Good Gardening for a Perennial Economy: What’s the Optimal Growth Path for a Regional Economy?

2018 ◽  
Vol 52 (1) ◽  
pp. 29-44
Author(s):  
Jim McFarlane ◽  
Boyd Blackwell ◽  
Stuart Mounter
Keyword(s):  
Regional Economy ◽  
Optimal Growth ◽  
Growth Path ◽  
Optimal Growth Path

Citations optimal growth path: A tool to analyze sensitivity to citations of h-like indexes

2021 ◽  
Vol 15 (4) ◽  
pp. 101215
Author(s):  
Meiqian Chen ◽  
Zhaoxia Guo ◽  
Yucheng Dong ◽  
Francisco Chiclana ◽  
Enrique Herrera-Viedma
Keyword(s):  
Optimal Growth ◽  
Growth Path ◽  
Optimal Growth Path

Theory of Environmental Kuznets Curve

2011 ◽  
Vol 361-363 ◽  
pp. 1697-1702
Author(s):  
Lan Xu
Keyword(s):  
Economic Growth ◽  
Environmental Kuznets Curve ◽  
Optimal Growth ◽  
Kuznets Curve ◽  
Ekc Hypothesis ◽  
Growth Path ◽  
State Variable ◽  
Pollution Emission ◽  
Optimal Growth Path ◽  
The Relationship

The paper develops a two-state-variable environmental growth model to derive the optimal growth path for the relationship between pollution and economic growth, which is used to verify the existence of the Environmental Kuznets Curve (EKC) hypothesis. It is found that the theoretical outcomes imply the existence of the EKC relationship between environmental degradation and economic growth, which is dependent on the combining effects of the pollution intensity, abatement technology of pollution emission, production technology, and the return rate of capital stock.

Proposed Optimal Growth Pathfinding Method Based on Growth Trajectories

2015 ◽  
Vol 6 (4) ◽  
pp. 70-89
Author(s):  
Niu Woyuan ◽  
Ryosuke Saga ◽  
Hiroshi Tsuji ◽  
Yukie Majima
Keyword(s):  
Software Engineer ◽  
Optimal Growth ◽  
Learning Objectives ◽  
Growth Trajectories ◽  
Growth Path ◽  
Flexible Approach ◽  
Data Standardization ◽  
Optimal Growth Path ◽  
The Cost ◽  
Structure Extraction

In this study, the authors propose an optimal growth pathfinding method to support learners in effectively mastering a set of capabilities. Under the assumption of prerequisite relationships among learning objectives, the main processes of the method are as follows: (1) extracting the capability structure from growth trajectories, (2) remodeling the problem as a traveling salesman problem with restrictions among learning objectives, and (3) generating the cost matrix and obtaining the optimal growth path. In addition, a flexible approach to data standardization as a step of capability structure extraction is discussed. The proposed method is also applied to a software engineer growth dataset with 30 responders.

scholarly journals Existence of an optimal growth path with endogenous technical change

1995 ◽  
Vol 48 (3-4) ◽  
pp. 433-439 ◽  
Author(s):  
Graciela Chichilnisky ◽  
Paul F. Gruenwald
Keyword(s):  
Technical Change ◽  
Optimal Growth ◽  
Growth Path ◽  
Endogenous Technical Change ◽  
Optimal Growth Path

scholarly journals Optimal Emission Prices Over the Business Cycles

2021 ◽  
Author(s):  
Jussi Lintunen ◽  
Lauri Vilmi
Keyword(s):  
Business Cycles ◽  
Marginal Utility ◽  
Optimal Growth ◽  
Carbon Price ◽  
Environmental Damage ◽  
Growth Path ◽  
Price Fluctuations ◽  
Climate Policies ◽  
Optimal Growth Path ◽  
Carbon Prices

AbstractWe prove that under the most typical circumstances optimal emission prices are procyclical, i.e., prices should be lower during recessions. The procyclicality is more likely when emissions propagate very slowly into environmental damage. A prime example of such process is $$\hbox {CO}_2$$ CO 2 emissions. We show that carbon prices should be closely linked to the fluctuations of the marginal utility of consumption, which implies relatively modest magnitude of carbon price fluctuations. Our findings imply that climate policies should focus on setting the carbon price to the optimal growth path level and give carbon price fluctuations only a secondary role. Opposite to the carbon price, the cyclicality of optimal emissions depends on the production technology in the energy sector, and may become countercyclical in future if the technology mix becomes less fossil dependent.

scholarly journals Productivity and profitability of alternative steer growth paths resulting from accessing high-quality forage systems in the subtropics of northern Australia: a modelling approach

2019 ◽  
Vol 59 (9) ◽  
pp. 1739
Author(s):  
M. K. Bowen ◽  
F. Chudleigh
Keyword(s):  
Financial Risk ◽  
Production Systems ◽  
Limited Resource ◽  
Optimal Growth ◽  
Growth Path ◽  
High Quality ◽  
Buffel Grass ◽  
Base Scenario ◽  
Beef Producers ◽  
Optimal Growth Path

Beef producers have to determine the best allocation of a limited resource of high-quality forage. This analysis assessed the most profitable way of incorporating high-quality forages into the whole-of-life steer growth path on forage systems in central Queensland, using property-level, regionally relevant herd models that determine whole-of-business productivity and profitability over a 30-year investment period. Twenty-two growth paths (liveweight change over time) from weaning to marketing were investigated for steers grazing buffel grass (Cenchrus ciliaris) pastures with and without access to leucaena–grass pastures (Leucaena leucocephala spp. glabrata + perennial, tropical grass (C4) species) or forage oats (Avena sativa) for varying intervals throughout their growth path. The production, economic and financial effect of each growth path was assessed by comparison to a base scenario that produced finished, slaughter steers (605 kg) from buffel grass pastures. The relative profitability of marketing steers at feedlot entry (feed-on) weight (474 kg) instead of slaughter weights was also assessed. The growth paths were applied within two beef enterprises, namely (1) steer turnover and (2) breeding and finishing. For both enterprises, grazing steers on leucaena-grass pastures from weaning until they achieved feedlot entry weight (474 kg) was substantially more profitable than any other growth path. Compared with the base scenario, this optimal growth path improved profitability by 121% and 37% for the steer turnover and the breeding and finishing enterprises respectively. The purchase of additional breeders for the latter enterprise was required to optimise utilisation of the leucaena–grass pastures immediately. Incorporating leucaena–grass pastures at any steer age improved the profitability of the steer turnover enterprise (AU$7368–AU$106508 extra profit/annum), and similarly for the breeding and finishing enterprise (AU$1754–AU$31383 extra profit/annum) except for two scenarios where leucaena–grass pastures were provided to older steers targeted at the feed-on market (AU$4816 and AU$23886 less profit/annum). However, incorporation of leucaena–grass into steer growth paths also resulted in increased peak deficit levels and financial risk to the business compared with buffel grass-only production systems, with payback periods for the most profitable growth path of 8 and 14 years for the steer turnover and the breeding and finishing enterprise respectively. All growth paths that incorporated forage oats and leucaena–grass resulted in lower economic and financial performance than did comparable growth paths that incorporated leucaena–grass only. Furthermore, incorporating oats into buffel grass-only growth paths always reduced the enterprise profitability. There was no relationship, across scenarios within an enterprise, between change in profit and the number of extra weaners produced or the amount of extra beef produced per hectare.

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