scholarly journals A Spatial Index for Identifying Opportunity Zones for Woody Cellulosic Conversion Facilities

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Xia Huang ◽  
James H. Perdue ◽  
Timothy M. Young
Keyword(s):  
Spatial Data ◽  
Family Income ◽  
Market Competition ◽  
Geographic Location ◽  
Forest Growth ◽  
Farm Income ◽  
Eastern United States ◽  
Landscape Index ◽  
Ownership Type ◽  
South Central

A challenge in the development of renewable energy is the ability to spatially assess the risk of feedstock supply to conversion facilities. Policy makers and investors need improved methods to identify the interactions associated with landscape features, socioeconomic conditions, and ownership patterns, and the influence these variables have on the geographic location of potential conversion facilities. This study estimated opportunity zones for woody cellulosic feedstocks based on landscape suitability and market competition for the resource. The study covered 13 Southern States which was a segment of a broader study that covered 33 Eastern United States which also included agricultural biomass. All spatial data were organized at the 5-digit zip code tabulation area (ZCTA). A landscape index was developed using factors such as forest land cover area, net forest growth, ownership type, population density, median family income, and farm income. A competition index was developed based on the annual growth-to-removal ratio and capacities of existing woody cellulosic conversion facilities. Combining the indices resulted in the identification of 592 ZCTAs that were considered highly desirable zones for woody cellulosic conversion facilities. These highly desirable zones were located in Central Mississippi, Northern Arkansas, South central Alabama, Southwest Georgia, Southeast Oklahoma, Southwest Kentucky, and Northwest Tennessee.

scholarly journals Structure and Migration in U.S. Blumeria graminis f. sp. tritici Populations

2016 ◽  
Vol 106 (3) ◽  
pp. 295-304 ◽  
Author(s):  
Christina Cowger ◽  
Ryan Parks ◽  
Evsey Kosman
Keyword(s):  
Ssr Markers ◽  
Large Scale ◽  
Isolation By Distance ◽  
Blumeria Graminis ◽  
Snp Markers ◽  
Eastern United States ◽  
Long Distance ◽  
Continental Scale ◽  
South Central ◽  
Haplotypic Diversity

While wheat powdery mildew occurs throughout the south-central and eastern United States, epidemics are especially damaging in the Mid-Atlantic states. The structure of the U.S. Blumeria graminis f. sp. tritici population was assessed based on a sample of 238 single-spored isolates. The isolates were collected from 16 locations in 12 states (18 site-years) as chasmothecial samples in 2003 or 2005, or as conidial samples in 2007 or 2010. DNA was evaluated using nine single nucleotide polymorphism (SNP) markers in four housekeeping genes, and 10 simple sequence repeat (SSR) markers. The SSR markers were variably polymorphic, with allele numbers ranging from 3 to 39 per locus. Genotypic diversity was high (210 haplotypes) and in eight of the site-years, every isolate had a different SSR genotype. SNP haplotypic diversity was lower; although 15 haplotypes were identified, the majority of isolates possessed one of two haplotypes. The chasmothecial samples showed no evidence of linkage disequilibrium (P = 0.36), while the conidial samples did (P = 0.001), but the two groups had nearly identical mean levels of genetic diversity, which was moderate. There was a weakly positive relationship between genetic distance and geographic distance (R2 = 0.25, P = 0.001), indicating modest isolation by distance. Most locations in the Mid-Atlantic and Great Lakes regions clustered together genetically, while Southeast locations formed a distinct but adjacent cluster; all of these were genetically separated from Southern Plains locations and an intermediate location in Kentucky. One-way migration was detected at a rate of approximately five individuals per generation from populations west of the Appalachian Mountains to those to the east, despite the fact that the Atlantic states experience more frequent and damaging wheat mildew epidemics. Overall, the evidence argues for a large-scale mosaic of overlapping populations that re-establish themselves from local sources, rather than continental-scale extinction and re-establishment, and a low rate of long-distance dispersal roughly from west to east, consistent with prevailing wind directions.

Help or resistance? Product market competition and water information disclosure: evidence from China

2019 ◽  
Vol 11 (5) ◽  
pp. 933-962
Author(s):  
Zhifang Zhou ◽  
Tao Zhang ◽  
Jiachun Chen ◽  
Huixiang Zeng ◽  
Xiaohong Chen
Keyword(s):  
Information Disclosure ◽  
Market Competition ◽  
Product Market ◽  
Product Market Competition ◽  
Competition Intensity ◽  
Ownership Type ◽  
Content Type ◽  
Industry Competition ◽  
The Government ◽  
The Relationship

Purpose This paper investigates the relationship between product market competition and firms’ water information disclosure and how firms’ ownership type can affect this relationship in China, offering new insights into corporate water management. Design/methodology/approach The authors investigated 303 Chinese listed companies in highly water-sensitive industries to examine how product market competition influences corporate water information disclosure by subdividing the product market competition into market competition at the firm level and the industry competition intensity at the industry level. Findings The results show that there exists an inverted U-shaped relationship between industry competition and water information disclosure; enterprises with the highest market power in a mildly competitive industry are more willing to voluntarily disclose water information and play an industry benchmarking role. Further tests demonstrate that the relationship between industry competition intensity and water information disclosure is stronger for state-owned enterprises than for private enterprises. Research limitations/implications The current water resources regulations in China are relatively lax and the water risk awareness of firms is weak, which may affect the applicability of the results. In addition, water information disclosure research is a relatively new field and a quantitative index system for water information disclosure is still in the exploratory stage. Further developments, including the selection, definition and measuring methods of a water index are required. Practical implications The authors developed a new direction of enterprise water management activities from the perspective of market competition. Based on the market conditions in China, the authors also investigated the impact of the ownership type of the enterprises on the relationship between market competition and water information disclosure. Social implications The authors suggested that the government should improve laws and regulations and adopt incentive mechanisms to encourage enterprises to implement water resource management. In addition, the government should encourage high market status enterprises to actively fulfill their environmental responsibilities so that the entire industry is encouraged to follow suit. Originality/value This study represents an important development in the field of environmental accounting and is the first research on corporate water information disclosure; it also extends the research on the influence mechanisms of market competition on the environmental management practices of enterprises.

scholarly journals Dissecting the Financial Relationship between Industry and Academic Neurosurgery

Neurosurgery ◽  
2020 ◽  
Author(s):  
Mustafa Motiwala ◽  
Michael J Herr ◽  
Sripraharsha S Jampana Raju ◽  
Jock Lillard ◽  
Sonia Ajmera ◽  
...  
Keyword(s):  
United States ◽  
New England ◽  
Geographic Location ◽  
Bimodal Distribution ◽  
The United States ◽  
Median Number ◽  
Career Stage ◽  
Entire Cohort ◽  
South Central ◽  
And Gender

Abstract BACKGROUND Established by the Centers for Medicare and Medicaid Services (CMS), the Open Payments Database (OPD) has reported industry payments to physicians since August 2013. OBJECTIVE To evaluate the frequency, type, and value of payments received by academic neurosurgeons in the United States over a 5-yr period (2014-2018). METHODS The OPD was queried for attending neurosurgeons from all neurosurgical training programs in the United States (n = 116). Information from the OPD was analyzed for the entire cohort as well as for comparative subgroup analyses, such as career stage, subspecialty, and geographic location. RESULTS Of all identified neurosurgeons, 1509 (95.0%) received some payment from industry between 2014 and 2018 for a total of 106 171 payments totaling $266 407 458.33. A bimodal distribution was observed for payment number and total value: 0 to 9 (n = 438) vs > 50 (n = 563) and 0-$1000 (n = 418) vs >$10 000 (n = 653), respectively. Royalty/License was the most common type of payment overall (59.6%; $158 723 550.57). The median number (40) and value ($8958.95) of payments were highest for mid-career surgeons. The South-Central region received the most money ($117 970 036.39) while New England received the greatest number of payments (29 423). Spine surgeons had the greatest median number (60) and dollar value ($20 551.27) of payments, while pediatric neurosurgeons received the least (8; $1108.29). Male neurosurgeons received a greater number (31) and value ($6395.80) of payments than their female counterparts (11, $1643.72). CONCLUSION From 2014 to 2018, payments to academic neurosurgeons have increased in number and value. Dollars received were dependent on geography, career stage, subspecialty and gender.

INCOME FROM VINEYARD FARMS ACCORDING TO ECONOMIC SIZE IN SELECTED EUROPEAN UNION COUNTRIES

2019 ◽  
Vol XXI (3) ◽  
pp. 277-286
Author(s):  
Mariusz Maciejczak ◽  
Tadeusz Filipiak ◽  
Massimo Gardinam
Keyword(s):  
European Union ◽  
Economies Of Scale ◽  
Family Income ◽  
Economies Of Scope ◽  
Farm Income ◽  
The European Union ◽  
Wine Production ◽  
Eu Countries ◽  
Wine Sector ◽  
Economic Size

The wine sector is of great importance for many national economies of EU countries. The European Union is a world leader in area under grape cultivation and wine production. The goal of the paper was to determine the profitability of farms specializing in winegrape production depending on economic size in selected EU countries in the years 2004-2016. In addition, the level of farm income per 1 ha of viticulture was determined, as well as the level of family income and the share of total subsidies in total income. Overall, it was found that there was an increase in income, however income increased along with economic size. In the examined period, growth was only observed from the fourth economic class (EUR 50-100 thousand). Additionally, the share of income subsidies under CAP decreased along with economic size. The conducted research gave light to information that could prove vital to adapt the European vineyard and wine sector to the opportunities and needs of the market, namely by taking into account the links between economies of scale and economies of scope.

The Factors Analysis about Comprehensive Utilization Effects of the Straws in the Huang-Huai Plain

2011 ◽  
Vol 361-363 ◽  
pp. 794-798
Author(s):  
Ying Quan ◽  
Ping Yang ◽  
Shi Jian Wu
Keyword(s):  
Family Income ◽  
Cost Effective ◽  
Farming System ◽  
Farm Income ◽  
Population Number ◽  
Industry Development ◽  
Comprehensive Utilization ◽  
Positive Effects ◽  
Political Conditions ◽  
The Cost

We established multiple regression models by on-site survey on 3090 famers’ family in 139 counties in 4 provinces in the Huang-Huai plain, comprehensively analyzing the factors which affect the utilization of farmer's straw. Research results indicate that, some factors such as family agricultural labor population number, and family income level, and masters’ political conditions, and duties in village, and education life, and straw using technology master situation, and straw using cognitive and farming area, and farming system, and straw subsidies, and straw industry development have positive effects on straw comprehensive utilization, while the factors like part-time work degree, and domestic livestock culture situation, and the cost-effective of using straw have negative effects on straw comprehensive utilization. These factors like straw subsidies, the cost-effective of using straw, straw using cognitive, straw utilization technology, family farm income, farm area have significant impact on farmer's straw utilization; masters’ political conditions, duties in village, education life, family livestock culture situation, straw industry development make little influences. To increase the level of farmer's straw comprehensive utilization, there are some measures to take: Party members and leaders of the village further play the exemplary role apart from raising the awareness of farmers on crop straw; conscientiously implement the State subsidy policies about straw; implement straw utilization technology innovation, actively promote straw utilization technology; promote the realization of straw resources and commercialization to improve farmers’ income.

Zoogeography and taxonomy of Dirofilaria scapiceps (Leidy, 1886) and D. uniformis Price, 1957 (Nematoda: Filarioidea) of lagomorphs in North America

1983 ◽  
Vol 61 (5) ◽  
pp. 1011-1022 ◽  
Author(s):  
Cheryl M. Bartlett
Keyword(s):  
United States ◽  
North America ◽  
Host Record ◽  
Sylvilagus Floridanus ◽  
Eastern United States ◽  
New Host ◽  
New Host Record ◽  
South Central ◽  
Central United States ◽  
Subcutaneous Tissues

Dirofilaria scapiceps (Leidy, 1886) was found in 62% of 404 Lepus americanus, 27% of 89 Sylvilagus floridanus, 13% of 31 Orytolagus cuniculus (domestic), 4% of 26 L. capensis, and none of 15 L. timidus, 2 L. californicus, and 50 L. townsendii collected in various regions of North America. Dirofilaria scapiceps in L. capensis is a new host record. The two species of Dirofilaria, D. scapiceps and D. uniformis Price, 1957, known from lagomorphs are redescribed. Dirofilaria scapiceps occurs predominantly in connective tissue surrounding tendons in the ankle region and rarely in intermuscular fascia near the knee joint of the hind leg; D. uniformis occurs in subcutaneous tissues of the trunk. Both D. scapiceps and D. uniformis are known only from lagomorphs in North America, D. scapiceps from L. americanus, L. capensis, S. floridanus, S. palustris and O. cuniculus and D. uniformis from S. floridanus, S. palustris and O. cuniculus. Dirofilaria scapiceps is present in lagomorphs in Alaska, Canada, eastern United States and Wyoming whereas D. uniformis is known only from lagomorphs in southeastern and south central United States. Dirofilaria uniformis may have evolved, through paedomorphosis, from D. scapiceps.

scholarly journals A Quest for Livelihood Sustainability? Patterns, Motives and Determinants of Non-Farm Income Diversification among Agricultural Households in Punjab, Pakistan

2021 ◽  
Vol 13 (16) ◽  
pp. 9084
Author(s):  
Muhammad Amjed Iqbal ◽  
Muhammad Rizwan ◽  
Azhar Abbas ◽  
Muhammad Sohail Amjad Makhdum ◽  
Rakhshanda Kousar ◽  
...  
Keyword(s):  
Low Income ◽  
Rural Areas ◽  
Social Protection ◽  
Family Income ◽  
Sampling Technique ◽  
Farm Income ◽  
Income Generation ◽  
Income Diversification ◽  
Farm Work ◽  
Agricultural Households

Many farmers worldwide resort to choosing various income-earning options for diversifying their income sources as a means of risk-avoidance, social protection, and, above all, to finance agricultural operations. Non-farm income generation among farm families has become an imperative part of livelihood earning strategies in recent years amid fast-evolving climatic and sociodemographic changes. In this regard, this study seeks to identify the patterns and socioeconomic factors responsible for the uptake of various non-farm income diversification sources among agricultural households in southern Punjab, Pakistan. For this purpose, a total of 290 farm households were sampled using a random sampling technique to collect relevant data through structured questionnaires. Results show that approximately 79% of the surveyed farmers were involved in non-farm income generation activities, whereas, the income from these sources accounts for about 15% of total household income. The majority of the respondents offered labour for off-farm work followed by self-employment ventures. The major reason to pursue non-farm work includes low income from agriculture, mitigating risks associated with farming, and acquiring funds to finance farming operations, along with the desire to increase family income. A range of socioeconomic and infrastructure-related variables are associated with the decision to participate in specific off-farm activity, such as age, education, family size, farm income, dependency burden, farming experience, and distance to the main city. Results imply the provision of technical support to increase livelihood from farming operations to ensure food security and curb rural-urban migration. However, vocational training can enhance the rural inhabitants’ skillset to diversify on the farm through agribusiness development within rural areas, enabling them to employ local people instead of populating urban centres.

scholarly journals Application of Huff model in analysing market competition – example of shopping centres in the settlement of Zadar

Geoadria ◽  
2017 ◽  
Vol 22 (1) ◽  
pp. 41
Author(s):  
Ivan Marić ◽  
Ante Šiljeg
Keyword(s):  
Spatial Data ◽  
Market Competition ◽  
Market Area ◽  
Competition Analysis ◽  
Shopping Centre ◽  
Trade Area ◽  
Shopping Centres ◽  
Potential Market ◽  
The Difference ◽  
Definition Of

The object of the research is market competition between the shopping centres in the settlement of Zadar. The research is based on the spatial data collected by using various methods and techniques, which were analysed by applying the tools of geographic information system (GIS) with respect to specific laws of market economy. A categorization of shopping centres was made in order to define a broad trade area where the competition between the centres was analysed. A demographic raster was used to define the density of potential consumers within a broad market area. The competition analysis included the determination of the centres’ market zones, the occurrence of potential market cannibalism and the definition of the dominant shopping centre according to a variable of choice probability. The market zones were determined based on the attribute of duration of drive (min). On-site research, calculation of non-linear distance and the analysis of shopping centres’ density, led to a conclusion that market cannibalism occurs between the centres. For the purpose of predicting market dominance, Huff model was used to calculate average values of preference of centres within the zones of overlapping and the broad trade area. The results of Huff model confirm the market reality that a larger number of consumers within the zones of overlapping and the broad trade area prefer a more attractive shopping centre. The difference in number of people that visit a more attractive shopping centre was quantified by overlapping the demographic raster and the Huff model.

scholarly journals Flowering Phenology of Eastern Filbert Blight-resistant Hazelnut Accessions in New Jersey

2014 ◽  
Vol 24 (2) ◽  
pp. 196-208 ◽  
Author(s):  
John M. Capik ◽  
Thomas J. Molnar
Keyword(s):  
New Jersey ◽  
Air Temperature ◽  
Geographic Location ◽  
Flowering Phenology ◽  
Eastern United States ◽  
Winter Climate ◽  
Nut Production ◽  
Anisogramma Anomala ◽  
Eastern Filbert Blight ◽  
Pollen Shed

Hazelnuts (Corylus sp.) are monoecious and wind-pollinated with reproduction limited by a sporophytic self-incompatibility system. They flower during the winter and are dichogamous with the dates of flowering ranging from December to March in New Jersey depending on the genotype, geographic location, and year. Successful, consistent nut production depends on both genetic compatibility and the appropriate timing of flowering between pollinizing and nut-producing cultivars. While the disease eastern filbert blight (EFB), caused by Anisogramma anomala, has severely limited past hazelnut production in the eastern United States, resistant and tolerant genotypes are now available for testing. However, little is known of their flowering phenology in this region. In this study, the flower and budbreak phenology of 19 different EFB-resistant and EFB-tolerant hazelnut accessions was evaluated over 4 years, and the results compared with air temperature data collected during bloom. Results showed that the accessions followed a similar progression of bloom each year (both staminate and pistillate flowers), which allowed their placement into early-, mid-, and late-flowering groups. However, the date of bloom and duration of bloom, especially for pollen shed, differed each year, largely corresponding to average air temperature trends. Confirming previous reports from other cold regions, it was shown that consistently colder average temperatures delayed bloom until later in the winter, which then led to a compressed period of flowering once temperatures warmed. In contrast, relatively warm temperatures over the season led to earlier flowering as well as a significant lengthening of the duration of bloom, similar to responses reported in Mediterranean climates. Our study documents hazelnut flowering phenology under New Jersey’s variable winter climate, and the results provide a benchmark for selecting suitable pollenizers and breeding parents for future nut production, flowering research, and/or genetic improvement in this region.

scholarly journals Peranan Faktor Struktur dalam Model Nilai Tanah: Kajian Kes Bandar Surabaya, Indonesia

2012 ◽  
Author(s):  
Hening Widi Oetomo ◽  
Ruslan Rainis
Keyword(s):  
Information System ◽  
Spatial Data ◽  
Geographical Information ◽  
Structural Factors ◽  
Land Value ◽  
Landscape Index ◽  
The Past ◽  
Land Transaction ◽  
Value Model ◽  
Structural Neighborhood

Model nilai tanah merupakan model untuk menaksir nilai tanah berdasarkan faktor-faktor yang dikenal pasti dapat mempengaruhi nilai tanah. Secara umum ada empat (4) kumpulan faktor yang mempengaruhi nilai tanah iaitu struktur, kejiranan, lokasi dan masa. Sebahagian besar daripada faktor ini memerlukan data ruangan yang dahulunya sukar dijana kerana kekurangan alatan yang sesuai. Perkembangan dalam sistem maklumat geografi (GIS) membolehkan berbagai-bagai jenis analisis ruangan yang diperlukan seperti pengkelasan semula, penindanan, pengukuran jarak dan kehampiran, kejiranan, rangkaian dan permukaan dapat dilakukan dengan lebih mudah. Kajian ini cuba membentuk satu model nilai tanah dengan memfokuskan kepada faktor struktur. Sebanyak empat pemboleh ubah struktur lot tanah diambil kira iaitu keluasan, lebar hadapan, indeks landskap (bentuk lot) dan arah orientasi. Kaedah statistik yang digunakan adalah analisis regresi terhadap sampel 148 transaksi lot tanah. Daripada analisis hanya dua pemboleh ubah iaitu luas dan bentuk lot signifikan pada tahap 0.05 dan berjaya menerangkan sebanyak 74% daripada variasi nilai tanah. Kata kunci: nilai tanah; GIS; faktor struktur A model of land value is a model to estimate land value based on factors identified to influence land value. Generally, there are four groups of factors that influence land value i.e. structural, neighborhood, location and time. Most of these factors need spatial data that were difficult to generate in the past due to the lack of appropriate tools. The recent development in Geographical Information System (GIS) enables the various spatial analysis such as reclassification, overlay, distance measurement and proximity, neighborhood, network and surface analysis to be a carried out with ease. This study attempts to develop a land value model with a particular focus on structural factors. Four structural factors were considered in the model namely size, width of frontage, landscape index (shape of lot) and orientation. The model was developed using multiple regression analysis based on a sample of 148 lots of land transaction. From the analysis, only two variables i.e. size and landscape index were statistically significant at 0.05 level and successfully explained 74% of the variation in land value. Key words: land value; GIS; structural factor

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