High Growth Regions Research Articles

Are Common Factors the Main Drivers of House Market Boom in China? A Short- and Long-Term Perspective

This paper investigates the house price dynamics across 30 regions in China and explores whether common factors or regional factors are the main drivers of house market movements from a short- and long-term perspective. From a short-term perspective, we employ a dynamic factor model and reveal the common factors to be the main drivers, especially in high-growth regions. This is consistent with the conclusion of long-run house price convergence test. Our results also underscore the need for targeted monetary policies, particularly in high-growth regions, to maintain the stability of house market in China.

‘The theatre was dark’: exploring regional Australian theatre’s resilient response to COVID-19

ABSTRACT After unprecedented events, such as the COVID-19 pandemic, organisations reflect on their responses. In this research, we explore how regional creative industries responded to the pandemic to inform future strategies, government and council policies, and crisis responses. This article explores how community and fringe theatres, known for their community connections, responded to the pandemic in several high-growth regions in Queensland, Australia. Much like the general community, these theatres responded and were impacted differently; some felt little impact, while others were severely financially and creatively impacted. While they all had to adapt, the fringe theatres were more likely to further innovate.

Investigating non-point pollution mitigation strategies in response to changing environments: A cross-regional study in China and Germany

Climate change and urbanization have altered regional hydro-environments. Yet, the impact of future changes on the pollution risk and associated mitigation strategies requires further exploration. This study proposed a hydraulic and water-quality modeling framework, to investigate the spatiotemporal characteristics of pollution risk mitigation by low impact development (LID) strategies under future Representative Concentration Pathways (RCP) and Shared Socioeconomic Pathways (SSP) scenarios. Results demonstrated that the LID strategies exhibited an effective performance of pollutant removal in the current hydro-environment, with the removal rates ranging from 33% to 56%. In future climate and urbanization scenarios, the LID performance declined and turned to be uncertain as the greenhouse gas (GHG) emissions increased, with the removal rates ranging from 12% to 59%. Scenario analysis suggested that the LID performance was enhanced by a maximum of 73% through the diversified implementation of LID practices, and the performance uncertainty was reduced by a maximum of 67% through the increased LID deployment. In addition, comparative analysis revealed that the LID strategies in a well-developed region (Dresden, Germany) were more resilient in response to changing environments, while the LID strategy in a high-growth region (Chaohu, China) exhibited a better pollutant removal performance under low-GHG scenarios. The methods and findings in this study could provide additional insights into sustainable water quality management in response to climate change and urbanization.

The future of our suburbs: Analyses of heatwave vulnerability in a planned estate

AbstractPlanned estates may be a solution to housing demand and affordability in high growth regions. As a result, planned estate research has tended to focus on privatisation, social engineering of communities by developers, and social polarisation. Heatwave research has focused on measuring and mitigating the impact of such events on disadvantaged communities. However, these two research streams have not been combined to examine how planned estate residents may be vulnerable to heatwaves. We address that gap by considering past, current, and future heatwave impacts; identifying underlying processes governing the vulnerability of planned estates to heatwaves; and reflecting on the implications for the sustainability of planned estates in relation to future heatwave risk. We adopt a mixed‐methods approach using the case of the Jordan Springs estate in Western Sydney, Australia, and that work is underpinned by systems approaches embedded in sustainability science. We find that Jordan Springs is physically vulnerable to heatwaves due to characteristics in its built environment. Human vulnerability is complex: rooted in multiscalar socio‐economic and systemic processes both internal and external to the estate. We suggest resilience be increased to improve estate liveability and sustainability by retrofitting the built environment, improving urban greening, broadening consumer awareness, and modifying development processes.

Effects of Oil Price Shocks on Heterogeneous Regional Economies: The Case of China

This paper conducts VAR model to investigate the different impacts of international oil price shocks on Chinese regional economies heterogeneous in terms of economic growth and income level. The results of impulse responses analysis imply that impacts of oil price shocks on CPI-inflation are not the same across regions even though the overall result is similar with those for national economy: the positive oil price shocks first increase the CPI-inflation, and then lower the CPI-inflation. However, the different impacts are not strongly related with the types of heterogeneity under consideration. The results also show that the different impacts of positive crude oil price shocks on GDP growth have a certain correlation with regional heterogeneity: the impact on GDP growth in low-growth regions lasts longer than that in high-growth regions, and the impact of crude oil price shocks on the GDP growth of Beijing and Shanghai is strongest in the first quarter, earlier than other regions with relatively low income levels. We conclude that Chinese government aims at improving economic growth must not ignore the unique economic characteristics of each province, otherwise it may have unnecessary consequences.

Sumatera Utara: Pengembangan Potensi Daerah dalam Dikotomi Spasial dan Non Spasial

North Sumatera is a province with various characteristics, both spatial and non -spatial. For many years there has been a debate about the large spatial gaps in development exist in North Sumatera. In this paper, the province is divided into four groups. The allocation of a regency into a group based on two dichotomies. Firstly, the spatial dichotomy between the regencies near Lake Toba and outside the lake area. Secondly, the economic development dichotomy among the regions of North Sumatera. The method to determine high or low growth region was Typology Klassen. The result is two region near the Lake Toba are high growth regions, however five of them are still stated as low growth regions. Meanwhile, for the regions outside Lake Toba, six of them are high growth regions and eight of them are still in the low growth regions. In order to improve the economic growth of every region, it is important to promote and develop strategic local.

Iron bubbles

Financial bubbles are generally understood retrospectively as ruptures or bursts, indexing some form of radical change. Conversely, this article proposes that when engaged ethnographically, bubbles are premised upon a collectively imagined continuity. Empirically, I unpack investment rationales in the wake of a local resource boom in a high-growth region in Inner Mongolia. Among interlocutors, anticipated price increases in property investments were not considered as speculation; investments were not hopes of a radically different future. Rather, they were imaginative ways of pulling a future of continuous growth into the present. What I relate as a present continuous . I argue that optimism understood through this temporal sensibility does not serve to freeze time but instead dictates continuity as the only possible kind of change. Finally, I suggest that collective efforts to adhere to the temporality of the bubble were also actively contributing to its collapse.

A Flame Structure Approach for Controlling Carbon Nanotube Growth in Flame Synthesis

ABSTRACT Flame synthesis of carbon nanotube (CNT) is still not commercialized due to the difficult control over CNT growth region in heterogeneous flame environment. In the present study, a model for flame synthesis of CNT that is capable of predicting CNT growth region is developed using a coupled computation of a computational fluid dynamics (CFD) flame model and a CNT growth rate model. The CFD results serve as input for the growth rate model to calculate CNT length and to generate flame structures that feature high CNT growth regions. Validation of the flame model, CNT growth model, and multi-scale model of flame synthesis is done with good accuracy. In the baseline case, the mixture fraction-based flame structures at various flame heights interestingly suggest a fixed range of mixture fraction of 0.46 to 0.85 within the growth region. The said finding indicates that mixture fraction governs the growth region in a diffusion flame. Almost twofold increase in the size of CNT growth region in physical space is observed when the inlet oxygen composition is increased from 25 to 35%. The increase in heat release of the rich flame at high oxygen concentration provides a wider region of high temperature for growth compared to that at low oxygen concentration.

Analyzing the driving and dragging force in China’s inter-provincial migration flows

In China, the evolution of inter-provincial migration patterns is from policy orientation to individual selection and hotspot attraction during 1950–2010. These years, China’s abundant regional labor flow brings prosperity to several famous high-growth regions, but also causes the problem of unbalanced development. It needs systematic analysis to do effective guidance and management of population mobility. This paper tries to analyze the driving and dragging force in China’s inter-provincial migration flows with improved multilateral migration model stemming from individual behavior of potential migrants. It revealed the problem of imbalanced regional labor flow has been exacerbated in China since the 1990s, and the driving force for typical hotspots is different, as high income force for Beijing, Shanghai, and low barrier for Guangzhou, Zhejiang. The results of analyzing indicates the the distinct regional mobility barriers help to alleviate the problem of labor loss in some provinces since 1980s, but the regional imbalance in population migration continues to grow in recent years. Finally, with regression, we reveal the essential element affecting regional mobility barriers, and it could explain 70.8% of the influence factors. It also suggests that, for the provinces with labor loss, improving economic, welfare environment will mitigate the problem effectively.

Economic Disparity Analysis for Inter-Districts / Cities In South Kalimantan Province

The study purpose is to analyze the economic development disparity and economic growth pattern and structure of inter districts / cities in South Kalimantan for 2010-2015 periods. The secondary data from years 2010-2015 were obtained from Statistics of South Kalimantan. Analysis of economic level of development disparity inter-districts / cities was conducted by Williamson index. The classification of economic growth patterns and structure is analyzed by Klassen Typology. The results showed the disparity for 2010-2015 periods tends to decrease in presence or absence of mining and excavation sectors, but the disparity within mining sector and excavation sectors have Williamson index higher at 0.513 than Williamson Index without the mining sector and excavation sectors at 0.310. The Typology Klassen analysis shows that Fast and high-growth regions are Tapin and Balangan districts, Advanced but depressed regions are Kotabaru, Tabalong and Tanah Bumbu districts, Fast growth regions are Hulu Sungai Selatan, Hulu Sungai Utara, Banjarmasin and Banjarbaru districts and relatively Underdeveloped regions are Tanah Laut, Banjar, Barito Kuala and Hulu Sungai Tengah districts. Keywords : Economic Development, Disparity, Klassen Typology DOI : 10.7176/EJBM/11-10-11 Publication date : April 30 th 2019

Innovative Approaches to Collaborative Groundwater Governance in the United States: Case Studies from Three High-Growth Regions in the Sun Belt.

Groundwater is an increasingly important source of freshwater, especially where surface water resources are fully or over-allocated or becoming less reliable due to climate change. Groundwater reliance has created new challenges for sustainable management. This article examines how regional groundwater users coordinate and collaborate to manage shared groundwater resources, including attention to what drives collaboration. To identify and illustrate these facets, this article examines three geographically diverse cases of groundwater governance and management from the United States Sun Belt: Orange County Water District in southern California; Prescott Active Management Area in north-central Arizona; and the Central Florida Water Initiative in central Florida. These regions have different surface water laws, groundwater allocation and management laws and regulations, demographics, economics, topographies, and climate. These cases were selected because the Sun Belt faces similar pressures on groundwater due tohistorical and projected population growth and limited availability of usable surface water supplies. Collectively, they demonstrate groundwater governance trends in the United States, and illustrate distinctive features of regional groundwater management strategies. Our research shows how geophysical realities and state-level legislation have enabled and/or stimulated regions to develop groundwater management plans and strategies to address the specific issues associated with their groundwater resources. We find that litigation involvement and avoidance, along with the need to finance projects, are additional drivers of regional collaboration to manage groundwater. This case study underscores the importance of regionally coordinated and sustained efforts to address serious groundwater utilization challenges faced by the regions studied and around the world.

High resolution remote sensing, GIS and Google Earth for avocado fruit quality mapping and tree number auditing

Satellite imagery, Geographical Information Systems (GIS) and Google Earth were demonstrated as effective tools for tree auditing and for defining the spatial variability of tree condition across two commercial 'Hass' Avocado blocks in Childers, Australia. Using a classified normalised difference vegetation index (NDVI) map derived from a WorldView2 image captured on April 19th 2013, and then repeated May 29th 2014, three replicate trees within high, mid and low growth regions were selected from each block. The annual harvest of these trees was conducted on May 21st 2013 and May 7th 2014, along with measures of leaf fluorescence and SPAD. Fruit quality measures were also conducted post-harvest. Spectral information corresponding to each of the sampled tree canopies was extracted and used to derive a number of pigment and structural based vegetation indices. These indices were correlated against the measured fruit and tree parameters, resulting in strong correlations with average fruit weight (g) (R=0.86∗ ∗, P=0.0001, RMSE=14.7 g); % commercial yield (R=0.71∗ ∗, P= <0.0001, RMSE=13.2%); Fm/Fv (R= -0.67∗ ∗, P= <0.0001) and SPAD (R=0.67∗ ∗, P= <0.0001). Using algorithms produced from the linear relationships between the measured parameters and the derived vegetation indices, maps representing the spatial and temporal distribution of each of the parameters were developed. This information supports improved tree management and harvest segregation based on fruit size. For the auditing of tree numbers, a more exact method for calculating orchard area and tree density was examined that increased the prediction accuracy of one orchard from 90.4 to 97.3%. The development of a spatial database that incorporated individual trees within an orchard was also investigated. At the regional level an accurate inventory of trees supports improved handling, marketing and forward selling decisions; whilst at the orchard level, would offer more efficient data recording and enhanced 'paddock to plate' traceability.

Anti‐Immigrant Prejudice in Rising East Asia: A Stereotype Content and Integrated Threat Analysis

Immigration is a global phenomenon, yet comparatively few psychological investigations of anti‐immigrant prejudice have been conducted in East Asia, a region of high economic growth that is set to become a leading destination for international migrants. Over two studies, we examined Singaporean attitudes towards four prominent immigrant groups: Chinese, Filipino, South Asian, and Western immigrants. Each immigrant group was found to be associated with a unique attitudinal profile. Chinese immigrants, who are culturally the most closely related to most Singaporeans, were viewed the most negatively in terms of prejudice, stereotyped warmth, and realistic and symbolic threat. Westerners were viewed the most positively despite higher ratings of perceived competence, possibly due to Western cultural influence, whereas South Asians and Filipinos were viewed as being relatively unthreatening, possibly due to their occupation of undesirable social roles. Perceived threat—both realistic and symbolic—proved to be stronger predictors of anti‐immigrant prejudice than stereotypes. Implications for immigration policy in the region are discussed.

Mapping Longitudinal Development of Local Cortical Gyrification in Infants from Birth to 2 Years of Age

Human cortical folding is believed to correlate with cognitive functions. This likely correlation may have something to do with why abnormalities of cortical folding have been found in many neurodevelopmental disorders. However, little is known about how cortical gyrification, the cortical folding process, develops in the first 2 years of life, a period of dynamic and regionally heterogeneous cortex growth. In this article, we show how we developed a novel infant-specific method for mapping longitudinal development of local cortical gyrification in infants. By using this method, via 219 longitudinal 3T magnetic resonance imaging scans from 73 healthy infants, we systemically and quantitatively characterized for the first time the longitudinal cortical global gyrification index (GI) and local GI (LGI) development in the first 2 years of life. We found that the cortical GI had age-related and marked development, with 16.1% increase in the first year and 6.6% increase in the second year. We also found marked and regionally heterogeneous cortical LGI development in the first 2 years of life, with the high-growth regions located in the association cortex, whereas the low-growth regions located in sensorimotor, auditory, and visual cortices. Meanwhile, we also showed that LGI growth in most cortical regions was positively correlated with the brain volume growth, which is particularly significant in the prefrontal cortex in the first year. In addition, we observed gender differences in both cortical GIs and LGIs in the first 2 years, with the males having larger GIs than females at 2 years of age. This study provides valuable information on normal cortical folding development in infancy and early childhood.

Q&amp;A with Norman Gilsdorf, President, High Growth Regions for Russia, Central Asia, and Middle East, Honeywell International

Q&amp;A You were appointed to your new position last year. Can you tell us about your new role? Honeywell recently made the decision to place more focus and emphasis on the Russian, Central Asia, and Middle Eastern markets. In order to do this, we wanted to employ a similar strategy to what we did in China 6 years ago—putting in place a leader who would be able to integrate all of our businesses and help with positioning Honey well with customers and partners in these markets. What are Honeywell’s recent offerings for the oil and gas industry? Honeywell and its various subsidiaries offer a variety of products and solutions. UOP, a Honeywell subsidiary, recently acquired the US company Thomas Russell. This acquisition allows us to offer solutions to enable companies to deploy modular-packaged equipment units to remove gas contaminants and capture higher valued natural gas liquids such as liquefied petroleum gas (LPG). This is very interesting technology for stranded gas or gas that is in dispersed reservoirs such as shale gas and shale oil, which can be challenging to monetize otherwise. UOP also recently launched a new heavy oil technology for upgrading residue and the UOP methanol-to-olefins technology is seeing a lot of demand in areas with methane, particularly in places such as China. Overall, UOP continues to have technologies for gas processing, including membranes to remove CO2 and other contaminants. On the automation advancement side, process solution developers such as Honeywell Process Solutions, in collaboration with oil companies, have made significant efforts to develop oil fields of the future, or smart fields. This will allow companies to be able to gather data from different wells and resources, allowing for more efficient management. For example, our software platform sits above the plant level and connects the plant through the enterprise resource planning system, allowing for safer operations and lower costs. It can also help the operator work smarter and more effectively. Do you think that the recent shale revolution in the US will affect the Middle East? I think it has already had an effect in the Middle East through its impact on the US market. Five years ago, several major US downstream players were in the process of backing down on production facilities in the US and were considering joint ventures and partnerships to build facilities in the Middle East or China. What is happening as a result of the shift toward shale is that several of these players have revived their operations the US, not just restarting their facilities, but also building new facilities.

ABSORPTIVE CAPACITY, KNOWLEDGE FLOWS, AND INNOVATION IN U.S. METROPOLITAN AREAS

ABSTRACTHigh growth and progressive regions possess a culture that promotes innovation. Innovation depends on a region's ability to use its own existing knowledge and knowledge generated elsewhere. This paper demonstrates the importance of the ability to absorb external knowledge in explaining innovation productivity for 106 U.S. metropolitan areas. Using a spatial interaction model of patent citation flows with origin and destination dependence, the destination fixed‐effects coefficients provides a measure of a region's absorptive capacity. We identify local conditions that shape a region's absorptive capacity and demonstrate it has a positive and significant impact on innovation productivity.

Absorptive Capacity, Knowledge Flows and Innovation in US Metropolitan Areas

High growth and progressive regions possess a culture that promotes innovation. Innovation depends on a region’s ability to use its own existing knowledge and knowledge generated elsewhere. This paper demonstrates the importance of the ability to absorb external knowledge in explaining innovation productivity for US metropolitan areas. Our measure of absorptive capacity, derived from a knowledge flow model, has a positive and significant impact on innovation productivity. We identify local conditions that shape a region’s absorptive capacity. We also contribute to the knowledge flow literature by providing a precise estimate of the geographical area within which knowledge generated in one region positively affects others, and showing that resistance to regional knowledge flows are influenced by the sizes of the regions.

Persistent organochlorine pesticides in serum and risk of Parkinson disease

Pesticides have been implicated as likely environmental risk factors for Parkinson disease (PD), but assessment of past exposure to pesticides can be difficult. No prior studies of pesticide exposure and PD used biomarkers of exposure collected before the onset of PD. Our investigation examined the association between prospective serum biomarkers of organochlorine pesticides and PD. We conducted a nested case-control study within the Finnish Mobile Clinic Health Examination Survey, with serum samples collected during 1968-1972, and analyzed in 2005-2007 for organochlorine pesticides. Incident PD cases were identified through the Social Insurance Institution's nationwide registry and were confirmed by review of medical records (n = 101). Controls (n = 349) were matched for age, sex, municipality, and vital status. Adjusted odds ratios (ORs) of PD were estimated using logistic regression. Little association emerged with a summary score of the 5 organochlorine pesticides found at high levels, and only increasing dieldrin concentrations trended toward a higher risk of PD (OR per interquartile range [IQR] 1.28, 95% confidence interval [CI] 0.97-1.69, p = 0.08). Because of possible strong confounding by cigarette smoking among smokers, we ran additional analyses restricted to never smokers (n = 68 cases, 183 controls). In these analyses, increasing dieldrin concentrations were associated with increased odds of PD (OR per IQR 1.95, 95% CI 1.26-3.02, p = 0.003). None of the other organochlorine pesticides were associated with PD in these analyses. These results provide some support for an increased risk of Parkinson disease with exposure to dieldrin, but chance or exposure correlation with other less persistent pesticides could contribute to our findings.

Growth of Single‐Walled Carbon Nanotubes from Sharp Metal Tips

The nucleation and growth of single-walled carbon nanotubes is observed in situ in a transmission electron microscope. Carbon atoms are implanted into catalytically active metal particles by electron-beam sputtering. The metal particles are then shaped with a focused electron beam. Once the particles have a region of high surface curvature, spontaneous nucleation and growth of single-walled carbon nanotubes occurs on the metal particles. It is shown that the local solubility of carbon in the metal determines the nucleation of nanotubes. This is confirmed by atomistic computer simulations treating the solubility of carbon in a metal particle as a function of the size of the system.

Analysis of the mouse high‐growth region in pigs

In the mouse, homozygous animals for the high growth mutation show a 30-50% increase in growth without becoming obese. This region is homologous to the distal part of pig chromosome 5 (SSC5). A previous genome scan detected several quantitative trait loci (QTL) in this region for body composition and meat quality using a three generation Berkshire x Yorkshire resource family. In this study, the effects on swine growth, fat and meat quality traits of three genes previously identified within the mouse high growth region were analysed. The genes studied were CASP2 and RIPKI domain containing adaptor with death domain (CRADD), suppressor of cytokine signalling 2 (SOCS2) and plexinC1 (PLXNC1). In addition, the influence of two other genes located very close to this region, namely the plasma membrane calcium-transporting ATPase 1 (ATP2B1) and dual specificity phosphatase 6 (DUSP6) genes, was also investigated. Single nucleotide polymorphisms were identified and used to map these genes to the QTL region on SSC5. Results indicate significant associations between these genes and several phenotypic traits, including fat deposition and growth in pigs. The present study suggests associations of these genes with swine fat and growth related traits, but further studies are needed in order to clearly identify the genes involved in the regulation of the QTL located on SSC5.