{"title":"4 A Theoretical Example: CGE Model and Double-Dividend (DD)-Oriented Policies","authors":"","doi":"10.1515/9783110605914-022","DOIUrl":null,"url":null,"abstract":"In this section we will present a theoretical non-extensive cross-entropy (NCE) model to estimate parameters of an environmentally extended CGE model to assess impact of the DD hypothesis. The main issue to be underscored remains the rationale for applying the NCE approach in place of the traditional Kullback-Leibler cross-entropy model (Go et al., 2015). The response lies in the statistical properties of power lawrelated NCE. Due to the estimated parameters of constant elasticity of production models, outputs from both techniques must diverge with a higher performance in the case of NCE estimator (see V.5.3 for details). Both solutions will be similar only when the modelled phenomena display Gaussian distribution. As presented earlier in this part of the book, the negative externalities resulting from pollution is one of the economy-distorting factors that prevents reaching a general equilibrium and Pareto optimum. Pearce (1991) proposed a model to generate double positive impact by introducing a tax imposition on pollutant activities. Once again, the first positive impact results in reducing pollutants through the increase of their production cost. If we use income generated by the tax imposition on pollutant goods to reduce tax in other sectors, a DD may result. This section presents a theoretical CGE model in the context of DD hypothesis testing. The proposed model can enable assessing to what extent the carbon tax can be identified as an important factor affecting the size of the DD, identifying the existence of a strong DD in the economy, or highlighting the weight of certain factors in affecting the presence and size of the DD. This CE formulation may be written as follows:","PeriodicalId":133118,"journal":{"name":"Non-Extensive Entropy Econometrics for Low Frequency Series","volume":"110 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Non-Extensive Entropy Econometrics for Low Frequency Series","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/9783110605914-022","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this section we will present a theoretical non-extensive cross-entropy (NCE) model to estimate parameters of an environmentally extended CGE model to assess impact of the DD hypothesis. The main issue to be underscored remains the rationale for applying the NCE approach in place of the traditional Kullback-Leibler cross-entropy model (Go et al., 2015). The response lies in the statistical properties of power lawrelated NCE. Due to the estimated parameters of constant elasticity of production models, outputs from both techniques must diverge with a higher performance in the case of NCE estimator (see V.5.3 for details). Both solutions will be similar only when the modelled phenomena display Gaussian distribution. As presented earlier in this part of the book, the negative externalities resulting from pollution is one of the economy-distorting factors that prevents reaching a general equilibrium and Pareto optimum. Pearce (1991) proposed a model to generate double positive impact by introducing a tax imposition on pollutant activities. Once again, the first positive impact results in reducing pollutants through the increase of their production cost. If we use income generated by the tax imposition on pollutant goods to reduce tax in other sectors, a DD may result. This section presents a theoretical CGE model in the context of DD hypothesis testing. The proposed model can enable assessing to what extent the carbon tax can be identified as an important factor affecting the size of the DD, identifying the existence of a strong DD in the economy, or highlighting the weight of certain factors in affecting the presence and size of the DD. This CE formulation may be written as follows:
在本节中,我们将提出一个理论上的非广泛交叉熵(NCE)模型来估计环境扩展的CGE模型的参数,以评估DD假设的影响。需要强调的主要问题仍然是应用NCE方法代替传统的Kullback-Leibler交叉熵模型的基本原理(Go et al., 2015)。响应在于幂律相关NCE的统计特性。由于生产模型的估计参数为常弹性,因此两种技术的输出必须偏离,在NCE估计器的情况下性能更高(详见V.5.3)。只有当模型现象呈现高斯分布时,两种解才会相似。正如本书本部分前面所述,污染造成的负外部性是阻碍达到一般均衡和帕累托最优的经济扭曲因素之一。Pearce(1991)提出了一种通过对污染活动征税来产生双重积极影响的模型。再一次,第一个积极影响是通过增加生产成本来减少污染物。如果我们用对污染产品征税产生的收入来减少其他行业的税收,可能会产生DD。本节在DD假设检验的背景下提出了一个理论CGE模型。建议的模型可以评估碳税在多大程度上可以被确定为影响发展中经济体规模的重要因素,确定经济中是否存在强大的发展中经济体,或者突出某些因素在影响发展中经济体的存在和规模方面的权重。这个行政评估公式可以写为: