基于投入视角的黄淮海平原农业碳排放与经济发展脱钩研究

农业增长对资源依赖的变化趋势以及农业发展与环境的互动关系日益引起学术界的关注.运用脱钩理论,以2000-2005和2005-2010年为时间尺度,以县域为空间尺度,探讨黄淮海平原农业碳排放与经济增长之间的脱钩关系,揭示两者脱钩发展的时间和空间演变趋势及转移特征,并尝试分析脱钩的内在机理.结果表明:(1)脱钩类型的数量结构和空间格局均发生明显变化,黄淮海平原农业正处于由资源依赖向技术依赖的过渡时期.2000-2005年农业碳排放与经济增长以强复钩和扩张性复钩为主,脱钩空间格局较为分散;2005-2010年以强脱钩和弱脱钩为主,脱钩区域呈现空间集聚态势;若考虑因技术进步带来的碳排放系数变化因素,脱钩趋势将会更加明显.造成这种空间格局的原因主要是经济增长与环境的关系较为复杂,经济发展、技术进步和制度创新等因素通过互动机制共同作用于农业生产经营主体.(2)脱钩类型的转换呈跳跃性,转换方式以强复钩、扩张性复钩转换为强脱钩、弱脱钩为主,且脱钩状态不稳定,持续脱钩难度较大.脱钩状况受到经济效应、技术效应和政策效应等因素的共同作用,3者作用的两面性是持续脱钩难的重要原因.     

中国碳排放的区域差异及其与经济增长的关联分析

采用政府间气候变化专门委员会(IPCC)的碳排放测算方法,计算了除香港、澳门、台湾和西藏外中国30个省(市、自治区)1995-2010年的碳排放量,并选取碳排放总量、碳排放强度和人均碳排放量3个指标,运用多指标面板数据聚类法,将各省份划分为高、中和低碳排放区域:高碳排放区域包括河北、山西、内蒙古、辽宁、山东和宁夏,低碳排放区域包括北京、浙江、安徽、福建、江西、湖北、湖南、广东、广西、海南、重庆、四川、云南、陕西和青海,中碳排放区域包括天津、吉林、黑龙江、上海、江苏、河南、贵州、甘肃和新疆.分别对3类地区的人均碳排放量和人均GDP进行协整检验和回归分析,结果显示人均碳排放量和人均GDP存在长期协整关系且符合环境库兹涅茨曲线,高、中和低碳排放区域的理论曲线拐点分别为人均GDP 41 046、50 219和47 049元.今后一段时期内我国碳排放总量还将继续增长,但GDP的增长速度大于碳排放量的增长速度,碳排放强度会继续下降.     

“双碳”目标下江西省农业碳排放量测算、影响因素分析与预测研究

农业是中国的立国之本,也是重要的碳排放源,发展低碳农业有助于中国总体碳减排目标的实现。选择农资投入、农田利用、畜禽养殖及秸秆焚烧4类碳源,利用IPCC碳排放模型对江西省2000—2020年的农业碳排放量予以测算,利用LMDI模型进行影响因素分解,并运用XGBoost模型预测2021—2050年碳排放量。结果表明：(1)2000—2020年江西省农业碳排放总量呈现先下降后上升再下降的波动趋势,总体呈上升趋势,但农业碳排放强度逐年降低。农业碳排放源中农田土壤利用贡献率最高,其次为畜禽养殖、农资投入和秸秆焚烧。2000—2020年江西省11个地级市农业碳排放量及排放强度均呈现明显的区域差异,且差异不断扩大,其中宜春市的农业碳排放量和平均碳排放强度均居于首位。(2)地区经济发展水平的提高和城镇化率的增加是导致农业碳排放量增加的主要因素,而农业生产效率、农业产业结构、地区产业结构和劳动力对碳减排的作用比较有限。(3)预测结果显示,2030年前江西省农业碳排放总量及11个地级市农业碳排放量已达到峰值。其中,新余市在2005年最早达到峰值,景德镇市和赣州市在2016年最晚达到峰值。2020年后,江西...     

农业机械化对我国农业碳排放效率的影响——基于Super-SBM-Tobit模型

随着“双碳”目标的提出,碳减排成为农业发展的重要任务,为了从农业机械化视角助力中国农业低碳发展,探究其对我国农业碳排放效率的影响,基于2011—2020年中国31个省(市、自治区)的农业生产相关面板数据,综合运用Super-SBM模型和Tobit模型测算中国省域农业的碳排放效率,并重点分析了农业机械化水平对农业碳排放效率的影响。研究结果表明：2011—2020年中国的农业碳排放效率均值为0.925,平均年增长率为2.744%,整体农业碳排放效率稳步提高,但仍存在较大的提升空间,且各地区间存在较大差异;农业机械化水平在1%的显著性水平上与农业碳排放效率呈现正相关关系,提高农业机械化发展水平、推动农业生产发展与节能减排协同增效,是中国新时期新常态下奔向“双碳”目标的必由之路。基于上述结论,从科技创新、因地制宜、政策支持和农业机械化服务组织搭建4个角度提出建议。     

一个改进的农业生产函数模型:兼论遗传资源对江苏省农业经济增长的贡献

遗传资源是农业生产中重要的投入要素,通过将遗传资源投入纳入C-D生产函数模型,并对2001—2007年江苏省农业生产经济数据进行分析,计算江苏省遗传资源及其他生产要素对农业经济增长的贡献率。结果表明,江苏省农业经济增长主要依赖于动物遗传资源投入和科技进步。与固定资产和劳动力投入要素相比,遗传资源对农业经济增长的整体贡献明显,其中动物遗传资源的贡献高于植物遗传资源。因此,江苏省应优化农业结构,提高遗传资源利用率,加大科技投入,推进农业现代化建设。     

湖南省农地利用碳排放与农业经济关系研究

基于化肥、农药、农膜、灌溉、翻耕和柴油6类农地利用碳排放源,测算了1999—2014年湖南省农地利用碳排放量和碳排放强度。在此基础上,分析得出1999—2014年湖南省农地利用碳排放与农业经济间的脱钩弹性关系,进一步利用环境库兹涅茨(environmental Kuznets curve,EKC)模型对农地利用碳排放与农业经济关系进行验证。结果表明:(1) 1999—2014年,湖南省农地利用碳排放与农业经济的脱钩关系表现为扩张负脱钩、弱脱钩和弱负脱钩3种状态,农地利用碳排放与农业经济的脱钩弹性指数变化呈现"快速增长—快速下降—平稳增长"的阶段性演进特征;(2)湖南省农地利用碳排放与农业经济的关系呈对数函数曲线,农地利用碳排放量、碳排放强度均随着农业经济增长而连续增长,在研究期内未出现下降拐点;(3)湖南省现阶段农业经济增长方式仍然以粗放型为主,存在着农业生产要素投入未能充分有效利用、农业生产对环境影响较大的问题。     

低碳经济与农业发展思考

大气中碳浓度的升高是导致全球气候变化的主要原因.以低能耗、低排放、低污染为特征的低碳经济是目前人类应对全球气候变化,减缓温室气体排放的根本出路.农业生产与全球气候变化息息相关,农业是温室气体的第二大重要来源,如何减少农业温室气体排放量并探寻减排方法已经成为当务之急.从低碳经济这一热点问题谈起,论述了农业生产与全球气候变化的关系,以及当前农业面临的问题和挑战,提出了发展低碳农业的对策以及具体措施,旨在为呼应低碳经济,应对全球气候变化提供科学决策,促进现代农业由高碳经济向低碳经济转型,实现农业的可持续发展.     

Long-run dynamics of renewable energy consumption on carbon emissions and economic growth in the European union

This paper examines long-run and short-run dynamics of renewable energy consumption on carbon dioxide (CO₂) emissions and economic growth in the European Union. This study employs cointegration tests, Granger causality tests and vector error correction estimates to examine the direction of Granger causality, the long-run dynamics of economic growth and energy variables on carbon emissions. This study analyses time series data from the World Development Indicators over the period from1961 to 2012. The results of this study support a link between renewable energy consumption, economic growth, industrialization, exports and CO₂ emissions in the long-run and short-run. The results support that the sign of the long-run dynamics from the endogenous variables to the CO₂ emissions variable is negative and significant, which implies that the energy and environmental policies of the European Union aimed at curbing CO₂ emissions must have been effective in the long-term. Furthermore, renewable energy consumption and exports have significant negative impact on CO₂ emissions in the short-run. However, industrialization and economic growth have positive impact on CO₂ emissions in the short-run. The results suggest that both economic growth and industrialization must have been achieved at the cost of harming the environment. The finding suggests that the increasing consumption of renewable energy tends to play an important role in curbing carbon emissions in the region.     

Tourism effects on the environment and economic sustainability of sub-Saharan Africa

This paper integrates tourism, economic growth, and environmental issues in a multivariate format. Unlike recent research on this topic, a panel data of selected sample nations of sub-Saharan Africa is adopted by using cointegration and panel regression models. The current research discovers both long-run equilibrium and short-run dynamics between economic growth, tourism, energy use, and carbon emissions in sub-Saharan Africa. Furthermore, tourism and energy use show a highly significant direct impact on economic growth. In addition, tourism, energy use, and economic growth yield a highly significant positive effect on carbon emissions. Dissecting the region into oil producers and non-oil producers further suggests that the economic growth of sub-Saharan Africa has been accomplished by strong growth in tourism and energy use. However, there is highly significant evidence that in oil producing countries, CO₂ emissions are directly affected by energy use and economic growth and not by tourism. For non-oil producing countries, tourism and energy use but not economic growth incur a highly significant positive impact on carbon emissions.     

The relationships among tourism development,energy demand,and growth factors in developed and developing countries

The objective of the study is to explore the different factors that affect tourism development in the panel of 34 developed and developing countries, over the period of 2005–2013. Energy consumption, air pollution, health expenditures, and economic growth played a vital role to change tourism development indicators in the region. The results confirmed the long-run association between the energy, environment, growth, and tourism indicators in the panel of selected 34 countries. The results of fully modified ordinary least squares (FMOLS) indicate that health expenditures have a positive relationship with the tourism indicators, while energy consumption exerts a negative association with the tourism indicators in the region. The results of dynamic ordinary least squares regression also confirmed the same results of FMOLS regarding health expenditures and energy consumption, that is, positive and negative impacts on the tourism indicators. However, carbon dioxide emissions exert a positive relationship with the tourism indicators in the region.     

Study of county-level low-carbon standards in China based on carbon emissions per capita

ABSTRACT

Low-carbon development is an essential measure to combat climate change, and the establishment of low-carbon standards is an important means to achieve low-carbon development. Due to the differences in size and development level among counties of China, the applicability and fairness of county-level low-carbon standards are very important in this country. This study analyzed the trends of county-level carbon emissions in China, defined the peak value of carbon emissions per capita, summarized the characteristics of existing low-carbon standards, and proposed a fair county-level low-carbon standard based on carbon emissions per capita. The results of our analysis suggest that, under the constraints of carbon emissions reduction policies, China’s carbon emissions per capita will tend towards a stable range. Additionally, by referring to predictions results of the peak value of China’s carbon emissions per capita, it was determined that, in low-carbon development targets, China’s county-level carbon emissions per capita should be set within the range of 2–4 tons. Besides setting low-carbon standards, the Chinese government and private enterprises should develop low-carbon technologies as soon as possible and innovate management models to achieve the win–win situation of simultaneous economic growth and carbon emissions reduction.     

农业生产措施对土壤碳库的影响

在陆地碳平衡日益成为全球变化科学和生态科学中最为前沿与热点问题的前提下,农业碳平衡问题也受到了强烈的关注,从而促进了农业生产措施对土壤碳库影响的研究。文章综述了农业生产措施对土壤碳库的影响及其效率。从全球不同地区的研究得出,农业措施决定了现阶段农业生态系统是C源还是C汇。目前,影响农田土壤碳库的措施主要有:农业用地面积的扩张;耕地的休耕与利用;农业施肥;耕作方式;作物类型与轮作;秸秆还田。平均不同地区的研究结果,各种措施提高土壤碳积累的效率(CMg·hm-2·a-1)分别为:施用动物肥料0.6(肥料用量10Mg·hm-2·a-1)、施化肥-0.71、耕地转换为草场0.825、改善轮作0.21、实施免耕0.315、秸秆还田0.3。目前研究存在的问题及将来的研究重点应主要集中在:通过改善农业措施提高土壤碳库的可行性;土壤有机碳积累与农业措施间的关系的地区差异性;农业措施提高土壤碳库所产生的环境效益与经济效益。     

Decomposition and decoupling analysis of carbon emissions from agricultural economic growth in China's Yangtze River economic belt

Environmental Geochemistry and Health - In this study, carbon emissions from agricultural energy consumption (CEAEC) are fully analyzed using data from the Yangtze River Economic Belt (YEB) between...     

Cumulative carbon emissions and economic policy: In search of general principles

We exploit recent advances in climate science to develop a physically consistent, yet surprisingly simple, model of climate policy. It seems that key economic models have greatly overestimated the delay between carbon emissions and warming, and ignored the saturation of carbon sinks that takes place when the atmospheric concentration of carbon dioxide rises. This has important implications for climate policy. If carbon emissions are abated, damages are avoided almost immediately. Therefore it is optimal to reduce emissions significantly in the near term and bring about a slow transition to optimal peak warming, even if optimal steady-state/peak warming is high. The optimal carbon price should start relatively high and grow relatively fast.     

工业发展与环境污染关系的区域差异分析--基于江苏省的实证研究

利用格兰杰因果关系检验（Granger causality tests）方法分析了江苏省处在不同发展阶段的三大区域的工业经济增长和环境污染之间双向作用关系。研究结果表明：经济发展水平越高,工业经济增长对环境污染的影响越明显,并且持续时间长,在某种程度上环境污染已经成为受工业经济增长影响的内生变量;江苏省三大区域环境污染都不是工业经济增长的原因,环境污染的加重并不能带来工业经济的增长,因此,在实践中靠牺牲环境来换取经济增长的理念是不可取的,＂先污染后治理＂的发展思路是不可行的。     

福建省经济发展与工业污染水平计量模型研究

经济增长和环境污染之间的关系常用环境库兹涅茨曲线（EKC）来描述,典型的EKc一般呈倒u形。对福建省1988—2008年的经济与环境系列数据研究表明,福建省工业“三废”排放与人均GDP之间存在明显的相关性,但并不完全符合EKC的典型倒“U”模型。工业废水和工业s02排放曲线为“U＋倒U”形,EKC的转折点已分别在2006年和2008年到达;工业废气排放曲线为正“U”形的右半部分,EKc的转折点尚未出现。因此,福建省要进一步调整产业结构,提升第三产业在整个国民经济中的比重,优化第二产业结构,减少工业废气排放量,争取尽早跨越EKC拐点。     

集约化农区经济发展对耕地土壤有机碳含量变化的影响

陆地生态系统土壤有机碳储量变化是全球气候变化研究的重要方面,而耕地土壤有机碳含量是当中最活跃的部分,与人类利用行为以及社会经济发展水平相联系。文章选取黄淮海平原的北京市大兴区、河北省曲周县和黄土高原的山西省兴县的446个耕作层土壤20世纪80年代和2000年的有机碳含量数据和当地的社会经济、投入产出资料,结果表明:20年来,不同区域耕地土壤有机碳含量存在空间变异,但是其空间分布格局并未发生变化;对土地的集约利用并未造成土壤有机碳含量的降低,相反,各区域土壤有机碳含量普遍增加。结合相应的农户调查和统计资料,发现区域经济发展强烈地影响着土壤有机碳储量发生变化。无论自然条件优劣,还是经济发展水平处于何种阶段,经济的发展都能够促使农户增加对土地的投入,经济发达地区有充足的资金和市场保障,通过农业结构调整会增加对土地的投入;经济落后地区追求作物高产,促使土地投入也不断增加;使得作物经济产量和生物产量获得提高,促使耕地土壤有机碳含量增加。