L'ISEW applicato alla Lombardia: pregi, limiti e indicazioni di policy

2009 ◽  
pp. 27-52
Author(s):  
Brugnoli Brugnoli
Keyword(s):  
Environmental Sustainability ◽  
Well Being ◽  
Development Model ◽  
Economic Welfare ◽  
Shadow Prices ◽  
Per Capita Gdp ◽  
Factors Affecting ◽  
Regional Policies ◽  
Per Capita ◽  
Comprehensive Measurement

- This study analyses the evolution of well-being in Lombardy for the period 2000-2004. Methods and Results In order to measure well-being in Lombardy we used the ISEW (Index of Sustainable Economic Welfare) in the version produced by the New Economics Foundation. The ISEW is an index derived from a series of corrections and amendments to GDP, made with the aim of obtaining a comprehensive measurement which takes into account income distribution, environmental sustainability, and wealth stocks, and is immediately comparable with the indicator of regional income. Economic quantification of the components of the ISEW necessitated the use of discrete methodologies, in particular for determining the shadow prices of resources. The results also depend at least in part on these discretional elements. Over the period studied the ISEW for Lombardy was found to outperform per capita GDP, though this performance was not evenly distributed across all the components considered. Conclusions The analysis shows that economic growth achieved during 2000-2004 was not at the expense of sustainability; on the contrary, the development model looked carefully at the most crucial factors affecting sustainability itself. The study concludes by presenting some considerations on the possible use of this index for monitoring the impacts of regional policies.JEL: I31, R11

scholarly journals Investigating Factors Affecting on Per Capita GDP Growth in Different Groups of Countries with Emphasis on Governance Indicators

2018 ◽  
Vol 8 (30) ◽  
pp. 109-145
Author(s):  
Hosein Mohammadi ◽  
Morteza Mohammadi ◽  
Mohammad Tirgari-Seraji ◽  
◽  
◽  
...  
Keyword(s):  
Gdp Growth ◽  
Per Capita Gdp ◽  
Factors Affecting ◽  
Governance Indicators ◽  
Per Capita

scholarly journals Implication of Coal Expansion and Regional Energy Trading Center to Climate Goal: Dual Sustainability Analysis

2021 ◽  
Author(s):  
Edmund Ntom Udemba
Keyword(s):  
Economic Growth ◽  
Economic Performance ◽  
Environmental Sustainability ◽  
Ecological Footprint ◽  
Energy Use ◽  
Kuznets Curve ◽  
Per Capita Gdp ◽  
Long Run ◽  
Short Run ◽  
Per Capita

Abstract This current study seeks to investigate the policy implication of Turkey’s recent energy policies on its sustainable development. This study uses Turkey’s country-specific data and series of 1974 to 2018 for effective investigation and justification of the findings of this study with emphasis on both short run and long run implications. Three models were fitted to achieve study objectives to accommodate both environmental sustainability and economic impacts. Ecological footprint was considered better measure and used as proxy for the environment related model. In summary, with environment models, the selected series (per capita GDP, Industrialization, agriculture, coal as a single energy use and mixed energy use) except per capita GDP2 were found positively and significantly related to ecological footprint both in short run and long run which translates to poor performance of Turkey’s environment. Also, using economic growth model, the selected series (Industrialization, energy use and agriculture) were all confirmed positively and significantly related to the economic growth (per capita GDP). Additionally, Environmental Kuznets Curve (EKC) was established for Turkey’s environment and economic performance. Furthermore, using Granger causality as robust check to these findings, a nexus was found among the series confirming the validity of the cointegration (short and long run policies) estimations and results. In congruence with literature and hypotheses, the results from cointegration estimation shows that the twin polices may be good to the economic performance but will spark off adverse effect on environment.JEL Classification: C1, C32, E6, L7, O4, Q3, Q4, Q5

An index of sustainable economic welfare for Romania

2019 ◽  
Vol 6 (8) ◽  
pp. 1-10
Author(s):  
Anca Butnariu ◽  
Florin Alexandru Luca
Keyword(s):  
Climate Change ◽  
Well Being ◽  
Gdp Per Capita ◽  
Economic Welfare ◽  
Road Accidents ◽  
Distribution Costs ◽  
The Status ◽  
Per Capita ◽  
Household Labour ◽  
Economic Well Being

This paper has the objective to develop an Index of Sustainable Welfare for Romania from 1990 to 2017, in order to more clearly establish the status of the Romanian economy in terms of economic welfare. The results show that whilst gross domestic product (GDP) per capita increased significantly, the ISEW per capita grew at a much slower pace. The value of household labour contributes strongly to the growth of welfare, but income distribution, costs of climate change, cost of road accidents and cost of air pollution limit an improvement of population economic well-being. Our new valuation approach confirms the general conclusion of most authors on economic development that, during last decades, welfare has shown little improvement in spite of a growing GDP. Our conclusion is that the ISEW provides a useful alternative to indicators such as GDP despite subjected to its limitations and criticism. Keywords: Economic welfare, GDP, ISEW.

scholarly journals Analysis of influencing factors of Chinese provincial carbon emissions based on projection pursuit model and Markov transfer matrix

2019 ◽  
Vol 11 (3) ◽  
pp. 406-423 ◽  
Author(s):  
Lei Wen ◽  
Linlin Huang
Keyword(s):  
Carbon Emissions ◽  
Energy Intensity ◽  
Industrial Structure ◽  
Projection Pursuit ◽  
Energy Structure ◽  
Per Capita Gdp ◽  
Content Type ◽  
Factors Affecting ◽  
Optimal Projection ◽  
Per Capita

Purpose Climate change has aroused widespread concern around the world, which is one of the most complex challenges encountered by human beings. The underlying cause of climate change is the increase of carbon emissions. To reduce carbon emissions, the analysis of the factors affecting this type of emission is of practical significance. Design/methodology/approach This paper identified five factors affecting carbon emissions using the logarithmic mean Divisia index (LMDI) decomposition model (e.g. per capita carbon emissions, industrial structure, energy intensity, energy structure and per capita GDP). Besides, based on the projection pursuit method, this paper obtained the optimal projection directions of five influencing factors in 30 provinces (except for Tibet). Based on the data from 2000 to 2014, the authors predicted the optimal projection directions in the next six years under the Markov transfer matrix. Findings The results indicated that per capita GDP was the critical factor for reducing carbon emissions. The industrial structure and population intensified carbon emissions. The energy structure had seldom impacted on carbon emissions. The energy intensity obviously inhibited carbon emissions. The best optimal projection direction of each index in the next six years remained stable. Finally, this paper proposed the policy implications. Originality/value This paper provides an insight into the current state and the future changes in carbon emissions.

scholarly journals Linking forests and economic well-being: a four-quadrant approach

2007 ◽  
Vol 37 (10) ◽  
pp. 1821-1831 ◽  
Author(s):  
Sen Wang ◽  
C. Tyler DesRoches ◽  
Lili Sun ◽  
Brad Stennes ◽  
Bill Wilson ◽  
...  
Keyword(s):  
Forest Cover ◽  
Significant Proportion ◽  
Forest Products ◽  
Well Being ◽  
Gdp Per Capita ◽  
Factors Affecting ◽  
Principal Factors ◽  
Per Capita ◽  
The Individual ◽  
Four Quadrant

This paper has three main objectives: (i) to investigate whether the four-quadrant approach introduced by     J.S. Maini reveals a useful typology for grouping countries by gross domestic product (GDP) and forest cover per capita, (ii) to determine if the framework can enhance our understanding of the relationship between forest cover and GDP per capita, and (iii) to investigate why countries in the four-quadrant world occupy different quadrants and to determine the principal factors affecting country movement across and within the individual quadrants. The examination reveals that countries can be classified into four broad categories and that GDP and forest cover per capita have a low but consistent level of negative association. After regressing economic, institutional, social capital, and other variables on a country’s occupancy and movement in the four-quadrant world, the results suggest that countries in each quadrant share different characteristics and that factors underlying country movement vary according to the quadrant being observed. Overall, countries with less corruption and higher education are likely to experience increases in both forest cover and GDP per capita, while countries exporting a significant proportion of forest products have a reduced probability of increasing both variables.

scholarly journals Postmaterial Experience Economics, Population, and Environmental Sustainability

2021 ◽  
Vol 2 (2) ◽  
Author(s):  
Douglas Booth
Keyword(s):  
Economic Development ◽  
Population Growth ◽  
Environmental Sustainability ◽  
Well Being ◽  
Political Support ◽  
Way Of Life ◽  
Human Fertility ◽  
Primary Driver ◽  
Per Capita ◽  
Economic Well Being

Postmaterial values with their reduced emphasis on accumulating material possessions lead to greater political support for limits on environmental pollution and to a less entropic way of life that increases environmental sustainability. Similarly, reducing human fertility to replacement levels can stabilize population and increase environmental sustainability in the future by reducing the pressure of population growth on environmental resources. In recent history, increases in per capita economic well being has been a primary driver of expansion in postmaterialism and reduce human fertility worldwide. The irony of this phenomena is that economic development potentially destructive to the environment leads to more postmaterialism and reduced fertility, both of which benefit environmental sustainability. In this article, the underpinnings of these conclusions will be set out as well as possible ways around the dilemma they bring.

scholarly journals Going beyond GDP with a parsimonious indicator: inequality-adjusted healthy lifetime income

2021 ◽  
Author(s):  
David E. Bloom ◽  
Victoria Y. Fan ◽  
Vadim Kufenko ◽  
Osondu Ogbuoji ◽  
Klaus Prettner ◽  
...  
Keyword(s):  
Good Life ◽  
Well Being ◽  
Per Capita Gdp ◽  
Mortality And Morbidity ◽  
Lifetime Income ◽  
Per Capita ◽  
Data Requirements ◽  
Beyond Gdp

Per capita GDP has limited use as a well-being indicator because it does notcapture many dimensions that imply a “good life”, such as health and equality ofopportunity. However, per capita GDP has the virtues of being easy to interpret andto calculate with manageable data requirements. Against this backdrop, there is aneed for a measure of well-being that preserves the advantages of per capita GDP,but also includes health and equality. We propose a new parsimonious indicatorto fill this gap, and calculate it for 149 countries. This new indicator could beparticularly useful in complementing standard well-being indicators during theCOVID-19 pandemic. This is because (i) COVID-19 predominantly affects olderadults beyond their prime working ages whose mortality and morbidity do notstrongly affect GDP, and (ii) COVID-19 is known to have large effects on inequalityin many countries.

International differences in labor productivity: Role of capital, technological level and resource rent

2016 ◽  
pp. 67-93 ◽  
Author(s):  
A. Zaytsev
Keyword(s):  
Labor Productivity ◽  
Developed Countries ◽  
Resource Rent ◽  
Per Capita Gdp ◽  
Technological Level ◽  
Per Capita ◽  
Oil Sector ◽  
Population Ratio ◽  
Gdp Gap ◽  
Productivity Gap

Using level accounting methodology this article examines sources of per capita GDP and labor productivity differences between Russia and developed and developing countries. It considers the role played by the following determinants in per capita GDP gap: per hour labor productivity, number of hours worked per worker and labor-population ratio. It is shown that labor productivity difference is the main reason of Russia’s lagging behind. Factors of Russia’s low labor productivity are then estimated. It is found that 33-39% of 2.5-5-times labor productivity gap (estimated for non-oil sector) between Russia and developed countries (US, Canada, Germany, Norway) is explained by lower capital-to-labor ratio and the latter 58-65% of the gap is due to lower technological level (multifactor productivity). Human capital level in Russia is almost the same as in developed countries, so it explains only 2-4% of labor productivity gap.

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