bluuebunny/crossref_metadata_2025_split huggingface dataset:
Carbon emissions and industrial growth: an ARDL analysis for Pakistan
Authors: Attari Muhammad Irfan Javaid , Hussain Matloub , Javid Attiya Y. 
Published: November 2016

Purpose
This paper is a direct extension of the work by Hussain et al. (2012). They have investigated a long-term relationship between climatic change and economic growth in case of Pakistan. Agricultural sector plays an important role in economic field, whereas industrial sector is the main source of carbon dioxide (CO2) emission. Therefore, this study aims to replace economic growth variable with industrial growth in case of Pakistan.

Design/methodology/approach
Investigation is made on the basis of the environmental Kuznets curve by using the time series data during the period 1971-2009. The per capital carbon dioxide (CO2) emission is used as an environmental indicator and per capita industrial income as the economic indicator. Different econometric tools including augmented Dickey–Fuller, autoregressive distributed lag and Granger-causality test are used to verify this relationship.

Findings
The empirical findings will help the policy-makers of Pakistan in developing new standards and monitoring networks for reducing CO2 emission. It is essential to extend the current research work at provincial and different sectors levels in order to have clear understanding about the impact of current emission rate.

Originality/value
This study replaces economic growth variable with industrial growth in case of Pakistan because the industrial sector is the main source of carbon dioxide (CO2) emission. This study is to investigate a long-term relationship between climatic change and industrial growth in case of Pakistan.
A business network perspective on local content in emerging African petroleum nations
Authors: Owusu Richard Afriyie , Vaaland Terje I. 
Published: November 2016

Purpose
The paper aims to identify and analyze the actors and their interrelationships in realizing local content objectives in African oil- and gas-producing nations.

Design/methodology/approach
The paper includes content analysis of relevant research papers and reports within the oil and gas industry, local content and industrial networks published between 2000 and 2014.

Findings
The study developed a framework that integrates the literature on local content with the industrial network theory. The framework classifies the various critical actors for achieving local content, proposing that achieving local content requires the development of business network links and a resource alignment among local companies and institutions and foreign companies and institutions, in addition to multinational oil companies.

Research limitations/implications
The framework of this study contributes to an emerging theory on local content by integrating the industrial network theory, which provides specific frameworks for analyzing embedded business environments, along with the previous economic and legal-based studies of local content achievement.

Practical implications
The way the relevant actors organize their resources and business networks provides potential for local content in an emerging oil and gas industry in Africa.

Originality/value
The paper is one of the few to integrate studies of local content with the industrial network theory. The literature review provides a summary window of the research on the subject over a 14-year period.
Generating adequacy analysis of Mexico’s national interconnected power system
Authors: Conde-López Luis , Gutiérrez-Alcaraz Guillermo , Singh S.N. 
Published: November 2016

Purpose
Long-term reliability analysis of generation capacity based on the forecasted load demand helps to identify the optimal generation expansion plan of the system. This paper analyzes the generation adequacy of Mexico’s National Interconnected Power System (MNIPS) using loss of load expectation (LOLE) and loss of energy expectation (LOEE) indices.

Design/methodology/approach
These indices are calculated through an analytical (recursive) method and are then compared with values recommended by the North American Electric Reliability Council (NERC). Weekly indices are computed to analyze the load curtailment options that may occur in some periods.

Findings
Forecasted values, including load and generation capacity considering maintenance schedules, additions of new generating units and permanently shut down units in accordance with the long-term expanding-system plan have been considered. The load forecast uncertainty is also included.

Originality/value
This is original work.
The relationship between house prices and demographic variables
Authors: Reed Richard 
Published: November 2016

Purpose
The process for examining the value of house prices in an urban city has given limited attention, if any, to demographic variables associated with urban geography. Although the disciplines of property/real estate and demography have moved closer, little progress has been made when modelling house prices using population-related data in the field of urban geography to explain the level of house prices.

Design/methodology/approach
This paper proposes an innovative model to examine the influence of population variables on the level of house prices. It used a two-stage approach as follows: principal components analysis (PCA) identified social dimensions from a range of demographic variables, which were then retained for further analysis. This information was sourced from two Australian Bureau of Statistics censuses undertaken involving all Melbourne residents during 1996, 2001, 2006 and 2011; multiple regression analysis examined the relationship between the retained factor scores from the PCA (as independent variables) and established residential house prices (as the dependent variable).

Findings
The findings confirm the demographic profile of each household, which is directly related to their decisions about housing location and house prices. Based on a case study of Melbourne, Victoria, it was demonstrated that households with specific demographic characteristics are closely related to a certain level of house prices at the suburban level.

Originality/value
This is an innovative study which has not been previously undertaken for an extended period of time to facilitate an analysis of change over time.
Determining customers’ preferences for housing attributes in India
Authors: Kumar Gupta Vijay , Malhotra Gunjan 
Published: November 2016

Purpose
The purpose of this paper is to understand customers’ preferences for housing attributes in India.

Design/methodology/approach
The study highlights the attributes important to the customer when purchasing residential property. The Kano model has been used to understand these preferences of consumers. The data are collected across Delhi and the National Capital Region and have been analyzed using the cross-tabulation approach.

Findings
Demographics of the consumers play an important role in deciding purchase of residential real estate. Because of their income level, Indian consumers prefer low-rise residential complexes.

Originality/value
The study helps to understand the diverse behavior of Indian consumers when they invest in the real estate sector, especially residential.
Landmark buildings and diversification opportunities in the residential market
Authors: Gibilaro Lucia , Mattarocci Gianluca 
Published: November 2016

PurposeThis article aims to analyze the performance and risk of landmark building in the housing sector and to evaluate their usefulness for a diversification strategy.Design/methodology/approachAfter comparing summary statistics on the performance of landmark building with respect to other types of housing investments, the article evaluates their usefulness for a diversification strategy. The role of landmark buildings is studied using the modern portfolio theory and evaluating the role of this type of asset in the optimal asset allocation. The analysis is performed considering both the risk/return trade-off in a one-year and a multiple-year time horizon.FindingsThe results show that a landmark building can be a good investment opportunity, especially for high-risk/return investors. A not perfect correlation of the returns of this asset class with other types of housing investments implies the existence of a minimum investment in this asset class for almost all portfolios on the efficient frontier. Results are robust with respect to the length of the investment time horizon.Originality/valueThe article presents a unique analysis of intra-housing market diversification opportunities focusing on the role of landmark building in the portfolio construction. Empirical evidence supports the hypothesis that real estate investors can take advantage of investing in landmark buildings in the residential sector as well because there are no reasons to limit such investments to trophy buildings in the office and commercial sectors.
Prioritisation of key attributes influencing the decision to purchase a residential property in Malaysia
Authors: Mohd Thas Thaker Hassanudin , Chandra Sakaran K. 
Published: November 2016

Purpose
This study aims to explicitly explore the criteria or attributes that would influence buyer decision on purchasing residential property in Malaysia.

Design/methodology/approach
Generally, a total of 80 respondents participated in this study, and they hail from two states in Malaysia, namely, Kuala Lumpur and Selangor. This study has structured the respondents’ demographic profiles into different categories such as gender, age, marital status, race, education, type of buyer and income level. For the purpose of analysis, this study has incorporated a versatile fuzzy approach known as the analytic hierarchy process to fulfil the objective of study. From the previous literatures, the extracted variables consist of home amenities, location, pricing, developer, financing, structural factor and community amenities.

Findings
The results from priority vector indicate that buyers give higher rank to the pricing (0.2330) criteria as the most influencing factor in buying residential property, followed by other criteria such as community amenities (0.1450), location (0.1430), financing (0.1420), structural factor (0.1260), home amenities (0.1060) and developer (0.1040) in Kuala Lumpur and Selangor. In addition, the consistency index of 0.00384, which is lower than 0.10 (rule of thumb), postulates that the respondents clearly understood the question requirements and there is no inconsistency involved in the result.

Research limitations/implications
This study attempts to discover how all those seven elements influence buyer decision on purchasing residential property. The results indicate that the outcome seems to be reliable and justifiable with the current period in the context of Malaysia housing sector.

Originality/value
This study is expected to provide more insights into the consistency of attributes that influence the purchase of residential property in the context of Malaysia. The points highlighted in this study are expected to benefit various parties such as potential home buyers, housing developers, marketers and government policy regulators, as well as academic institutions, to design a better policy or blueprint that can enhance the development of the housing sector in Malaysia.
Ranking of collusive behaviour in Indian agro-supply chain using interval 2-tuple linguistic TOPSIS method
Authors: Gupta Rachita , Shankar Ravi 
Published: November 2016

Purpose
The aim of this paper is to develop a model for the prioritization of collusive behaviours within Indian food grain supply chain (FGSC) to enable government authorities, entrusted with the task of public distribution, to address those frauds based on their priority for making an existing supply chain more sustainable.

Design/methodology/approach
An interval 2-tuple linguistic Technique for Order Preference by Similarity to Ideal Solution (ITL-TOPSIS) method has been used to deal with the problem of prioritization of frauds under incomplete and uncertain information. Unlike traditional methods, this methodology offers an ability to make informed decisions, without loss of information, while factoring in various ambiguities.

Findings
The outcome indicates that the most severe fraud is adulteration, which adversely impacts the health of a person. Bogus Ration Card comes next, as it results into the distribution of grains to non-poor, ineligible population rather than the deserving beneficiaries. Next is diversion, where diverted food grains end up being sold at much higher rates than specified subsidized rates. Theft is least severe, as this would not affect FGSC much until done on large scale.

Research limitations/implications
More decision-makers can be consulted to entertain more uncertainty and ambiguity. Also, a comparative study can be performed using different methodologies.

Practical Implications
The proposed modelling could empower various governmental and non-governmental regulatory bodies in formulation of food policies to effectively tackle the problem of inappropriate delivery of food to the unintended population and to take necessary informed decisions for ensuring food security and safety to the society at large.

Originality/value
There is a dearth of studies related to the prioritization of frauds within FGSC. This research bridges the gap in literature by providing a decision-making framework for prioritizing collusive behaviour under ambiguous and uncertain information.
Contrasting long‐term effects of transient anthropogenic edges and forest fragment size on generalist and specialist deadwood‐dwelling fungi
Authors: Ruete Alejandro , Snäll Tord , Jonsson Bengt Gunnar , Jönsson Mari 
Published: November 2016

Summary

Forests are becoming increasingly fragmented world‐wide, creating forest patches with reduced area and greater exposure to human land uses along fragment edges. In this study, we predict the future impacts of anthropogenic edges and fragment size on the future occupancy of deadwood‐dwelling fungi in boreal old‐growth forest fragments.

We used Bayesian models fitted to empirical data to predict 40 years of occupancy dynamics of logs by a group of old‐growth forest indicator fungi and two common fungi under different scenarios of clear‐cutting in adjacent forest (0%, 25%, 50% and 100%) and fragment sizes (1–20 ha).

Small fragment size (1–3·14 ha) and intensified forestry with 50–100% clear‐cutting of forest around old‐growth forest fragments lead to lower predicted occupancy of old‐growth indicator fungi while common generalist species like Fomitopsis pinicola increased.

There was a trade‐off between fragment size and management, where increasing fragment size buffered the negative long‐term effects from increased adjacent clear‐cutting. These changes in fungal occupancy at the edge should be accounted for when working towards conservation targets for protected areas, such as the Aichi target 11.

Synthesis and applications. Preserve what is left – but buffer for change. Small forest fragments often represent the last vestiges of high habitat quality (i.e. species, structures) in managed forest landscapes. As effective area‐based conservation measures for the long‐term occupancy of old‐growth fungi, small fragments need to be managed to protect species from degrading transient edge effects. Management should focus on increasing the size of conservation areas with permanent buffer zones. Alternatively, non‐simultaneous adjacent clear‐cutting in a way that reduces the edge effect over time (i.e. dynamic buffers) may increase the effective area and improve performance of set‐asides in protecting species of special concern for conservation.
The carry‐over effects of pollen shortage decrease the survival of honeybee colonies in farmlands
Authors: Requier Fabrice , Odoux Jean‐François , Henry Mickaël , Bretagnolle Vincent 
Published: November 2016

Summary

Many studies have reported honeybee colony losses in human‐dominated landscapes. While bee floral food resources have been drastically reduced over past decades in human‐dominated landscapes, no field study has yet been undertaken to determine whether there is a carry‐over effect between seasonal disruption in floral resource availability and high colony losses.

We investigated if a decline in the harvest of pollen by honeybees in spring affected managed honeybee colony dynamics (brood size, adult population and honey reserves) and health (Varroa mite loads and colony survival) throughout the beekeeping season.

A decline in pollen harvest was associated with a direct reduction in brood production, leading to a negative effect on the adult population size later in the season, and lower honey reserves before the onset of winter. Furthermore, the decline in pollen harvest negatively impacted the health of the colony, resulting in higher Varroa mite loads and higher seasonal and winter colony losses.

Early‐warning signs of these carry‐over effects were identified, showing that preferential investment in honey reserves instead of brood production early in the season increased the decline in pollen harvest and its associated carry‐over effects.

Synthesis and applications. The results suggest that the decline in pollen harvest may have been overlooked as a cause of pollen shortage and associated bee colony losses. Strategies to avoid such losses in intensive farmland systems include (i) limiting or avoiding honey harvests in spring, (ii) monitoring colonies for early‐warning signals of colony failure and (iii) increasing the amount of floral resources available through wise land‐use management.
Scenarios of habitat management options to reduce predator impacts on nesting waders
Authors: Laidlaw Rebecca A. , Smart Jennifer , Smart Mark A. , Gill Jennifer A. 
Published: November 2016

Summary

Wetland ecosystems throughout the world are threatened by drainage and intensification of agriculture. Consequently, many wetland species of conservation concern are now restricted to fewer and smaller sites, and maintaining these species often requires intensive habitat management.

In Western Europe, breeding wader populations have declined severely as a result of wetland degradation, but very high levels of predation on eggs and chicks are now preventing population recovery. Wet grassland management for breeding waders has focussed on providing suitable nesting habitats, but the potential for management of landscape features to influence predation rates remains largely unknown.

Using a 7‐year study of breeding lapwing Vanellus vanellus and redshank Tringa totanus we first identify features that influence nest predation, and then use this information to compare the magnitude of change in nest predation rates that could potentially result from future landscape management scenarios.

As lapwing nest predation rates are higher (i) in fields further from patches of tall vegetation, (ii) close (<50 m) to field edges in wet fields, (iii) further from field edges in dry fields and (iv) in areas of low lapwing nesting density, we modelled a series of realistic scenarios in which the area of tall vegetation and the extent and distribution of surface water were varied across the reserve, to quantify the magnitude of change in nest predation rate that could potentially have been achieved through management.

Modelled scenarios of changes in surface water and area of tall vegetation indicated that reduced surface flooding combined with removal of tall vegetation could result in significant increases in lapwing nest predation rates in areas with low nesting densities and nests in field centres. By contrast, a ~20% reduction in nest predation, corresponding to ~100 more chicks hatching per year, is predicted in scenarios with expansion of tall vegetation in areas with high lapwing nest density and nests close to field edges.

Synthesis and applications. These management scenarios suggest that, for breeding waders in wet grassland landscapes, creating areas of tall vegetation and concentrating surface flooding (to encourage high nesting densities and influence nesting distribution) can potentially help to reduce the unsustainably high levels of nest predation that are preventing population recovery.
Demographic stimulation of the obligate understorey herb,Panax quinquefoliusL., in response to natural forest canopy disturbances
Authors: Chandler Jennifer L. , McGraw James B. 
Published: November 2016

SummaryNatural and anthropogenic forest canopy disturbances significantly alter forest dynamics and lead to multi‐dimensional shifts in the forest understorey. An understorey plant's ability to exploit alterations to the light environment caused by canopy disturbance leads to changes in population dynamics. The purpose of this work was to determine if population growth of a species adapted to low light increases in response to additional light inputs caused by canopy disturbance, or alternatively, declines due to long‐term selection under low light conditions.To address this question, we quantified the demographic response of an understorey herb to three contrasting forest canopy disturbances (ice storms, tent caterpillar defoliation and lightning strikes) that encompass a broad range of disturbance severity. We used a model shade‐adapted understorey species,Panax quinquefolius, to parameterize stage‐based matrix models. Asymptotic growth rates, stochastic growth rates and simulations of transient dynamics were used to quantify the population‐level response to canopy disturbance. Life table response experiments were used to partition the underlying controls over differences in population growth rates.Population growth rates at all three disturbed sites increased in the transition period immediately after the canopy disturbance relative to the transition period prior to disturbance. Stochastic population models revealed that growth rates increased significantly in simulations that included disturbance matrices relative to those simulations that excluded disturbance. Additionally, transient models indicated that population size (n) was larger for all three populations when the respective disturbance matrix was included in the model.Synthesis. Obligate shade species are most likely to be pre‐adapted to take advantage of canopy gaps and light influx to a degree, and this pre‐adaptation may be due to long‐term selection under dynamic old growth forest canopies. We propose a model whereby population performance is represented by a parabolic curve where performance is maximized under intermediate levels of canopy disturbance. This study provides new evidence to aid our understanding of the population‐level response of understorey herbs to disturbances whose frequency and intensity are predicted to increase as global climates continue to shift.