ORCID Profile
0000-0002-9973-2943
Current Organisation
University of Western Australia
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Environment and Resource Economics | Applied Economics | Economic Development and Growth | Economic History | Urban and Regional Economics | Economic Geography |
Climate Change Mitigation Strategies | Energy Conservation and Efficiency not elsewhere classified | Expanding Knowledge in Economics | Solar-Photovoltaic Energy | Preference, Behaviour and Welfare
Publisher: Elsevier BV
Date: 07-2019
Publisher: Elsevier BV
Date: 11-2016
Publisher: Elsevier BV
Date: 11-2018
Publisher: Wiley
Date: 29-09-2016
Publisher: Elsevier BV
Date: 03-2010
Publisher: Informa UK Limited
Date: 03-03-2022
Publisher: Wiley
Date: 03-11-2017
DOI: 10.1111/RODE.12354
Publisher: Wiley
Date: 29-11-2018
Publisher: Elsevier BV
Date: 03-2016
Publisher: Elsevier BV
Date: 10-2004
Publisher: Elsevier BV
Date: 06-2023
Publisher: MDPI AG
Date: 20-06-2018
DOI: 10.3390/SU10062101
Publisher: Elsevier BV
Date: 07-2008
Publisher: Springer Science and Business Media LLC
Date: 19-03-2019
Publisher: Elsevier BV
Date: 05-2016
Publisher: Emerald
Date: 02-05-2017
DOI: 10.1108/CAER-05-2016-0070
Abstract: The purpose of this paper is to explore the factors that influence Chinese apple farmers’ willingness to adopt organic farming, paying a special attention to the role of information acquisition. Given that the selection bias may occur when farmers themselves decide whether or not to acquire the information to understand the essence of organic farming, this study employs a recursive bivariate probit model to address the issue of the selection bias. The empirical results indicate that farmers’ decision to acquire information is positively affected by farmers’ environmental awareness, access to credit and access to information. In particular, information acquisition appears to increase the likelihood of farmers’ willingness to adopt organic farming by 35.9 percentage points on average. The findings suggest that measures increasing farmers’ information exposure can be promising policy interventions to induce adoption of organic farming. While considerable evidence indicates that organic farming provides more benefits than conventional production practice, little is known about farmers’ willingness to adopt in China. This paper provides a first attempt by examining the role of information acquisition in determining Chinese apple farmers’ willingness to adopt.
Publisher: Elsevier BV
Date: 11-2015
Publisher: MDPI AG
Date: 11-08-2016
DOI: 10.3390/SU8080784
Publisher: Elsevier BV
Date: 03-2017
Publisher: Elsevier BV
Date: 02-2017
Publisher: Elsevier BV
Date: 02-2015
Publisher: Elsevier BV
Date: 07-2010
Publisher: Elsevier BV
Date: 2010
Publisher: Elsevier BV
Date: 11-2013
Publisher: Springer Science and Business Media LLC
Date: 13-01-2018
Publisher: Elsevier BV
Date: 07-2016
Publisher: Emerald
Date: 29-05-2009
DOI: 10.1108/02651330910960825
Abstract: In recent years, “trade up” argument has gained momentum. It argues that international integration can benefit developing countries' environments by fostering the adoption of voluntary environmental standards, such as International Organization for Standardization (ISO) 14001 certification. Based on this argument, a social marketing program that encourages greenness among buyers, especially downstream industrial buyers (for ex le, auto industry) in developed countries could motivate firms in developing countries go green. The purpose of this paper is to provide an investigation on whether “trade up” is a real hope, and what is required to make it real. Theoretical modeling and case studies. This paper finds that international trade does gear up the adoption of ISO 14001 standards in China through increasing pressures from international green customers. However, our analyses suggest that the adoption of ISO 14001 certification does not necessarily improve firms' compliance with existing environmental regulations in China. The actual impact depends on how stringently environmental agency carries out inspections. We also find that in China, ISO 14001 certification motivates little, if any, environmental performance improvement beyond bottom‐line environmental regulations. This finding suggests that the “trade up” argument as well as a social marketing strategy targeting international buyers (including downstream industries) need to be scrutinized carefully before being used to guide practice. Few efforts have been made to explore the actual impacts of ISO 14001 certification in developing countries. This paper fills this gap. It provides empirical support for Andreasen's argument that social marketing should be applied more broadly to achieve the desired impacts.
Publisher: Elsevier BV
Date: 2011
Publisher: Elsevier BV
Date: 03-2014
Publisher: Elsevier BV
Date: 07-2018
Publisher: Elsevier BV
Date: 11-2018
Publisher: Elsevier BV
Date: 02-2021
Publisher: Elsevier BV
Date: 08-2022
Publisher: Elsevier BV
Date: 02-2022
Publisher: Springer Science and Business Media LLC
Date: 27-02-2020
Publisher: Elsevier BV
Date: 2020
Publisher: Elsevier BV
Date: 2015
Publisher: Elsevier BV
Date: 05-2008
Publisher: Elsevier BV
Date: 11-2019
Publisher: Informa UK Limited
Date: 19-10-2019
Publisher: Edward Elgar Publishing
Date: 30-06-2017
Publisher: Elsevier BV
Date: 2022
Publisher: Elsevier BV
Date: 03-2012
Publisher: Elsevier BV
Date: 10-2018
Publisher: Elsevier BV
Date: 05-2016
DOI: 10.1016/J.JENVMAN.2016.02.008
Abstract: This study reviewed 62 economic analyses published between 1995 and 2014 on the economic impacts of policies that incentivise agricultural greenhouse (GHG) mitigation. Typically, biophysical models are used to evaluate the changes in GHG mitigation that result from landholders changing their farm and land management practices. The estimated results of biophysical models are then integrated with economic models to simulate the costs of different policy scenarios to production systems. The cost estimates vary between $3 and $130/t CO2 equivalent in 2012 US dollars, depending on the mitigation strategies, spatial locations, and policy scenarios considered. Most studies assessed the consequences of a single, rather than multiple, mitigation strategies, and few considered the co-benefits of carbon farming. These omissions could challenge the reality and robustness of the studies' results. One of the biggest challenges facing agricultural economists is to assess the full extent of the trade-offs involved in carbon farming. We need to improve our biophysical knowledge about carbon farming co-benefits, predict the economic impacts of employing multiple strategies and policy incentives, and develop the associated integrated models, to estimate the full costs and benefits of agricultural GHG mitigation to farmers and the rest of society.
Publisher: Springer Science and Business Media LLC
Date: 28-03-2018
Publisher: Elsevier BV
Date: 02-2018
Publisher: Wiley
Date: 15-04-2019
Publisher: Now Publishers
Date: 12-2018
Publisher: Wiley
Date: 10-02-2016
Publisher: Elsevier BV
Date: 02-2012
Publisher: Emerald
Date: 28-06-2022
DOI: 10.1108/CAER-01-2022-0008
Abstract: Mitigating agricultural greenhouse gas (GHG) emissions is an essential part of China's effort to achieve net-zero emissions. This study assesses the cost-effectiveness of China's agricultural GHG reduction under erse carbon policies. The study employs a parametric non-radial distance function approach and estimates the technical abatement potential and marginal abatement cost (MAC) of GHG in China's agricultural sector for the 2008–2017 period. Agriculture is expected to make a great contribution to China's net-zero emissions progress. This study empirically analyses the cost-effectiveness of China's agricultural GHG reduction under erse carbon policies. A parametric non-radial distance function approach is used to derive technical abatement potential and MAC of GHG for the 2008–2017 period. The results indicate that no significant improvement had been achieved in terms of agricultural GHG reduction in China during 2008–2017. The country's agricultural sector could reduce 20–40% GHG emissions with a mean value of 31%. In general, western provinces have larger reduction potential than eastern ones. The average MAC for the whole country is 4,656 yuan/ton CO 2 e during 2008–2017. For most western provinces, their MAC values are considerably higher than those for most eastern provinces. Compared with previous sectoral estimates of GHG mitigation cost, this study’s estimates indicate that reducing agricultural GHG emissions in some provinces is likely to be cost-effective. The Chinese government should consider expanding its national carbon market to cover agricultural sector. The Chinese government should consider expanding its national carbon market to cover agricultural sector. Existing studies in the field mostly ignore input constraints, which is inconsistent with carbon mitigation policy practice, especially in the agricultural sector. This study’s approach integrates both input and output constraints reflecting differing policy practice.
Publisher: International Association for Energy Economics (IAEE)
Date: 09-2016
Publisher: Elsevier BV
Date: 12-2016
Publisher: Elsevier BV
Date: 07-2020
Publisher: MDPI AG
Date: 22-01-2020
DOI: 10.3390/SU12030812
Abstract: Energy utilization of agricultural waste, due to the depletion of petroleum resources and the continuous deterioration of the ecological environment, has become an increasingly important development area at present, with broad prospects. The Citespace software was used to systematically summarize the research hotspots, development, and frontiers of researches on the energy utilization of agricultural waste in China from 1999 to 2018. The results show that (1) the number of publications in this field has increased, which includes a steady development stage, a rapid development stage, and a fluctuation and decline stage. (2) Research hotspots focused on technology for energy utilization of agricultural waste, benefits analysis of energy utilization of agricultural waste, energy conversion and upgrading path of agricultural waste, and energy potential of agricultural waste. (3) Development of research hotspots go through five stages: “technology for energy utilization of straw and the disposal of livestock and poultry waste”, “exploration of energy utilization mode of agricultural waste and the disposal of by-product from energy utilization of agricultural waste”, “technology upgrading from agricultural waste to fuel ethanol and recycling of livestock and poultry waste”, “resource recycling of by-product from biogas ” and “energy utilization of livestock and slaughterhouse waste”. It has revealed the focus in this field was changing from planting waste to breeding waste, and from unprocessed waste to by-product from energy utilization. (4) Energy utilization of slaughterhouse waste and cow manure has started to be considered as the frontiers of researches.
Publisher: Elsevier BV
Date: 2017
Publisher: Elsevier BV
Date: 11-2017
DOI: 10.1016/J.SCITOTENV.2017.04.089
Abstract: As China becomes the world's largest energy consumer and CO
Publisher: Wiley
Date: 12-2021
Abstract: In recent decades, numerous studies have focused on technical efficiency in rice farming, finding considerable variation in mean technical efficiency (MTE) estimates. We conducted a meta‐regression analysis (MRA), using a random‐effects meta‐regression model, to understand the variation in MTE estimates due to study heterogeneity, heteroscedasticity and publication bias. We used 443 observations extracted from 175 primary studies published in English in the last three decades. The results show that MTE estimates are affected by study heterogeneity. Variable returns to scale specification yielded higher MTE scores than constant returns to scale ones. Panel data, secondary data and value data had lower MTE estimates than cross‐sectional data, primary data and physical (quantity) data, respectively. Compared to Southeast Asia, countries in East and South Asia had higher MTE estimates, whereas African countries had lower MTE estimates. We suggest that practitioners and policy‐makers should consider carefully estimation specifications, data types and geographical regions of empirical studies when comparing and interpreting empirical results. The average genuine (predicted) MTE score was 0.76 (range 0.54–0.89), indicating the potential to improve technical efficiency in global rice farming and the need for further research to bridge managerial ability gaps among farmers.
Publisher: Elsevier BV
Date: 05-2008
Publisher: Elsevier BV
Date: 10-2019
Publisher: Elsevier BV
Date: 06-2006
Publisher: Elsevier BV
Date: 03-2015
Publisher: Elsevier BV
Date: 07-2022
Start Date: 03-2012
End Date: 02-2015
Amount: $240,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2013
End Date: 06-2016
Amount: $372,000.00
Funder: Australian Research Council
View Funded Activity