Examining Economic and Environmental Impacts of Differentiated Pricing on the Energy-Intensive Industries in China: Input-Output Approach

2011 ◽  
Vol 137 (3) ◽  
pp. 130-137 ◽  
Author(s):  
Zhongfu Tan ◽  
Li Li ◽  
Jianhui Wang ◽  
Yihsu Chen
Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 3214 ◽  
Author(s):  
Ye Ma ◽  
Biying Yu ◽  
Meimei Xue

Ridesharing is becoming popular in many cities in China where transportation alternatives are easily accessible. Individuals typically access services by smartphone app developed by ridesharing company to join a trip offered by other private vehicle’s drivers who share same or geographically close destination. However, there are some internal differences within this region indicating the service heterogeneity of ridesharing. In order to discover this regional heterogeneity, this paper chooses Beijing–Tianjin–Hebei (BTH) region as research target and uses BTH regional ridesharing data provided by DiDi Chuxing Company. Then, this paper conducts an in-depth study by summarizing the travel pattern characteristics and evaluating the environmental impacts that result from individuals participating in ridesharing services. Lifecycle analysis of fuel and environmental input–output are applied to estimate the direct and indirect environmental impact separately. The results reveal heterogeneous spatial heterogeneous of ridesharing, including travel pattern and environmental influence caused by service demand and supply, which results from the unbalance of regional development and infrastructure construction condition of the transportation system, and other travel behavior differences.


2021 ◽  
Vol 13 (2) ◽  
pp. 604
Author(s):  
Yalan Shi ◽  
Miaojing Yu

Tourism, as one economic activity, results in a full range of environmental impacts globally as well as in China. However, the evaluation of environmental impacts is insufficient because of the strong correlation effect between tourism and other industries. This study attempted to assess the environmental impact and cost of the tourism-induced pollutant emissions (in a broad sense) at the national scale through constructing the environmental-economic input-output model. Our results suggested that the China’s total emission of CO2, NOx, SOx related to tourism industry increased from 42 × 106 t, 162 kt, 345 kt in 1995 to 157 × 106 t, 527 kt, 854 kt in 2009. The indirect CO2, NOx, and SOx emissions of tourism and related industries were nearly 6.8–11 times of their direct emission in travel agency. Most of these indirect emissions (73% of CO2 in 2009, 54% of NOx in 1995, 62% of SOx in 2009) are derived from the energy plants and industrial sectors. The sustainable tourism should largely depend on the realization of sustainable mobility and transportation, through the low-emission behavior and energy-saving technology. The emission reduction cost of tourism industry in China was 30,170 and 172,812 million CNY in 1995 and 2009, accounting for nearly 14% of the total tourism revenue.


2019 ◽  
Vol 11 (13) ◽  
pp. 3622 ◽  
Author(s):  
Wenbin Shao ◽  
Fangyi Li ◽  
Zhaoyang Ye ◽  
Zhipeng Tang ◽  
Wu Xie ◽  
...  

International and inter-regional trade in China has been promoted, the economic and environmental impacts of which are significant in regional development. In this paper, we analyzed the evolution of inter-regional spillover of carbon emissions and employment in China from 2007 to 2012 with structural decomposition method and multi-regional input-output tables. The index of carbon emission per employee (ICE) is designed and compared to indicate positive or negative spillover effects. We find that carbon emissions grow much more rapidly in interior regions than in coastal regions, due to spillover effects and own influences. Spillover effects rarely reduce the ICE of destination regions, but the own influences can decrease it in most regions. Although spillover may contribute to economic development in most regions, it is hardly a driver of efficiency improvement in destination regions. Based on these empirical findings, we put forward specific suggestions to improve the positive spillover effects on different kinds of regions.


Author(s):  
Sayaka Ita ◽  
Koji Takase ◽  
Yasushi Kondo ◽  
Ayu Washizu

2019 ◽  
Vol 25 (12) ◽  
pp. 2432-2450 ◽  
Author(s):  
Antoine Beylot ◽  
Sara Corrado ◽  
Serenella Sala

Abstract Purpose Trade is increasingly considered a significant contributor to environmental impacts. The assessment of the impacts of trade is usually performed via environmentally extended input–output analysis (EEIOA). However, process-based life cycle assessment (LCA) applied to traded goods allows increasing the granularity of the analysis and may be essential to unveil specific impacts due to traded products. Methods This study assesses the environmental impacts of the European trade, considering two modelling approaches: respectively EEIOA, using EXIOBASE 3 as supporting database, and process-based LCA. The interpretation of the results is pivotal to improve the robustness of the assessment and the identification of hotspots. The hotspot identification focuses on temporal trends and on the contribution of products and substances to the overall impacts. The inventories of elementary flows associated with EU trade, for the period 2000–2010, have been characterized considering 14 impact categories according to the Environmental Footprint (EF2017) Life Cycle Impact Assessment method. Results and discussion The two modelling approaches converge in highlighting that in the period 2000–2010: (i) EU was a net importer of environmental impacts; (ii) impacts of EU trade and EU trade balance (impacts of imports minus impacts of exports) were increasing over time, regarding most impact categories under study; and (iii) similar manufactured products were the main contributors to the impacts of exports from EU, regarding most impact categories. However, some results are discrepant: (i) larger impacts are obtained from IO analysis than from process-based LCA, regarding most impact categories, (ii) a different set of most contributing products is identified by the two approaches in the case of imports, and (iii) large differences in the contributions of substances are observed regarding resource use, toxicity, and ecotoxicity indicators. Conclusions The interpretation step is crucial to unveil the main hotspots, encompassing a comparison of the differences between the two methodologies, the assumptions, the data coverage and sources, the completeness of inventory as basis for impact assessment. The main driver for the observed divergences is identified to be the differences in the impact intensities of goods, both induced by inherent properties of the IO and life cycle inventory databases and by some of this study’s modelling choices. The combination of IO analysis and process-based LCA in a hybrid framework, as performed in other studies but generally not at the macro-scale of the full trade of a country or region, appears a potential important perspective to refine such an assessment in the future.


2016 ◽  
Vol 117 ◽  
pp. 98-109 ◽  
Author(s):  
Rong Yuan ◽  
Tao Zhao

2016 ◽  
Vol 171 ◽  
pp. 456-467 ◽  
Author(s):  
Junna Yan ◽  
Tao Zhao ◽  
Jidong Kang

Author(s):  
Ayu Washizu ◽  
Satoshi Nakano

Abstract To analyze the ripple effects of CO2 emissions from the introduction of renewable energy power plants, this study developed input–output tables for analysis of next-generation energy systems (IONGES). The results revealed that the environmental benefits obtained from investing in power plants of the same capacity vary significantly depending on the type of renewable energy. Using the IONGES, under assumptions of three carbon taxation methods (upstream, midstream, and downstream), we calculated the taxable CO2 emissions induced when producing each good or service and estimated the carbon tax burden associated with the final demand. We found that, in the upstream method, the taxation effects of one unit of carbon tax is concentrated in energy goods such as coal products and petroleum basic, while the effects are relatively dispersed in the downstream taxation method. If renewable energy is added to the government target level in 2030, taxable CO2 emissions will decrease by 12–13.3%. Compared with the upstream taxation method, in the midstream and downstream methods, the CO2 emissions induced by each final demand are distributed more evenly across various goods and services. Compared to the downstream taxation method, upstream taxation leads to higher CO2 emissions from exports, but lower CO2 emissions from household consumption. This is because energy-intensive industries such as machinery have high export ratios. We analyzed which expenditure categories contribute to the carbon tax burden associated with household consumption. In the case of upstream taxation, households mainly focus on reducing electricity consumption; in the case of downstream taxation, households reduce consumption of various energy-intensive goods and services.


Foods ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 1664
Author(s):  
Juan Sebastián Castillo-Valero ◽  
Inmaculada Carrasco ◽  
Marcos Carchano ◽  
Carmen Córcoles

The continuous growth of the international wine trade and the expansion of international markets is having significant commercial, but also environmental, impacts. The benefits of vineyards in terms of ecosystem service provision are offset by the increase in CO2 emissions generated by transportation. Denominations of Origin, as quality labels, emphasise a wine’s links to the terroir, where specific elements of culture and environment merge together. However, Denominations of Origin can also have differentiating elements as regards environmental performance. Drawing on an extended multiregional input–output model applied to the Spanish Denominations of Origin with the largest presence in the international wine trade, this study shows that wines with the greatest exporting tradition are those that most reduced their carbon footprint per litre of exported wine in the period 2005–2018, thus being the most environmentally efficient.


2010 ◽  
Vol 44 (11) ◽  
pp. 4309-4314 ◽  
Author(s):  
Tuomas J. Mattila ◽  
Suvi Pakarinen ◽  
Laura Sokka

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