Temporal dynamics and spatial differences of household carbon emissions per capita of China’s provinces during 2000–2019

Author(s):  
Ce Song ◽  
Tao Zhao ◽  
Yange Xiao
2021 ◽  
pp. 097491012110043
Author(s):  
Liu Qingjie

This article examines the emerging market countries on their national strategic resources—farmland, fresh water, and fossil energy—which are analyzed from the perspectives of distribution, status of development, and existing issues. The study draws the following conclusions: Emerging market countries have abundant farmland resources yet inadequate per capita resources; because of extensive operation on farmland, grain yield is low, which threatens food security; emerging market countries are saliently short in water resources per capita and face imbalances and low productivity over water use, and their agriculture practices are water-intensive; emerging market countries are growing as global centers for production, consumption, and trade of fossil energy, with a long, coal-dominated consumption structure that has a growing momentum, which subjects them to a greater pressure to reduce carbon emissions; and emerging market countries are inefficient in the use of energy, though they have huge potential for energy conservation and consumption reduction.


2018 ◽  
Vol 9 (2) ◽  
pp. 113-126 ◽  
Author(s):  
Kala Seetharam Sridhar

This article understands, from an empirical perspective, the determinants of carbon emissions, using internationally comparable data, and cross-national regressions for India and China. Next, it explores the relationship between urban land use regulations and carbon emissions in India’s cities. Urbanization has no impact on carbon emissions per capita or per unit of geographical area. Electricity consumption in China and electricity produced from coal in India have a positive effect on carbon emissions. GDP per capita has a positive effect in India and not so in China, but per capita GDP squared has a negative impact on emissions in both the countries. Does this imply that urbanization should be ignored in the two countries? The answer is no, because a city’s urban form, to which policy contributes, is correlated with carbon emissions. More suburbanized cities which sprawl more also emit more carbon. India’s land use regulations relating to building height restrictions are conservative, hence Indian cities sprawl, which lead to carbon emissions. Hence, the focus of urban policy has to be on the development of compact cities. The article concludes with caveats of the data.


2020 ◽  
Vol 6 ◽  
pp. 9-16
Author(s):  
Seng-Huat Tan ◽  
Meenchee Hong

Climate change is considered as the most severe and urgent environmental issue in this present era. There is a clear consensus that the climate change problem is much related to the rising level of carbon emissions in the atmosphere. The link between economic growth, urbanization and carbon emissions was examined extensively in the literature. Fast-paced economic growth will advance urbanization in a country and result in higher energy consumption to meet various needs in an urban economy. This conditions will trigger more carbon emissions and generate more pollution problem. This paper aims to discuss and compare the growth pattern of economic growth, urbanization and carbon emissions between five selected ASEAN countries such as Indonesia, Malaysia, Philippines, Thailand and Vietnam for the period 1990-2018. All these five countries have recorded at least 4% economic growth rate in the year 2018. In the same period, Indonesia has the largest in term of total value added in manufacturing. Similarly, Vietnam has the largest growth of value-added in the same industry. Among all, Indonesia has the largest urban population whilst Malaysia has the highest rate in urbanization and carbon emissions per capita. The upward trend of urban population and carbon emissions per capita in these countries exhibit certain pressures and challenges to the countries’ environmental quality. Therefore, the government in these countries should pay attention to environmental governance to achieve sustainable urbanization while prioritizing economic growth


Author(s):  
Aminatou Kemajou Pofoura ◽  
Huaping Sun ◽  
Maxwell Opuni Antwi ◽  
Charles Kwarteng Antwi

This research seeks to investigate the risks of carbon lock-in by examining the potential factors influencing carbon dioxide emissions levels in Sub-Saharan Africa. Given this, we employed a panel Sub-Saharan Africa comprised of 35 countries in the sub-region, from 2000 to 2014 with cross-sectional dependence among variables. We used the Two-step robust System Generalized Method of Moments to estimate the influencing factors of carbon emissions level that create path dependency. The main findings are: (1) income per capita, urbanization, and financial resources contribute to the increase of carbon emissions level in the Sub-Saharan Africa countries, in the short-run; (2) we noticed that in the short-run, the impacts of fossil fuels per capita, energy intensity and total energy consumption are insignificant; (3) in the long-run, income per capita, urbanization and financial resources increase carbon emissions level; (4) from various factors that increase carbon emissions level, these factors form a path dependency that slow the introduction of low-carbon systems, thus, creating carbon lock-in in the Sub-Saharan Africa countries. Considering this, policymakers and governments should ensure the strict compliance of environmental regulations by financial institutions and organizations, promote low-carbon cities during economic transformation, and encourage investments in low-carbon projects. The government should also educate and build awareness on the effects of environmental pollution on population health, provide incentives for energy conservation and promote the use of clean products to avoid future risks of lock-in in the sub-region.


2017 ◽  
Author(s):  
Simon Höllering ◽  
Jan Wienhöfer ◽  
Jürgen Ihringer ◽  
Luis Samaniego ◽  
Erwin Zehe

Abstract. Diagnostics of hydrological models is pivotal for a better understanding of catchment functioning. The analysis of dominating parameters for the simulation of streamflow plays a key role for region specific model diagnostics, model calibration or parameter transfer. A major challenge in this analysis of parameter sensitivity is the assessment of both temporal and spatial differences of parameter influences on simulated streamflow response. A methodical approach is presented, wherein a two-tiered global sensitivity analysis on a spatially distributed hydrological model is applied to 14 mesoscale headwater catchments of the river Ruhr in western Germany. The analysis of parameter sensitivity is geared towards two complementary forms of streamflow response targets. The analysis of the temporal dynamics of parameter sensitivity (TEDPAS) is contrasted with sensitivity analysis directed to hydrological fingerprints, i.e. temporally independent and temporally aggregated characteristics of streamflow (INDPAS). The two-tiered approach allows to discern a clarified sensitivity pattern pinpointed to diverse response characteristics, to detect regional differences and to reveal the regional relevance of the response target. Small local differences in the hydroclimatic and topographic setting of the headwaters lead to slight differences in the hydrological functioning, which was revealed by gradual differences in TEDPAS and INDPAS.


2018 ◽  
Vol 29 (5) ◽  
pp. 784-801
Author(s):  
Levent Aydın

Although the idea of carbon tax was debated widely in the early 1970s, the first carbon taxes were imposed in some Northern European countries at the beginning of the 1990s. Since the Paris summit in 2015, there has been a growing interest in carbon tax that has begun to increase again. Although Turkey’s share of carbon emissions in terms of total global emissions is low, the rate of increase in emissions has increased in recent years and should be a cause for concern. Therefore, the aim of this paper is to analyze the possible effects of carbon taxes on Turkey’s economy by disaggregating the electricity sector a by using the computable general equilibrium model. Simulation results show that carbon taxation is a highly effective means to reduce carbon emissions. Despite all sectors being adversely affected, some low emission energy, textile, and other service sectors benefit from carbon pricing. The results also indicate macroeconomic costs of imposing a carbon tax at $7 per ton of carbon in terms of the decrease in GDP by 0.061% and associated with per capita utility of the representative household by 0.09% in scenario a. Imposition of successively higher carbon taxes in scenario b and scenario c results in 5.75, 12.02, and 16.95% reduction in carbon emissions at decreasing rate, respectively. However, these reductions are also accompanied by a decrease in real GDP and per capita utility from household expenditure, as macroeconomic costs, in scenarios a, b, and c at increasing rates.


2014 ◽  
Vol 2014 ◽  
pp. 1-7
Author(s):  
Kevin Lo

This paper identifies three types of model environmental cities in China and examines their levels of energy-related carbon emissions using a bottom-up accounting system. Model environmental cities are identified as those that have been recently awarded official recognition from the central government for their efforts in environmental protection. The findings show that, on average, the Low-Carbon Cities have lower annual carbon emissions, carbon intensities, and per capita emissions than the Eco-Garden Cities and the Environmental Protection Cities. Compared internationally, the Eco-Garden Cities and the Environmental Protection Cities have per capita emissions that are similar to those of American cities whereas per capita emissions from the Low-Carbon Cities are similar to those of European cities. The result indicates that addressing climate change is not a priority for some model environmental cities. Policy changes are needed to prioritize climate mitigation in these cities, considering that climate change is a cross-cutting environmental issue with wide-ranging impact.


2020 ◽  
pp. 713-727
Author(s):  
Xiaohui Wang, Xin Zhang

The study on the relationship between investment in environmental governance, carbon emission and economic growth is helpful for the relevant government departments to coordinate the influence among them when formulating the policies of reducing emission and conserving energy, so as to take the comparative advantages of various factors and promote the benign interaction between economic development and environmental governance. In this paper, the data of Per capita GDP, per capita investment in environmental governance and per capita CARBON dioxide emissions in China from 2000 to 2019 are selected as the research basis, and variables are studied by means of Granger causality and impulse response function. As shown in the results, there is a single Granger relationship between investment in environmental governance and carbon emissions, that is, the increase of investment in environmental governance leads to the reduction of carbon emissions. The influence of economic growth on environmental governance investment is small, but in the long term, it can restrain the growth of carbon emissions. Investment in environmental governance can promote economic growth and stimulate a reduction in the emissions in the short term; Economic growth was hindered by the emissions in the long term and fail to stimulate increased investment in environmental governance. Based on these findings, this paper proposes policy Suggestions for optimizing the structure of environmental governance investment, improving the carbon emission monitoring and response mechanism, and strengthening the technological level of energy conservation and emission reduction.


2017 ◽  
Vol 4 (5) ◽  
pp. 403-412 ◽  
Author(s):  
Kyle W. Knight ◽  
Juliet B. Schor ◽  
Andrew K. Jorgenson

This study contributes to the emerging literature on connections between climate change and economic inequality by investigating the relationship between domestic wealth inequality and consumption-based carbon emissions for 26 high-income countries from 2000 to 2010. Results of the two-way fixed effects longitudinal models indicate that the effect of wealth inequality, measured as the wealth share of the top decile, on per capita emissions in high-income countries is consistently positive and relatively stable over the time period. This finding is consistent with political economy theories arguing that the concentration of political and economic power that accompanies the concentration of wealth plays an important role in increasing environmental degradation and preventing proenvironmental actions.


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