2022
DOI: 10.1007/s13235-022-00445-z
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Investment in Cleaner Technologies in a Transboundary Pollution Dynamic Game: A Numerical Investigation

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Cited by 4 publications
(4 citation statements)
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“…WP risk sources are factors that may lead to WP incidents, including people, objects and events with hazardous and uncertain characteristics [8]. Risk sources can be divided into two categories in terms of source, namely man-made risk sources and natural risk sources.…”
Section: Risk Sources Of Sudden Wp Accidentsmentioning
confidence: 99%
“…WP risk sources are factors that may lead to WP incidents, including people, objects and events with hazardous and uncertain characteristics [8]. Risk sources can be divided into two categories in terms of source, namely man-made risk sources and natural risk sources.…”
Section: Risk Sources Of Sudden Wp Accidentsmentioning
confidence: 99%
“…Zeng et al proposed a hybrid game theory and mathematical planning model (HGT-MPM) to solve the transboundary water pollution problem in two cities in northern China by reasonably allocating the water rights and pollutant discharge rights of the two cities [14]. De Frutos et al investigated the strategic effects of regional investments in adopting clean technologies and examined the feedback equilibrium of a dynamic game of non-cooperative transboundary pollution between two regions in an infinite range [15]. Evolutionary game theory was used by Yuan et al to examine stakeholders' tactical decision-making involving conflicts of interests around water pollution [16].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Li and Guo [40] developed a dynamic decision model of transboundary basin pollution with emission permits trading and pollution abatement investment. De Frutos et al [41] used a differential game model to compare the equilibrium trajectories of the stocks of pollution and cleaner technology as well the regions' welfare. De Frutos and Martín-Herrán [42] analyzed a transboundary pollution differential game and introduced a spatial dimension to capture the geographical relationships among regions.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The output and abatement level of each firm depend on the allowable emissions in two regions; ∂q iS θ i , θ j /∂θ i > 0, ∂q jS θ i , θ j /∂θ i < 0, which means that when the emission standard level in region i is more restrictive (i.e., a decrease in θ i ), the output of firm in region i will decrease correspondingly, while the output of the firm in region j will increase. This phenomenon is called the "rent-shifting" effect [41,50], i.e., local strict environmental policies will reduce the output of the local firm, but will simultaneously increase the output of the firm in the neighboring region. From the reaction function of the pollution abatement level of the firm in region i, ∂r iS θ i , θ j /∂θ i < 0, ∂r jS θ i , θ j /∂θ i < 0, and the net emissions ∂E iS θ i , θ j /∂θ i > 0 and ∂E jS θ i , θ j /∂θ i = 0 can be obtained.…”
Section: Emission Standards (Scenario S)mentioning
confidence: 99%