A panel study on the relationship between biofuels production and sustainable development

Biomass is one of the renewable energy sources on which policy makers are greatly dependent on since it is a flexible feedstock capable of conversion into electricity, transport liquid fuels and heat by chemical and biological processes on demand. Though numerous publications have examined the relationship of economic growth with renewable energy and other parameters, biomass energy has never been included in these studies. Then, this study examines the causal relationship within a multivariate panel cointegration/error correction framework which combines the cross-section and time series data while allowing for heterogeneity across different provinces. After employing panel data regression model ranging from 2003 through 2012 to examine the relationships of biofuels production with sustainable development in China, the paper concludes that the development of biofuel energy production integrated with the consideration of the improvement of income per capita, and the attraction of more capital investment, does make a significant contribution to economic growth. However, some negative side effects including the increase of greenhouse emissions and the decrease of marginal land still coexist with the economic development. Of course, the importance of these findings lies on their implications and their adoption on strategic policies.     

中国经济发展方式的转变动力及其作用途径

以全要素生产率增长动力作为经济发展方式的转变动力,本文采用1989-2013年4组省际面板数据经由可行广义最小二乘法实证估计了10个动力因素对全要素生产率增长率的贡献水平与作用途径。研究发现:技术创新水平、市场化水平、人力资本存量水平、异质性企业集聚水平和对外开放度的综合指数对中国全要素生产率增长率的回归估计系数分别为0.575 7,0.212 5,0.136 8,0.064 4和0.018,表明技术创新、市场化改革、人力资本积累、异质性企业集聚和对外开放是促进中国经济发展方式转变的直接动力因素。进一步的研究结果显示:技术创新和异质性企业集聚通过提高前沿技术进步率和生产效率变化率以及规模报酬收益率途径,市场化改革通过提高前沿技术进步率途径,人力资本积累与对外开放通过提高前沿技术进步率和规模报酬收益率途径,促进了中国全要素生产率增长。虽然产业结构变迁、城市化、基础设施建设、区域经济政策实施和金融发展对中国全要素生产率的增长表现为负向或拖累作用,但是,产业结构变迁与城市化能够提高前沿技术进步率,基础设施建设和区域经济政策能够提高规模报酬收益率,金融发展能够提高生产效率增长率和规模报酬收益率,这5项动力因素对促进中国全要素生产率增长的正向贡献有待提高。依据上述研究结论,本文提出尽快攻克制约生产率增长的核心技术,统筹考虑产业结构升级、城市化、基础设施建设和区域经济政策实施以及加快金融领域改革等政策建议,以期加快我国经济发展方式转变进程。     

土地城镇化与人口城镇化的非协调性和互动关系

土地城镇化与人口城镇化失调是我国目前城镇化进程中的一个突出问题。但对各地区土地城镇化与人口城镇化的非协调性进行全面系统分析的研究相对较少。此外,鲜有研究对土地城镇化与人口城镇化之间的互动关系进行实证检验。本研究利用我国2005—2013年间的省级面板数据考察各省级行政区土地城镇化与人口城镇化的非协调性,并通过构建和估计面板向量自回归模型探究土地城镇化与人口城镇化之间的互动关系。研究发现,土地城镇化与人口城镇化的非协调性存在着显著的时空差异。在样本期的后半段(2009—2013年),多个省级行政区人口城镇化滞后于土地城镇化的程度有所加深。根据全样本期内土地城镇化与人口城镇化非协调性的严重程度,可将各省级行政区划分为5个等级。城镇常住人口变化对建成区面积变化具有显著的正向影响;建成区面积变化对城镇常住人口变化的影响方向虽然为正,但该影响不具有统计显著性。从而表明人口城镇化对土地城镇化起到了推动作用,但土地城镇化却未能有效地带动和促进人口城镇化。此外,第二、三产业增加值变化对城镇常住人口变化具有显著的正向影响。研究从改革新增建设用地指标分配方式、抑制城市空间粗放扩张及推动户籍制度改革和基本公共服务均等化等方面提出了促进土地城镇化和人口城镇化协调发展的政策建议。     

The influence of Chinese population policy change on resources and the environment

Universal two-child policy has been implemented since the end of 2015 in China. This policy is anticipated to bring a significant increase in the total population, with profound influences on the resources and environment in the future. This paper analyzes the changing dynamics of urban and rural population, and forecasts urban and rural population from 2016 to 2030 at national and provincial scale using a double log linear regression model. Drawing upon the results of these two predictions, the impact of the population policy change on Chinese resources consumption and environmental pollution are predicted quantitatively. Given the future total population maintains current levels on resources consumption and environmental emission, the additional demand of resources and environment demand for the new population is forecasted and compared against the capacity on supply side. The findings are as follows: after implementing the universal two-child policy, China’s grain, energy consumption, domestic water demand, and pollutant emissions are projected to increase at different rates across provinces. To meet the needs arising from future population growth, food and energy self-sufficiency rate will be significantly reduced in the future, while relying more on imports. Stability of the water supply needs to be improved, especially in Beijing, Henan, Jiangsu, Qinghai, and Sichuan where the gap in future domestic water demand is comparatively larger. Environmental protection and associated governing capability are in urgent need of upgrade not least due to the increasing pressure of pollution.     

Mapping shifts in spatial synchrony in grassland birds to inform conservation planning

Spatial synchrony, defined as the correlated fluctuations in abundance of spatially separated populations, can be caused by regional fluctuations in natural and anthropogenic environmental population drivers. Investigations into the geography of synchrony can provide useful insight to inform conservation planning efforts by revealing regions of common population drivers and metapopulation extinction vulnerability. We examined the geography of spatial synchrony and decadal changes in these patterns for grassland birds in the United States and Canada, which are experiencing widespread and persistent population declines. We used Bayesian hierarchical models and over 50 years of abundance data from the North American Breeding Bird Survey to generate population indices within a 2° latitude by 2° longitude grid. We computed and mapped mean local spatial synchrony for each cell (mean detrended correlation of the index among neighboring cells), along with associated uncertainty, for 19 species in 2, 26-year periods, 1968–1993 and 1994–2019. Grassland birds were predicted to increase in spatial synchrony where agricultural intensification, climate change, or interactions between the 2 increased. We found no evidence of an overall increase in synchrony among grassland bird species. However, based on the geography of these changes, there was considerable spatial heterogeneity within species. Averaging across species, we identified clusters of increasing spatial synchrony in the Prairie Pothole and Shortgrass Prairie regions and a region of decreasing spatial synchrony in the eastern United States. Our approach has the potential to inform continental-scale conservation planning by adding an additional layer of relevant information to species status assessments and spatial prioritization of policy and management actions. Our work adds to a growing literature suggesting that global change may result in shifting patterns of spatial synchrony in population dynamics across taxa with broad implications for biodiversity conservation.     

Implications of Macroalgal Isolation by Distance for Networks of Marine Protected Areas

The global extent of macroalgal forests is declining, greatly affecting marine biodiversity at broad scales through the effects macroalgae have on ecosystem processes, habitat provision, and food web support. Networks of marine protected areas comprise one potential tool that may safeguard gene flow among macroalgal populations in the face of increasing population fragmentation caused by pollution, habitat modification, climate change, algal harvesting, trophic cascades, and other anthropogenic stressors. Optimal design of protected area networks requires knowledge of effective dispersal distances for a range of macroalgae. We conducted a global meta‐analysis based on data in the published literature to determine the generality of relation between genetic differentiation and geographic distance among macroalgal populations. We also examined whether spatial genetic variation differed significantly with respect to higher taxon, life history, and habitat characteristics. We found clear evidence of population isolation by distance across a multitude of macroalgal species. Genetic and geographic distance were positively correlated across 49 studies; a modal distance of 50–100 km maintained F_ST < 0.2. This relation was consistent for all algal divisions, life cycles, habitats, and molecular marker classes investigated. Incorporating knowledge of the spatial scales of gene flow into the design of marine protected area networks will help moderate anthropogenic increases in population isolation and inbreeding and contribute to the resilience of macroalgal forests. Implicaciones del Aislamiento por Distancia de Macroalgas para Redes de Áreas Marinas Protegidas     

政府主导、人口流动与城乡收入差距

中国经济增长具有典型的政府主导特征,通过构造一个包含城镇和农村经济产出的社会福利函数来分析政府主导型经济增长对城乡收入差距的影响关系,并基于中国城镇化发展实际分析了人口流动对城乡收入差距的影响,在此基础上提出研究假说,统计中国1997—2014年省际面板数据,采用泰尔指数测度城乡收入差距并分别进行静态和动态回归分析与检验。静态研究发现政府主导和人口流动显著地拉大了城乡收入差距,但是二者的交互项对城乡收入差距的确具有收敛效应,即随着人口流动的增加,政府主导对城乡收入差距的边际贡献会降低,同样随着政府主导的提升也会降低人口流动对城乡收入差距的边际贡献,这种影响关系在分区域的回归中依然成立,并通过了稳健性检验;动态研究发现全国和分区域中城乡收入差距的变动存在显著的正向路径依赖特征,全国层面政府主导显著地拉大了城乡收入差距,而人口流动及其与政府主导的交互项则显著地缩小了城乡收入差距,但分区域来看政府主导和人口流动对城乡收入差距的影响存在显著的区域异质性,并通过了稳健性检验。因此缩小城乡收入差距不应设置单一的政策目标,需要建立多方面的政策配套体系,逐步矫正政府主导型经济中造成的政府职能异化,精准识别地方财政收支量的规模和结构条件,扩大涉农业务投资的规模,激活农村经济发展活力;在城乡户籍制度改革中进一步打破城乡分割藩篱,大力发展非农产业,增加农民的非农就业机会,促进农民的非农化就业和城镇化迁移,提升城镇化发展质量;最终通过一系列的配套性制度安排,旨在加强支持农业发展和农村建设,促进农民收入增长的制度供给,实现城乡共享发展。     

Estimating population dynamics without population data

We develop a biologically correct cost system for production systems facing invasive pests that allows the estimation of population dynamics without a priori knowledge of their true values. We apply that model to a data set for olive producers in Crete and derive from it predictions about the underlying population dynamics. Those dynamics are compared to information on population dynamics obtained from pest sampling with extremely favorable results.     

矿业权集聚、经济增长与区域贫困减缓

本文基于泰尔指数法,计算并测度了中国资源富集区的城乡收入差距与行业(矿业)收入差距,然后结合矿业权集聚度的测度结果和中国资源税改革的变动特征,建立面板数据回归模型,考察了2004—2014年中国资源富集区矿业权集聚与经济增长、贫困减缓的长期关系。本文的主要结论是:资源税对矿业权集聚水平和矿业经济增长具有正向刺激作用,但矿业经济增长并不利于地区经济的整体改进,也不利于区域贫困减缓。资源税低水平征收对"资源诅咒"和"区域贫困"具有传导效应,进而对资源富集区的贫困减缓形成阻滞作用。另外,矿业权集聚对地区贫困的影响存在异质性,异质性揭示了区域资源性收益分配存在的差异。短期来看,矿业权集聚使中央企业惠及更多,是引致"富饶中的贫困"怪圈的重要原因;但长期来看,随着矿业权集聚度的提升,地方政府获得的累积性资源性收益不断上升,渐次增强了地方政府通过社会保障支出实施收入调节的能力,总体上有利于区域贫困的减缓。因此,为实现资源富集区的精准扶贫,资源主管部门在制定减贫措施前,应根据不同区域特点区别对待,短期内应着力于调整资源性收益分配机制,赋予地方更多资源性收益,并加大对社会的保障性支出;长期来看,应探索建立合理有效的资源税体制,促进经济增长方式的多样化,并鼓励科技创新,进一步提高社会群体的受教育程度,从根本上改变区域贫困产生的内生性环境和外生性环境。     

The channels of the effect of government expenditure on the environment: evidence using dynamic panel data

This paper explores the relationship between government spending and environmental quality using panel data for 94 countries for the period 1970–2008. We identify and estimate three distinct channels that comprise the total direct effect of government expenditure on air pollution, namely a marginal effect, an effect conditional on economic growth and an effect conditional on institutional quality. Since adjustment rate of emissions to their equilibrium level is slow due to technological and institutional reasons, we explicitly take into account dynamics by applying appropriate econometric methods. The results demonstrate that there is a significant alleviating direct effect of government expenditure on SO₂ and NO_x emissions, which increases with the level of economic growth and democracy. However, there is no evidence of a significant effect on pollutants with more global impact on the environment and human health, like N₂O and CO₂, implying that the adoption of international environmental treaties is required in this case.