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.
The study was conducted to measure the contribution of women to their household income, to analyze the pattern of womens participation in decision making process, their perceptions and impact of income on decision making process. The study was carried out at three villages of Mymensingh Sadar Upazila. Data were collected from 50 rural households by random sampling technique with a structured questionnaire. The obtained data were analyzed by using tabular and different statistical techniques. The results of the study showed that the pattern of womens contribution to household income has been changed. In the study area, women were participating in various income generating activities such as crop production, post-harvest activities, poultry rearing, management of livestock and fisheries, etc. Male and female rendered their involvement in income generating activities for 220 man-days and 204 man-days per year, respectively. The average annual womens contribution to household income was estimated at Tk. 42000 per year which was about 43.52 percent of the total household income. The multiple regression analysis showed that womens income was positively related with womens education and farm size but negatively related with age, family size and indebtedness. A logistic regression analysis showed that womens participation in decision making process was negatively related with family size, but positively related with respondents age, education, farm size, income and occupation. Women rendered a great deal of contribution in making decision on post-harvest operation, management of production activities, selling of crops, rearing poultry, goat and cattle, purchasing of agricultural inputs, etc. To reduce their economic, social and political constraints, the study suggested providing logistic supports such as health care facility, credit facility, input supply, agricultural extension services, need-based training, etc. in order to increase their participation in income generating activities and different household decision making events.Progressive Agriculture 28 (2): 120-129, 2017
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.
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