Log in

Relevant bibliographies by topics / Spatial growth / Journal articles

To see the other types of publications on this topic, follow the link: Spatial growth.

Journal articles on the topic 'Spatial growth'

Author: Grafiati

Published: 9 March 2023

Last updated: 10 March 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Spatial growth.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Abeyratne, Sirimal, and N. S. Cooray. "Trade and Spatial Growth." South Asia Economic Journal 18, no. 1 (March 2017): 94–111. http://dx.doi.org/10.1177/1391561416684257.

Full text

Abstract:

Comparative advantage is based on ‘locational factors’ so that trade leads to growth and its spatial concentration. Until recently, the nexus between trade and spatial growth received little space within trade analyses though it did not appear to be a missing link in initial contributions to trade theory. The reshaping of the global economy with greater integration has called for analyses of trade and spatial growth. This article examines theoretical premises of the link between international trade and spatial growth, and the implications of reshaping of the global economy for the study of spatial growth within trade theory.

APA, Harvard, Vancouver, ISO, and other styles

2

Resende, Guilherme Mendes. "Spatial Dimensions of Economic Growth in Brazil." ISRN Economics 2013 (January 31, 2013): 1–19. http://dx.doi.org/10.1155/2013/398021.

Full text

Abstract:

The contribution of this paper is to explore time and spatial scale dimensions of economic growth in Brazil using alternative panel data techniques to provide a measure of the extent of spatial autocorrelation (in kilometres) over three decades (1970–2000) as well as discussing the determinants of economic growth at a variety of geographic scales (minimum comparable areas, micro-regions, meso-regions, and states). The magnitude and statistical significance of growth determinants such as schooling, population density, population growth, and transportation costs are dependent on the scale of analysis. Moreover, the extent of residual spatial autocorrelation showed that it seems to vary across spatial scales. Indeed, spatial autocorrelation seems to be bounded at the state level and it shows positive and statistically significant values across distances of more than 1,500 kilometres at the other three spatial scales. Among other results, the study suggests that the nonspatial panel data techniques are not able to deal with spatially correlated omitted variables across different spatial scales, except for the state level where nonspatial panel data models seem to be appropriate to investigate growth determinants and convergence process in the Brazilian states case.

APA, Harvard, Vancouver, ISO, and other styles

3

López-Bazo, Enrique, Vassilis Monastiriotis, and Raul Ramos. "Spatial Inequalities and Economic Growth." Spatial Economic Analysis 9, no. 2 (April 3, 2014): 113–19. http://dx.doi.org/10.1080/17421772.2014.904615.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Palivos, Theodore, and Ping Wang. "Spatial agglomeration and endogenous growth." Regional Science and Urban Economics 26, no. 6 (December 1996): 645–69. http://dx.doi.org/10.1016/s0166-0462(96)02139-4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Piribauer, Philipp. "Heterogeneity in spatial growth clusters." Empirical Economics 51, no. 2 (October 27, 2015): 659–80. http://dx.doi.org/10.1007/s00181-015-1023-y.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Desmet, Klaus, and Esteban Rossi-Hansberg. "Spatial growth and industry age." Journal of Economic Theory 144, no. 6 (November 2009): 2477–502. http://dx.doi.org/10.1016/j.jet.2008.11.001.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Maya Sopha, Bertha, Fredrika Makasenda, and Anna Maria Sri Asih. "Temporal and spatial prediction of retailer growth." MATEC Web of Conferences 204 (2018): 01001. http://dx.doi.org/10.1051/matecconf/201820401001.

Full text

Abstract:

Retailers have significantly affected good distribution and eventually transportation cost, traffic congestion, and pollution. Understanding spatial development of retailers is therefore of importance in planning logistics particularly in urban areas. The present research aims at predicting retailer growth both temporally and spatially. Both time-series forecasting using Holt’s model and spatial forecasting using ArcGIS were conducted. Results indicate that the existing retailers of Yogyakarta city have already exceeded the minimum requirement of retailers following the Indonesian National Standard, whereas other four districts have need of more retailers. Furthermore, it appears that the connectivity to the road network appears to be the important parameter in determining future location of retailers, contrasting traditional perspective of clustered location at central business area.

APA, Harvard, Vancouver, ISO, and other styles

8

Postiglione, Paolo, Maria Simona Andreano, and Roberto Benedetti. "Spatial Clusters in EU Productivity Growth." Growth and Change 48, no. 1 (August 1, 2016): 40–60. http://dx.doi.org/10.1111/grow.12165.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Abad, Veronica, Francesco De Luca, Jennifer A. Uyeda, John D. Bacher, and Jeffrey Baron. "Spatial Orientation of Growth Plate Chondrocytes." Pediatric Research 45, no. 4, Part 2 of 2 (April 1999): 83A. http://dx.doi.org/10.1203/00006450-199904020-00497.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Berman, Edward B. "A SPATIAL AND DYNAMIC GROWTH MODEL." Papers in Regional Science 5, no. 1 (January 14, 2005): 143–50. http://dx.doi.org/10.1111/j.1435-5597.1959.tb01673.x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Ravallion, Martin, and Jyotsna Jalan. "Growth divergence due to spatial externalities." Economics Letters 53, no. 2 (November 1996): 227–32. http://dx.doi.org/10.1016/s0165-1765(96)00899-3.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Tataru, Maria. "Growth rates in multidimensional spatial voting." Mathematical Social Sciences 37, no. 3 (May 1999): 253–63. http://dx.doi.org/10.1016/s0165-4896(98)00029-8.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Wilen, Cheryl A., and Jodie S. Holt. "Spatial Growth of Kikuyugrass (Pennisetum clandestinum)." Weed Science 44, no. 2 (June 1996): 323–30. http://dx.doi.org/10.1017/s0043174500093954.

Full text

Abstract:

Photographic techniques and the point-frame transect method were used to study areal growth of kikuyugrass grown in the field without competition in 1990 and 1991. The effect of cutting height on plant extension was also examined in 1991. There were no differences in sward area between eight selections planted in 1990, except on the first measurement date, but selections differed in height and number of primary and secondary stolons. Expansion was irregular in all but one selection, and the patch shape of all irregular selections was defined by the direction and number of the earliest buds to sprout from the stolons. Only two of the eight selections were planted in 1991. Cutting height affected extension from the plot center, linear plant frequency, and plant biomass. The lowest height of cut, 2.5 cm, had the least extension and frequency, the higher cut, 5 cm, was intermediate, and the unmowed plots had the highest extension and frequency. There were differences between selections in number of nodes per unit area, which resulted in differences in response to mowing. Results from a greenhouse clipping experiment showed that although root weight of stolon sections used as propagules was reduced by defoliation, starch content was not affected. The spreading ability of kikuyugrass appears to be based on its ability to branch from its stolons presumably due to reallocation of resources. Based on these results, close mowing could slow the process of kikuyugrass invasion into other turf species but is inadequate to control it.

APA, Harvard, Vancouver, ISO, and other styles

14

Xepapadeas, A., and A. N. Yannacopoulos. "Spatial growth with exogenous saving rates." Journal of Mathematical Economics 67 (December 2016): 125–37. http://dx.doi.org/10.1016/j.jmateco.2016.09.010.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

van den Berg, J., Y. Peres, V. Sidoravicius, and M. E. Vares. "Random spatial growth with paralyzing obstacles." Annales de l'Institut Henri Poincaré, Probabilités et Statistiques 44, no. 6 (December 2008): 1173–87. http://dx.doi.org/10.1214/07-aihp161.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Fingleton, Bernard, and Enrique López-Bazo. "Empirical growth models with spatial effects." Papers in Regional Science 85, no. 2 (June 2006): 177–98. http://dx.doi.org/10.1111/j.1435-5957.2006.00074.x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

Arcalean, Calin, Gerhard Glomm, and Ioana Schiopu. "Growth effects of spatial redistribution policies." Journal of Economic Dynamics and Control 36, no. 7 (July 2012): 988–1008. http://dx.doi.org/10.1016/j.jedc.2012.01.004.

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

Bal, Frans, and Peter Nijkamp. "Exogenous and endogenous spatial growth models." Annals of Regional Science 32, no. 1 (February 16, 1998): 63–89. http://dx.doi.org/10.1007/s001680050063.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Yang, Yang, and Timothy Fik. "Spatial effects in regional tourism growth." Annals of Tourism Research 46 (May 2014): 144–62. http://dx.doi.org/10.1016/j.annals.2014.03.007.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

VANNITSEM, S., and C. NICOLIS. "ERROR GROWTH DYNAMICS IN SPATIALLY EXTENDED SYSTEMS." International Journal of Bifurcation and Chaos 06, no. 12a (December 1996): 2223–35. http://dx.doi.org/10.1142/s0218127496001466.

Full text

Abstract:

A class of spatially extended systems allowing for tuning the degree of attractor non-uniformity, the strength and the range of the spatial coupling is investigated with emphasis on the dynamics of the evolution of small initial errors. Depending on the values of these parameters and on the properties of the initial error field various patterns of growth are found ranging from subexponential to superexponential ones. The mechanisms of error transfer between different spatial scales is analyzed and the respective role of the Lyapunov vectors and singular vectors for short time behavior is clarified.

APA, Harvard, Vancouver, ISO, and other styles

21

Meng, Qingmin, Chris J. Cieszewski, Mike R. Strub, and Bruce E. Borders. "Spatial regression modeling of tree height–diameter relationships." Canadian Journal of Forest Research 39, no. 12 (December 2009): 2283–93. http://dx.doi.org/10.1139/x09-136.

Full text

Abstract:

Tree height–diameter relationships are usually studied using linear or nonlinear models, but exogenous variables, especially spatially autocorrelated and dependent variables of tree diameter or height, are not often considered in height–diameter modeling. Three types of spatial regression models — spatial lag model, spatial error model, and spatial Durbin process model — are explored in this study. The height–diameter relationships are modeled using the spatial regression models to investigate the effects of spatial dependence and spatial autocorrelation and the roles of the exogenous variables generated by neighboring trees. Case study 1 shows that the spatial lag model should be used to analyze height–diameter relationships, in which heights of neighboring trees, which are exogenous variables, and the endogenous variable DBH significantly affect height growth. Case study 2 shows that the spatial error model performs better than other models, and that height growth is not only affected by its endogenous variable diameter but also by unobserved variables that vary spatially and result in residual spatial autocorrelation. Spatial regression models are an approach to height–diameter modeling that provide insight into how the endogenous variable diameter, the exogenous variables height and (or) diameter of neighboring trees, and locally varied but unobserved environmental or ecological variables contribute to height growth.

APA, Harvard, Vancouver, ISO, and other styles

22

Gao, Chen, Yongjiu Feng, Xiaohua Tong, Zhenkun Lei, Shurui Chen, and Shuting Zhai. "Modeling urban growth using spatially heterogeneous cellular automata models: Comparison of spatial lag, spatial error and GWR." Computers, Environment and Urban Systems 81 (May 2020): 101459. http://dx.doi.org/10.1016/j.compenvurbsys.2020.101459.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Eradi, Ahmed, and Youssef Moflih. "Impact des facteurs éducatifs sur la croissance économique régionale au Maroc : Une approche par l’économétrie spatiale." European Scientific Journal, ESJ 18, no. 9 (March 31, 2022): 79. http://dx.doi.org/10.19044/esj.2022.v18n9p79.

Full text

Abstract:

Ce papier examine les effets des facteurs éducatifs sur la croissance économique durant la période 2015-2019 dans les 12 régions marocaines. Pour ce faire, L’analyse des interactions spatiales se fait à travers le calcul des indices de Moran et LISA, ainsi, les approches d’économétrie spatiale SAR et SEM semblent être appropriés pour étudier l’effet de l’investissement public en matière de l’éducation sur la croissance économique en prenant en considération les retombées spatiales. Les résultats des interactions spatiales ont montré la persistance de l’état défavorable des régions vulnérables en termes du revenu, de financement et du rendement de l’éducation. L’investissement en capital a un effet plus positif et supérieur aux effets de l’investissement en matière de l’éducation et de la population active. L’investissement pourrait jouer un rôle plus important et contribue significativement dans la croissance économique des régions marocaines. Quelques politiques susceptibles de renforcer l'éducation et ses effets sur la croissance régionale sont proposés. This paper examines the effects of educational factors on economic growth during the period 2015-2019 in the 12 Moroccan regions. In this framework, the analysis of spatial interactions is done through the calculation of Moran and LISA indices, thus, SAR and SEM spatial econometric models seem to be appropriate to study the impact of education on economic growth by considering spatial spillovers. The results of the spatial interactions showed the persistence of the unfavorable state of vulnerable regions in terms of income, financing and returns to education. Capital investment has a more positive and greater effect than the effects of education investment and labor force and thus investment could play a more important role in regional economic growth. Some policies that could enhance education and its effects on regional growth are proposed.

APA, Harvard, Vancouver, ISO, and other styles

24

Biondi, Franco, Donald E. Myers, and Charles C. Avery. "Geostatistically modeling stem size and increment in an old-growth forest." Canadian Journal of Forest Research 24, no. 7 (July 1, 1994): 1354–68. http://dx.doi.org/10.1139/x94-176.

Full text

Abstract:

Geostatistics provides tools to model, estimate, map, and eventually predict spatial patterns of tree size and growth. Variogram models and kriged maps were used to study spatial dependence of stem diameter (DBH), basal area (BA), and 10-year periodic basal area increment (BAI) in an old-growth forest stand. Temporal variation of spatial patterns was evaluated by fitting spatial stochastic models at 10-year intervals, from 1920 to 1990. The study area was a naturally seeded stand of southwestern ponderosa pine (Pinusponderosa Dougl. ex Laws. var. scopulorum) where total BA and tree density have steadily increased over the last decades. Our objective was to determine if increased stand density simply reduced individual growth rates or if it also altered spatial interactions among trees. Despite increased crowding, stem size maintained the same type of spatial dependence from 1920 to 1990. An isotropic Gaussian variogram was the model of choice to represent spatial dependence at all times. Stem size was spatially autocorrelated over distances no greater than 30 m, a measure of average patch diameter in this forest ecosystem. Because patch diameter remained constant through time, tree density increased by increasing the number of pine groups, not their horizontal dimension. Spatial dependence of stem size (DBH and BA) was always much greater and decreased less through time than that of stem increment (BAI). Spatial dependence of BAI was close to zero in the most recent decade, indicating that growth rates in 1980–1990 varied regardless of mutual tree position. Increased tree crowding corresponded not only to lower average and variance of individual growth rates, but also to reduced spatial dependence of BAI. Because growth variation was less affected by intertree distance with greater local crowding, prediction of individual growth rates benefits from information on horizontal stand structure only if tree density does not exceed threshold values. Simulation models and area estimates of tree performance in old-growth forests may be improved by including geostatistical components to summarize ecological spatial dependence.

APA, Harvard, Vancouver, ISO, and other styles

25

You, Li, Joel S. Brown, Frank Thuijsman, Jessica J. Cunningham, Robert A. Gatenby, Jingsong Zhang, and Kateřina Staňková. "Spatial vs. non-spatial eco-evolutionary dynamics in a tumor growth model." Journal of Theoretical Biology 435 (December 2017): 78–97. http://dx.doi.org/10.1016/j.jtbi.2017.08.022.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Kopczewska, K., J. Kudła, and K. Walczyk. "Strategy of Spatial Panel Estimation: Spatial Spillovers Between Taxation and Economic Growth." Applied Spatial Analysis and Policy 10, no. 1 (October 14, 2015): 77–102. http://dx.doi.org/10.1007/s12061-015-9170-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

LV, Kangjuan, Anyu YU, Siyi GONG, Maoguo WU, and Xiaohong XU. "IMPACTS OF EDUCATIONAL FACTORS ON ECONOMIC GROWTH IN REGIONS OF CHINA: A SPATIAL ECONOMETRIC APPROACH." Technological and Economic Development of Economy 23, no. 6 (September 21, 2015): 827–47. http://dx.doi.org/10.3846/20294913.2015.1071296.

Full text

Abstract:

This paper investigates the impacts of educational factors on economic growth across 31 provinces during 1996 and 2010 in China. A spatial panel estimation model is applied to study the impacts of education on economic growth taking into account the spatial spillover effects in Feder model and the cumulative effect. The results reveal that (1) educational factors are significantly spatially autocorrelated. Educational factors have spatial spillover effects. Regional differences of education impacts still exist. (2) Average schooling year has a more positive effect on economic output than capital investment and labor force. Basic education might play a more important role in economic growth. (3) Education sector also benefits non-education sectors on economic growth if “spatial effects of economic shocks” are considered. Some policies that may enhance education development and their impacts on economic growth are proposed.

APA, Harvard, Vancouver, ISO, and other styles

28

Hawick, K. A., and C. J. Scogings. "Spatial pattern growth and emergent animat segregation." Web Intelligence and Agent Systems: An International Journal 8, no. 2 (2010): 165–79. http://dx.doi.org/10.3233/wia-2010-0185.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Gichiev, N. S. "Regional convergence of economic growth: Spatial econometrics." Regional Economics: Theory and Practice 16, no. 1 (January 16, 2018): 58–67. http://dx.doi.org/10.24891/re.16.1.58.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Sahibi, Youness, and Moustapha Hamzaoui. "Spatial Inequality of Growth between Morocco Regions." Mediterranean Journal of Social Sciences 8, no. 2 (March 28, 2017): 227–35. http://dx.doi.org/10.5901/mjss.2017.v8n2p227.

Full text

Abstract:

Abstract Although significant progress had been made in Morocco, the inter-regional inequalities persist. The aim of this paper is to analyse this spatial inequality and convergence phenomenon in Morocco, using regional data between 2000 and 2007. Thus, relying on methods of spatial data analysis and taken from theoretical and empirical contributions, this paper analyses the role of the sectorial externalities and spatial spillovers in growth. Next, we tested the existence of a convergence process and the conditions for its improvement. The results showed the existence of a growth convergence process in value added and productivity but not in employment. On the other hand, the variables of human capital and infrastructure can significantly reduce regional inequality. Thus, we conclude that the conventional policies based solely on the infrastructure development or education are not sufficient. A more comprehensive approach that integrates these two axes and encourages business development and knowledge transfer is needed.

APA, Harvard, Vancouver, ISO, and other styles

31

Jung, Suyoung, and Hee-Jung Jun. "Exploring Spatial Dependence in Vacant Housing Growth." Journal of Korea Planning Association 54, no. 7 (December 31, 2019): 89–102. http://dx.doi.org/10.17208/jkpa.2019.12.54.7.89.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

WANG, Wei. "Spatial evolution equation of wind wave growth." Science in China Series D 46, no. 2 (2003): 162. http://dx.doi.org/10.1360/03yd9015.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Cressie, Noel, and Frederick L. Hulting. "A Spatial Statistical Analysis of Tumor Growth." Journal of the American Statistical Association 87, no. 418 (June 1992): 272–83. http://dx.doi.org/10.1080/01621459.1992.10475206.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Martin, James E., and Jess P. Wilcoxon. "Spatial correlations and growth in dilute gels." Physical Review A 39, no. 1 (January 1, 1989): 252–58. http://dx.doi.org/10.1103/physreva.39.252.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

Todd, Daniel, and Yi-Chung Hsueh. "Taiwan: Some spatial implications rapid economic growth." Geoforum 19, no. 2 (January 1988): 133–45. http://dx.doi.org/10.1016/s0016-7185(88)80024-1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

36

Isaev, Artyom. "Transport Infrastructure and Economic Growth: Spatial Effects." Spatial Economics 3, no. 43 (2015): 57–73. http://dx.doi.org/10.14530/se.2015.3.057-073.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

Yildirim, Jülide, and Nadir Öcal. "Military expenditures, economic growth and spatial spillovers." Defence and Peace Economics 27, no. 1 (September 22, 2014): 87–104. http://dx.doi.org/10.1080/10242694.2014.960246.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

Hall, Stephen G., and Mahyudin Ahmad. "Institutions-growth Spatial Dependence: An Empirical Test." Procedia - Social and Behavioral Sciences 65 (December 2012): 925–30. http://dx.doi.org/10.1016/j.sbspro.2012.11.221.

Full text

APA, Harvard, Vancouver, ISO, and other styles

39

Fox, Julian C., Huiquan Bi, and Peter K. Ades. "Spatial dependence and individual-tree growth models." Forest Ecology and Management 245, no. 1-3 (June 2007): 20–30. http://dx.doi.org/10.1016/j.foreco.2007.01.085.

Full text

APA, Harvard, Vancouver, ISO, and other styles

40

Fox, Julian C., Huiquan Bi, and Peter K. Ades. "Spatial dependence and individual-tree growth models." Forest Ecology and Management 245, no. 1-3 (June 2007): 10–19. http://dx.doi.org/10.1016/j.foreco.2007.04.025.

Full text

APA, Harvard, Vancouver, ISO, and other styles

41

Murdoch, James C., and Todd Sandler. "Civil Wars and Economic Growth: Spatial Dispersion." American Journal of Political Science 48, no. 1 (January 2004): 138–51. http://dx.doi.org/10.1111/j.0092-5853.2004.00061.x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

42

Iqbal, Muhammad, and Syed Ali. "Manufacturing in Sindh: Growth and Spatial Distribution." Journal of Basic & Applied Sciences 11 (March 5, 2015): 207–10. http://dx.doi.org/10.6000/1927-5129.2015.11.29.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Stiassnie, M., Y. Agnon, and P. A. E. M. Janssen. "Temporal and Spatial Growth of Wind Waves." Journal of Physical Oceanography 37, no. 1 (January 1, 2007): 106–14. http://dx.doi.org/10.1175/jpo2982.1.

Full text

Abstract:

Abstract A solution of Rayleigh’s instability equation, which circumvents the apparent critical-layer singularity, is provided. The temporal and spatial growth rates of water waves exposed to a logarithmic wind profile are calculated and discussed. The findings are similar to previously published results, except for shear velocity–to–wave celerity ratios larger than 2, where the newly calculated growth rates start to decrease after having reached a distinct maximum. The ratio of the spatial to temporal growth rates is examined. It is shown to deviate by up to 20% from the leading-order value of 2. The implications of the growth rate to the modal distributions of energy input from wind to waves, for young and mature seas, and in temporal/spatial growth scenarios, are analyzed.

APA, Harvard, Vancouver, ISO, and other styles

44

McMullan, Michael, and Robert Fuller. "Spatial growth in Australian homes (1960–2010)." Australian Planner 52, no. 4 (October 2, 2015): 314–25. http://dx.doi.org/10.1080/07293682.2015.1101005.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

MURDOCH, JAMES C., and TODD SANDLER. "Economic Growth, Civil Wars, and Spatial Spillovers." Journal of Conflict Resolution 46, no. 1 (February 2002): 91–110. http://dx.doi.org/10.1177/0022002702046001006.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Rey, Sergio J. "Spatial Empirics for Economic Growth and Convergence." Geographical Analysis 33, no. 3 (September 3, 2010): 195–214. http://dx.doi.org/10.1111/j.1538-4632.2001.tb00444.x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

Braid, Ralph M. "Optimal spatial growth of employment and residences." Journal of Urban Economics 24, no. 2 (September 1988): 227–40. http://dx.doi.org/10.1016/0094-1190(88)90040-x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

48

Tian, Lei, H. Holly Wang, and Yongjun Chen. "Spatial externalities in China regional economic growth." China Economic Review 21 (September 2010): S20—S31. http://dx.doi.org/10.1016/j.chieco.2010.05.006.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

SAWADA, Hideki, Shinya FUJII, Akira USHIYAMA, Kazuhiko YASUMURA, and Kazuo TANISHITA. "A TEMPORAL-SPATIAL ANALYSIS OF TUMOR GROWTH AND ANGIOGENESIS(3D3 Biorheology & Microcirculation II)." Proceedings of the Asian Pacific Conference on Biomechanics : emerging science and technology in biomechanics 2007.3 (2007): S231. http://dx.doi.org/10.1299/jsmeapbio.2007.3.s231.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Guo, Yipei, Mikhail Tikhonov, and Michael P. Brenner. "Local growth rules can maintain metabolically efficient spatial structure throughout growth." Proceedings of the National Academy of Sciences 115, no. 14 (March 19, 2018): 3593–98. http://dx.doi.org/10.1073/pnas.1801853115.

Full text

Abstract:

A ubiquitous feature of bacterial communities is the existence of spatial structures. These are often coupled to metabolism, whereby the spatial organization can improve chemical reaction efficiency. However, it is not clear whether or how a desired colony configuration, for example, one that optimizes some overall global objective, could be achieved by individual cells that do not have knowledge of their positions or of the states of all other cells. By using a model which consists of cells producing enzymes that catalyze coupled metabolic reactions, we show that simple, local rules can be sufficient for achieving a global, community-level goal. In particular, even though the optimal configuration varies with colony size, we demonstrate that cells regulating their relative enzyme levels based solely on local metabolite concentrations can maintain the desired overall spatial structure during colony growth. We also show that these rules can be very simple and hence easily implemented by cells. Our framework also predicts scenarios where additional signaling mechanisms may be required.

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!