scholarly journals On the impact of Urbanisation on CO2 Emissions

2021 ◽  
Author(s):  
Muhammad Luqman ◽  
Peter Rayner ◽  
Kevin Gurney
Keyword(s):  
Population Density ◽  
Co2 Emissions ◽  
Developed Countries ◽  
Data Set ◽  
Time Resolved ◽  
Almost Everywhere ◽  
Per Capita ◽  
Urban Extent ◽  
Urban Emissions ◽  
The Impact

We use a globally consistent, time-resolved data set of CO2 emission proxies to quantify urban CO2 emissions in 91 cities. We decompose emissiontrends into contributions from changes in urban extent, population density and per capita emissions. We find that urban CO2 emissions areincreasing everywhere but that the dominant contributors differ according to development level. A cluster analysis of factors shows that developingcountries were dominated by cities with rapid area and per capita CO2 emissions increases. Cities in the developed world, by contrast, show slow area and per capita CO2 emissions growth. China is an important intermediate case with rapid urban area growth combined with slower per capita CO2 emissions growth. For many developed countries, urban per capita emissions are often lower than their national average suggesting that urbanisation may reduce overall emissions. However trends in per capita urban emissions are higher than their national equivalent almost everywhere suggesting that urbanisation will become a more serious problem in future. An important exception is China whose per capita urban emissions are growing more slowly than the national value. We also see anegative correlation between trends in population density and per capita CO2 emissions, highlighting a strong role for densification as a tool toreduce CO2 emissions.

scholarly journals Effects of Kyoto Protocol on CO2 Emissions: A Five-Country Rolling Regression Analysis

2019 ◽  
Vol 11 (3) ◽  
pp. 744
Author(s):  
Chien-Ho Wang ◽  
Ming-Hui Ko ◽  
Wan-Jiun Chen
Keyword(s):  
Co2 Emissions ◽  
Kyoto Protocol ◽  
Carbon Dioxide Emissions ◽  
Global Financial Crisis ◽  
Turning Points ◽  
Developed Countries ◽  
Heated Debate ◽  
Per Capita ◽  
Rolling Regression ◽  
The Impact

The current study illustrated the time variance of turning points in the relationship between carbon emissions and income to resolve heated debate on the different responsibility to climate change with 1950–2010 data of five development diversity countries—three developed countries (Germany, Italy, and Japan) and one developing country (India) and one newly industrialized economy (Taiwan). The article also examines the impact of the crisis on emission. The time-varying patterns in the turning points on environmental Kuznets curves (EKCs) were observed by a rolling regression technique with 1950–2010 data regarding the per capita CO2 emissions caused by fossil fuel combustion and the incomes of the countries. Several empirical findings were revealed from this analysis. Per capita CO2 emissions commonly decreased with varying magnitudes in the five countries over time. The EKC hypothesis regarding the CO2 emissions is affirmed again in this study. The announcement effects associated with the Kyoto Protocol was evidenced. As indicated by the occurring GDP of the turning point, there is a strong reduction trend in the income level of the turning points right before the years of Kyoto Protocol; and this decreasing trend nearly ended as the Kyoto protocol approached its end, except in Germany, where the occurring income of the turning points continued to have a decreasing trend. Although the global financial crisis had its effects in the world, the impacts on carbon dioxide emissions vary across countries.

scholarly journals Trends of forest area and population and the impact of population on forest area per hectare in Serbia without APS

2012 ◽  
pp. 183-196
Author(s):  
Nenad Rankovic
Keyword(s):  
Population Density ◽  
Population Growth ◽  
Forest Cover ◽  
Forest Policy ◽  
Forest Area ◽  
Economic Changes ◽  
Policy Measures ◽  
Per Capita ◽  
The Impact

Socio-economic changes throughout history have shaped the attitude towards the forest and most significant ones are changes in terms of population. Over the centuries population and population density have had a significant impact on deforestation and the reduction of forest areas. Therefore, it is important to check what kind of trends are concerned and how population growth affects forest areas, forest cover and forest area per capita. These elements are important for assessing the direction, intensity of activity and the degree of success in the implementation of all forest policy measures in Serbia.

The Impact of Awareness Regarding Environmental Protection Laws on Ecological Degradation

2022 ◽  
pp. 31-43
Author(s):  
Atul Bamrara
Keyword(s):  
Environmental Protection ◽  
Environmental Degradation ◽  
Rural Areas ◽  
Labour Force ◽  
Developed Countries ◽  
Global Environmental ◽  
Level Of Economic Development ◽  
Per Capita ◽  
The Impact

Global environmental troubles are gaining significance because of the speedy and antagonistic speed of urbanization. Environmental degradation restricts the flow of environmental services. Dumping of pollutants in excess of its assimilative capacity into air, water, and soil results in deterioration of the quality of these vital resources. The nature of environmental problem depends upon the level of economic development and the geographical condition of the area under consideration. India being a developing economy with a low per capita income, high population density, agriculture-dependent labour force, and high percentage of rural areas, the problems here are different from those in developed countries. The chapter highlights the impact of knowledge regarding environmental protection issues on environmental degradation.

Does the origin matter? The effects of cross-border mergers and acquisitions in France

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Federico Carril-Caccia
Keyword(s):  
Foreign Direct Investment ◽  
Mergers And Acquisitions ◽  
Direct Investment ◽  
Developed Countries ◽  
Emerging Countries ◽  
Intangible Asset ◽  
Data Set ◽  
Content Type ◽  
Cross Border ◽  
The Impact

PurposeThe present article analyses the effects of cross-border mergers and acquisitions (CBM&As) on targets' total factor productivity (TFP), employment, wages and intangible-asset investment. The author investigates whether the impact of CBM&As differs depending on the origin of the investing multinational (MNE). The author distinguishes between CBM&As from European countries, other developed countries and emerging countries.Design/methodology/approachThe author makes use of a unique firm-level data set of foreign direct investment in the French manufacturing sector. The authors applies propensity score matching and difference in differences to estimate the effect of CBM&As.FindingsThe results show that the consequences of CBM&As differ strongly depending on the origin. CBM&As from European MNEs have a positive impact on TFP, wages and intangible-asset investment, and those from emerging countries seem to increase wages and intangible-asset investments. In contrast, CBM&As that originate from MNEs from other developed countries do not have a significant effect.Originality/valueThis article contributes to the growing literature on the effects of foreign direct investment that highlights the relevance of accounting for the MNEs' origin. In particular, it is the first to address the impact of emerging-country MNEs' CBM&As in Europe.

scholarly journals Big Data Analytics Capabilities and Eco-Innovation: A Study of Energy Companies

2019 ◽  
Vol 11 (15) ◽  
pp. 4254 ◽  
Author(s):  
Munodawafa ◽  
Johl
Keyword(s):  
Big Data ◽  
Production Process ◽  
Co2 Emissions ◽  
Data Analytics ◽  
Strong Predictor ◽  
Big Data Analytics ◽  
Cleaner Production ◽  
Mitigation Strategies ◽  
Per Capita ◽  
The Impact

Increased greenhouse gas (GHG) emissions in the past decades have created concerns about the environment. To stymie global warming and the deterioration of the natural environment, global CO2 emissions need to reach approximately 1.3 tons per capita by 2050. However, in Malaysia, CO2 output per capita—driven by fossil fuel consumption and energy production—is expected to reach approximately 12.1 tons by the year 2020. GHG mitigation strategies are needed to address these challenges. Cleaner production, through eco-innovation, has the potential to arrest CO2 emissions and buttress sustainable development. However, the cleaner production process has been hampered by lack of complete data to support decision making. Therefore, using the resource-based view, a preliminary study consisting of energy and utility firms is undertaken to understand the impact of big data analytics towards eco-innovation. Linear regression through SPSS Version 24 reveals that big data analytics could become a strong predictor of eco-innovation. This paper concludes that information and data are key inputs, and big data technology provides firms the opportunity to obtain information, which could influence its production process—and possibly help arrest increasing CO2 emissions.

The Environmental Kuznets Curve

2017 ◽  
Author(s):  
David I. Stern
Keyword(s):  
Economic Growth ◽  
Environmental Impacts ◽  
Environmental Kuznets Curve ◽  
Human Impacts ◽  
Developed Countries ◽  
Environmental Problems ◽  
Gdp Per Capita ◽  
Kuznets Curve ◽  
Per Capita ◽  
The Impact

The environmental Kuznets curve (EKC) is a hypothesized relationship between environmental degradation and GDP per capita. In the early stages of economic growth, pollution emissions and other human impacts on the environment increase, but beyond some level of GDP per capita (which varies for different indicators), the trend reverses, so that at high income levels, economic growth leads to environmental improvement. This implies that environmental impacts or emissions per capita are an inverted U-shaped function of GDP per capita. The EKC has been the dominant approach among economists to modeling ambient pollution concentrations and aggregate emissions since Grossman and Krueger introduced it in 1991 and is even found in introductory economics textbooks. Despite this, the EKC was criticized almost from the start on statistical and policy grounds, and debate continues. While concentrations and also emissions of some local pollutants, such as sulfur dioxide, have clearly declined in developed countries in recent decades, evidence for other pollutants, such as carbon dioxide, is much weaker. Initially, many understood the EKC to imply that environmental problems might be due to a lack of sufficient economic development, rather than the reverse, as was conventionally thought. This alarmed others because a simplistic policy prescription based on this idea, while perhaps addressing some issues like deforestation or local air pollution, could exacerbate environmental problems like climate change. Additionally, many of the econometric studies that supported the EKC were found to be statistically fragile. Some more recent research integrates the EKC with alternative approaches and finds that the relation between environmental impacts and development is subtler than the simple picture painted by the EKC. This research shows that usually, growth in the scale of the economy increases environmental impacts, all else held constant. However, the impact of growth might decline as countries get richer, and richer countries are likely to make more rapid progress in reducing environmental impacts. Finally, there is often convergence among countries, so that countries that have relatively high levels of impacts reduce them more quickly or increase them more slowly, all else held constant.

scholarly journals PERTUMBUHAN PENDUDUK, INFLASI DAN KORUPSI: ANALISIS EMPIRIS ENVIRONMENTAL KUZNETS CURVE (EKC) DI KAWASAN ASEAN PERIODE 2002-2016

2019 ◽  
Vol 1 (3) ◽  
pp. 71
Author(s):  
Muhammad Fajri Setia Trianto ◽  
Evi Yulia Purwanti
Keyword(s):  
Economic Growth ◽  
Population Growth ◽  
Co2 Emissions ◽  
Environmental Kuznets Curve ◽  
Secondary Data ◽  
Gdp Per Capita ◽  
Environmental Damage ◽  
Kuznets Curve ◽  
Per Capita ◽  
The Impact

The economy that continues to grow has the impact of environmental damage. This study aims to prove empirically the Environmental Kuznets Curve (EKC) hypothesis by analyzing the relationship of economic growth with environmental damage as measured by GDP per capita, and CO2 emissions. The data used are secondary data in the form of data on GDP per capita, CO2 emissions, population growth, inflation, and control of corruption in 10 countries in the ASEAN region in 2002-2016. Data analysis using the Fixed Effect model. The results show that there is a relationship between economic growth and environmental damage that forms an inverted U curve. Economic growth will initially have a positive effect on environmental damage so that at a point of economic growth negatively affects environmental damage. By adding control variables: population growth, inflation and corruption, inflation and corruption positively impact environmental damage, while population negatively affect environmental damage.

scholarly journals Impact of human population density on fire frequency at the global scale

2013 ◽  
Vol 10 (10) ◽  
pp. 15735-15778 ◽  
Author(s):  
W. Knorr ◽  
T. Kaminski ◽  
A. Arneth ◽  
U. Weber
Keyword(s):  
Population Density ◽  
Human Population ◽  
Global Analysis ◽  
Global Scale ◽  
Fire Frequency ◽  
System Component ◽  
Burned Area ◽  
Data Set ◽  
In Fire ◽  
The Impact

Abstract. Human impact on wildfires, a major Earth system component, remains poorly understood. While local studies have found more fires close to settlements and roads, assimilated charcoal records and analyses of regional fire patterns from remote-sensing observations point to a decline in fire frequency with increasing human population. Here, we present a global analysis using three multi-year satellite-based burned-area products combined with a parameter estimation and uncertainty analysis with a non-linear model. We show that at the global scale, the impact of increasing population density is mainly to reduce fire frequency. Only for areas with up to 0.1 people per km2, we find that fire frequency increases by 10 to 20% relative to its value at no population. The results are robust against choice of burned-area data set, and indicate that at only very few places on Earth, fire frequency is limited by human ignitions. Applying the results to historical population estimates results in a moderate but accelerating decline of global burned area by around 14% since 1800, with most of the decline since 1950.

scholarly journals Economics of Property Crime Rate in Punjab

2013 ◽  
Vol 52 (3) ◽  
pp. 221-233
Author(s):  
Shahzad Mahmood Jabbar ◽  
Hasan M. Mohsin
Keyword(s):  
Population Density ◽  
Crime Rate ◽  
Time Series Data ◽  
Negative Relationship ◽  
Property Crime ◽  
Deterrent Effect ◽  
Series Data ◽  
Data Set ◽  
Police Strength ◽  
The Impact

This study intends to ascertain the impact of socio-economic, demographic and deterrent variables and the effect of technical criminal know-how and past criminal experience on property crime rate. The property crime equation comprises of the following independent variables: population density, unemployment rate, literacy rate, police strength and number of police proclaimed offenders in a society. The property crime equation has been estimated by using a time-series data set for Punjab from 1978 to 2012. We have applied Johansen cointegration approach to test the long run relationship among the variables. Empirical findings suggest that police strength has a deterrent effect while past criminal experience enhances property crime rate in Punjab. The study finds population density has a significant positive relationship while education has a significant negative relationship with property crime rate. Further we also find a negative relationship between unemployment and property crime which is supported by the concept of ‘consensus of doubt’ in the discipline of crime and economics. JEL Classification: D6

scholarly journals The role of corporate governance on CSR disclosure and firm performance in a voluntary environment

2019 ◽  
Vol 20 (2) ◽  
pp. 294-306 ◽  
Author(s):  
Aruoriwo Marian Chijoke-Mgbame ◽  
Chijoke Oscar Mgbame ◽  
Simisola Akintoye ◽  
Paschal Ohalehi
Keyword(s):  
Corporate Governance ◽  
Firm Performance ◽  
Developed Countries ◽  
Economic Benefits ◽  
Data Set ◽  
Content Type ◽  
Csr Disclosure ◽  
The Impact ◽  
Moderating Role

Purpose This study aims to investigate the impact of corporate social responsibility disclosure (CSRD) on firm performance and the moderating role of corporate governance on the CSRD–firm performance relationship of listed companies in Nigeria. Design/methodology/approach The paper uses a panel data set comprising 841 firm-year observations for the period covering 2007-2016. Fixed effect regression analysis was used to examine the relationship between CSRD and firm performance, and the moderating role of corporate governance in the CSRD–firm performance relationship. Findings The results of the study show that there are positive performance implications for firms that engage in CSRD. Although this study finds no effect of board size on the CSRD–firm performance relationship, it provides a strong evidence of a positive effect of board independence on the CSR–firm performance relationship. Practical implications The study contributes to the understanding of CSRD–firm performance relationship by providing evidence of the moderating role of corporate governance. It is, therefore, recommended that a stronger regulation be put in place for CSR engagement and the disclosure of same in Nigeria as well as robust measures for the enforcement of corporate governance mechanisms because there are economic benefits to be derived. Originality/value The findings contribute to the literature by providing up-to-date and original insights on the CSRD–firm performance relationship within a developing country context. It also uses an uncommon method of measuring CSRD, taking into account the institutional biases that may arise from other methods used in studies on developed countries.

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