average density of 0.055 adult females/km2. We used mark-recapture data collected from 148 individual bears (96 males:52 females) captured 270 times in program MARK to estimate survival using recapture, dead recovery, and Burnham's combined models. Adult females had the highest survival rate of 0.84-0.86, while yearling males had the lowest with 0.35. Using direct recovery data, adult females again had the highest survival rate with 0.93 (0.83-1.0) and 3-year old males had the lowest with 0.59 (0.35-0.83). We estimated growth rate using population estimates from Jolly-Seber, direct recoveries, and minimum population size methods. The lowest growth rate estimated was for all females (ages lumped) using minimum population size data (Î»=0.82). Direct recovery data for all bears (sex and age lumped) during 1995 - 2000 showed the highest positive annual growth rate (Î» = 1.24). We developed a population model using Mathcad 8 Professional to determine population growth rate, MVP, and harvest effects for an exploited black bear population in southwestern Virginia. We used data collected during the CABS study (1995 - 2000) in the model including population estimates derived from direct recovery data, age and sex specific survival rates, and cub sex ratios. When we used actual population values in the model, the bear population in southwestern Virginia did not go extinct in 100 years (l = 1.03, r = 0.03). When we reduced adult female survival from 0.94 to 0.89, the probability of extinction in 100 years was 3.0% and l = 0.99 (r = -0.01; Table 3.2). When the survival was reduced by an additional 0.01 to 0.88, the probability of extinction increased to 13.0% (l = 0.99, r = -0.01). Growth rate and extinction probabilities were very sensitive to adult female survival rates. Two-year old and 3-year old females did not impact extinction probabilities and growth rates as much as adult females. Their survival could be decreased by 44.0%, and still be less than the 5.0% extinction probability.
Master of Science

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Books on the topic "Population Growth Model"

Yeung, David. A stochastic growth model with endogenous population growth rate. Toronto: York University, 1985.

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M. C. M. de Gunst. A random model for plant cell population growth. [Amsterdam, the Netherlands]: Centrum voor Wiskunde en Informatica, 1989.

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The optimum growth rate for population in the neoclassical overlapping generations model. Frankfurt am Main: Peter Lang, 2007.

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Brylinsky, M. Development of a computer simulation model of a cultured blue mussel (Mytilus edulis) population. Moncton, N.B: Dept. of Fisheries and Oceans, Science Branch, Gulf Region, 1991.

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Ratner, Svetlana, Liliya Nazarova, Kasiya Kirdasinova, and Anna Karapetyan. Circular model of economic growth: experience, opportunities and barriers. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1893194.

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The concept of a circular (or circular/closed cycle) economy is quite new for the Russian scientific literature on economics and management. Having originated initially in countries experiencing serious resource constraints and (or) acute environmental problems, a few months ago it seemed to be a curious idea for Russia, allowing in the long term to achieve simultaneous preservation and even an increase in economic growth rates without the concomitant increase in the expenditure of natural resources and the inevitably associated increase in the burden on the environment. However, the dramatically changed economic situation due to unprecedented sanctions pressure, the freezing of the country's financial resources and the destruction of a huge number of production chains forces us to take a fresh look at the concept of a circular economy and shift the focus of research on its possible practical applications from environmental aspects to such topical economic aspects as creating new jobs, products and services, preserving the quality of life of the population while decrease in purchasing power, etc. A feature of the monograph is the focus on new opportunities for economic growth that the circular economy provides, even in conditions of severe resource (including financial) constraints. It is intended for students, masters, postgraduates, researchers, as well as practitioners from the field of management with modern circular business models and methods of organizing production and consumption processes according to the circular type.

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Filling up America: An economic-demographic model of population growth and distribution in the nineteenth-century United States. Greenwich, Conn: JAI Press, 1986.

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Associates, Dick Conway &. Puget Sound subarea forecasts: Model calibration and forecasts. [Seattle?: Puget Sound Regional Council?, 1992.

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Theory of population and economic growth. Oxford: Blackwell, 1986.

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Golosov, Mikhail. Efficiency with endogenous population growth. Cambridge, MA: National Bureau of Economic Research, 2004.

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Golosov, Mikhail. Efficiency with endogenous population growth. [Minneapolis, MN]: Federal Reserve Bank of Minneapolis, Research Dept., 2004.

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Book chapters on the topic "Population Growth Model"

Bahman, Zohuri, and Mossavar-Rahmani Farhang. "Population: Human Growth Driving Ecology." In A Model to Forecast Future Paradigms, 161–98. Includes bibliographical references and index. | Contents: Volume 1. Introduction to knowledge is power in four dimensions: Apple Academic Press, 2019. http://dx.doi.org/10.1201/9781003000662-5.

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Khrennikov, A. "p-Adic Model for Population Growth." In Fractals in Biology and Medicine, 165–68. Basel: Birkhäuser Basel, 1998. http://dx.doi.org/10.1007/978-3-0348-8936-0_12.

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Maksymowicz, A. Z., P. Gronek, W. Alda, M. S. Magdoń-Maksymowicz, M. Kopeć, and A. Dydejczyk. "Population Growth in the Penna Model for Migrating Population." In High Performance Computing and Networking, 588–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45492-6_69.

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Wang, Zhijiang, Jixun Song, and Xiaolong Zhang. "Predictive Model of Population Growth in China." In Lecture Notes in Electrical Engineering, 611–18. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4853-1_75.

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Pflaumer, Peter. "Analyzing Euler and Süßmilch’s Population Growth Model." In The Springer Series on Demographic Methods and Population Analysis, 141–61. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-28697-1_12.

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Mardanlou, Vahid, Leopold N. Green, Hari K. K. Subramanian, Rizal F. Hariadi, Jongmin Kim, and Elisa Franco. "A Coarse-Grained Model of DNA Nanotube Population Growth." In Lecture Notes in Computer Science, 135–47. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-43994-5_9.

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Carlos, Clara, and Carlos A. Braumann. "Consequences of an Incorrect Model Specification on Population Growth." In New Advances in Statistical Modeling and Applications, 105–13. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05323-3_10.

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Berthold, Norbert, and Michael Pflüger. "Market Failure, Population Growth and Government Intervention in a Life-Cycle Growth Model." In Demographic Change and Economic Development, 73–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-83789-0_4.

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Olševičová, Kamila, Richard Cimler, and Tomáš Machálek. "Agent-Based Model of Celtic Population Growth: NetLogo and Python." In Advanced Methods for Computational Collective Intelligence, 135–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-34300-1_13.

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De Stasio, Bart T., Lars G. Rudstam, Adrienne Haning, Pat Soranno, and Yvonne C. Allen. "An in situ test of the effects of food quality on Daphnia population growth." In Cladocera as Model Organisms in Biology, 221–30. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-0021-2_26.

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Conference papers on the topic "Population Growth Model"

Song, Xinfang. "Urban Population Growth Model Based on SPSS Regression Analysis." In 2018 13th International Conference on Computer Science & Education (ICCSE). IEEE, 2018. http://dx.doi.org/10.1109/iccse.2018.8468788.

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Avila, P., A. Rekker, Michail D. Todorov, and Christo I. Christov. "A Stochastic Super-Exponential Growth Model for Population Dynamics." In APPLICATION OF MATHEMATICS IN TECHNICAL AND NATURAL SCIENCES: Proceedings of the 2nd International Conference. AIP, 2010. http://dx.doi.org/10.1063/1.3526615.

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Vadasz, Peter, and Alisa S. Vadasz. "A Neoclassical Growth Model for Population Dynamics in a Homogeneous Habitat." In ASME 2001 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/imece2001/htd-24415.

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Abstract A neoclassical model is proposed for the growth of cell and other populations in a homogeneous habitat. The model extends on the Logistic Growth Model (LGM) in a non-trivial way in order to address the cases where the Logistic Growth Model (LGM) fails short in recovering qualitative as well as quantitative features that appear in experimental data. These features include in some cases overshooting and oscillations, in others the existence of a “Lag Phase” at the initial growth stages, as well as an inflection point in the “In curve” of the population size. The proposed neoclassical model recovers also the Logistic Growth Curve as a special case. Comparisons of the solutions obtained from the proposed neoclassical model with experimental data confirm its quantitative validity, as well as its ability to recover a wide range of qualitative features captured in experiments.

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Stura, Ilaria, Domenico Gabriele, and Caterina Guiot. "A two population model of cancer growth with fixed capacity." In 2014 6th International Advanced Research Workshop on "In Silico Oncology and Cancer Investigation". IEEE, 2014. http://dx.doi.org/10.1109/iarwisoci.2014.7034636.

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Lumi, N., and R. Mankin. "Stochastic resonance in a generalized Von Foerster population growth model." In APPLICATION OF MATHEMATICS IN TECHNICAL AND NATURAL SCIENCES: 6th International Conference for Promoting the Application of Mathematics in Technical and Natural Sciences ‐ AMiTaNS ’14. AIP Publishing LLC, 2014. http://dx.doi.org/10.1063/1.4902281.

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Zachos, Louis G. "A MATRIX POPULATION MODEL FOR GROWTH OF THE ECHINOID SKELETON." In GSA Annual Meeting in Indianapolis, Indiana, USA - 2018. Geological Society of America, 2018. http://dx.doi.org/10.1130/abs/2018am-319185.

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Rayungsari, Maya, Akhsanul In’am, and Muhammad Aufin. "Genetic Algorithm to Estimate Parameters of Indonesian Population Growth Model." In International Conference on Community Development (ICCD 2020). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/assehr.k.201017.094.

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Li, Yan, YangQuan Chen, and Lun Zhai. "Stability of fractional-order population growth model based on distributed-order approach." In 2014 33rd Chinese Control Conference (CCC). IEEE, 2014. http://dx.doi.org/10.1109/chicc.2014.6897043.

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"An Evaluation Model to Quantify the Qualitative Smart Growth in Medium Population City." In 2017 2nd International Conference on Mechatronics and Information Technology. Francis Academic Press, 2017. http://dx.doi.org/10.25236/icmit.2017.56.

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Song, Lin. "Study on growth dynamics of entrepreneurial population: An analysis based on logistic model." In 2010 International Conference on Management Science and Engineering (ICMSE). IEEE, 2010. http://dx.doi.org/10.1109/icmse.2010.5719977.

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Reports on the topic "Population Growth Model"

Carver, C., N. A. Chipman, and T. E. Carleson. Modelling the unsteady growth state population balance for a nonlinear growth model in an MSMPR crystallizer. Office of Scientific and Technical Information (OSTI), March 1994. http://dx.doi.org/10.2172/164923.

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Ehrlich, Isaac, and Yong Yin. Equilibrium Health Spending and Population Aging in a Model of Endogenous Growth - Will the GDP Share of Health Spending Keep Rising? Cambridge, MA: National Bureau of Economic Research, January 2014. http://dx.doi.org/10.3386/w19856.

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Baldos, Uris Lantz, and Thomas Hertel. Bursting the Bubble: A Long Run Perspective on Crop Commodity Prices. GTAP Working Paper, August 2014. http://dx.doi.org/10.21642/gtap.wp80.

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Contrary to the opinions expressed by many commentators, the recent price spike in agricultural commodities is a transitory phenomenon. Using projections from SIMPLE – a global model of the farm and food system – we argue that, in the long run, food prices will most likely resume their historical downward trend. We begin with an evaluation of the historical period 1961 to 2006 wherein the growth in agricultural productivity outpaced that of global crop demand, the latter being fueled by rising population and incomes. As a consequence, we observed a historical decline in global crop prices, which the SIMPLE model faithfully reproduces. Moving forward to 2051, we establish a set of projections in global crop prices given expected developments in population, incomes, agricultural productivity and biofuel use. We project that global crop prices will continue their long run decline in the coming decades, albeit at a slower pace. However, we recognize that, under some circumstances, global crop prices could still increase by mid-century. To formally assess the likelihood of future price changes, we conduct Monte Carlo simulations given distributions in the growth rates of both drivers and economic responses. Results show that 72% of the realizations produce price declines from 2006 to 2051. Keywords: crop commodity prices, long run projections, population growth, income growth, biofuels, crop productivity JEL: Q11, Q12, Q18

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Yildiz, Dilek, Arkadiusz Wiśniowski, Zuzanna Brzozowska, and Afua Durowaa-Boateng. A FLEXIBLE MODEL TO RECONSTRUCT EDUCATION-SPECIFIC FERTILITY RATES: SUB-SAHARAN AFRICA CASE. Verlag der Österreichischen Akademie der Wissenschaften, August 2023. http://dx.doi.org/10.1553/0x003e65e0.

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The future world population growth and size will be largely determined by the pace of fertility decline in sub-Saharan Africa. Correct estimates of education-specific fertility rates are crucial for projecting the future population. Yet, consistent crosscountry, comparable estimates of education-specific fertility for sub-Saharan African countries are still lacking. We propose a flexible Bayesian hierarchical model that reconstructs education-specific fertility rates by combining the patchy Demographic and Health Surveys (DHS) data and the United Nations’ (UN) reliable estimates of total fertility rates (TFR). Our model produces estimates that match the UN TFR to different extents (in other words, estimates of varying levels of consistency with the UN). We present three model specifications: Consistent but not identical with the UN; fully-consistent (nearly identical) with the UN, and consistent with the DHS. Further, we provide a full time series of education-specific TFR estimates covering five-year periods between 1980 and 2014 for 36 sub-Saharan African countries. The results show that the DHS-consistent estimates are usually higher than the UN-fully-consistent ones. The differences between the three model estimates vary substantially in size across countries, yielding 1980–2014 fertility trends that diverge from each other—mostly in level only, but also sometimes in direction.

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Kloepper, Joseph W., and Ilan Chet. Endophytic Bacteria of Cotton and Sweet Corn for Providing Growth Promotion and Biological Disease Control. United States Department of Agriculture, January 1996. http://dx.doi.org/10.32747/1996.7613039.bard.

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Endophytes were isolated from 16.7% of surface-disinfested seeds and 100% of stems and roots of field-growth plants. Strains from Israel with broad-spectrum in vitro antibiosis were mainly Bacillus spp., and some were chitinolytic. Following dipping of cut cotton roots into suspensions of these strains, endophytes were detected up to 72 days later by isolation and by autoradiograms of 14C-labelled bacteria. Selected endophytes exhibited biological control potential based on significant reductions in disease severity on cotton inoculated with Rhizoctonia solani or Fusarium oxysporum f. sp. vasinfectum as well as control of Sclerotium rolfsii on bean. Neither salicylic acid nor chitinase levels increased in plants as a result of endophytic colonization, suggesting that the observed biocontrol was not accounted for by PR protein production. Some biocontrol endophytes secreted chitinolytic enzymes. Model endophytic strains inoculated into cotton stems via stem injection showed only limited movement within the stem. When introduced into stems at low concentrations, endophytes increased in population density at the injection site. After examining several experimental and semi-practical inoculation systems, seed treatment was selected as an efficient way to reintroduce most endophytes into plants.

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Steinbuks, Jevgenijs, and Thomas Hertel. Forest, Agriculture, and Biofuels in a Land use model with Environmental services (FABLE). GTAP Working Paper, October 2012. http://dx.doi.org/10.21642/gtap.wp71.

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The goal of this paper is to introduce FABLE (Forest, Agriculture, and Biofuels in a Land use model with Environmental services), a dynamic global model, aimed at analyzing the optimal profile for global land use in the context of growing commercial demands for food and forest products, increasing non-market demands for ecosystem services, and more stringent greenhouse gas mitigation targets. The model seeks to determine the optimal allocation of scarce land across competing uses across time. FABLE integrates distinct strands of agronomic, economic and biophysical literatures into a single, intertemporally consistent, analytical framework, at global scale. It is based on a dynamic long-run, forward-looking partial equilibrium framework, in which the societal objective function places value on food production, liquid fuels (including first- and second- generation biofuels), timber production, forest carbon and biodiversity. The forestry sector is characterized by multiple forest vintages, which add considerable computational complexity in the context of this dynamic forward-looking analysis. Our baseline accurately reflects developments in global land use over the years that have already transpired, and determines the optimal path of global land use over the course of next century based on projections of population, income and demand growth from a variety of recognized sources.

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Crowley, David E., Dror Minz, and Yitzhak Hadar. Shaping Plant Beneficial Rhizosphere Communities. United States Department of Agriculture, July 2013. http://dx.doi.org/10.32747/2013.7594387.bard.

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PGPR bacteria include taxonomically diverse bacterial species that function for improving plant mineral nutrition, stress tolerance, and disease suppression. A number of PGPR are being developed and commercialized as soil and seed inoculants, but to date, their interactions with resident bacterial populations are still poorly understood, and-almost nothing is known about the effects of soil management practices on their population size and activities. To this end, the original objectives of this research project were: 1) To examine microbial community interactions with plant-growth-promoting rhizobacteria (PGPR) and their plant hosts. 2) To explore the factors that affect PGPR population size and activity on plant root surfaces. In our original proposal, we initially prqposed the use oflow-resolution methods mainly involving the use of PCR-DGGE and PLFA profiles of community structure. However, early in the project we recognized that the methods for studying soil microbial communities were undergoing an exponential leap forward to much more high resolution methods using high-throughput sequencing. The application of these methods for studies on rhizosphere ecology thus became a central theme in these research project. Other related research by the US team focused on identifying PGPR bacterial strains and examining their effective population si~es that are required to enhance plant growth and on developing a simulation model that examines the process of root colonization. As summarized in the following report, we characterized the rhizosphere microbiome of four host plant species to determine the impact of the host (host signature effect) on resident versus active communities. Results of our studies showed a distinct plant host specific signature among wheat, maize, tomato and cucumber, based on the following three parameters: (I) each plant promoted the activity of a unique suite of soil bacterial populations; (2) significant variations were observed in the number and the degree of dominance of active populations; and (3)the level of contribution of active (rRNA-based) populations to the resident (DNA-based) community profiles. In the rhizoplane of all four plants a significant reduction of diversity was observed, relative to the bulk soil. Moreover, an increase in DNA-RNA correspondence indicated higher representation of active bacterial populations in the residing rhizoplane community. This research demonstrates that the host plant determines the bacterial community composition in its immediate vicinity, especially with respect to the active populations. Based on the studies from the US team, we suggest that the effective population size PGPR should be maintained at approximately 105 cells per gram of rhizosphere soil in the zone of elongation to obtain plant growth promotion effects, but emphasize that it is critical to also consider differences in the activity based on DNA-RNA correspondence. The results ofthis research provide fundamental new insight into the composition ofthe bacterial communities associated with plant roots, and the factors that affect their abundance and activity on root surfaces. Virtually all PGPR are multifunctional and may be expected to have diverse levels of activity with respect to production of plant growth hormones (regulation of root growth and architecture), suppression of stress ethylene (increased tolerance to drought and salinity), production of siderophores and antibiotics (disease suppression), and solubilization of phosphorus. The application of transcriptome methods pioneered in our research will ultimately lead to better understanding of how management practices such as use of compost and soil inoculants can be used to improve plant yields, stress tolerance, and disease resistance. As we look to the future, the use of metagenomic techniques combined with quantitative methods including microarrays, and quantitative peR methods that target specific genes should allow us to better classify, monitor, and manage the plant rhizosphere to improve crop yields in agricultural ecosystems. In addition, expression of several genes in rhizospheres of both cucumber and whet roots were identified, including mostly housekeeping genes. Denitrification, chemotaxis and motility genes were preferentially expressed in wheat while in cucumber roots bacterial genes involved in catalase, a large set of polysaccharide degradation and assimilatory sulfate reduction genes were preferentially expressed.

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Rao, Krishna D., Andrés I. Vecino Ortiz, Tim Roberton, Angélica Lopez Hernandez, and Caitlin Noonan. Open configuration options Future Health Spending in Latin America and the Caribbean: Health Expenditure Projections & Scenario Analysis. Inter-American Development Bank, April 2022. http://dx.doi.org/10.18235/0004185.

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Latin American and Caribbean countries will face significant increases in future health expenditures. A variety of factors are responsible - population growth and aging, the epidemiological transition to noncommunicable diseases (NCDs), and economic growth and technology, among others. Increasing health expenditures are particularly concerning to countries in Latin America and the Caribbean (LAC) given growing levels of debt, insufficient fiscal revenues, and high out-of-pocket payments. The projected average annual per capita CHE growth rate from 2018-2050 is slightly higher in Latin American countries (3.2%) than in the Caribbean (2.4%). The share of health expenditure in GDP is projected to increase to 2030 in all LAC countries except for Guyana. The effect of demographics and epidemiology on health spending growth are more modest. Among strategies to control NCD risk factors, a focus on hypertension control generally had the strongest effect on restraining CHE growth except in countries where smoking is particularly prevalent. The main driver of health expenditure growth is economic growth and technology, demonstrating the importance of adopting policies such as explicit prioritization systems and benefit plans that establish common rules for payers and providers that encourage cost-effective decisions. The underlying model for making projections and analyzing alternative scenarios is publicly available.

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Doorley, Karina, and Mark Regan. The impact of Irish budgetary policy by disability status. ESRI, June 2022. http://dx.doi.org/10.26504/bp202301.

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Existing research has shown that disability is costly and can result in an increased risk of living in poverty and a decrease in living standards. In this paper, we expand a framework of equality budgeting, previously applied from a gender perspective, to the population of households affected by disability. Using a microsimulation model linked to data from the EU Survey of Income and Living Conditions (EU-SILC), we show how tax-benefit policy and other market income changes between 2007 and 2019 impacted households affected by disability and households not affected by disability. We find that disposable (or post-tax and transfer) income grew for both types of households but at a faster rate for households affected by disability than households not affected by disability. This income growth was driven by two counteracting forces. On the one hand, tax and welfare policy failed to keep pace with market income growth, reducing the living standards of households affected by disability by more than households not affected by disability. On the other hand, despite having lower average wage levels, wage growth for workers affected by disability outpaced wage growth for workers not affected by disability, while the labour supply of households affected by disability also increased. Future attempts to equality-proof budgetary policy should consider that changes to welfare disproportionally affect households with disabilities.

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Golub, Alla, Thomas Hertel, and Brent Sohngen. Land Use Modeling in Recursively-Dynamic GTAP Framework. GTAP Working Paper, April 2008. http://dx.doi.org/10.21642/gtap.wp48.

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*Chapter 10 of the forthcoming book "Economic Analysis of Land Use in Global Climate Change Policy," edited by Thomas W. Hertel, Steven Rose, and Richard S.J. Tol The goal of this work is to investigate land-use change at the global scale over the long run – particularly in the context of analyzing the fundamental drivers behind land-use related GHG emissions. For this purpose, we identify the most important drivers of supply and demand for land. On the demand side, we begin with a dynamic general equilibrium (GE) model that predicts economic growth in each region of the world, based on exogenous projections of population, skilled and unskilled labor and technical change. Economy-wide growth is, in turn, translated into consumer demand for specific products using an econometrically estimated, international cross-section, demand system that permits us to predict the pattern of future consumer demands across the development spectrum. This is particularly important in the fast-growing, developing countries, where the composition of consumer demand is changing rapidly. These countries also account for an increasing share of global economic growth and greenhouse gas emissions. Consumer demand is translated into derived demands for land through a set of sectoral production functions that differentiate the demand for land by Agro-Ecological Zone (AEZ).

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