Pub Date : 2022-01-02DOI: 10.1080/17583004.2022.2068454
Kumar Biswajit Debnath, M. Mourshed
Abstract Bangladesh—recently graduated to developing nation category from a least developed country with an emerging economy also is one of the severely affected countries by climate change—is heading towards a coal-intensive electricity generation mix contrary to global decarbonisation efforts. It is facing formidable challenges in achieving universal access to affordable, reliable, and sustainable electricity, decarbonising the energy mix by 2030 to achieve the objective of Sustainable Development Goal (SDG) 7, despite a 285% increase of installed capacity between 2008–09 and 2020–21 and aiming at achieving 40 GW and 60 GW by 2030 and 2041 with planned expansions, respectively. This study reviewed Bangladesh’s electricity sector developments—demand, generation, transmission, and distribution (T&D)—to identify progress in policies, drivers, and challenges behind the Greenhouse gas (GHG) emissions-intensive future direction. The rapid population and economic growth and shift towards industry-based economy drove the exponential growth in energy demand, eventually influencing the rapid generation capacity and T&D infrastructure development. However, Bangladesh has targeted transitioning from natural gas to coal dominating fuel mix due to the lower renewable potential, energy, and food security challenges, because of the anticipated substantial future electricity demand for becoming an Upper Middle and a High-income country by 2031 and 2041, respectively. We also recommended nuclear energy, (renewable) electricity import and floating solar plants to decarbonise the current trajectory.
{"title":"Why is Bangladesh’s electricity generation heading towards a GHG emissions-intensive future?","authors":"Kumar Biswajit Debnath, M. Mourshed","doi":"10.1080/17583004.2022.2068454","DOIUrl":"https://doi.org/10.1080/17583004.2022.2068454","url":null,"abstract":"Abstract Bangladesh—recently graduated to developing nation category from a least developed country with an emerging economy also is one of the severely affected countries by climate change—is heading towards a coal-intensive electricity generation mix contrary to global decarbonisation efforts. It is facing formidable challenges in achieving universal access to affordable, reliable, and sustainable electricity, decarbonising the energy mix by 2030 to achieve the objective of Sustainable Development Goal (SDG) 7, despite a 285% increase of installed capacity between 2008–09 and 2020–21 and aiming at achieving 40 GW and 60 GW by 2030 and 2041 with planned expansions, respectively. This study reviewed Bangladesh’s electricity sector developments—demand, generation, transmission, and distribution (T&D)—to identify progress in policies, drivers, and challenges behind the Greenhouse gas (GHG) emissions-intensive future direction. The rapid population and economic growth and shift towards industry-based economy drove the exponential growth in energy demand, eventually influencing the rapid generation capacity and T&D infrastructure development. However, Bangladesh has targeted transitioning from natural gas to coal dominating fuel mix due to the lower renewable potential, energy, and food security challenges, because of the anticipated substantial future electricity demand for becoming an Upper Middle and a High-income country by 2031 and 2041, respectively. We also recommended nuclear energy, (renewable) electricity import and floating solar plants to decarbonise the current trajectory.","PeriodicalId":48941,"journal":{"name":"Carbon Management","volume":"13 1","pages":"216 - 237"},"PeriodicalIF":3.1,"publicationDate":"2022-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43589856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-02DOI: 10.1080/17583004.2022.2043446
Yuangang Wang, C. Li, Friday Uchenna Ochege, Q. Han, O. Hellwich, Shixin Wu, G. Luo
Abstract There has been an increasing number of studies on the potential effects of land-use change on the carbon (C) balance. However, few of these studies have focused on arid regions. Cropland in Xinjiang, a typical arid region in China, has expanded dramatically over the last 40 years. This study applied the Carbon Bookkeeping Model to estimate the changes in C stocks resulting from cropland expansion in Xinjiang from 1975 to 2015. The results showed that the area of cropland increased by a factor of ∼1.6. This increase was driven by advancements in agricultural technology and favorable agricultural policies. The increase in cropland area of 2.03 Mha (M = 106) was the result of the clearing of ∼4.09 Mha land for cropland and the conversion of 2.06 Mha cropland to other land cover types. The expansion in cropland resulted in substantial sequestration of C, with that in Xinjiang amounting to 94.24 Tg C (1Tg = 1012g), accounting for 1.4% of the regional C stocks. Land clearing for cropland (LCC) had the greatest contribution to C sequestration in Xinjiang. The rate of increase in C density through LCC was 0.61 Mg C ha−1a−1 and 1.54 Mg C ha−1a−1 from 1975 to 2004 and 2005 to 2015, respectively. C sequestration due to cropland loss (CLO) of 29.40 Tg C was attributed to the expansion of built-up land and afforestation. Sustainable agricultural activities represented by large-scale clearing for cropland were a major C sink in Xinjiang. Therefore, sustainable management of cropland is essential for maintaining a high C density and preventing loss of C to the atmosphere through cropland abandonment in the future.
土地利用变化对碳(C)平衡潜在影响的研究越来越多。然而，这些研究很少集中在干旱地区。新疆是中国典型的干旱地区，在过去的40年里，新疆的耕地面积急剧扩大。本文应用碳记账模型对1975 - 2015年新疆耕地扩张导致的碳储量变化进行了估算。结果表明，耕地面积增加了约1.6倍。这一增长是由农业技术进步和有利的农业政策推动的。耕地面积增加2.03 Mha (M = 106)的原因是将约4.09 Mha的耕地转为耕地，并将2.06 Mha的耕地转为其他土地覆盖类型。耕地面积的扩大导致碳的大量固存，新疆地区碳固存量达94.24 Tg C (1Tg = 1012g)，占区域碳储量的1.4%。退耕还田(LCC)对碳汇的贡献最大。1975 - 2004年和2005 - 2015年，LCC对C密度的贡献率分别为0.61 Mg C ha - 1a−1和1.54 Mg C ha - 1a−1。由于耕地损失(CLO)造成的29.40 Tg C的碳固存归因于建设用地和造林的扩大。以大规模耕地清理为代表的可持续农业活动是新疆主要的碳汇。因此，农田的可持续管理对于保持较高的碳密度和防止未来因农田废弃而导致的碳向大气的损失至关重要。
{"title":"Contribution of cropland expansion to regional carbon stocks in an arid area of China: a case study in Xinjiang","authors":"Yuangang Wang, C. Li, Friday Uchenna Ochege, Q. Han, O. Hellwich, Shixin Wu, G. Luo","doi":"10.1080/17583004.2022.2043446","DOIUrl":"https://doi.org/10.1080/17583004.2022.2043446","url":null,"abstract":"Abstract There has been an increasing number of studies on the potential effects of land-use change on the carbon (C) balance. However, few of these studies have focused on arid regions. Cropland in Xinjiang, a typical arid region in China, has expanded dramatically over the last 40 years. This study applied the Carbon Bookkeeping Model to estimate the changes in C stocks resulting from cropland expansion in Xinjiang from 1975 to 2015. The results showed that the area of cropland increased by a factor of ∼1.6. This increase was driven by advancements in agricultural technology and favorable agricultural policies. The increase in cropland area of 2.03 Mha (M = 106) was the result of the clearing of ∼4.09 Mha land for cropland and the conversion of 2.06 Mha cropland to other land cover types. The expansion in cropland resulted in substantial sequestration of C, with that in Xinjiang amounting to 94.24 Tg C (1Tg = 1012g), accounting for 1.4% of the regional C stocks. Land clearing for cropland (LCC) had the greatest contribution to C sequestration in Xinjiang. The rate of increase in C density through LCC was 0.61 Mg C ha−1a−1 and 1.54 Mg C ha−1a−1 from 1975 to 2004 and 2005 to 2015, respectively. C sequestration due to cropland loss (CLO) of 29.40 Tg C was attributed to the expansion of built-up land and afforestation. Sustainable agricultural activities represented by large-scale clearing for cropland were a major C sink in Xinjiang. Therefore, sustainable management of cropland is essential for maintaining a high C density and preventing loss of C to the atmosphere through cropland abandonment in the future.","PeriodicalId":48941,"journal":{"name":"Carbon Management","volume":"13 1","pages":"42 - 54"},"PeriodicalIF":3.1,"publicationDate":"2022-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44108415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-02DOI: 10.1080/17583004.2022.2039301
E. Balcha, H. T. Menghistu, A. Zenebe, Birhanu Hadush
Abstract In Ethiopia, there is an urge to enhance milk production where urban and peri-urban farms play important role. Therefore, the role of such production system in Greenhouse gas (GHG) emissions should be known. This study was conducted with the objective of estimating the carbon footprint (CF) of milk within Mekelle milkshed, Ethiopia. 50 urban and 42 peri-urban dairy farms were selected randomly and both primary and secondary data was collected. Lifecycle Assessment (LCA) approach was employed to quantify GHG emissions using cradle to- farm gate approach. The mean GHG emissions per cattle unit (000 kg CO2-e y-1) were 2.84 ± 1.23 and 3.19 ± 1.99 for peri-urban and urban farms, respectively. The share of enteric fermentation was 75.5% and 73.6% for peri-urban and urban farms, respectively. Milk contributed for 88.5% and 90.8% to the economic value of peri-urban and urban farms, respectively. Overall, the CF of milk production in urban and peri-urban farms was 2.2 kg CO2-e/kg and 3.2 kg CO2-e/kg without economic allocation, and 2.0 kg CO2-e/kg and 2.8 kg CO2-e/kg with economic allocation. In order to reduce GHG emission intensity from dairy farms it is important to adopt climate smart dairy practices.
在埃塞俄比亚，迫切需要提高牛奶产量，其中城市和城郊农场发挥着重要作用。因此，应该了解这种生产系统在温室气体(GHG)排放中的作用。本研究以埃塞俄比亚Mekelle牛奶棚为研究对象，随机选取50个城市和42个城郊奶牛场，收集了主要和次要数据。采用生命周期评估(LCA)方法对温室气体排放量进行量化，采用从摇篮到农场大门的方法。城郊和城市农场单位牛平均温室气体排放量(000 kg CO2-e -1)分别为2.84±1.23和3.19±1.99。城郊和城郊农场肠道发酵比例分别为75.5%和73.6%。牛奶对城郊农场和城市农场经济价值的贡献率分别为88.5%和90.8%。总体而言，城市和城郊农场在不进行经济配置的情况下的产奶量CF分别为2.2 kg CO2-e/kg和3.2 kg CO2-e/kg，在进行经济配置的情况下分别为2.0 kg CO2-e/kg和2.8 kg CO2-e/kg。为了减少奶牛场的温室气体排放强度，采用气候智能型奶牛场实践非常重要。
{"title":"Carbon footprint of cows’ milk: a case study of peri-urban and urban dairy farms within Mekelle milk-shed, Ethiopia","authors":"E. Balcha, H. T. Menghistu, A. Zenebe, Birhanu Hadush","doi":"10.1080/17583004.2022.2039301","DOIUrl":"https://doi.org/10.1080/17583004.2022.2039301","url":null,"abstract":"Abstract In Ethiopia, there is an urge to enhance milk production where urban and peri-urban farms play important role. Therefore, the role of such production system in Greenhouse gas (GHG) emissions should be known. This study was conducted with the objective of estimating the carbon footprint (CF) of milk within Mekelle milkshed, Ethiopia. 50 urban and 42 peri-urban dairy farms were selected randomly and both primary and secondary data was collected. Lifecycle Assessment (LCA) approach was employed to quantify GHG emissions using cradle to- farm gate approach. The mean GHG emissions per cattle unit (000 kg CO2-e y-1) were 2.84 ± 1.23 and 3.19 ± 1.99 for peri-urban and urban farms, respectively. The share of enteric fermentation was 75.5% and 73.6% for peri-urban and urban farms, respectively. Milk contributed for 88.5% and 90.8% to the economic value of peri-urban and urban farms, respectively. Overall, the CF of milk production in urban and peri-urban farms was 2.2 kg CO2-e/kg and 3.2 kg CO2-e/kg without economic allocation, and 2.0 kg CO2-e/kg and 2.8 kg CO2-e/kg with economic allocation. In order to reduce GHG emission intensity from dairy farms it is important to adopt climate smart dairy practices.","PeriodicalId":48941,"journal":{"name":"Carbon Management","volume":"13 1","pages":"55 - 68"},"PeriodicalIF":3.1,"publicationDate":"2022-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45272235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-02DOI: 10.1080/17583004.2022.2067456
T. Pulles, M. Gillenwater, K. Radunsky
Abstract Many Parties to the United Nations Framework Convention on Climate Change (UNFCCC) are envisaging the use of significant amounts of biomass as a primary source in their energy supply. The present greenhouse gas (GHG) emission inventory guidelines, based on methods and approaches originally proposed by the IPCC in the 1990s do not add the CO2 emissions from the combustion or incineration of these biogenic fuels to national total emissions, as it is assumed these emissions reverse recent CO2 removals from the atmosphere during photosynthetic growth of the biomass, largely within the Party’s own boundaries. In a national annual inventory under the UNFCCC, the biomass carbon harvested in a specific year is balanced against the biomass carbon oxidation processes addressed in the energy and waste sectors of GHG inventories. The CO2 emissions from biomass oxidation in the present Intergovernmental Panel on Climate Change (IPPC) inventory approach are accounted for by the country harvesting the biomass via the subtraction of the harvested biomass from C pools on their lands. This harvested biomass carbon is implicitly assumed to be oxidized both in the year and the country of harvest, regardless of whether this is factual. In the case of biomass exports, the CO2 emissions from the combustion/oxidation of this harvested biomass are not included in the national totals of the country where the biomass is used, as under the present approach this would lead to double counting on the global scale. With the increasing use of biomass on industrial scales, the assumptions underlying this approach start to introduce material inaccuracies on a national scale (versus global). Biomass combustion may no longer be negligible compared with fossil fuel combustion as biogenic fuels are increasingly traded internationally. In this paper, we review the present IPCC carbon mass flow approach and propose a change in the reporting and accounting methods that has the potential to address this national GHG emissions reporting issue.
{"title":"CO2 emissions from biomass combustion Accounting of CO2 emissions from biomass under the UNFCCC","authors":"T. Pulles, M. Gillenwater, K. Radunsky","doi":"10.1080/17583004.2022.2067456","DOIUrl":"https://doi.org/10.1080/17583004.2022.2067456","url":null,"abstract":"Abstract Many Parties to the United Nations Framework Convention on Climate Change (UNFCCC) are envisaging the use of significant amounts of biomass as a primary source in their energy supply. The present greenhouse gas (GHG) emission inventory guidelines, based on methods and approaches originally proposed by the IPCC in the 1990s do not add the CO2 emissions from the combustion or incineration of these biogenic fuels to national total emissions, as it is assumed these emissions reverse recent CO2 removals from the atmosphere during photosynthetic growth of the biomass, largely within the Party’s own boundaries. In a national annual inventory under the UNFCCC, the biomass carbon harvested in a specific year is balanced against the biomass carbon oxidation processes addressed in the energy and waste sectors of GHG inventories. The CO2 emissions from biomass oxidation in the present Intergovernmental Panel on Climate Change (IPPC) inventory approach are accounted for by the country harvesting the biomass via the subtraction of the harvested biomass from C pools on their lands. This harvested biomass carbon is implicitly assumed to be oxidized both in the year and the country of harvest, regardless of whether this is factual. In the case of biomass exports, the CO2 emissions from the combustion/oxidation of this harvested biomass are not included in the national totals of the country where the biomass is used, as under the present approach this would lead to double counting on the global scale. With the increasing use of biomass on industrial scales, the assumptions underlying this approach start to introduce material inaccuracies on a national scale (versus global). Biomass combustion may no longer be negligible compared with fossil fuel combustion as biogenic fuels are increasingly traded internationally. In this paper, we review the present IPCC carbon mass flow approach and propose a change in the reporting and accounting methods that has the potential to address this national GHG emissions reporting issue.","PeriodicalId":48941,"journal":{"name":"Carbon Management","volume":"13 1","pages":"181 - 189"},"PeriodicalIF":3.1,"publicationDate":"2022-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46906943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-02DOI: 10.1080/17583004.2022.2036243
Carolina Rojas, François Simon, I. Muñiz, Marc Quintana, Felipe Irarrázaval, C. Stamm, Benedita Santos
Abstract The coronavirus disease 2019 (COVID-19) pandemic has strongly affected economies and human lifestyles globally. The changes observed in domestic energy consumption patterns have had an impact on household greenhouse gas (GHG) emissions. Since GHG emissions inventories are only available at the country level and at annual intervals, most studies have calculated the local emission variations by extrapolating annual emissions with smaller time and territorial scale consumption data. This research presents a bottom-up method, based on the exploitation of a survey addressed to 1200 households, that provides the information to calculate directly the variation in their energy-related GHG emissions, without the need for extrapolations. This method has been applied to four medium-sized Chilean cities with serious air quality problems. Given the high correlation between atmospheric pollutants such as NOx and CO2 emissions, we estimate that before the appearance of COVID-19, per capita CO2 emissions were already high. The results show that space heating-related GHG emissions have increased moderately (between 1 and 6%), while emissions from electricity and gas consumption for non-heating uses have increased significantly (between 8 and 23%). This has harmed the household economy, highlighting the importance of considering socioeconomic aspects when assessing the impact of COVID-19 in its entirety.
{"title":"Trends in household energy-related GHG emissions during COVID-19 in four Chilean cities","authors":"Carolina Rojas, François Simon, I. Muñiz, Marc Quintana, Felipe Irarrázaval, C. Stamm, Benedita Santos","doi":"10.1080/17583004.2022.2036243","DOIUrl":"https://doi.org/10.1080/17583004.2022.2036243","url":null,"abstract":"Abstract The coronavirus disease 2019 (COVID-19) pandemic has strongly affected economies and human lifestyles globally. The changes observed in domestic energy consumption patterns have had an impact on household greenhouse gas (GHG) emissions. Since GHG emissions inventories are only available at the country level and at annual intervals, most studies have calculated the local emission variations by extrapolating annual emissions with smaller time and territorial scale consumption data. This research presents a bottom-up method, based on the exploitation of a survey addressed to 1200 households, that provides the information to calculate directly the variation in their energy-related GHG emissions, without the need for extrapolations. This method has been applied to four medium-sized Chilean cities with serious air quality problems. Given the high correlation between atmospheric pollutants such as NOx and CO2 emissions, we estimate that before the appearance of COVID-19, per capita CO2 emissions were already high. The results show that space heating-related GHG emissions have increased moderately (between 1 and 6%), while emissions from electricity and gas consumption for non-heating uses have increased significantly (between 8 and 23%). This has harmed the household economy, highlighting the importance of considering socioeconomic aspects when assessing the impact of COVID-19 in its entirety.","PeriodicalId":48941,"journal":{"name":"Carbon Management","volume":"13 1","pages":"1 - 16"},"PeriodicalIF":3.1,"publicationDate":"2022-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47247413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-02DOI: 10.1080/17583004.2022.2042394
Tita Rosita, Rachmawati Dwi Estuningsih, Dewi Pujo Ningsih, Zaekhan, N. Nachrowi
Abstract This study investigates ways to effectively reduce carbon dioxide (CO2) emissions in Indonesia’s manufacturing industry, by firm characteristics. It is important to determine the firm characters that have the greatest potential to decrease CO2 emissions. The Logarithmic Mean Divisia Index (LMDI) method is used to decompose CO2 emissions into the key factors influencing changes in CO2 emissions, such as economic activity, industrial structure, energy intensity, energy structure, and emissions coefficient during the 2010–2018 period. The findings indicate that changes in CO2 emissions in industrial sub-sectors vary. High technology firms had the lowest average emissions compared to firms with other technology. Large-sized firms had the lowest emissions than small and medium firms. Foreign private firms had lower emissions than national private firms did. Firms in the Java–Bali location had, on average, highest emissions than those outside Java–Bali. Exporting firms had lower average emissions intensity compared to non-exporting firms. This study’s novelty is an analysis of the effect of components that affect changes in CO2 emissions in firm groups based on their characteristics so that policymakers can focus on the potential reduction in CO2 emissions in certain groups of firms, namely firms that use the most energy intensively, is inefficient, and uses low-quality energy. Comparative analysis using firm characteristics reveals that energy-intensive firms’ economic growth determines changes in CO2 emissions in Indonesia’s manufacturing industry.
{"title":"Exploring the mitigation potential for carbon dioxide emissions in Indonesia’s manufacturing industry: an analysis of firm characteristics","authors":"Tita Rosita, Rachmawati Dwi Estuningsih, Dewi Pujo Ningsih, Zaekhan, N. Nachrowi","doi":"10.1080/17583004.2022.2042394","DOIUrl":"https://doi.org/10.1080/17583004.2022.2042394","url":null,"abstract":"Abstract This study investigates ways to effectively reduce carbon dioxide (CO2) emissions in Indonesia’s manufacturing industry, by firm characteristics. It is important to determine the firm characters that have the greatest potential to decrease CO2 emissions. The Logarithmic Mean Divisia Index (LMDI) method is used to decompose CO2 emissions into the key factors influencing changes in CO2 emissions, such as economic activity, industrial structure, energy intensity, energy structure, and emissions coefficient during the 2010–2018 period. The findings indicate that changes in CO2 emissions in industrial sub-sectors vary. High technology firms had the lowest average emissions compared to firms with other technology. Large-sized firms had the lowest emissions than small and medium firms. Foreign private firms had lower emissions than national private firms did. Firms in the Java–Bali location had, on average, highest emissions than those outside Java–Bali. Exporting firms had lower average emissions intensity compared to non-exporting firms. This study’s novelty is an analysis of the effect of components that affect changes in CO2 emissions in firm groups based on their characteristics so that policymakers can focus on the potential reduction in CO2 emissions in certain groups of firms, namely firms that use the most energy intensively, is inefficient, and uses low-quality energy. Comparative analysis using firm characteristics reveals that energy-intensive firms’ economic growth determines changes in CO2 emissions in Indonesia’s manufacturing industry.","PeriodicalId":48941,"journal":{"name":"Carbon Management","volume":"13 1","pages":"17 - 41"},"PeriodicalIF":3.1,"publicationDate":"2022-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43158465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-02DOI: 10.1080/17583004.2022.2117648
Guizhen Liu, Bofeng Cai, Qi Li, Xian Zhang, Tao Ouyang
Abstract Carbon dioxide (CO2) Capture, Utilization and Storage (CCUS) is an indispensable part of the carbon removal technologies to achieve carbon neutrality for China. Our study focuses on China’s CCUS pathways, and draws out three key conclusions: (1) in terms of the greenhouse gases emission reductions required to achieve carbon neutrality and based on current technology projections, the CO2 emission reductions to be achieved by CCUS are 0.6 ∼ 1.4 billion tonnes and 1 ∼ 1.8 billion tonnes in 2050 and 2060, respectively; (2) from the perspective of source-sink matching in China, the emission reduction potential provided by CCUS can basically meet the demand of carbon neutrality target (0.6 ∼ 2.1 billion tonnes of CO2); (3) with the development of technologies, the cost of CCUS in China has a great potential to be reduced in the future. It is expected that by 2030, the technical cost of the whole CCUS process (according to 250 kilometers transportation) in China will be 310 ∼ 770 Chinese Yuan per tonne of CO2, and by 2060, it will gradually drop to 140 ∼ 410 Chinese Yuan per tonne of CO2.
{"title":"China’s pathways of CO2 capture, utilization and storage under carbon neutrality vision 2060","authors":"Guizhen Liu, Bofeng Cai, Qi Li, Xian Zhang, Tao Ouyang","doi":"10.1080/17583004.2022.2117648","DOIUrl":"https://doi.org/10.1080/17583004.2022.2117648","url":null,"abstract":"Abstract Carbon dioxide (CO2) Capture, Utilization and Storage (CCUS) is an indispensable part of the carbon removal technologies to achieve carbon neutrality for China. Our study focuses on China’s CCUS pathways, and draws out three key conclusions: (1) in terms of the greenhouse gases emission reductions required to achieve carbon neutrality and based on current technology projections, the CO2 emission reductions to be achieved by CCUS are 0.6 ∼ 1.4 billion tonnes and 1 ∼ 1.8 billion tonnes in 2050 and 2060, respectively; (2) from the perspective of source-sink matching in China, the emission reduction potential provided by CCUS can basically meet the demand of carbon neutrality target (0.6 ∼ 2.1 billion tonnes of CO2); (3) with the development of technologies, the cost of CCUS in China has a great potential to be reduced in the future. It is expected that by 2030, the technical cost of the whole CCUS process (according to 250 kilometers transportation) in China will be 310 ∼ 770 Chinese Yuan per tonne of CO2, and by 2060, it will gradually drop to 140 ∼ 410 Chinese Yuan per tonne of CO2.","PeriodicalId":48941,"journal":{"name":"Carbon Management","volume":"13 1","pages":"435 - 449"},"PeriodicalIF":3.1,"publicationDate":"2022-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41352600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-02DOI: 10.1080/17583004.2022.2100830
Xiying Luo, Ruimin Zhang, Jingjing Wang
Abstract Based on a sample of Chinese publicly listed firms in eight high energy-consuming industries from 2015 to 2019, this study investigates the relationship between the intensity of product market competition and carbon disclosure and explores the moderating effect of earnings pressure and environmental legitimacy pressure on this relationship. Using content analysis to construct an integrated measure of corporate carbon disclosure, we find that the intensity of product market competition is negatively associated with carbon disclosure. The negative relationship between the intensity of product market competition and carbon disclosure is more pronounced among firms facing fewer earnings pressures and greater environmental legitimacy pressures. The additional tests also show that the effect of product market competition on carbon disclosure is more pronounced among state-owned firms and large firms. Our results are robust to various robustness tests. This study extends the literature on carbon disclosure and has important implications for different stakeholders to promote corporate climate-related disclosure in China.
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Pub Date : 2022-01-02DOI: 10.1080/17583004.2022.2068453
R. Saha, A. Paswan, S. Mazumdar, D. Barman, B. Majumdar, M. Behera, A. Saha
Abstract The changes in soil quality in terms of carbon accumulation, aggregate stability and enzyme activity were evaluated in Jute based cropping systems (jute-rice-wheat, jute-rice-lentil and jute-rice-mustard) subjected to various tillage systems, i.e. conventional tillage (CT), no tillage (NT) and no tillage with additional crop residue retention (NTR) under tropical climate of Indo-Gangetic plains. The crops were grown with conventional (disc plowing, followed by 2 cultivators) and no tillage (no ploughing) and additional crop residues were applied as Sesbania spp. with a rate of 2 t ha−1. Addition of crop residue under no tillage improved bulk soil organic carbon (SOC), particulate SOC content (PSOC) and aggregate stability, promoting a better soil physico-chemical behavior in all crop-rotations. The SOC contents under No tillage with residue incorporated plots (NTR) are much higher, maximum being in jute-rice-lentil (6.02 and 7.29 g kg−1, respectively in 0–0.15 and 0.15–0.30 m soil depth). The highest SOC density (330.03 g C m−2) and stock (3.30 Mg C ha−1) were recorded in the NT R. Soil microbial biomass (SMBC) was significantly higher in NT R (range: 641.84 to 745.97 µg g −1) followed by NT (631.42 to 678.46 µg g −1) and CT (490.68 to 634.83 µg g −1). Jute equivalent yield (JEY) was highest in jute-rice-lentil (J-R-L) under NTR (7.33 t ha−1). Thus, no tillage with residue incorporation under Jute-rice-lentil system is highly beneficial in maintaining crop productivity and improving soil quality.
摘要评价了黄麻种植系统（黄麻-水稻-小麦、黄麻-水稻扁豆和黄麻-水稻芥末）在不同耕作制度（即常规耕作（CT））下土壤质量在碳积累、团聚体稳定性和酶活性方面的变化，印度-恒河平原热带气候下的免耕（NT）和附加作物残留量的免耕（NTR）。作物采用常规（圆盘犁，然后是2台耕耘机）和免耕（免耕）种植，并以Sesbania spp.的形式施用额外的作物残留物，施用率为2 t ha−1。免耕条件下添加作物秸秆提高了土壤有机碳（SOC）、颗粒物有机碳含量（PSOC）和团聚体稳定性，促进了所有轮作中更好的土壤理化行为。免耕留渣小区土壤有机碳含量较高，黄麻-水稻扁豆土壤有机碳最高（6.02和7.29） g kg−1，分别在0–0.15和0.15–0.30 m土壤深度）。最高SOC密度（330.03 g C m−2）和库存（3.30 Mg C ha−1）记录在NT中 R.NT的土壤微生物生物量（SMBC）显著较高 R（范围：641.84至745.97µg g−1），然后是NT（631.42至678.46µg g-1）和CT（490.68至634.83µg g-1）。在NTR（7.33 t ha−1）条件下，黄麻-水稻扁豆（J-R-L）的黄麻当量产量（JEY）最高。因此，在黄麻-水稻-扁豆体系下进行秸秆还田对保持作物生产力和改善土壤质量非常有益。
{"title":"Improvement in soil quality through tillage and residue management in Jute (Corchorus spp.) based cropping systems of Indo-Gangetic plains","authors":"R. Saha, A. Paswan, S. Mazumdar, D. Barman, B. Majumdar, M. Behera, A. Saha","doi":"10.1080/17583004.2022.2068453","DOIUrl":"https://doi.org/10.1080/17583004.2022.2068453","url":null,"abstract":"Abstract The changes in soil quality in terms of carbon accumulation, aggregate stability and enzyme activity were evaluated in Jute based cropping systems (jute-rice-wheat, jute-rice-lentil and jute-rice-mustard) subjected to various tillage systems, i.e. conventional tillage (CT), no tillage (NT) and no tillage with additional crop residue retention (NTR) under tropical climate of Indo-Gangetic plains. The crops were grown with conventional (disc plowing, followed by 2 cultivators) and no tillage (no ploughing) and additional crop residues were applied as Sesbania spp. with a rate of 2 t ha−1. Addition of crop residue under no tillage improved bulk soil organic carbon (SOC), particulate SOC content (PSOC) and aggregate stability, promoting a better soil physico-chemical behavior in all crop-rotations. The SOC contents under No tillage with residue incorporated plots (NTR) are much higher, maximum being in jute-rice-lentil (6.02 and 7.29 g kg−1, respectively in 0–0.15 and 0.15–0.30 m soil depth). The highest SOC density (330.03 g C m−2) and stock (3.30 Mg C ha−1) were recorded in the NT R. Soil microbial biomass (SMBC) was significantly higher in NT R (range: 641.84 to 745.97 µg g −1) followed by NT (631.42 to 678.46 µg g −1) and CT (490.68 to 634.83 µg g −1). Jute equivalent yield (JEY) was highest in jute-rice-lentil (J-R-L) under NTR (7.33 t ha−1). Thus, no tillage with residue incorporation under Jute-rice-lentil system is highly beneficial in maintaining crop productivity and improving soil quality.","PeriodicalId":48941,"journal":{"name":"Carbon Management","volume":"13 1","pages":"205 - 215"},"PeriodicalIF":3.1,"publicationDate":"2022-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45185304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-02DOI: 10.1080/17583004.2022.2046173
I. Sebos
Abstract The reliance on petroleum derivatives and the increasing trend of fuel consumption in the transport sector have brought attention to biofuels as a measure to reduce greenhouse gas (GHG) emissions, enhance energy security and boost economic development. The incentive for utilizing biofuels is their potential to reduce carbon dioxide (CO2) emissions compared to fossil fuels. Biofuels are considered to be carbon-neutral, regarding the direct CO2 emissions associated with their combustion, on the grounds that the carbon dioxide absorbed by the plants through photosynthesis is equivalent to the CO2 released during their combustion. However, a part of the carbon of biofuels may have a fossil origin and therefore, it is responsible for “non-neutral” CO2 emissions. This was recognized by the Intergovernmental Panel on Climate Change (IPCC) in its guidelines for greenhouse gas inventories. Nevertheless, specific guidance of how to estimate fossil CO2 emissions per each type of biofuel, in order to facilitate the work of emission inventory compilers and practitioners, is neither available in the IPCC guidelines nor in the scientific literature. The purpose of this paper is to define a higher tier method to estimate the associated CO2 emissions with the fossil carbon content of biofuels, aiming to cover all possible biofuel types that are mainly used nowadays to replace diesel and gasoline. Graphical abstract
{"title":"Fossil fraction of CO2 emissions of biofuels","authors":"I. Sebos","doi":"10.1080/17583004.2022.2046173","DOIUrl":"https://doi.org/10.1080/17583004.2022.2046173","url":null,"abstract":"Abstract The reliance on petroleum derivatives and the increasing trend of fuel consumption in the transport sector have brought attention to biofuels as a measure to reduce greenhouse gas (GHG) emissions, enhance energy security and boost economic development. The incentive for utilizing biofuels is their potential to reduce carbon dioxide (CO2) emissions compared to fossil fuels. Biofuels are considered to be carbon-neutral, regarding the direct CO2 emissions associated with their combustion, on the grounds that the carbon dioxide absorbed by the plants through photosynthesis is equivalent to the CO2 released during their combustion. However, a part of the carbon of biofuels may have a fossil origin and therefore, it is responsible for “non-neutral” CO2 emissions. This was recognized by the Intergovernmental Panel on Climate Change (IPCC) in its guidelines for greenhouse gas inventories. Nevertheless, specific guidance of how to estimate fossil CO2 emissions per each type of biofuel, in order to facilitate the work of emission inventory compilers and practitioners, is neither available in the IPCC guidelines nor in the scientific literature. The purpose of this paper is to define a higher tier method to estimate the associated CO2 emissions with the fossil carbon content of biofuels, aiming to cover all possible biofuel types that are mainly used nowadays to replace diesel and gasoline. Graphical abstract","PeriodicalId":48941,"journal":{"name":"Carbon Management","volume":"13 1","pages":"154 - 163"},"PeriodicalIF":3.1,"publicationDate":"2022-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43838886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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