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Ecological restoration of coal mine degraded soils across arid and semi-arid environments worldwide remains particularly challenging. Here we used a combination of greenhouse and field experiments to assess the potential role of a woody species, Ulmus pumila, in the restoration of degraded soils associated with coal-mining activities in the northwest China. We investigated how various combinations of water-nitrogen-phosphorus (W–N–P) resources affect multiple growth parameters in U. pumila. We found that several plant growth traits significantly improved with W–N applications, regardless of P inputs. Moderate-to-highest W–N–P doses increased net photosynthesis and transpiration rates, water use efficiency, stomatal conductance, chlorophyll and carotenoid contents under greenhouse conditions. A combination of high W together with low N–P applications led to high relative water content and net photosynthetic rates under field conditions. Increasing of N–P doses under W-shortage condition, aided U. pumila to enhance osmotic adjustments by increasing contents of proline and soluble sugar and also boost the activity of superoxide dismutase, peroxidase and catalase in leaf tissues to reduce accumulation of reactive oxygen species (ROS) and malondialdehyde content in all conditions of greenhouse and field. Our study is the first to assess the optimum W–N–P resources in U. pumila and demonstrate that optimum growth performance could be obtained under W supplements corresponding to 90 mm year−1, N and P at 110 and 45 kg ha−1, respectively, under field condition. These findings can have far reaching implications for vegetation restoration of degraded areas associated with coal-mining activities across arid and semi-arid regions worldwide.
Rana Roy; Shirin Sultana; Jinxin Wang; Mohammad Golam Mostofa; Tanwne Sarker; M. Mostafizur Rahman Shah; Mohammad Shakhawat Hossain. Revegetation of coal mine degraded arid areas: The role of a native woody species under optimum water and nutrient resources. Environmental Research 2021, 111921 .
AMA StyleRana Roy, Shirin Sultana, Jinxin Wang, Mohammad Golam Mostofa, Tanwne Sarker, M. Mostafizur Rahman Shah, Mohammad Shakhawat Hossain. Revegetation of coal mine degraded arid areas: The role of a native woody species under optimum water and nutrient resources. Environmental Research. 2021; ():111921.
Chicago/Turabian StyleRana Roy; Shirin Sultana; Jinxin Wang; Mohammad Golam Mostofa; Tanwne Sarker; M. Mostafizur Rahman Shah; Mohammad Shakhawat Hossain. 2021. "Revegetation of coal mine degraded arid areas: The role of a native woody species under optimum water and nutrient resources." Environmental Research , no. : 111921.
This study analyzes the effects of credit constraints on technical efficiency of Boro rice growers in the district of Pabna in Bangladesh. Using a simple random sampling technique, the data was collected from 570 Boro rice growers from the Pabna district of Bangladesh. Before conducting a field survey, a theoretical model was designed to identify credit-constrained and non-constrained rice growers. We have analyzed the collected data in two phases: first, we investigated the technical efficiency of Boro rice growers using the stochastic frontier model (SFA); and second, we used an inefficiency effect model to estimate the influence of credit constraints on technical efficiency. Findings indicate that credit-constrained rice growers (CCRG) are 6.7% less technically efficient than credit non-constrained rice growers (CNRG). Findings further indicate that the education level of the household head, family size, certified seed, sowing time, access to extension services, off-farm income, and household savings have significant effects on the technical efficiency of both groups of rice growers. Furthermore, credit size has a significantly positive impact, whereas the interest rate imposed on the principal amount has a significantly negative impact.
Ghulam Rabbany; Yasir Mehmood; Fazlul Hoque; Tanwne Sarker; Kh Zulfikar Hossain; Arshad Ahmad Khan; Mohammad Shakhawat Hossain; Rana Roy; Jianchao Luo. Do credit constraints affect the technical efficiency of Boro rice growers? Evidence from the District Pabna in Bangladesh. Environmental Science and Pollution Research 2021, 1 -13.
AMA StyleGhulam Rabbany, Yasir Mehmood, Fazlul Hoque, Tanwne Sarker, Kh Zulfikar Hossain, Arshad Ahmad Khan, Mohammad Shakhawat Hossain, Rana Roy, Jianchao Luo. Do credit constraints affect the technical efficiency of Boro rice growers? Evidence from the District Pabna in Bangladesh. Environmental Science and Pollution Research. 2021; ():1-13.
Chicago/Turabian StyleGhulam Rabbany; Yasir Mehmood; Fazlul Hoque; Tanwne Sarker; Kh Zulfikar Hossain; Arshad Ahmad Khan; Mohammad Shakhawat Hossain; Rana Roy; Jianchao Luo. 2021. "Do credit constraints affect the technical efficiency of Boro rice growers? Evidence from the District Pabna in Bangladesh." Environmental Science and Pollution Research , no. : 1-13.
Women’s empowerment has a great influence on health, nutrition, education, and the overall well-being of societies as well as of the children and households. This study investigates the effect of women’s empowerment on poverty reduction and focuses on household deprivation, in terms of education, health, and standard of living. Primary data was collected from 914 married women from rural areas of Bangladesh using a well-structured questionnaire and a random sampling technique. Descriptive statistics, logistic regression, and ordinary least squares models were used in this study. The results indicate that increased women’s access to education, asset ownership, decision-making power on children’s health and education, and access to medical facilities, have caused a significant decline in income poverty and multidimensional poverty. However, gender violence, taking resources against women’s will, and preventing women from working outside, have caused a considerable decline in per capita income and an increase in income poverty and multidimensional poverty. Overall, it is found that women’s empowerment has a great impact on the reduction of income poverty and multidimensional poverty in society. The findings of the study can assist and guide policymakers to initiate appropriate strategies for women’s empowerment to reducing poverty in Bangladesh while making progress towards other social and developmental goals.
Wei Wei; Tanwne Sarker; Wioletta Żukiewicz-Sobczak; Rana Roy; G. Alam; Ghulam Rabbany; Mohammad Hossain; Noshaba Aziz. The Influence of Women’s Empowerment on Poverty Reduction in the Rural Areas of Bangladesh: Focus on Health, Education and Living Standard. International Journal of Environmental Research and Public Health 2021, 18, 6909 .
AMA StyleWei Wei, Tanwne Sarker, Wioletta Żukiewicz-Sobczak, Rana Roy, G. Alam, Ghulam Rabbany, Mohammad Hossain, Noshaba Aziz. The Influence of Women’s Empowerment on Poverty Reduction in the Rural Areas of Bangladesh: Focus on Health, Education and Living Standard. International Journal of Environmental Research and Public Health. 2021; 18 (13):6909.
Chicago/Turabian StyleWei Wei; Tanwne Sarker; Wioletta Żukiewicz-Sobczak; Rana Roy; G. Alam; Ghulam Rabbany; Mohammad Hossain; Noshaba Aziz. 2021. "The Influence of Women’s Empowerment on Poverty Reduction in the Rural Areas of Bangladesh: Focus on Health, Education and Living Standard." International Journal of Environmental Research and Public Health 18, no. 13: 6909.
Changes in climate may have both beneficial and harmful effects on crop yields. However, the effects will be more in countries whose economy depends on agriculture. This study aims to measure the economic impacts of climate change on crop farming in Bangladesh. A Ricardian model was used to estimate the relationship between net crop income and climate variables. Historical climate data and farm household level data from all climatic zones of Bangladesh were collected for this purpose. A regression model was then developed of net crop income per hectare against long-term climate, household and farm variables. Marginal impacts of climate change and potential future impacts of projected climate scenarios on net crop incomes were also estimated. The results revealed that net crop income in Bangladesh is sensitive to climate, particularly to seasonal temperature. A positive effect of temperature rise on net crop income was observed for the farms located in the areas having sufficient irrigation facilities. Estimated marginal impact suggests that 1 mm/month increase in rainfall and 10°C increase in temperature will lead to about US$4-15 increase in net crop income per hectare in Bangladesh. However, there will be significant seasonal and spatial variations in the impacts. The assessment of future impacts under climate change scenarios projected by Global Circulation Models indicated an increase in net crop income from US$25-84 per hectare in the country. The findings of this study indicate the need for development practitioners and policy planners to consider both the beneficial and harmful effects of climate change across different climatic zones while designing and implementing the adaptation policies in the country. Literature survey of the Web of Science, Science Direct and Google Scholar indicates that this study is the first attempt to measure the economic impacts of climate change on overall crop farming sector in Bangladesh using an econometric model.
Mohammad Shakhawat Hossain; Lu Qian; Muhammad Arshad; Shamsuddin Shahid; Shah Fahad; Javed Akhter. Climate change and crop farming in Bangladesh: an analysis of economic impacts. International Journal of Climate Change Strategies and Management 2019, 11, 424 -440.
AMA StyleMohammad Shakhawat Hossain, Lu Qian, Muhammad Arshad, Shamsuddin Shahid, Shah Fahad, Javed Akhter. Climate change and crop farming in Bangladesh: an analysis of economic impacts. International Journal of Climate Change Strategies and Management. 2019; 11 (3):424-440.
Chicago/Turabian StyleMohammad Shakhawat Hossain; Lu Qian; Muhammad Arshad; Shamsuddin Shahid; Shah Fahad; Javed Akhter. 2019. "Climate change and crop farming in Bangladesh: an analysis of economic impacts." International Journal of Climate Change Strategies and Management 11, no. 3: 424-440.
The variations in farming risk are classified into three key categories: market liberalization, natural disasters such as floods or drought, and climate change. This study aims at filling the existing research gap by the assessment of risk attitude and risk perceptions toward various types of risks. Primary data of 600 respondents were collected through a structured questionnaire in four flood-prone districts namely Peshawar, Mardan, Charsadda, and Nowshera of Khyber Pakhtunkhwa (KP) province of Pakistan. Equally Likely Certainty Equivalent and risk matrix techniques were utilized in determining the risk attitude and risk perceptions among the farmers. A probit regression model was used to analyze the relationships among dependent and independent variables. Findings of the study show that majority of the farmers were risk-averse, and floods, high input prices, crop diseases, and excessive precipitation were the main risks perceived by the farmers. Results of the probit regression model indicated that age, education level, farm location, off-farm income, and access to market information were the main factors that affect the farmers' risk attitude and perceptions. The research offers essential findings that can be used by policy-makers in the farming sector and researchers to understand risk attitude and perceptions of farmers empirically.
Shah Fahad; Jing Wang; Arshad Ahmad Khan; Aman Ullah; Uzair Ali; Mohammad Shakhawat Hossain; Sufyan Ullah Khan; Nguyen Thi Lan Huong; Xiaoying Yang; Guang-Yin Hu; Arshad Bilal. Evaluation of farmers' attitude and perception toward production risk: Lessons from Khyber Pakhtunkhwa Province, Pakistan. Human and Ecological Risk Assessment: An International Journal 2018, 24, 1710 -1722.
AMA StyleShah Fahad, Jing Wang, Arshad Ahmad Khan, Aman Ullah, Uzair Ali, Mohammad Shakhawat Hossain, Sufyan Ullah Khan, Nguyen Thi Lan Huong, Xiaoying Yang, Guang-Yin Hu, Arshad Bilal. Evaluation of farmers' attitude and perception toward production risk: Lessons from Khyber Pakhtunkhwa Province, Pakistan. Human and Ecological Risk Assessment: An International Journal. 2018; 24 (6):1710-1722.
Chicago/Turabian StyleShah Fahad; Jing Wang; Arshad Ahmad Khan; Aman Ullah; Uzair Ali; Mohammad Shakhawat Hossain; Sufyan Ullah Khan; Nguyen Thi Lan Huong; Xiaoying Yang; Guang-Yin Hu; Arshad Bilal. 2018. "Evaluation of farmers' attitude and perception toward production risk: Lessons from Khyber Pakhtunkhwa Province, Pakistan." Human and Ecological Risk Assessment: An International Journal 24, no. 6: 1710-1722.