Pub Date : 2023-12-21DOI: 10.1142/s2345748123500185
K. S. Alehile
Climate change poses mounting risks to agricultural development and rural livelihoods in Nigeria. This study investigates the impacts of climate change on agricultural sector employment in Nigeria. Agriculture provides income and sustenance for much of Nigeria’s rural population. However, smallholder rain-fed farming predominates, with minimal resilience to climate shifts. Historical data reveal rising temperatures and declining, erratic rainfall across Nigeria’s agro-ecological zones since the 1970s. Crop modeling predicts further climate changes will reduce yields of key staple crops. This threatens the viability of smallholder agriculture and risks widespread job losses. The study adopts a nonlinear autoregressive distributed lag (NARDL) modeling approach to evaluate climate change effects on agricultural sector employment in Nigeria from 1990 to 2020. Findings reveal reduced rainfall initially raises employment, as farming requires more labor in dry conditions. However, protracted droughts significantly reduce agricultural jobs. Increased temperatures consistently lower farm employment through reduced yields and incomes. Based on these findings, the study recommends that adaptive strategies are urgently needed to build resilience, promote climate-smart agriculture, and safeguard rural livelihoods.
{"title":"Climate Change Effects on Employment in the Nigeria’s Agricultural Sector","authors":"K. S. Alehile","doi":"10.1142/s2345748123500185","DOIUrl":"https://doi.org/10.1142/s2345748123500185","url":null,"abstract":"Climate change poses mounting risks to agricultural development and rural livelihoods in Nigeria. This study investigates the impacts of climate change on agricultural sector employment in Nigeria. Agriculture provides income and sustenance for much of Nigeria’s rural population. However, smallholder rain-fed farming predominates, with minimal resilience to climate shifts. Historical data reveal rising temperatures and declining, erratic rainfall across Nigeria’s agro-ecological zones since the 1970s. Crop modeling predicts further climate changes will reduce yields of key staple crops. This threatens the viability of smallholder agriculture and risks widespread job losses. The study adopts a nonlinear autoregressive distributed lag (NARDL) modeling approach to evaluate climate change effects on agricultural sector employment in Nigeria from 1990 to 2020. Findings reveal reduced rainfall initially raises employment, as farming requires more labor in dry conditions. However, protracted droughts significantly reduce agricultural jobs. Increased temperatures consistently lower farm employment through reduced yields and incomes. Based on these findings, the study recommends that adaptive strategies are urgently needed to build resilience, promote climate-smart agriculture, and safeguard rural livelihoods.","PeriodicalId":43051,"journal":{"name":"Chinese Journal of Urban and Environmental Studies","volume":"51 35","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138949501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-13DOI: 10.1142/s2345748123500148
Shanshan Shi, Mi Li, Jianchao Xi
Ecotourism potential is a fundamental research effort needed to promote sustainable regional tourism development, and scholars have paid greater attention to it in recent years, which has led to an increase in the publication of literature on this important and widely recognized topic. However, there is still no clear picture of the development direction of research on ecotourism potential. To address this issue, this study attempts to provide a comprehensive analysis of the existing research state in this field. This paper presents a more detailed review of ecotourism potential, a bibliometric analysis of 949 articles selected from 1,027 publications retrieved from the Web of Science Core Collection database, and a systematic descriptive and network analysis of the bibliometric data using the Biblioshiny tool. Here are some interesting findings: (1) research on the ecotourism potential in the academy started in 1992, with a rapid growth in the number of publications after 2013, with an overall interdisciplinary character and the emergence of a research community represented by Milcu, Balmford, Gallagher, and others; (2) ecotourism, conservation, tourism, management, and biodiversity are high-frequency keywords in this field, revealing the main research directions; (3) the development and evolution of research focus are mainly on three aspects: wildlife and biodiversity conservation, nature-based tourism and environmental values, and the modes and contributions of community participation. Future research should focus on the scientific references of ecotourism potential for promoting regional sustainable development. This paper sheds some light on the comprehensive bibliometric studies on ecotourism potential and improves our understanding of the evolution of this academic discourse theme over the last three decades.
{"title":"Ecotourism Potential: A Bibliometric Review","authors":"Shanshan Shi, Mi Li, Jianchao Xi","doi":"10.1142/s2345748123500148","DOIUrl":"https://doi.org/10.1142/s2345748123500148","url":null,"abstract":"Ecotourism potential is a fundamental research effort needed to promote sustainable regional tourism development, and scholars have paid greater attention to it in recent years, which has led to an increase in the publication of literature on this important and widely recognized topic. However, there is still no clear picture of the development direction of research on ecotourism potential. To address this issue, this study attempts to provide a comprehensive analysis of the existing research state in this field. This paper presents a more detailed review of ecotourism potential, a bibliometric analysis of 949 articles selected from 1,027 publications retrieved from the Web of Science Core Collection database, and a systematic descriptive and network analysis of the bibliometric data using the Biblioshiny tool. Here are some interesting findings: (1) research on the ecotourism potential in the academy started in 1992, with a rapid growth in the number of publications after 2013, with an overall interdisciplinary character and the emergence of a research community represented by Milcu, Balmford, Gallagher, and others; (2) ecotourism, conservation, tourism, management, and biodiversity are high-frequency keywords in this field, revealing the main research directions; (3) the development and evolution of research focus are mainly on three aspects: wildlife and biodiversity conservation, nature-based tourism and environmental values, and the modes and contributions of community participation. Future research should focus on the scientific references of ecotourism potential for promoting regional sustainable development. This paper sheds some light on the comprehensive bibliometric studies on ecotourism potential and improves our understanding of the evolution of this academic discourse theme over the last three decades.","PeriodicalId":43051,"journal":{"name":"Chinese Journal of Urban and Environmental Studies","volume":"283 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139003748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Based on global statistics, floods rank the first among natural disasters that severely disrupt human life, property, and the environment. Iran, as one of the flood-prone countries, is located in southwestern Asia. The geographical elevation, maritime influences, seasonal winds, and proximity to mountain ranges or deserts play a significant role in its daily and seasonal temperature fluctuations, as well as its precipitation patterns and types. According to official statistics in Iran, among climate-related hazards, some 70% of the annual funds of the Plan for Reducing the Effects of Natural Disasters have been spent on compensation for damages from floods. Yet, what augments the importance of floods and their damages is the fact that human and urban centers have been located in flood-prone areas. Therefore, considering the dense populations and financial capitals in such areas, it is necessary to assess the vulnerability of urban floods, especially in big cities like Ahvaz. This metropolis, as the capital of Khuzestan province, is located in the marshy plains with a population of over one million people. It is traversed by the country’s most water-rich river, the Karun. The aim of this study is to assess the vulnerability of Ahvaz from flood as a natural hazard and its coping capacity. The methodology of the study is descriptive-analytical and is based on its practical purpose. Fuzzy Hierarchy Model (Fuzzy Analytic Hierarchy Process) has been used for the spatial analysis of vulnerability and the capacity to deal with floods. In summary, the findings are as follows: (a) Considering the floods that have occurred in the past six decades and comparing the affected areas with the results of this research in terms of highly vulnerable areas in the central part of the city, the model used has shown high efficiency in determining the vulnerability caused by urban flooding. (b) As far as vulnerability is concerned, location and physical–environmental conditions stimulate and reinforce other factors which are influential in determining the level of vulnerability. (c) Encroachment on river boundaries, especially limiting the river width, leads to a reduction in flood capacity and an increase in vulnerability in those areas. (d) The vulnerability level of Ahvaz to flooding, based on area, falls within five categories of vulnerability spectrum as follows: Very High 4.6%, High 8.7%, Moderate 13.4%, Low 15.2%, and Very Low 58%.
{"title":"Assessment of the Vulnerability of Riverine Cities and Their Coping Capacity against Floods (Case Study: Ahvaz Metropolis)","authors":"Majid GOODARZI, Zahrah SOLTANI, Reza Nazarpour DEZAKI","doi":"10.1142/s2345748123500173","DOIUrl":"https://doi.org/10.1142/s2345748123500173","url":null,"abstract":"Based on global statistics, floods rank the first among natural disasters that severely disrupt human life, property, and the environment. Iran, as one of the flood-prone countries, is located in southwestern Asia. The geographical elevation, maritime influences, seasonal winds, and proximity to mountain ranges or deserts play a significant role in its daily and seasonal temperature fluctuations, as well as its precipitation patterns and types. According to official statistics in Iran, among climate-related hazards, some 70% of the annual funds of the Plan for Reducing the Effects of Natural Disasters have been spent on compensation for damages from floods. Yet, what augments the importance of floods and their damages is the fact that human and urban centers have been located in flood-prone areas. Therefore, considering the dense populations and financial capitals in such areas, it is necessary to assess the vulnerability of urban floods, especially in big cities like Ahvaz. This metropolis, as the capital of Khuzestan province, is located in the marshy plains with a population of over one million people. It is traversed by the country’s most water-rich river, the Karun. The aim of this study is to assess the vulnerability of Ahvaz from flood as a natural hazard and its coping capacity. The methodology of the study is descriptive-analytical and is based on its practical purpose. Fuzzy Hierarchy Model (Fuzzy Analytic Hierarchy Process) has been used for the spatial analysis of vulnerability and the capacity to deal with floods. In summary, the findings are as follows: (a) Considering the floods that have occurred in the past six decades and comparing the affected areas with the results of this research in terms of highly vulnerable areas in the central part of the city, the model used has shown high efficiency in determining the vulnerability caused by urban flooding. (b) As far as vulnerability is concerned, location and physical–environmental conditions stimulate and reinforce other factors which are influential in determining the level of vulnerability. (c) Encroachment on river boundaries, especially limiting the river width, leads to a reduction in flood capacity and an increase in vulnerability in those areas. (d) The vulnerability level of Ahvaz to flooding, based on area, falls within five categories of vulnerability spectrum as follows: Very High 4.6%, High 8.7%, Moderate 13.4%, Low 15.2%, and Very Low 58%.","PeriodicalId":43051,"journal":{"name":"Chinese Journal of Urban and Environmental Studies","volume":"90 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135514042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-14DOI: 10.1142/s234574812350015x
Li ZHUANG, Zhonglei YU, Chang SUN, Xiaojing HOU
Urban infrastructure is the lifeline and material foundation for the normal operation of cities. It is of great significance to accurately evaluate the resilience level of urban infrastructure and identify the main obstacle factors for the construction of resilient cities. This paper establishes an index system for urban infrastructure resilience evaluation from three dimensions: Pre-disaster prevention capacity, disaster resistance capacity, and post-disaster recovery capacity. It also uses the CRITIC method to determine the index weights and identifies the main obstacle factors based on the obstacle degree model (ODM). The results show that urban infrastructure resilience in China is generally low and varies greatly in terms of structure across provinces and municipalities. The main obstacle factors affecting urban infrastructure resilience include the capacities to conduct pre-disaster prevention and post-disaster recovery in the production and supply of electricity, gas and water, to construct infrastructure recovery projects, and to ensure energy supply and power supply. It is recommended to promote the application of the concept of “resilience” throughout the entire process of urban planning, construction and governance, understand the current situation of urban infrastructure, coordinate the investment of resources such as funding, manpower and technology, enhance the robustness and redundancy of urban infrastructure systems, actively optimize the layout of urban infrastructure, and continuously improve the application of intelligent technologies in infrastructure systems.
{"title":"The Evaluation and Obstacle Identification of Urban Infrastructure Resilience in China","authors":"Li ZHUANG, Zhonglei YU, Chang SUN, Xiaojing HOU","doi":"10.1142/s234574812350015x","DOIUrl":"https://doi.org/10.1142/s234574812350015x","url":null,"abstract":"Urban infrastructure is the lifeline and material foundation for the normal operation of cities. It is of great significance to accurately evaluate the resilience level of urban infrastructure and identify the main obstacle factors for the construction of resilient cities. This paper establishes an index system for urban infrastructure resilience evaluation from three dimensions: Pre-disaster prevention capacity, disaster resistance capacity, and post-disaster recovery capacity. It also uses the CRITIC method to determine the index weights and identifies the main obstacle factors based on the obstacle degree model (ODM). The results show that urban infrastructure resilience in China is generally low and varies greatly in terms of structure across provinces and municipalities. The main obstacle factors affecting urban infrastructure resilience include the capacities to conduct pre-disaster prevention and post-disaster recovery in the production and supply of electricity, gas and water, to construct infrastructure recovery projects, and to ensure energy supply and power supply. It is recommended to promote the application of the concept of “resilience” throughout the entire process of urban planning, construction and governance, understand the current situation of urban infrastructure, coordinate the investment of resources such as funding, manpower and technology, enhance the robustness and redundancy of urban infrastructure systems, actively optimize the layout of urban infrastructure, and continuously improve the application of intelligent technologies in infrastructure systems.","PeriodicalId":43051,"journal":{"name":"Chinese Journal of Urban and Environmental Studies","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135803437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-14DOI: 10.1142/s2345748123500161
Ali MOAZZENI KHORASGANI, Maria H. VILLALOBOS
Neighborhoods and urban contexts are full of potential hidden inside them in an intangible form and can be used for their development and sustainability. Therefore, studying, discovering, and using them can help revive worn and historical textures. These mental factors include things not in the city’s outward appearance but in its heart and memory. The mindscape of the city includes everything that has meaning for its residents. Collective memories lead to strengthening their sense of belonging. The sense of belonging and collective memory is one factor that promotes social participation in the neighborhood and urban contexts. Social involvement is an efficient factor in facilitating neighborhood management, attracting investment, and helping environmental issues. Finally, it plays an influential role in sustaining life in urban contexts. Despite the plans that have been made to promote the sense of collective memory and increase the sense of belonging to the place, Chicago’s Bronzeville neighborhood has yet to achieve its growth and prosperity as in the past. Therefore, this paper focuses on studying how mindscape can help the sustainability and development of cities. The research method in this paper is based on document study, the review of documents related to prominent research in the fields of objective landscape, place identity, sense of place, and surface, and was carried out by descriptive-analytical research method. The method of collecting information is in two forms: documentary and field. Field information will be collected through two questionnaires (see Appendices A and B) from residents and experts. In this research, after reviewing and studying the documents and analyzing the field data, we present the proposed model of the influential factors of the mental landscape in the sustainability of urban contexts and draw the following conclusions: The concept of the mindscape holds significant importance in the context of creating sustainable cities and communities. It encompasses belonging, collective memories, and factors promoting social participation. Safeguarding and nurturing collective memory, the sense of place, belonging, and social participation are crucial in sustaining the mindscape and ensuring the long-term well-being of urban environments. By prioritizing these elements, cities and communities can foster a stronger connection between residents and their surroundings, resulting in a more vibrant and resilient urban fabric.
{"title":"Mindscape and Its Effect on Cities’ Sustainability: A Case Study of Bronzeville Neighborhood — Chicago","authors":"Ali MOAZZENI KHORASGANI, Maria H. VILLALOBOS","doi":"10.1142/s2345748123500161","DOIUrl":"https://doi.org/10.1142/s2345748123500161","url":null,"abstract":"Neighborhoods and urban contexts are full of potential hidden inside them in an intangible form and can be used for their development and sustainability. Therefore, studying, discovering, and using them can help revive worn and historical textures. These mental factors include things not in the city’s outward appearance but in its heart and memory. The mindscape of the city includes everything that has meaning for its residents. Collective memories lead to strengthening their sense of belonging. The sense of belonging and collective memory is one factor that promotes social participation in the neighborhood and urban contexts. Social involvement is an efficient factor in facilitating neighborhood management, attracting investment, and helping environmental issues. Finally, it plays an influential role in sustaining life in urban contexts. Despite the plans that have been made to promote the sense of collective memory and increase the sense of belonging to the place, Chicago’s Bronzeville neighborhood has yet to achieve its growth and prosperity as in the past. Therefore, this paper focuses on studying how mindscape can help the sustainability and development of cities. The research method in this paper is based on document study, the review of documents related to prominent research in the fields of objective landscape, place identity, sense of place, and surface, and was carried out by descriptive-analytical research method. The method of collecting information is in two forms: documentary and field. Field information will be collected through two questionnaires (see Appendices A and B) from residents and experts. In this research, after reviewing and studying the documents and analyzing the field data, we present the proposed model of the influential factors of the mental landscape in the sustainability of urban contexts and draw the following conclusions: The concept of the mindscape holds significant importance in the context of creating sustainable cities and communities. It encompasses belonging, collective memories, and factors promoting social participation. Safeguarding and nurturing collective memory, the sense of place, belonging, and social participation are crucial in sustaining the mindscape and ensuring the long-term well-being of urban environments. By prioritizing these elements, cities and communities can foster a stronger connection between residents and their surroundings, resulting in a more vibrant and resilient urban fabric.","PeriodicalId":43051,"journal":{"name":"Chinese Journal of Urban and Environmental Studies","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135803613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this study, a statistical analysis of historical and projected values of the annual, seasonal, and supra-seasonal precipitation concentration index (PCI) was conducted for different stations in the Cheliff watershed. Statistical methods such as breakpoint and trend analysis using Pettitt and Mann–Kendall tests were used for the PCI values of annual, monthly, and supra-seasonal precipitation data between 1950 and 2014. The PCI values varied between 14.24% and 24.86% annually, between 10.75% and 18.74% seasonally, and between 11.23% and 26.98% supra-seasonally. According to the Pettitt and Mann–Kendall tests, there was an insignificant change in precipitation distribution during the study period. Spatial analysis using the inverse distance weighting (IDW) method confirmed the minor variability in precipitation distribution in the study area. The Pearson correlation coefficient between oscillation indices and PCI values at different scales showed significant values with the Mediterranean Oscillation index (MOi), North Atlantic Oscillation (NAO), and Western Mediterranean Oscillation index (WeMOi), highlighting their potential influence on annual PCI values. For the climate projection scenarios, projected PCI values align with historical PCI values. Application of Pettitt and Mann-Kendall tests to the projected PCI series shows that there will not be a significant change in future precipitation distribution.
{"title":"The Precipitation Concentration in the Cheliff Watershed, Algeria: A Critical Analysis for Sustainable Water Resource Management","authors":"Samiha BRAHIMI, Hind MEDDI, Mohamed MEDDI, Faiza HALLOUZ, Abdelamir SAAED HAMOUDI","doi":"10.1142/s2345748123500136","DOIUrl":"https://doi.org/10.1142/s2345748123500136","url":null,"abstract":"In this study, a statistical analysis of historical and projected values of the annual, seasonal, and supra-seasonal precipitation concentration index (PCI) was conducted for different stations in the Cheliff watershed. Statistical methods such as breakpoint and trend analysis using Pettitt and Mann–Kendall tests were used for the PCI values of annual, monthly, and supra-seasonal precipitation data between 1950 and 2014. The PCI values varied between 14.24% and 24.86% annually, between 10.75% and 18.74% seasonally, and between 11.23% and 26.98% supra-seasonally. According to the Pettitt and Mann–Kendall tests, there was an insignificant change in precipitation distribution during the study period. Spatial analysis using the inverse distance weighting (IDW) method confirmed the minor variability in precipitation distribution in the study area. The Pearson correlation coefficient between oscillation indices and PCI values at different scales showed significant values with the Mediterranean Oscillation index (MOi), North Atlantic Oscillation (NAO), and Western Mediterranean Oscillation index (WeMOi), highlighting their potential influence on annual PCI values. For the climate projection scenarios, projected PCI values align with historical PCI values. Application of Pettitt and Mann-Kendall tests to the projected PCI series shows that there will not be a significant change in future precipitation distribution.","PeriodicalId":43051,"journal":{"name":"Chinese Journal of Urban and Environmental Studies","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135854074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-28DOI: 10.1142/s2345748123500100
Chengyi Zhang, Hongmin Yu, Guicai Li, Z. Deng, Yonghong Xie, Qingchen Chao, Jiashuang Yuan, S. Wang
On the scientific basis, the carbon sink estimation of wetland was summarized up, that is stock-difference method and gain–loss method as a fundamental approach. The major issues when those methods were applied in that estimation had been raised up for attention to be paid. Based upon the science achievements, the research approaches and policy foundation for market trading about the wetland carbon sink had been analyzed for that sink sustainability. It was concluded that the decomposition reduction of wetland plant material and rewetting and suitable restoration of wetland are essential for its sink conservation. Nowadays, China has already set the wetland conservation for its carbon sink sustainability as a part of the national goal in the carbon peaking road-map, further elaboration on the policymaking should be taken for the wetland sink conclusive into the voluntary market and as an offset of the partly compulsory reduction of emission.
{"title":"Study of Hot Issues on the Scientific Foundation and Utilization of Wetland Carbon Sinks","authors":"Chengyi Zhang, Hongmin Yu, Guicai Li, Z. Deng, Yonghong Xie, Qingchen Chao, Jiashuang Yuan, S. Wang","doi":"10.1142/s2345748123500100","DOIUrl":"https://doi.org/10.1142/s2345748123500100","url":null,"abstract":"On the scientific basis, the carbon sink estimation of wetland was summarized up, that is stock-difference method and gain–loss method as a fundamental approach. The major issues when those methods were applied in that estimation had been raised up for attention to be paid. Based upon the science achievements, the research approaches and policy foundation for market trading about the wetland carbon sink had been analyzed for that sink sustainability. It was concluded that the decomposition reduction of wetland plant material and rewetting and suitable restoration of wetland are essential for its sink conservation. Nowadays, China has already set the wetland conservation for its carbon sink sustainability as a part of the national goal in the carbon peaking road-map, further elaboration on the policymaking should be taken for the wetland sink conclusive into the voluntary market and as an offset of the partly compulsory reduction of emission.","PeriodicalId":43051,"journal":{"name":"Chinese Journal of Urban and Environmental Studies","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48033864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
After the carbon peaking and carbon neutrality goals were proposed, different institutions and scholars carried out research on China’s medium- and long-term mitigation pathways. Through the literature review of China’s research on carbon neutrality, this paper finds that the zero-carbon energy transition is the key to achieving carbon neutrality. The main driving factors of reducing energy-related carbon emissions include the cleanliness of primary and secondary energy supply systems, the electrification of energy consumption and the development of hydrogen energy, energy efficiency improvement, carbon capture and storage (CCS), and negative emissions. Furthermore, based on the literature, this paper conducts a quantitative comparative analysis, and selects key indicators for comparative analysis and summary from seven dimensions, including economic and social development, carbon emission pathways, primary energy consumption, final energy consumption, final hydrogen energy consumption, electricity demand and supply, and installed capacity and structure of power generation. Main conclusions are as follows: (i) In terms of carbon emission pathways, the institutions generally believed that China will peak carbon emissions around 2028 and achieve carbon neutrality between 2050 and 2060. Achieving net-zero or near-zero emissions first in the power sector is the key to carbon neutrality across the society; (ii) In terms of energy supply, it is a consensus to increase the proportion of clean energy and reduce carbon emissions from the source. The proportion of clean energy in primary energy will increase to more than 85%, and the proportion of clean energy power generation and installed capacity will reach more than 90%; (iii) In terms of energy use, electricity will become the core of final energy consumption in the future. The predicted electricity consumption across the society will range 14.3–18.4[Formula: see text]PWh, and the predicted electrification rate will exceed 65%.
{"title":"Study of the Carbon Neutral Path in China: A Literature Review","authors":"Fangxin Hou, Yifang Liu, Zhiyuan Ma, Chang-Yi Liu, Shining Zhang, Fang Yang, Yuanhong Nie","doi":"10.1142/s2345748123500082","DOIUrl":"https://doi.org/10.1142/s2345748123500082","url":null,"abstract":"After the carbon peaking and carbon neutrality goals were proposed, different institutions and scholars carried out research on China’s medium- and long-term mitigation pathways. Through the literature review of China’s research on carbon neutrality, this paper finds that the zero-carbon energy transition is the key to achieving carbon neutrality. The main driving factors of reducing energy-related carbon emissions include the cleanliness of primary and secondary energy supply systems, the electrification of energy consumption and the development of hydrogen energy, energy efficiency improvement, carbon capture and storage (CCS), and negative emissions. Furthermore, based on the literature, this paper conducts a quantitative comparative analysis, and selects key indicators for comparative analysis and summary from seven dimensions, including economic and social development, carbon emission pathways, primary energy consumption, final energy consumption, final hydrogen energy consumption, electricity demand and supply, and installed capacity and structure of power generation. Main conclusions are as follows: (i) In terms of carbon emission pathways, the institutions generally believed that China will peak carbon emissions around 2028 and achieve carbon neutrality between 2050 and 2060. Achieving net-zero or near-zero emissions first in the power sector is the key to carbon neutrality across the society; (ii) In terms of energy supply, it is a consensus to increase the proportion of clean energy and reduce carbon emissions from the source. The proportion of clean energy in primary energy will increase to more than 85%, and the proportion of clean energy power generation and installed capacity will reach more than 90%; (iii) In terms of energy use, electricity will become the core of final energy consumption in the future. The predicted electricity consumption across the society will range 14.3–18.4[Formula: see text]PWh, and the predicted electrification rate will exceed 65%.","PeriodicalId":43051,"journal":{"name":"Chinese Journal of Urban and Environmental Studies","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48934620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-12DOI: 10.1142/s2345748123500094
Wei Wei, Dianmin Zhou, Zhao Chen
The iron and steel industry is the largest carbon emitter in China’s manufacturing sector and one of the most important fields in the country’s response to climate change. This paper aims to explain the current situation, technological pathways, and future direction of green and low-carbon development of the iron and steel industry. According to the carbon emissions of the iron and steel industry, this paper analyzes the relationship between steelmaking technologies and carbon emissions, as well as the transformation trend of the world’s iron and steel industry, finding that China’s iron and steel industry faces both opportunities and challenges. Steel scrap recycling and electric furnace steelmaking technologies, re-electrification, hydrogen metallurgy, resource recycling and by-products, and carbon capture and utilization (CCU) are the main technologies tailored to the transformation pathways, and the optimization of energy consumption structure is an important direction for future development. Therefore, this paper believes that clean energy, as a guarantee for carbon mitigation, will play an increasingly important role in the process towards achieving carbon peaking and carbon neutrality goals (the “dual carbon” goals), in addition to the transformation of metallurgical technologies.
{"title":"The Current Situation, Development, and Prospects of the Iron and Steel Industry in the Process towards the “Dual Carbon” Goals","authors":"Wei Wei, Dianmin Zhou, Zhao Chen","doi":"10.1142/s2345748123500094","DOIUrl":"https://doi.org/10.1142/s2345748123500094","url":null,"abstract":"The iron and steel industry is the largest carbon emitter in China’s manufacturing sector and one of the most important fields in the country’s response to climate change. This paper aims to explain the current situation, technological pathways, and future direction of green and low-carbon development of the iron and steel industry. According to the carbon emissions of the iron and steel industry, this paper analyzes the relationship between steelmaking technologies and carbon emissions, as well as the transformation trend of the world’s iron and steel industry, finding that China’s iron and steel industry faces both opportunities and challenges. Steel scrap recycling and electric furnace steelmaking technologies, re-electrification, hydrogen metallurgy, resource recycling and by-products, and carbon capture and utilization (CCU) are the main technologies tailored to the transformation pathways, and the optimization of energy consumption structure is an important direction for future development. Therefore, this paper believes that clean energy, as a guarantee for carbon mitigation, will play an increasingly important role in the process towards achieving carbon peaking and carbon neutrality goals (the “dual carbon” goals), in addition to the transformation of metallurgical technologies.","PeriodicalId":43051,"journal":{"name":"Chinese Journal of Urban and Environmental Studies","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48751945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
China’s automotive industry has been dedicated to a series of carbon-reduction efforts and has strived for comprehensive green and low-carbon transformation in order to achieve carbon peaking and carbon neutrality goals. On the basis of automobiles’ whole life-cycle (WLC) carbon emission accounting, this paper calculates life-cycle carbon emissions per vehicle, proposes green and low-carbon development path for China’s automotive industry, quantifies and analyzes implicated carbon-reduction potential, and puts forth suggestions for high-quality green and low-carbon development of China’s automotive industry. The first is to establish a sound standard and data management system; the second is to promote research, development and application of low-carbon materials and low-carbon technologies; the third is to accelerate the pace of fostering a new consumption model in the automotive industry. The research results can further support national policy-making regarding carbon emissions, promote corporations’ research, development and application of low-carbon technologies, encourage green and low-carbon consumption, and lead the automotive industry to achieve WLC neutrality.
{"title":"Research on Green and Low-Carbon Development Path of China’s Automotive Industry","authors":"Dongchang Zhao, Mingnan Zhao, Xing Sun, Hongjie Zhang, Huanran Liu, Jinlong Wu, Zhenlu Lei, Jia’ang Li, Bing Qian, Linfeng Lu, Yu Lin, Weih Chang","doi":"10.1142/s2345748123500045","DOIUrl":"https://doi.org/10.1142/s2345748123500045","url":null,"abstract":"China’s automotive industry has been dedicated to a series of carbon-reduction efforts and has strived for comprehensive green and low-carbon transformation in order to achieve carbon peaking and carbon neutrality goals. On the basis of automobiles’ whole life-cycle (WLC) carbon emission accounting, this paper calculates life-cycle carbon emissions per vehicle, proposes green and low-carbon development path for China’s automotive industry, quantifies and analyzes implicated carbon-reduction potential, and puts forth suggestions for high-quality green and low-carbon development of China’s automotive industry. The first is to establish a sound standard and data management system; the second is to promote research, development and application of low-carbon materials and low-carbon technologies; the third is to accelerate the pace of fostering a new consumption model in the automotive industry. The research results can further support national policy-making regarding carbon emissions, promote corporations’ research, development and application of low-carbon technologies, encourage green and low-carbon consumption, and lead the automotive industry to achieve WLC neutrality.","PeriodicalId":43051,"journal":{"name":"Chinese Journal of Urban and Environmental Studies","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41500672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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