1996
DOI: 10.1016/0264-9993(96)01016-4
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Modelling sustainable development: An economy-ecology integrated model

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Cited by 31 publications
(26 citation statements)
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“…Bovenberg and Smulders (1995) take a step further and develop a growth model with endogenous pollution saving technology which takes the form of knowledge of an efficient use of renewable resources. Hofkes (1996) builds on the Bovenberg and Smulders model and develops a two-sector growth model that also allows for abatement activities. In section 4 this latter two-sector growth model will be described.…”
Section: Endogenous Growthmentioning
confidence: 99%
“…Bovenberg and Smulders (1995) take a step further and develop a growth model with endogenous pollution saving technology which takes the form of knowledge of an efficient use of renewable resources. Hofkes (1996) builds on the Bovenberg and Smulders model and develops a two-sector growth model that also allows for abatement activities. In section 4 this latter two-sector growth model will be described.…”
Section: Endogenous Growthmentioning
confidence: 99%
“…Over the last decade attention has shifted to modern growth theory (see e.g. Beltratti, 1996;Bovenberg and Smulders, 1995;Hofkes, 1996; and Smulders in this book).…”
Section: Economic Growth Theorymentioning
confidence: 99%
“…Sustainable development can be integrated naturally in this framework by fully specifying economy-ecology interactions with respect to both production processes and welfare. In this approach a broadly defined welfare-function should be used, which also includes environmental quality (see Hofkes, 1996). Under a positive discount rate, however, the (very) long run does not get much weight.…”
mentioning
confidence: 99%
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“…Hofkes [10] states that the interactions between economic activities and the environment have to be modelled in order to investigate the correct conditions for sustainable development to take place successfully. Meadows [11] states that complex systems are characterised by non-linear relationships -between elements in the system -that cause feedback loops to vary in strength, subject to the state of the system.…”
Section: Complex Systemsmentioning
confidence: 99%