Impact of Trade in Class-A Environmental Products on Economic Growth and Environmental Quality

2020 ◽  
pp. 183-208
Author(s):  
Sélima Ben Zineb
Keyword(s):  
Developing Countries ◽  
Environmental Policy ◽  
Least Squares ◽  
Environmental Quality ◽  
Indirect Effects ◽  
Least Squares Regression ◽  
Environmental Goods ◽  
Class A ◽  
Commercial Activities ◽  
Clean Technologies

Openness to international trade enables several countries to access different markets. Similarly, the orientation of industrial productions towards ecological goods reinforces commercial activities and contributes to the improvement of environmental quality. The aim of this chapter is to estimate the indirect and the direct effects of trade in what the authors call “Class A” environmental goods on air quality for a number of developing during the period 2005-2015 (through environmental policy and income). Empirically, the study relies on the two-stage least squares (2SLS) and three-stage least squares regression analyses. For end-of-pipe (EOP) products in developing countries, neither direct nor indirect effects are identified on the reduction of pollution. For clean technologies and products, we can observe a global positive effect resulting from two positive indirect effects via environmental policy and income. In developing countries, it seems that trade in clean technologies and products (CTP) and in the OA product list generates an intensification of pollution through an increase in wealth and the adoption of a strict environmental policy (based on taxation).

ANALISIS PENERAPAN KEBIJAKAN KYOTO PROTOCOL

2015 ◽  
Vol 19 (2) ◽  
pp. 111-127
Author(s):  
Muryani Muryani ◽  
Citra Pertiwi
Keyword(s):  
Developing Countries ◽  
Environmental Policy ◽  
Kyoto Protocol ◽  
Environmental Quality ◽  
Malmquist Index ◽  
Environmental Efficiency ◽  
Efficient Technology ◽  
Input And Output ◽  
Using Data ◽  
The Cost

Increasing competition of good output which interpreted with GDP in developed and developing countries that are members of the G20, have some impact on the degradation of environmental quality. The Production of good output namely GDP cannot be separated from bad output’s production which is CO2. The need for the Kyoto protocol as an environmental policy which has been ratified by the G20 that supposing to control emission levels which can be measured by the measurement of the environmental efficiency of the G20 countries. Apart from the environmental efficiency, efficiency is not the main criterion for making a country to be standard for another country. On the other hand, the performance quality of the environment must also be taken into account. The amount of the cost of environmental policy to maximize environmental efficiency of a country but the environmental performance of the country, state inefficiency in the cost of the policy then the country has not been used in a cost-efficient technology for improving the environmental quality. The approach which has used in this study is a quantitative approach, using Data Envelopment Analysis (DEA). To specify the input and output that is used in determining the environmental efficiency using Malmquist Index. The input and output is processed by looking at differences in productivity and incorporate technological change in its interpretation. It can be concluded that the value of the environmental efficiency of some countries are on the production frontier even if the Kyoto protocol is not implemented, but with the policy of the Kyoto protocol was able to further improve the efficiency of the environment. In some other countries for example Brazil rose from 70.09% to 83.49%, while the Germany states increased by 4.43% in their environmental policy. From some countries evident  show that the policy of the Kyoto protocol succeeded in carrying out its role as controlling the growth of emissions in developed and developing countries, especially the G20 members.

Use of reflectance spectroscopy to estimate the organic carbon and CaCO3 contents of soils

2012 ◽  
Vol 61 (2) ◽  
pp. 277-290 ◽  
Author(s):  
Ádám Csorba ◽  
Vince Láng ◽  
László Fenyvesi ◽  
Erika Michéli
Keyword(s):  
Organic Carbon ◽  
Least Squares ◽  
Partial Least Squares ◽  
Partial Least Squares Regression ◽  
Mean Squared Error ◽  
Reflectance Spectroscopy ◽  
Least Squares Regression ◽  
Root Mean Squared Error ◽  
Squared Error

Napjainkban egyre nagyobb igény mutatkozik olyan technológiák és módszerek kidolgozására és alkalmazására, melyek lehetővé teszik a gyors, költséghatékony és környezetbarát talajadat-felvételezést és kiértékelést. Ezeknek az igényeknek felel meg a reflektancia spektroszkópia, mely az elektromágneses spektrum látható (VIS) és közeli infravörös (NIR) tartományában (350–2500 nm) végzett reflektancia-mérésekre épül. Figyelembe véve, hogy a talajokról felvett reflektancia spektrum információban nagyon gazdag, és a vizsgált tartományban számos talajalkotó rendelkezik karakterisztikus spektrális „ujjlenyomattal”, egyetlen görbéből lehetővé válik nagyszámú, kulcsfontosságú talajparaméter egyidejű meghatározása. Dolgozatunkban, a reflektancia spektroszkópia alapjaira helyezett, a talajok ösz-szetételének meghatározását célzó módszertani fejlesztés első lépéseit mutatjuk be. Munkánk során talajok szervesszén- és CaCO3-tartalmának megbecslését lehetővé tévő többváltozós matematikai-statisztikai módszerekre (részleges legkisebb négyzetek módszere, partial least squares regression – PLSR) épülő prediktív modellek létrehozását és tesztelését végeztük el. A létrehozott modellek tesztelése során megállapítottuk, hogy az eljárás mindkét talajparaméter esetében magas R2értéket [R2(szerves szén) = 0,815; R2(CaCO3) = 0,907] adott. A becslés pontosságát jelző közepes négyzetes eltérés (root mean squared error – RMSE) érték mindkét paraméter esetében közepesnek mondható [RMSE (szerves szén) = 0,467; RMSE (CaCO3) = 3,508], mely a reflektancia mérési előírások standardizálásával jelentősen javítható. Vizsgálataink alapján arra a következtetésre jutottunk, hogy a reflektancia spektroszkópia és a többváltozós kemometriai eljárások együttes alkalmazásával, gyors és költséghatékony adatfelvételezési és -értékelési módszerhez juthatunk.

Speech Emotion Recognition Based on Sparse Representation

2013 ◽  
Vol 38 (4) ◽  
pp. 465-470 ◽  
Author(s):  
Jingjie Yan ◽  
Xiaolan Wang ◽  
Weiyi Gu ◽  
LiLi Ma
Keyword(s):  
Dimensionality Reduction ◽  
Emotion Recognition ◽  
Least Squares ◽  
Partial Least Squares ◽  
Partial Least Squares Regression ◽  
Speech Emotion Recognition ◽  
Least Squares Regression ◽  
Computer Science Pedagogy ◽  
Reduction Methods ◽  
Analysis Computer

Abstract Speech emotion recognition is deemed to be a meaningful and intractable issue among a number of do- mains comprising sentiment analysis, computer science, pedagogy, and so on. In this study, we investigate speech emotion recognition based on sparse partial least squares regression (SPLSR) approach in depth. We make use of the sparse partial least squares regression method to implement the feature selection and dimensionality reduction on the whole acquired speech emotion features. By the means of exploiting the SPLSR method, the component parts of those redundant and meaningless speech emotion features are lessened to zero while those serviceable and informative speech emotion features are maintained and selected to the following classification step. A number of tests on Berlin database reveal that the recogni- tion rate of the SPLSR method can reach up to 79.23% and is superior to other compared dimensionality reduction methods.

An Approach of the Madeira Wine Chemistry

Beverages ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. 12 ◽  
Author(s):  
Rosa Perestrelo ◽  
Catarina Silva ◽  
Carolina Gonçalves ◽  
Mariangie Castillo ◽  
José S. Câmara
Keyword(s):  
Mass Spectrometry ◽  
Gas Chromatography ◽  
Least Squares ◽  
Partial Least Squares ◽  
Chemical Reactions ◽  
Ageing Process ◽  
Gas Chromatography Mass Spectrometry ◽  
Wine Aroma ◽  
Least Squares Regression ◽  
Volatile Composition

Madeira wine is a fortified Portuguese wine, which has a crucial impact on the Madeira Island economy. The particular properties of Madeira wine result from the unique and specific winemaking and ageing processes that promote the occurrence of chemical reactions among acids, sugars, alcohols, and polyphenols, which are important to the extraordinary quality of the wine. These chemical reactions contribute to the appearance of novel compounds and/or the transformation of others, consequently promoting changes in qualitative and quantitative volatile and non-volatile composition. The current review comprises an overview of Madeira wines related to volatile (e.g., terpenes, norisoprenoids, alcohols, esters, fatty acids) and non-volatile composition (e.g., polyphenols, organic acids, amino acids, biogenic amines, and metals). Moreover, types of aroma compounds, the contribution of volatile organic compounds (VOCs) to the overall Madeira wine aroma, the change of their content during the ageing process, as well as the establishment of the potential ageing markers will also be reviewed. The viability of several analytical methods (e.g., gas chromatography-mass spectrometry (GC-MS), two-dimensional gas chromatography and time-of-flight mass spectrometry (GC×GC-ToFMS)) combined with chemometrics tools (e.g., partial least squares regression (PLS-R), partial least squares discriminant analysis (PLS-DA) was investigated to establish potential ageing markers to guarantee the Madeira wine authenticity. Acetals, furanic compounds, and lactones are the chemical families most commonly related with the ageing process.

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