Добірка наукової літератури з теми "Local spill-over effects"

Abstract The aim of the paper is to analyse if and in which way specialization, geographical localization and spill-over effects affect resilience. The research is carried out using LLMAs (Local Labor Market Areas) as observational unit and spatial data analysis techniques (Anselin 1999, LeSage & Pace, 2009) in Italy. Resilience literature focalized its attention on regions. Despite this, there is no general agreement regarding the most appropriate observation unit. Our aim is not only to investigate the relationship between specialization and resilience at smaller scale using the LLMAs as observation unit but also to explore the spatial relationship among them. Results highlight a strong spatial correlation among LLMAs. As consequence resilience is not only influenced by specialization but also by geographical localization through spill-over effects. JEL Classifications: R10, R12, C23, C33 Spatial analysis; Resilience; Labor Market Area; Italy

With the rapid development of urbanization and industrialization in China, environmental issues have become an urgent problem, especially issues related to air, water, and solid-waste pollution. These pollutants pose threats to the health of the population and to that of communities and have a vicious influence on the healthcare system. Additionally, pollution also exhibits spill-over effects, which means that pollution in the local region could affect the healthcare services in a neighboring region. Therefore, it is necessary to explore the relationship between pollution and healthcare. A spatial autocorrelation analysis was conducted and spatial panel econometric models were constructed to explore the characteristics of pollution and healthcare services in China and the relationship between them using data on all 31 provinces over 12 consecutive years (2006–2017). The results showed that the utilization of healthcare services and environmental pollution were not randomly distributed; unsurprisingly, air pollution and solid-waste pollution were mainly found in parts of northern China, while water pollution was highest in southern and coastal China. In addition, environmental pollution exhibited spill-over effects on healthcare services. For example, a 1% increase in solid waste in one specific geographical unit was estimated to increase the inpatient visits per capita in adjacent counties by 0.559%. Specifically, pollution showed different degrees of influence on healthcare services, which means that the impact of environmental pollution on the number of outpatient visits is greater than on the number of inpatient visits. Our results provide the government with evidence for effectively formulating and promulgating policies, especially policies aimed at tackling spill-over effects among different regions.

Using the data of 23 industrial sectors in China, this paper constructs an industrial spatial weight matrix based on an input–output table and employs a spatial model to distinguish the spillover effects among industrial sectors and find sectors’ heterogeneity and connectivity on the decoupling system, to explore the specific driving power source for stable and deeper industrial decoupling. The results show that unstable industrial growth decoupling from energy consumption appears and differs in the capital–labor–resource-intensive sectors. Decoupling effects spill over from the neighboring sectors and act as a warning on decoupling in the local sector. Both technical progress and scale efficiency except technical efficiency play a driving role in deepening industrial decoupling in the local sector and spill out positive effects on the green development of the neighboring sector. Capital, as the substitute for energy both intra and inter sectors, facilitates decoupling as a driving factor, while obvious resistant force against decoupling is brought by foreign direct investment (FDI) and energy structure. Decoupling in resource-intensive sectors has great potential due to the positive effects from technology and scale efficiency improvement, which are substitute effects. Industrial decoupling in the labor-intensive sector, where low-skilled labor forms obstruction force against green decoupling, only benefits from the technological progress. FDI and scale efficiency dominate as driving sources for decoupling in the capital-intensive sector.

Background: During zoonotic disease shocks (ZDSs), zoonotic disease outbreaks (ZDOs) can induce public health scares (PHSs), causing meat price risks (MPRs). Nevertheless, spatial spillovers of zoonotic disease shocks in meat markets remain unclear. We explore how zoonotic disease outbreaks and public health scares locally and spatially spill over to meat price risks, and whether spatial spillovers of public health scares decay with distance. Methods: (i) We construct a long panel covering 30 provinces and 121 months, using highly pathogenic avian influenza (HPAI) epidemics as exogenous shocks in Chinese meat sector. (ii) We decompose zoonotic disease shocks into zoonotic disease outbreaks (objective incident) and public health scares (subjective information) and examine their spillovers to meat price risks. (iii) We identify distance-decaying spatial spillovers of public health scares, by running our dynamic SAR models 147 times, from 80 km to 3000 km with 20 km as incremental value, in a setting with risk-level heterogeneity. Results: (i) Zoonotic disease outbreaks themselves only cause local and neighboring meat price risks for high-risk meat, not for low-risk or substitute meat. (ii) Public health scares exacerbate local and neighboring meat price risks for high-risk and low-risk meat, and local meat price risks for substitute meat. (iii) Spatial spillovers of public health scares are distance-decaying and U-shaped, with four spatial attenuation boundaries, and distance turning point is shorter for high-risk meat (500 km) than for low-risk meat (800 km). Conclusions: We complement the literature by arguing that health scares induced by disease outbreaks negatively spill over to meat prices, with U-shaped distance-decaying spatial effects. This suggests low interregional spatial market integration in meat products, due to distance decay of nonstandardized information and local government control effects, across provincial boundaries. To the best of our knowledge, we are the first to document nonmonotonic distance decay of health scare effects on food prices, previously not found by the literature.

PurposeDespite the recent trend of off‐shoring branches of UK services industry to remote locations, urban theory has yet to enlist a theory of industrial rents that formally takes into account the properties of substitution between locations. The purpose of this paper is to elaborate on the Fujita, et al. model in order to develop theoretical foundations for a pricing theory of contemporary commercial real estate markets.Design/methodology/approachThe paper employs panel data methods for the simultaneous estimation of local market rent structures, which include a complex of spill‐over effects from all other parts of the national market. The estimations are based on time series of locally adjusted estimates of tenancy demand and supply proxies for 48 UK office centres. Influences from the entity of UK regions are considered by applying a variety of deterministic and stochastic structural variability tests. The estimated structures are subjected to multivariate co‐integration tests for an examination of the stability of structural differentials.FindingsThe paper appears to find considerable support to the hypothesis that rental spill‐overs exist across the network of office centres in the UK. It suggests that the structure of these markets is characterised by certain properties of substitution and complementarity that have generally been observed in a wide range of real consumer or producer markets. This finding is critical to the development of a policy theory for national planning, which takes into account the impacts of local planning policies on national aggregate economic welfare.Research limitations/implicationsThis analysis is limited by the unavailability of a coherent theoretical micro‐economic framework, which may be the focus of further research.Originality/valueThe focus of this paper is on offices and business services industry but the principles can be extended to include industrial space. The paper questions some of the central assumptions and methodological approaches used in existing industrial location theory. It proposes a model that considers location pricing and allocation in relation to strategies to improve the spatial organisation of multinational services firms.

Research shows that exposure to local neighborhood violence is associated with students’ behavior and engagement in the classroom. Given the social nature of schooling, these symptoms not only affect individual students but have the potential to spill over and influence their classmates’ learning, as well. In this study, I use detailed administrative data from five complete cohorts of students in the Chicago Public Schools (2002 to 2010), crime data from the Chicago Police Department, and school-level surveys conducted by the University of Chicago Consortium on Chicago School Research to assess the strength of this peer effect. The estimated negative relationship between peer exposure to neighborhood violent crime and individual achievement is substantial and remains after adjusting for other peer characteristics and student fixed effects. Surveys suggest these results are related to trust, discipline, and safety concerns in cohorts with larger proportions of students from violent neighborhoods.

Many countries strive to attract foreign direct investment (FDI) hoping that knowledge brought by multinationals will spill over to domestic industries and increase their productivity. In contrast with earlier literature that failed to find positive intraindustry spillovers from FDI, this study focuses on effects operating across industries. The analysis, based on firm-level data from Lithuania, produces evidence consistent with positive productivity spillovers from FDI taking place through contacts between foreign affiliates and their local suppliers in upstream sectors. The data indicate that spillovers are associated with projects with shared domestic and foreign ownership but not with fully owned foreign investments.

ABSTRACT On April 27, 1986, about 75,000 to 100,000 barrels of medium-weight crude oil spilled into the Caribbean Sea from a refinery in Bahía Las Minas, Panama. After weathering for 13 days in warm, sunny conditions, the oil reached the intertidal reef flat and biological reserve at Punta Galeta, which had been under study since the early 1970's. The pre-spill data base consisted of detailed, time-series monitoring of sessile biota on the reef flat in relation to changes in sea and weather conditions. To assess the effects of the oil, this monitoring was expanded to other sites and continued after the oil spill. Within the resolution of our measurements, most detectable mortality of the sessile biota occurred in specific zones of the reef flats where factors such as winds, waves, water levels, and topography caused the oil to accumulate. Where the oil floated over the reef flats without prolonged accumulation, little mortality was recorded. The sessile biota regenerated from fragments surviving in place or washing in from nearby habitats, and the regeneration times ranged from less than one year to more than five years. For the sessile biota, there appeared to be no recolonization via planktonic larvae or spores. The fastest regeneration times were for species that propagated from fragments that survived in place; the slowest were for species that suffered nearly 100 percent mortality and recolonized from fragments washing in from subtidal habitats. Because regeneration of sessile species on tropical reef flats depends on regrowth from local survivors, control and cleanup of oil spills in these environments should be designed to maximize the survival of resident populations.

Abstract This paper analyzes how development cooperation can actively support democratic governance through cooperation in the water sector. To answer this question, we develop an analytical approach based on democratization research and on water governance research. We tested the approach in three donor-supported water projects in Morocco and carried out over seventy interviews with key stakeholders. Our findings show (a) key factors influencing the scope for external support for democratic governance in the water sector, (b) potential negative effects of the support when local elites grasp new resources, and (c) unintended positive spill-over effects of water projects on democratic governance within and beyond the sector (for instance, strengthening formerly marginalized groups). As these empirical findings suggest, there is a potentially large scope of action for supporting democratic governance through water sector cooperation. We therefore highlight the need for more analytical and empirical research on causal interlinkages between these two fields of intervention.

In this paper we discuss the capabilities of input-output tables for obtaining the estimates of system effects generated by interregional interactions in the hierarchically organized space. Two options of integrating the concepts of interregional interactions and central place are presented, one of which implies the a priori, the other – the a posteriori solution to the problem of identifying (constructing) a market hierarchy. While the first one is used only in situations when the system effects are reduced to the spill-over of economic activity from the periphery to the center, the second one is used in more general situations when the system effects include not only spill-over effects but also the feedback effects. We consider the feedback loop input-output analysis, which allows us to get a posteriori estimates of regions distribution by the levels of spatial hierarchy. And determine that it had varying effectiveness for the cases of Japan and Russia. In accordance with the existing methods of decomposition of spatial multipliers the system effects of interregional interactions are determined, on the one hand, as a residual multiplier effect obtained after identifying the effects of intra-regional interactions, on the other hand, as a result of superposition of the effects of interregional interactions within the framework of dyads, triads, tetrads, etc. composed of regions. In order to obtain estimates of the system effects generated by interactions on markets of different levels (provided that these levels are identified), we propose the method of localizable partition, organizing the calculation of the structural blocks of spatial multipliers in the ‘from the general to the particular’ logic (from the system effects of interactions on the national market to the effects of interactions on local markets). On the basis of this method, we estimate the size and structure of the system effects absorbed by the economies of the three central regions of Japan (Kanto, Chubu, Kinki), which form the core of the national economic space

Overall, this thesis seeks to explore – using three case studies - the environmental and economic influences and outcomes of on-farm natural capital in the Australian agricultural landscape over space and time. In particular, it explored: 1) the spatial influences on the adoption of certified organic farming (which is used as a proxy indicator of natural capital conservation technologies) at a regional level in Australia using agricultural census data from 2010/11 and 2015/16; 2) the association between the presence of certified organic farming and regional biodiversity at the postcode level over sixteen years in South Australia; and 3) the association between farm land value and natural capital in the forms of native woody vegetation coverage and climate in South Australia over sixteen years. The first case study focused on Australia as a whole and modelled farmers’ adoption behaviour of certified organic farming (using it as a proxy for sustainable agriculture technologies to conserve on-farm natural capital such as soil, water, and biodiversity). Spatial diffusion of organic farming represents an interesting case study, given the large amount of skills and knowledge regarding management of natural resources that organic farmers need to apply/learn for their farms’ viability. Although farmers’ adoption and diffusion behaviour is well studied in the literature, modelling of the role of spatial spill-over effects on diffusion intensity, especially in regards to the adoption of organic farming, is not well known. This thesis uses national Australian agricultural census data from 2010/11 and 2015/16 and a SLX Tobit model (N=2,134) to model the influences on the intensity of the diffusion of organic farming (namely percentage of organic land holding) in regional areas, and found statistically significant local spatial spill-over effects from neighbouring regions’ characteristics. In addition, a higher share of organic farmland in regions is associated with regional characteristics such as: larger irrigated farms; lower stocking rates; increased proportion of grazing and horticultural land; increased labour supply; increased green vegetation; rural areas with low human population density; and higher community income. The second study explored the associations between farmers’ land use behaviour (i.e. the extent of certified organic farming in a region) and regional biodiversity outcomes (vascular plant and bird species richness) at the postcode level. This study put together a new dataset on certified organic farming presence and locations in South Australia, using databases from organic certifiers. The spatial association between biodiversity indicators and organic farming was analysed using a spatial Durbin error model, while controlling for the effects of landscape attributes, human population footprint, climate and productivity from 2001 to 2016 (N=5,456) in South Australia. The results found that increased organic farming presence in postcode areas had a statistically significant positive association with vascular plant species richness, but little to no statistically significant association was found for bird species richness. Environmental heterogeneity in terms of land cover diversity, elevation range, and plant productivity seems to be the other prime determinants of plant and bird species richness. The third study focused on the association between native woody vegetation on agricultural properties and their economic values in South Australia, using both sales and valuation prices of agricultural properties from 1998 to 2013 (N=10,513). Findings from the spatio-temporal Durbin model revealed that the presence of native woody vegetation on agricultural properties significantly increased the per hectare market price (i.e. price sold in the market), but at a decreasing rate as the proportion of vegetation increased. The marginal return of vegetation was highest for small size properties and lowest for larger properties. In addition, the direct effects of increased annual rainfall, increased soil natural productivity, increased market accessibility, proximity to locational amenities, smaller size properties, availability of irrigation, and higher commodity price were also positively capitalised into sales prices. On the other hand, increased drought and high soil erodibility significantly reduced per hectare sales prices. Comparing valuation price models with sales price models, it was found that the valuation prices seem to undervalue the presence of native vegetation on agricultural properties and hence provide weaker evidence of the value of on-farm natural capital in the South Australian context.
Thesis (Ph.D.) -- University of Adelaide, Centre for Global Food and Resources, 2021

The chapter examines the implications of the key international research findings of the last two decades for our understanding of why worker co-operatives are created, the objectives pursued by founding and subsequent members and the spill-over effects of their performance for the communities in which the firms are found. The chapter argues that worker co-operatives, by providing institutions in which employees control most aspects of their job and firm strategy (including pay and employment trade-offs) internalise a number of externalities to the conventional operation of firms. They provide good, stable jobs in which employees’ potential and creativity can flourish. In addition to promoting economic democracy, worker co-operatives offer sustainable and local employment and are likely to have a number of positive effects on their communities’ economies, public finances and health.

A review of corporate tax policy in the Netherlands is provided, focusing in particular on international aspects and corporate tax competition. Empirical evidence shows that corporate tax policy is important and that it determines the international location of investment and profits of multinational enterprises (MNEs). In terms of tax policy instruments, especially low statutory corporate tax rates—more than narrow tax base definitions—attract internationally mobile business and profits. In addition, ‘smart tax competition’ elements of the Dutch tax system, such as the ‘innovation box’ and generous research and development (R&D) tax credits, help to attract R&D investments that may exert positive spill-over effects on the local economy. Recent tightening of anti-profit-shifting provisions through the European Union’s Anti-Tax Avoidance Directive (ATAD) and the OECD’s Base Erosion and Profit Shifting (BEPS) have not eliminated the incentives to engage in corporate tax competition, and the associated detrimental welfare effects, in consequence, prevail. If appropriately designed, further corporate tax policy coordination will likely be beneficial from a global and a Dutch perspective.

On the evening of 15 February 1996, the 147,000 tonne tanker Sea Empress ran aground on rocks at the entrance to Milford Haven harbour in south-west Wales. (The ship’s pilot, it later emerged, had been making his first ever solo attempt at the manoeuvre.) Over the next week, 72,000 tonnes of crude oil and 360 tonnes of heavy fuel oil seeped from the wreck into the sea, contaminating 200 kilometres of the Welsh coastline, much of it part of the exceptionally beautiful and ecologically diverse Pembrokeshire Coast National Park. More than 50,000 birds were killed or injured. The devastating effects of the Sea Empress disaster weren’t confined, however, to the flora and fauna of the National Park. In the wake of the oil spill, local people found themselves experiencing a range of health problems, including headaches, nausea, and skin irritation. And yet when we look closely at these accounts, something curious emerges. The first symptoms were reported as early as the first day of the incident. But at that stage very little oil had escaped from the wrecked tanker. Whatever was causing these first headaches and feelings of nausea, it wasn’t the Sea Empress. Indeed, people living on stretches of the coast that were entirely unaffected by the spill also complained of symptoms. How do we explain physical symptoms without an obvious physical cause? In the case of the Sea Empress disaster, it’s likely that they were the direct result of anxiety. It’s an established formula. Take one catastrophe, add extensive media coverage, and watch public anxiety grow. Think back, for example, to the anthrax scares that swept the US in September and October 2001. During these weeks, letters containing anthrax spores were sent to a number of senators and media organizations. Five people died and a further seventeen were also infected. (To date, the case is still unsolved.) With anxiety in the US already ratcheted to unprecedented levels by the September 11 attacks, hundreds of people soon began reporting that they too had been the victims of anthrax poisoning, with many complaining of symptoms.

With the recent exploration/discovery of deep-water reservoirs andcontinued developments of drilling and production, it remains very important to have a comprehensive and quantitative risk assessment ofthe drilling/production processes including effective response to deal with such disasters. What measures must be taken to recover from the disaster scenario of a hurricane impacting the same region in the aftermath of an oil spill? The Deepwater Horizon oil spill, the largest marine oil spill in history, was caused by an explosion on a semi-submersible drilling rig about 50 miles southeast of the Mississippi River delta on April 20, 2010. Catastrophic events such as oil spills have enormous impact for the local economy of the area and even for the local labor markets. Another regional disaster, Hurricane Katrina impacted Louisiana, Mississippi, and Alabama, as it ripped over the core of the Gulf of Mexico (GoM) producing zone, one of the important oil and gas production areas of the worldin 2005. Also, if acatastrophic disaster occurs and the emergency response supply chain is not adequately prepared, then the economic consequences of sucheventcan be huge. Whenever a disaster happens, another reaction to this event that should be considered is resiliency. It is the ability to reduce or remove potential losses due to disaster events. The impact of different shocks on various aspects of a state’s economic performance is estimated using a Vector Autoregressive model (VAR). In this study, the dynamic response of a variety of industrial sectors in Louisiana to each of these disasters is considered. The responses of different impulses in this model are shown to demonstrate the interdependence of various time series data.

Over a period of time, a tier of mostly middle-income developing countries has developed a considerable pharmaceutical and vaccine production capacity. However, outcomes have not always been positive for domestic manufacturers in developing countries. Economic and health lessons learned from vaccine manufacturing in developing countries include challenges and positive spill-over effects. Evidence for this rapid review is taken from the south and southeast Asia (India, Indonesia, Thailand, Vietnam), and Latin America (Brazil, Cuba, Mexico). Although data on locally manufactured drugs on the balance of trade was available, this was not readily available for vaccine manufacturing. The evidence used in this review was taken from grey and academic literature, as well as interviews with economic specialists. Although market reports on vaccine production are available for most of these countries, their data is not in the public domain.