In-between regional disparities and spatial heterogeneity: a multivariate analysis of territorial divides in Italy

Processes such as economic polarization, social disparities and the asymmetric distribution of natural capital are becoming progressively more interlinked in developed countries and may reflect the uneven decline of the ‘centre-periphery’ model. The assessment of regional disparities and spatial heterogeneity in socioeconomic phenomena is a key issue in regional studies and takes advantage of the use of multi-domain frameworks and decision support systems. We performed an exploratory analysis of 133 indicators assessing seven thematic domains (demography/settlements, labour market, economic structure, quality of life, agriculture/rural development, landscape/water, environment/soil resources) with the aim of investigating regional disparities in Italy in the light of territorial changes driven by urbanization, industrial decentralization, agricultural intensification and land abandonment. The results of our study indicate that latitude, elevation and urban gradients have determined a complex spatial pattern in both socioeconomic and environmental variables in Italy. The proposed approach provides an overall assessment of the intensity of territorial disparities on a regional scale for each thematic domain, and of intra-region spatial heterogeneity for each indicator, representing a decision-making tool for policies targeting a sustainable and spatially balanced development.     

Water Footprint of 65 Mid‐ to Large‐Sized U.S. Cities and Their Metropolitan Areas

Conventional indicators of water use for urban areas account primarily for direct water use. In contrast, our objective here is to employ the water footprint (WF) concept and methodology to include the virtual or indirect water use to assess the production‐side and consumption‐side WF of 65 United States (U.S.) cities. The 65 cities include the largest metropolitan areas and some of the major mid‐sized cities in the U.S. We use metropolitan areas to define our city boundaries as this is the native spatial resolution of the main datasets used. To estimate the urban WFs, we integrated large and disparate datasets, including commodity flow (agricultural, livestock, and industrial commodities), water use, and socioeconomic data. By analyzing the estimated WF values, we found indirect water use accounts on average for 66% of the WF of consumption. We found some cities are net virtual water exporters (11 of 65) because they rely heavily on direct water uses or are heavy producers of industrial commodities. Also, WF patterns vary widely across the U.S. but regional patterns seem to emerge. For example, the dense cities of the U.S. northeast megaregion have a significantly low per capita WF relative to the other cities, while cities in the Gulf Coast megaregion have a significantly higher industrial WF of production and consumption. Furthermore, there is inequality in the WF of consumption where a few cities account for a disproportionate share of the total U.S. urban water uses.     

考虑“水—土—能—碳”关联的我国工农业碳排放效率及减排潜力研究

考虑“水—土—能—碳”关联,本文将水土资源要素纳入投入变量,构建了我国工农业碳排放效率投入产出测度指标,运用考虑非期望产出的SBM-undesirable模型计算我国29个省份2004—2017年农业、工业部门碳排放效率,利用乘法逆转法计算碳减排潜力并对影响碳排放的投入产出因素进行分析。结果表明：研究期内我国整体农业、工业碳排放效率均呈波动下降趋势,各年的农业碳排放效率均高于工业碳排放效率,江苏、山东等7省份农业碳排放效率以及北京、天津工业碳排放效率最优;各省份农业、工业减排潜力和规模具有显著差异,山西、甘肃的农业、工业碳减排均具有较大潜力;我国绝大多数省份均存在农业、工业的资源能源投入冗余和非期望产出冗余,土地资源投入过剩是影响农业碳排放效率的最重要因素,水资源投入过剩是影响工业碳排放效率的最重要因素。碳排放效率较低省份应积极开展技术创新,发展低碳技术,提高水土资源和能源利用效率,减少碳排放。     

Spatial and temporal variation in nutrient parameters in stream water in a rural-urban catchment, Shikoku, Japan: effects of land cover and human impact

Seasonal and spatial variations in major ion chemistry and isotope composition in the rural-urban catchment of the Shigenobu River were monitored to determine the influences of agricultural and urban sewage systems on water quality. Temporal patterns of biochemical oxygen demand (BOD), total nitrogen (TN), total phosphorus (TP), and suspended sediment (SS) were examined at four sites in the rural-urban catchment. Urban land cover, incorporating the effects of increased population, domestic water use, and industrial wastewater, was positively associated with increases in water pollution and was included as an important explanatory variable for the variations in all water quality parameters. Significant trends were found in each parameter. BOD concentrations ranged widely, and were high in urban regions, due to the presence of a waste water treatment plant. TN and SS showed various trends, but did not vary widely, unlike TP. TP concentrations varied greatly, with high concentrations in cultivated areas, due to fertilizer use. Local water quality management or geology could further explain some of the variations in water quality. Non-point-source pollution exhibited strong positive spatial autocorrelation, indicating that incorporating spatial dimensions into water quality assessment enhances our understanding of spatial patterns of water quality. Data from the Ministry of Land Infrastructure and Transport (MLIT) and Environment Ministry (EM) were used to investigate trends in land management. Stepwise regression analysis was used to test the correlation between specific management practises and substance concentrations in surface water and sediment. MLIT and EM data for 1981-2003 showed an increase in TN, TP, and SS concentrations in surface water. High levels of fertilizer in dormant sprays and domestic water use were associated with high pesticide concentrations in water and sediment. This paper presents a novel method of studying the environmental impact of various agricultural management practises and recommends a management strategy that combines the use of reduced-risk pesticides with irrigation and non-irrigation periods in paddy fields.     

A multicriteria model for planning agricultural regions within a context of groundwater rational management

Current international research focuses on topics like sustainable development, regional planning, environmental decision making and implementation, biodiversity conservation plus a number of other relevant issues, especially at times of economic crisis as today. Economic growth and environmental protection can go hand in hand, provided that decision makers develop and use tools and insights targeting in the implementation of successful and robust long term policies. This paper was developed in the framework of a European research project and implements a Multicriteria Mathematical Programming model that optimises the sustainable management of agricultural regions taking in account the available resources (land, labour, capital) and environmental parameters (agrochemicals, water consumption). The model achieves the optimum farm plan in the area combining different criteria to a utility function under a set of constraints and the spatial integration of the vulnerability maps of the regions into the model enables the regional authorities to design policies for the optimal agricultural development and the groundwater protection from the agricultural land uses. Furthermore, the model is used to simulate different scenarios and policies by the local stakeholders, due to changes on different social, economic and environmental parameters. In this way the decision makers can achieve alternative farm plans and agricultural land uses as well as to estimate economic, social and environmental impacts of different policies. The model has been applied to an agricultural region in Northern Greece and proved to be a valuable tool in the implementation of environmental policies and actions, especially in agricultural regions in a delicate balance as the study area.     

ECONOMIC EVALUATION OF ON-FARM WATER MANAGEMENT PROJECTS1

ABSTRACT: During the last three decades, developing countries have invested enormous amounts of resources (running into billions of dollars) in the development of large surface irrigation systems. Investment funds were largely spent on the development of the main systems such as dams, canals and distributaries. Very little attention and resources have been spent on the development of below-the-outlet subsystems, in spite of very low levels of water use efficiency due to lack of proper land leveling, high water losses in field channels, and skewed distribution of available water among farmers served by individual water courses. This state of affairs has resulted in a lack of confidence on the part of most farmers in the reliability of surface irrigation systems to deliver water on time and in adequate quantities which, in turn, has resulted in farmers using below optimum levels of all other complementary inputs except labor. Realizing the importance of improving water use efficiency, both the domestic governments and donor agencies are increasingly paying serious attention to these problems. On-Farm Water Management (OFWM) as a strategy to improve water use efficiency and consequently agricultural production in many developing countries has been currently receiving very wide and vigorous consideration among economists, water management experts, policymakers, and donor agencies. A judicious use of the newly allocated funds of OFWM projects obviously needs proper evaluation procedures so that money could be allocated for the most deserving purposes and projects. In particular, recently, private profitability calculations due to public investments in OFWM activities have received attention from economists and decision makers in developing countries’governments and in donor agencies are very much interested in knowing the impacts of their investments in OFWM activities on farmers’income and welfare. However, the evaluation procedures commonly used in empirical studies, using a production function approach, seem to be at variance and sometimes inconsistent with proper comparative-static procedures. Thus, the primary objective of this paper is to develop consistent procedures for evaluating the impacts created by OFWM investments on farmers’income and resource use. In this context, the paper examines the critical relationship between the market price of the agricultural output and production function parameters which are affected by the OFWM investments.     

Impacts of Bakken Shale Oil Development on Regional Water Uses and Supply

The Bakken shale play in western North Dakota is one of the largest unconventional oilfields in the United States, but published research about impacts on the region's water resources is rare. In this study, besides examining North Dakota water management policies and activities, we also analyzed three datasets: the Bakken horizontal well completion data (2008‐2014), North Dakota permitted water consumption data (2000‐2014), and groundwater level and streamflow observations in western North Dakota (2000‐2014). We found from 2008 to 2014, the annual total industrial water uses for Bakken shale oil development ranged between 0.5 and 10% of statewide total consumptive water use. The percentage increases were between 3.0 and 40% within the Bakken oil production region. The increased population of temporary oilfield service workers contributed additional domestic water use, which was equivalent to ~15% of annual industrial water use for the shale oil development in the Bakken. Despite being in a semiarid region, the impact of Bakken development on regional water supply was limited because the water in the Bakken was adaptively managed and the region received on average over 20% more precipitation than normal during 2008‐2014. Of the 15 glaciofluvial aquifers under study, 12 have seen water levels increasing or unchanged and the water levels for the remaining 3 aquifers have decreased.     

Soil water repellency induced by long-term irrigation with treated sewage effluent

This study describes soil water repellency developed under prolonged irrigation with treated sewage effluent in a semiarid environment. Soil surface layer (0-5 cm) and soil profile (0-50 cm) transects were sampled at a high resolution at the close of the irrigation season and rainy winter season. Samples from 0- to 5-cm transects were subdivided into 1-cm slices to obtain fine scale resolution of repellency and organic matter distribution. Extreme to severe soil water repellency in the 0- to 5-cm soil surface layer persisted throughout the 2-yr study period in the effluent-irrigated Shamouti orange [Citrus sinensis (L.) Osbeck cv. Shamouti] orchard plot. Nearby Shamouti orange plots irrigated with tap water were either nonrepellent or only somewhat repellent. Repellency was very variable spatially and with depth, appearing in vertically oriented "repellency tongues." Temporal and spatial variability in repellency in the uppermost 5-cm soil surface layer was not related to seasonality, soil moisture content, or soil organic matter content. Nonuniform distribution of soil moisture and fingered flow were observed in the soil profile after both seasons, demonstrating that the repellent layer had a persistent effect on water flow in the soil profile. A lack of correlation between bulk density and volumetric water content in the soil profile demonstrates that the observed nonuniform spatial distribution of moisture results from preferential flow and not heterogeneity in soil properties. Soil water repellency can adversely affect agricultural production, cause contamination of underlying ground water resources, and result in excessive runoff and soil erosion.     

Modeling the relationship between land use and surface water quality

It is widely known that watershed hydrology is dependent on many factors, including land use, climate, and soil conditions. But the relative impacts of different types of land use on the surface water are yet to be ascertained and quantified. This research attempted to use a comprehensive approach to examine the hydrologic effects of land use at both a regional and a local scale. Statistical and spatial analyses were employed to examine the statistical and spatial relationships of land use and the flow and water quality in receiving waters on a regional scale in the State of Ohio. Besides, a widely accepted watershed-based water quality assessment tool, the Better Assessment Science Integrating Point and Nonpoint Sources (BASINS), was adopted to model the plausible effects of land use on water quality in a local watershed in the East Fork Little Miami River Basin. The results from the statistical analyses revealed that there was a significant relationship between land use and in-stream water quality, especially for nitrogen, phosphorus and Fecal coliform. The geographic information systems (GIS) spatial analyses identified the watersheds that have high levels of contaminants and percentages of agricultural and urban lands. Furthermore, the hydrologic and water quality modeling showed that agricultural and impervious urban lands produced a much higher level of nitrogen and phosphorus than other land surfaces. From this research, it seems that the approach adopted in this study is comprehensive, covering both the regional and local scales. It also reveals that BASINS is a very useful and reliable tool, capable of characterizing the flow and water quality conditions for the study area under different watershed scales. With little modification, these models should be able to adapt to other watersheds or to simulate other contaminants. They also can be used to study the plausible impacts of global environmental change. In addition, the information on the hydrologic effects of land use is very useful. It can provide guidelines not only for resource managers in restoring our aquatic ecosystems, but also for local planners in devising viable and ecologically-sound watershed development plans, as well as for policy makers in evaluating alternate land management decisions.     

Combination of multispectral remote sensing, variable rate technology and environmental modeling for citrus pest management

The Lower Rio Grande Valley (LRGV) of south Texas is an agriculturally rich area supporting intensive production of vegetables, fruits, grain sorghum, and cotton. Modern agricultural practices involve the combined use of irrigation with the application of large amounts of agrochemicals to maximize crop yields. Intensive agricultural activities in past decades might have caused potential contamination of soil, surface water, and groundwater due to leaching of pesticides in the vadose zone. In an effort to promote precision farming in citrus production, this paper aims at developing an airborne multispectral technique for identifying tree health problems in a citrus grove that can be combined with variable rate technology (VRT) for required pesticide application and environmental modeling for assessment of pollution prevention. An unsupervised linear unmixing method was applied to classify the image for the grove and quantify the symptom severity for appropriate infection control. The PRZM-3 model was used to estimate environmental impacts that contribute to nonpoint source pollution with and without the use of multispectral remote sensing and VRT. Research findings using site-specific environmental assessment clearly indicate that combination of remote sensing and VRT may result in benefit to the environment by reducing the nonpoint source pollution by 92.15%. Overall, this study demonstrates the potential of precision farming for citrus production in the nexus of industrial ecology and agricultural sustainability.     

Land use dynamics and soil quality in agro-forest systems: a country-scale assessment in Italy

The present study compares the spatial distribution of selected rural land use classes in Italy with two soil indicators (a Soil Quality Index [SQI] and the Maximum potential Water Capacity of the soil [MWC]) at three points in time (1960, 1990 and 2006). Results of the analysis showed that landscape changes reflect a ‘migration’ of both semi-natural (forests, pastures) and agricultural (arable land, vineyards) uses towards areas with lower-quality soils. In particular, the agricultural ‘mosaic’ and shrubland-pasture classes that occupied land in 2006 had significant lower values of both the SQI and MWC compared to 1960. These processes may have implications for the stability of agro-forest ecosystems in the medium term. Due to its versatility, the procedure illustrated represents a monitoring tool for sustainable land management at the regional and country scales.     

基于SML指数的环境回弹效应分析：模型与测算

本文通过搭建环境回弹效应理论框架,采用熵权法构造各地区综合环境污染指数,利用Sequential Malmquist-Luenberger指数全要素生产率模型测度技术进步对经济增长的贡献率,定量评估了1999—2017年我国30个省份的环境回弹效应,识别了环境回弹效应时序演变和区域差异,并进一步利用空间分析技术探究环境回弹效应的空间分布特征。研究表明:样本期内各省份环境回弹效应均值集中在-13.23%~29.63%,全国平均环境回弹效应为10.42%,实际减污率仅为65.74%;时序特征上,环境回弹效应与技术进步有部分相关性,但存在滞后作用,经济发展水平和技术溢出效应是主要的异质性来源;空间特征上,环境回弹效应的区域差异显著,但具有空间相关性,地理因素在解释环境回弹效应的影响因素中不容忽视;全局自相关检验表明2006—2011年各省份环境回弹效应呈显著的正自相关,空间集聚特征明显。建议进一步挖掘环境降污空间,加快经济增长与环境污染的脱钩,关注区域协同减排,是改善污染治理的有效措施。     

铅酸电池行业环保专项行动的环境与经济影响研究

"十五"以来,我国涉重行业高速发展,造成了严重的重金属污染和多起群体性污染事故。从2009年起,环保部等九部委连续四年对重金属排放企业违法排污行为进行环保专项行动。本文以2011年铅蓄电池行业环保专项行动为例,分析重金属污染治理的环境影响、经济影响和社会影响。专项行动对行业短期赢利能力和中小企业就业有一定负面影响,但是显著改善了行业产能利用率,提升了行业整体技术水平,提高了产业集中度,促进了空间布局向工业园区、向东部地区集中。总体来看,铅蓄电池行业环保专项行动达到了预期的环境和经济目标,行业发展从高增长、高代价的"非常态"模式进入相对可持续的中高速、低代价的"新常态"。"十三五"期间,要实现经济中高速增长和环境质量总体改善的双重目标,必须加强对高污染行业的环境管理。将行政执法与刑事执法紧密衔接,通过提高企业违法成本从源头遏制违法排污行为;根据污染企业的空间布局建设相应的环保机构,加强农村地区的环保能力;在欠发达地区要保持经济规划、城镇规划和环境规划的一致性,在区域协调发展过程中实现绿色发展。     

Municipal officers on implementing the EU water framework directive in Sweden regarding agricultural nutrient flows

The article analyses the perceptions at municipal level of potentials and problems in implementing integrated catchment management of water resources as proposed in the EU Water Framework Directive, expressed in views on how to reduce nutrient leakage from agricultural production. Heads of environmental authorities, spatial planners and environmental officers are among the professionals that will be key actors when implementing the WFD at the local level. Using a process of active focus group interviews, officials from municipal environmental offices studied, reflected upon and discussed the suggested plan concerning their part of implementing WFD. The municipal officers stressed certain conditions that have to be met to implement WFD in a sustainable manner. The most important conditions are clear environmental goals and management plans with support in legislation, which would put the necessary pressure upon local politicians to prioritize the WFD and take action. The respondents perceived the WFD would offer a changed approach in work routines with farmers towards partnerships for sustainable water resource management.     

Impacts of Multiple Stresses on Water Demand and Supply Across the Southeastern United States1

Abstract: Assessment of long‐term impacts of projected changes in climate, population, and land use and land cover on regional water resource is critical to the sustainable development of the southeastern United States. The objective of this study was to fully budget annual water availability for water supply (precipitation ? evapotranspiration + groundwater supply + return flow) and demand from commercial, domestic, industrial, irrigation, livestock, mining, and thermoelectric uses. The Water Supply Stress Index and Water Supply Stress Index Ratio were developed to evaluate water stress conditions over time and across the 666 eight‐digit Hydrologic Unit Code basins in the 13 southeastern states. Predictions from two Global Circulation Models (CGC1 and HadCM2Sul), one land use change model, and one human population model, were integrated to project future water supply stress in 2020. We found that population increase greatly stressed water supply in metropolitan areas located in the Piedmont region and Florida. Predicted land use and land cover changes will have little effect on water quantity and water supply‐water demand relationship. In contrast, climate changes had the most pronounced effects on regional water supply and demand, especially in western Texas where water stress was historically highest in the study region. The simulation system developed by this study is useful for water resource planners to address water shortage problems such as those experienced during 2007 in the study region. Future studies should focus on refining the water supply term to include flow exchanges between watersheds and constraints of water quality and environmental flows to water availability for human use.     

MANAGING GROUND WATER QUALITY IN RELATION TO AGRICULTURAL ACTiVITIES1

ABSTRACT: Ground water quality is an environmental issue of national concern. Agricultural activities, because they involve large land areas, often are cited as a major contributor of ground water contaminants. It appears that some degree of ground water contamination from agricultural land use is inevitable, especially where precipitation exceeds evapotranspiration. For this reason, and because agriculture differs significantly from point sources of pollution, farmers, policymakers, and scientists need alternative management strategies by which to protect ground water. Mathematical models coupled to geographic information systems to form expert systems can be important management tools for both policymakers and agricultural producers. An expert system can provide farmers, researchers, and environmental managers with information by which to better manage agricultural production systems to minimize ground water contamination. Significant research is necessary to perfect such a system, necessitating interim ground water management strategies that include not only a strong research program, but educational and public policy components as well.     

Ethics,Narrative, and Agriculture: Transforming Agricultural Practice through Ecological Imagination

The environmental degradation caused by industrial agriculture, as well as the resulting social and health consequences, creates an urgency to rethink food production by expanding the moral imagination to include agricultural practices. Agricultural practices presume human use of the earth and acknowledge human dependence on the biotic community, and these relations mean that agriculture presents a separate set of considerations in the broader field of environmental ethics. Many scholars and activists have argued persuasively that we need new stories to rethink agricultural practice, however, the link—the story that does and can shape agricultural practice—has not yet been fully articulated in environmental discourse. My analysis explores how language has shaped existing agricultural models and, more important, the potential of story to influence agricultural practice. To do this, I draw upon cognitive theory to illustrate how metaphoric and narrative language structures thought and influences practice, beginning with my contention that industrial agriculture relies on a discourse of mechanistic relations between humans and a passive earth, language that has naturalized the chemically intensive monocultures prevalent in much of the American Midwest. However, alternative agricultures, including organic agriculture, agro-ecology, and ecological agriculture, emphasize qualities such as interdependence and reciprocity and do so as a deliberate response to the perceived inadequacies of industrial agriculture and its governing narrative. Exploring the different discourses of agricultural systems can help us think through different modalities for human relations with the biotic community and demonstrate story’s potential role in altering practice.     

环境规制、技术创新与企业绩效——基于石化行业VOCs排污收费政策的准自然实验

文章以2015—2019年中国石化行业337家上市公司为研究样本,运用双重差分模型验证了当期环境规制对后一期企业绩效的正向影响。进一步的中介效应检验发现,环境规制主要通过技术创新促进企业绩效的提高,从而验证了中国石化行业“波特假说”的存在。此外文章还发现环境规制影响企业绩效的效果及作用机制存在显著的区域差异,东、中部地区表现出显著正向影响,均支持“波特假说”,西部地区则影响不明显。基于上述研究,文章认为促进石化行业的绿色低碳发展,需进一步加大石化行业生态环境保护的政策实施力度、促进石化行业企业的科技投入并注重区域差异。     

中国沿海城市化推进对海洋污染的影响及作用机制——基于面板空间计量方法

探究沿海城市化推进与海洋污染间的关系对沿海城市绿色发展具有重要意义。本文基于2006—2013年中国沿海46个地级市的海洋污染物浓度数据和遥感所得的夜间灯光亮度数据，运用面板空间计量技术从深度推进和广度推进两方面系统考察了沿海城市化对海洋污染的影响及作用机制，结果表明：以紧凑集约为特征的城市化深度推进与海洋污染之间存在着非线性的“U形”关系，而以规模扩张为特征的城市化广度推进只会单纯地加剧海洋污染。城市化深度推进会通过集聚效应和技术进步效应对海洋污染产生积极影响，而城市化广度推进过程中所带来的人口规模的扩大会加剧海洋污染，此外产业结构和绿色技术未能转型升级也是城市扩张加剧海洋污染的关键因素所在。本研究提出在海洋环境管理过程中，一是要加强区域合作，实现海洋污染的区域联防联控；二是应注重城市的紧凑集约化发展，发挥沿海城市化推进对海洋污染防治的正外部性影响；三是需推进海洋经济的绿色可持续发展，实现海洋经济发展与海洋环境污染的脱钩。     

Lakes,Wetlands, and Streams as Predictors of Land Use/Cover Distribution

The importance of the surrounding landscape to aquatic ecosystems has been well established. Most research linking aquatic ecosystems to landscapes has focused on the one-way effect of land on water. However, to understand fully the complex interactions between aquatic and terrestrial ecosystems, aquatic ecosystems must be seen not only as receptors of human modification of the landscape, but also as potential drivers of these modifications. We hypothesized that the presence of aquatic ecosystems influences the spatial distribution of human land use/cover of the nearby landscape (≤1 km) and that this influence has changed through time from the 1930s to the 1990s. To test this hypothesis, we compared the distribution of residential, agricultural, and forested land use/cover around aquatic ecosystems (lakes, wetlands, and streams) to the overall regional land use/cover proportion in an area in southeast Michigan, USA; we also compared the distribution of land use/cover around county roads/highway and towns (known determinants of many land use/cover patterns) to the regional proportion. We found that lakes, wetlands, and streams were strongly associated with the distribution of land use/cover, that each ecosystem type showed different patterns, and that the magnitude of the association was at least as strong as the association with human features. We also found that the area closest to aquatic ecosystems (<500 m) was more strongly associated with land use/cover distribution than areas further away. Finally, we found that the strength of the association between aquatic ecosystems and land use/cover increased from 1938 to 1995, although the overall patterns were similar through time. Our results show that a more complete understanding is needed of the role of aquatic ecosystems on the distribution of land use/cover.