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  • 1.
    Earl, Robyn
    et al.
    Curtin University.
    Falkmer, Torbjörn
    Jönköping University, School of Health and Welfare, HHJ. CHILD. Curtin University.
    Girdler, Sonya
    Curtin University.
    Dahlman, Joakim
    Chalmers University of Technology.
    Rehnberg, Anette
    The Swedish Transport Administration.
    Falkmer, Marita
    Jönköping University, School of Education and Communication, HLK, CHILD. Curtin University.
    Visual search strategies of pedestrians with and without visual and cognitive impairments in a shared zone: A proof of concept study2016In: Land use policy, ISSN 0264-8377, E-ISSN 1873-5754, Vol. 57, p. 327-334Article in journal (Refereed)
    Abstract [en]

    Shared zones have gained increasing popularity in urban land use and design as a means of incorporating the needs of multiple modes of transport, while at the same time promoting social interaction between users. Interactions within shared zones are based on a set of informal social protocols, communicated via eye contact and social cues. This proof of concept study utilised eye-tracking technology to examine the visual search strategies of individuals, with and without visual and cognitive impairments as they navigated a strategically chosen shared zone. In total 3960 fixations were analysed and the fixations were distributed across the shared zone and a pedestrian crossing. Those with impairments were more likely to fixate on traffic specific areas and objects compared to those without, suggesting that they required more input ascertaining when and where it was safe to perform tasks. However, the duration of fixation was not significantly different for an object whether it was traffic related or not, indicating a global need for increased processing time of the surrounding environment. Shared zones are claimed to increase driver awareness and safety and reduce congestion, but the implications on participation and safety for those with visual and cognitive impairments is yet to be extensively explored.

  • 2.
    Fentie, Amare
    et al.
    Environment and Climate Research Center (ECRC), Policy Studies Institute (PSI), Addis Abeba, Ethiopia.
    Beyene, Abebe D.
    Environment and Climate Research Center (ECRC), Policy Studies Institute (PSI), Addis Abeba, Ethiopia.
    Climate-smart agricultural practices and welfare of rural smallholders in Ethiopia: Does planting method matter?2019In: Land use policy, ISSN 0264-8377, E-ISSN 1873-5754, Vol. 85, p. 387-396Article in journal (Refereed)
    Abstract [en]

    The purpose of this study is to provide empirical evidence on the impact of a climate-smart agricultural practice (row planting) on the welfare of rural households. Data collected from 260 households in Gubalafto woreda of Amhara region in Ethiopia were analyzed using Propensity Score Matching (PSM) and a Semi-parametric Local Instrumental Variable (LIV) version of the generalized Roy model. The results from the PSM model revealed that adoption of row planting technology has a positive and significant impact on per capita consumption and on crop income per hectare. Covariates are well balanced and the impact estimate is insensitive to unobserved selection bias indicating that the estimates are a pure effect of the row planting technology. Marginal benefit of row planting is increasing with higher propensity of the farmer to adopt the climate smart planting technology. Therefore, scaling up the technology will significantly contribute to farmers’ resilience against the adverse effects of climate change through enhancing household's income and food security. 

  • 3.
    Li, Yuheng
    et al.
    Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
    Li, Yurui
    Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
    Westlund, Hans
    Jönköping University, Jönköping International Business School, JIBS, Economics. Department of Urban Planning and Environment, School of Architecture and Built Environment, KTH Royal Institute of Technology, Stockholm, Sweden.
    Liu, Yansui
    College of Resources Science and Technology, Beijing Normal University, Beijing, China.
    Urban-rural transformation in relation to cultivated land conversion in China: Implications for optimizing land use and balanced regional development2015In: Land use policy, ISSN 0264-8377, E-ISSN 1873-5754, Vol. 47, p. 218-224Article in journal (Refereed)
    Abstract [en]

    The paper aims to investigate land conversion as a result of urban-rural transformation in the Chinese context. Theoretical analysis and empirical study of the Bohai Rim region find strong connections between the land conversion rates and urban-rural transformation intensity in the period 2000-2010. Rapid land conversion normally takes place in counties/districts of low initial level of urban-rural transformation. However, places of high initial socioeconomic level and low transformation intensity would experience slow land conversion. The different land conversion rates in relation to urban-rural transformation intensity are mainly attributed to the China's land quotas distribution system which is subjective and administrative. The study highlights the implementation of land quotas distribution system based on differences to improve the land distribution efficiency and achieve balanced regional development in China. (C) 2015 Elsevier Ltd. All rights reserved.

  • 4.
    Nilsson, Pia
    Jönköping University, Jönköping International Business School, JIBS, Economics.
    Productivity effects of CAP investment support: Evidence from Sweden using matched panel data2017In: Land use policy, ISSN 0264-8377, E-ISSN 1873-5754, Vol. 66, p. 172-182Article in journal (Refereed)
    Abstract [en]

    This paper studies the effects of investment support from the common agricultural policy on labour and total factor productivity of agricultural firms in Sweden. Detailed firm-level data on 34 300 firms are used to estimate a matched panel model that relates firm productivity to a series of factors reflecting internal and external characteristics. The recently developed Coarsened Exact Matching method is used to estimate matched control groups and handle selection bias. Findings show a positive and significant treatment effect of investment support on firm productivity, but only for small firms. The analysis also reveals that an increase in the size of the support in relation to firm income has a negative and significant impact on productivity for all firms. Differentiating between various types of investment supports indicates heterogeneous treatment effects. The policy instrument can improve its efficiency if targeted to small firms and investments that have a link to public good provision.

    The full text will be freely available from 2020-05-10 00:00
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