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Arifa Jannat
Institute of Agribusiness and Development Studies, Bangladesh Agricultural University, Mymensingh 2202, Bangladesh

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Journal article
Published: 30 July 2021 in Sustainability
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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.

ACS Style

Kentaka Aruga; Monirul Islam; Arifa Jannat. Does Staying at Home during the COVID-19 Pandemic Help Reduce CO2 Emissions? Sustainability 2021, 13, 8534 .

AMA Style

Kentaka Aruga, Monirul Islam, Arifa Jannat. Does Staying at Home during the COVID-19 Pandemic Help Reduce CO2 Emissions? Sustainability. 2021; 13 (15):8534.

Chicago/Turabian Style

Kentaka Aruga; Monirul Islam; Arifa Jannat. 2021. "Does Staying at Home during the COVID-19 Pandemic Help Reduce CO2 Emissions?" Sustainability 13, no. 15: 8534.

Journal article
Published: 29 April 2021 in Sustainability
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From the perspective of nutritional security, we investigated the influence of climate change on potato production in Bangladesh using a supply and demand model by considering the potato as an important non-cereal food crop. To provide an outlook on the variation in potato supplies and market prices under changing climatic factors (temperature, rainfall, and solar-radiation), the yield, area, import, and demand functions were assessed using district-level time-series data of Bangladesh (1988–2013), disaggregated into seven climatic zones. Results suggest that temperatures above or below the optimal range (18–22 °C) lowered yields. Little rainfall and low solar radiation hinder potato cultivation areas during the potato maturity stage. During the simulated period, the annual production was projected to rise from 88 to 111 million metric tons (MT), with an equilibrium farm price of 155 to 215 US dollars MT−1. Between 2014 and 2030, the nation’s per-capita potato intake is expected to increase from 49 to 55 kg year−1 because of changing dietary patterns. According to the estimated equilibrator, scenario simulations that incorporated various dimensions of Intergovernmental Panel on Climate Change (IPCC) scenarios indicate that potato production and consumption can increase in the future.

ACS Style

Arifa Jannat; Yuki Ishikawa-Ishiwata; Jun Furuya. Assessing the Impacts of Climate Variations on the Potato Production in Bangladesh: A Supply and Demand Model Approach. Sustainability 2021, 13, 5011 .

AMA Style

Arifa Jannat, Yuki Ishikawa-Ishiwata, Jun Furuya. Assessing the Impacts of Climate Variations on the Potato Production in Bangladesh: A Supply and Demand Model Approach. Sustainability. 2021; 13 (9):5011.

Chicago/Turabian Style

Arifa Jannat; Yuki Ishikawa-Ishiwata; Jun Furuya. 2021. "Assessing the Impacts of Climate Variations on the Potato Production in Bangladesh: A Supply and Demand Model Approach." Sustainability 13, no. 9: 5011.

Review
Published: 03 December 2020 in World
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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.

ACS Style

Monirul Islam; Arifa Jannat; Dewan Al Rafi; Kentaka Aruga. Potential Economic Impacts of the COVID-19 Pandemic on South Asian Economies: A Review. World 2020, 1, 283 -301.

AMA Style

Monirul Islam, Arifa Jannat, Dewan Al Rafi, Kentaka Aruga. Potential Economic Impacts of the COVID-19 Pandemic on South Asian Economies: A Review. World. 2020; 1 (3):283-301.

Chicago/Turabian Style

Monirul Islam; Arifa Jannat; Dewan Al Rafi; Kentaka Aruga. 2020. "Potential Economic Impacts of the COVID-19 Pandemic on South Asian Economies: A Review." World 1, no. 3: 283-301.

Journal article
Published: 13 July 2020 in Sustainability
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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.

ACS Style

Kentaka Aruga; Monirul Islam; Arifa Jannat. Effects of COVID-19 on Indian Energy Consumption. Sustainability 2020, 12, 5616 .

AMA Style

Kentaka Aruga, Monirul Islam, Arifa Jannat. Effects of COVID-19 on Indian Energy Consumption. Sustainability. 2020; 12 (14):5616.

Chicago/Turabian Style

Kentaka Aruga; Monirul Islam; Arifa Jannat. 2020. "Effects of COVID-19 on Indian Energy Consumption." Sustainability 12, no. 14: 5616.

Article
Published: 09 September 2019 in GeoJournal
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The study was accomplished to examine the impact of agricultural modernization on sustainable livelihood among the tribal and non-tribal farmers in Bangladesh. Two districts had been selected purposively as study areas which were Sherpur and Mymensingh districts. A total of 160 households (i.e., 80 samples from each district and 40 from tribal and 40 from non-tribal community) were interviewed from different villages for field survey where the indigenous people were involved with different agricultural practices. The majority (43.7%) of the tribal farmers had no education whereas only 30% of the non-tribal farmers were illiterate. It is also showed that 22.5% tribal farmers were engaged in crop cultivation where it was 26.25% for non-tribal farmers. Most of the tribal and non-tribal farmers opined that training is essential for operating new technology. Majority of the farmers had low extent of using modern agricultural practices in the study areas. The Simpson livelihood diversification index was found higher for crop cultivation as well as small business group. The households in the study areas are likely to have a diversified livelihood when they have better education. The scope for livelihood diversification also gets boosted when there was better irrigation, educational and membership facilities. Five components altogether explained about (74.10%) of total variations and first three components account for about half of the variations of the model results. In spite of all problems and threats, there is a strong and great prospect for the upliftment of living standards of underprivileged people through agricultural innovations.

ACS Style

Arifa Jannat; Monirul Islam; Shah Alamgir; Dewan Abdullah Al Rafi; Jasim Uddin Ahmed. Impact assessment of agricultural modernization on sustainable livelihood among tribal and non-tribal farmers in Bangladesh. GeoJournal 2019, 86, 399 -415.

AMA Style

Arifa Jannat, Monirul Islam, Shah Alamgir, Dewan Abdullah Al Rafi, Jasim Uddin Ahmed. Impact assessment of agricultural modernization on sustainable livelihood among tribal and non-tribal farmers in Bangladesh. GeoJournal. 2019; 86 (1):399-415.

Chicago/Turabian Style

Arifa Jannat; Monirul Islam; Shah Alamgir; Dewan Abdullah Al Rafi; Jasim Uddin Ahmed. 2019. "Impact assessment of agricultural modernization on sustainable livelihood among tribal and non-tribal farmers in Bangladesh." GeoJournal 86, no. 1: 399-415.

Data article
Published: 17 November 2017 in Data in Brief
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The study was conducted to document farmers’ livelihood aspects and agribusiness potentials in wetland areas of Bangladesh. A total of 120 farmers and 24 service providers were interviewed for data collection. Most of the farmers were small farmers having less than 1.0 ha of cultivable land. The differences in productivity of crop farming and poultry rearing between wetland area and main land were statistically significant. Favorable farm environment and proper utilization of agricultural resources were major strength and opportunity. The data may be helpful for formation of agribusiness clusters involving input suppliers, credit/financial organizations and different support service providers for more income, better nutrition and improved livelihood of the wetland people.

ACS Style

Aurup Ratan Dhar; Monirul Islam; Arifa Jannat; Jasim Uddin Ahmed. Wetland agribusiness aspects and potential in Bangladesh. Data in Brief 2017, 16, 617 -621.

AMA Style

Aurup Ratan Dhar, Monirul Islam, Arifa Jannat, Jasim Uddin Ahmed. Wetland agribusiness aspects and potential in Bangladesh. Data in Brief. 2017; 16 ():617-621.

Chicago/Turabian Style

Aurup Ratan Dhar; Monirul Islam; Arifa Jannat; Jasim Uddin Ahmed. 2017. "Wetland agribusiness aspects and potential in Bangladesh." Data in Brief 16, no. : 617-621.