ORCID Profile
0000-0003-0045-3897
Current Organisation
Bangladesh Agricultural University
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Publisher: Elsevier BV
Date: 03-2018
Publisher: Bangladesh Journals Online (JOL)
Date: 09-08-2017
Abstract: The study has been conducted to examine feasibility of rice procurement system and factors influencing farmers to sell rice at procurement centers in an area of Jamalpur district. In total, 45 s led farmers including both participant and non-participants and 15 millers who are residing in various upazillas in Jamalpur district were interviewed. Stratified s ling technique was followed to select the respondents. From the 45 farmers, 20 farmers were participating in the procurement process. To examine the financial profitability of rice procurement system, activity budget analysis was done. To find the influencing factors those encourage farmers to attend in rice procurement programme, the Logit regression model was used. The study revealed that on an average, 52 percent and 11 percent of paddy procurement targets in Boro and Aman season respectively were achieved. On the other hand, 91 percent and 49 percent of rice procurement targets in Boro and Aman season respectively were achieved. Though cost of production was higher for marginal/small farmers, but the both gross and net return was higher for medium/large farmers. Out of 9 independent variables, four variables have been found to have significant influence on adopting rice procurement system in the study area. Although, Government Boro paddy procurement has many weaknesses, but it can be reduced by taking necessary steps in making it more efficient.Progressive Agriculture 28 (2): 139-147, 2017
Publisher: Bangladesh Journals Online (JOL)
Date: 09-08-2017
Abstract: The study was conducted to assess the participation behavior of indigenous women by the adoption of one house one farm project in Mymensingh district. The respondents were ided into two groups i.e., project farmers and non-project farmers. The study revealed that the impact of the project was very much satisfactory in terms of education, occupation, farm holding, etc. The participation index was used as a measure of womens participation level in the one house one farm which indicated that 88.0% of the project women obtained a score of 60.0. The results also revealed that the age of the head of households, numbers of trainings imparted to each household, operational holding, frequency of the visit of BRDB personnel, effectiveness of local institutions and off-farm income had significant influence on the participation behavior of the indigenous women. Although, indigenous farmers reported some strengths and opportunities which helped them to cope with the unwanted situation, government and the concerned authorities should come forward to overcome the weaknesses and threats as well.Progressive Agriculture 28 (2): 130-138, 2017
Publisher: Springer Science and Business Media LLC
Date: 09-09-2019
Publisher: Springer Science and Business Media LLC
Date: 09-05-2022
Publisher: MDPI AG
Date: 03-12-2020
DOI: 10.3390/WORLD1030020
Abstract: The present research analyzes the potential economic impact of the COVID-19 pandemic on South Asian economies using a systematic review approach. The cause-effect relationship framework showed that the outbreak of COVID-19 slowed down the gross domestic product (GDP) along with major economic sectors and indicators in the South Asian economies. The short and long-run predicted scenario showed that, compared to the agriculture sector, the service and manufacturing sectors will be affected more seriously in all South Asian countries. It was found that governments in the region are trying their best to adopt and implement expansionary fiscal strategies to combat this situation. Many countries have included farmers and allied workers in the government’s support system to utilize resources. In order to maintain the balance of international trade, the import and export of essential items must be given special support. To cope with this situation, governments can invest money from different autonomous institutions to expand Micro, Small, and Medium Enterprises (MSME). The findings of this research will be helpful for policy planners to formulate appropriate programs for short and long-run demands, along with economic and fiscal policies to sustain and revive the economic activity in South Asia.
Publisher: Springer Science and Business Media LLC
Date: 22-11-2019
Publisher: Science Publications
Date: 03-2017
Publisher: MDPI AG
Date: 26-08-2022
DOI: 10.3390/JRFM15090382
Abstract: In most cases, the official documents related to guidelines and frameworks are complicated, long, and hard to understand for general readers, regardless of whether the government and financial companies follow international standards or not. In this context, the current study examines how the green bond (GB) guidelines created by the Japanese government are aligned with the Green Bond Principles (GBP) and Climate Bonds Standard (CBS) through a text mining technique. It also investigates whether the GB frameworks for the Japanese public and private companies follow the GB guidelines of the Japanese government. While the CBS is the guideline that focuses on climate bonds, the GBP specializes in GB whose scope is broader. The word frequency and word cloud analyses identify that the documents created by the Japanese government and companies have more similarities with the GBP, indicating that the Japanese GB guidelines and frameworks are more aligned with the GBP than the CBS. A pairwise word network matrix analysis also reveals that the Japanese GB guidelines and frameworks are more focused on broader environmental issues and sustainability than the CBS, which had more similarities with the GBP than the CBS.
Publisher: MDPI AG
Date: 13-07-2020
DOI: 10.3390/SU12145616
Abstract: Just after the Indian government issued the first lockdown rule to cope with the increasing number of COVID-19 cases in March 2020, the energy consumption in India plummeted dramatically. However, as the lockdown relaxed, energy consumption started to recover. In this study, we investigated how COVID-19 cases affected Indian energy consumption during the COVID-19 crisis by testing if the lockdown release had a positive impact on energy consumption and if richer regions were quicker to recover their energy consumption to the level before the lockdown. Using the autoregressive distributed lag (ARDL) model, the study reveals that a long-run relationship holds between the COVID-19 cases and energy consumption and that the COVID-19 cases have a positive effect on Indian energy consumption. This result indicates that as lockdown relaxed, energy consumption started to recover. However, such a positive impact was not apparent in the Eastern and North-Eastern regions, which are the poorest regions among the five regions investigated in the study. This implies that poorer regions need special aid and policy to recover their economy from the damage suffered from the COVID-19 crisis.
Publisher: MDPI AG
Date: 30-07-2021
DOI: 10.3390/SU13158534
Abstract: Quarantining at home during the COVID-19 pandemic significantly restricted human mobility such as visits to parks, grocery stores, workplaces, retail places, and transit stations. In this research, we analyzed how the changes in human mobility during the first wave of the COVID-19 pandemic, from February to April 2020 (i.e., between 17 February and 30 April 2020), affected the daily CO2 emissions for countries having a high number of coronavirus cases at that time. Our daily time-series analyses indicated that when average hours spent at home increased, the amount of daily CO2 emissions declined significantly. The findings suggest that for all three countries (the US, India, and France), a 1% increase in the average duration spent in residential areas reduced daily CO2 emissions by 0.17 Mt, 0.10 Mt, and 0.01 Mt, respectively, during the first wave period. Thus, confining people into their homes contributes to cutting down CO2 emissions remarkably. However, the study also reveals those activities such as visiting parks and going grocery shopping increase CO2 emissions, suggesting that unnecessary human mobility is undesirable for the environment.
Publisher: Springer Science and Business Media LLC
Date: 07-01-2019
Publisher: Elsevier BV
Date: 06-2018
Publisher: MDPI AG
Date: 07-08-2022
DOI: 10.3390/SU14159719
Abstract: The state of emergency (SOE) period in Tokyo under the COVID-19 pandemic restricted people to staying in their homes and changed human mobility, which has impacted the major agricultural markets in Tokyo. In this research, we analyzed how the changes in people’s staying-at-home behaviors during the four SOE periods (7 April 2020–28 October 2021) in Tokyo affected the daily market prices of cabbage, tomato, Japanese radish, carrot, and potato. Using the autoregressive distributed lag (ARDL) model, the study reveals that all the investigated vegetables except potatoes have a long-term relationship with the staying-at-home index. The long-term influence of staying-at-home behaviors on cabbage, tomato, radish, and carrot markets during the early SOE periods had a negative impact on these vegetable prices, indicating that an increase in the hours of staying-at-home as related to SOE measures might have decreased the demand for these vegetables. The negative impact of the stay-at-home index on vegetable prices lessened in the fourth SOE period, likely because more people did not remain in their homes. Moreover, the study findings reveal that, compared to less perishable vegetables, the price of perishable vegetables is more likely to have been affected by human mobility constraints during the pandemic. Therefore, agricultural policymakers should consider providing subsidies to producers based on the negative influence on market prices of perishable and less perishable vegetables in pandemic situations, such as COVID-19.
Publisher: Elsevier BV
Date: 02-2018
No related grants have been discovered for Md Monirul Islam.