다이센 수화제와 다이센 M-45, 비침투성 살균제를 공시하여 양귀비 노균병에 대한 약제 방제효과를 포장에서 조사하였다. 상기 다이센계통의 두약제는 타약제에 비하여 노균병의 방제에 효과적이었으며 라텍스 수량을 현저히 증가시켰다.

The aim of this paper is to understand the nature of transformation of the Chinese economy. China’s approach to the process of economic development in the aftermath of the reforms in the late 1970’s has been a success story and a phenomenon of great significance. It helped millions of people move out of poverty and achieve an acceptable standard of life. The economic policy of China was more effective than India’s; we measured this effectiveness in terms of two fundamental approach: first, growth was fundamental for ensuring and increasing the wellbeing as it increases total output in China compare to India; second, growth was pro-poor in China, but not in India, during the period 2000-2011. In this paper, we seek to explain how China reduced extreme poverty through reforms, and this reform experience of China stands out for three reasons. The first is renewed thrust on the rural economy and private sector, second is decentralized planning, and third is investment in human resource development. This experience of China’s reform success offers a significant lesson for most of the developing countries, especially India, since India has more similarities with China. Therefore, this experience is particularly insightful for India.

The present study aims to investigate the impact of tourism growth on human development in Indian economy. For this purpose, the study uses annual data from 1980 to 2018 and utilizes two proxies for tourism growth – tourism receipt and tourist arrivals – and uses human development index calculated by UNDP. The study uses control variables such as government expenditure and trade openness. The study employs auto regressive distributed lag (ARDL) approach to investigate the cointegrating relationship among the variables in the model. Further, the study also explores the causal nexus between tourism sector and human development by using the Toda-Yamamoto Granger non-causality test. The result of ARDL bounds test reveals the existence of cointegrating relationship between human development indicators, government expenditure, trade openness, and tourism sector growth. The cointegating coefficient confirms a positive and significant relationship between tourism sector growth and human development in India. The causality result suggests that economic growth and tourism have a positive impact while trade openness has a negative impact on human development in India. The major findings of this study suggest that tourism plays an important role in the socio-economic development of Indian economy in recent years and the country must develop this sector to achieve sustainable development.

This scholarly work is an effort to capture the effects of oil prices on the actual exchange rate between dollar and rupee. This is done with reference to the U.S. dollar as oil prices are marked in USD (U.S. Dollar) in the international market, and India is among the top five importers of oil. Using monthly data from January 2001 to May 2020. The study used the real GDP, money supply, short-term interest rate difference between two countries, and inflation apart from the crude oil prices per barrel as the factors that help define the exchange rate. The analysis, through cointegration and vector error correction method (VECM), suggests long and short-run causality amid prices of oil and the rate of exchange fluctuations. Oil prices are found to be negatively related to the exchange rate in the long term but positively related in the short term. The result of the Wald test also indicates the short-run causation from the short-term interest rate and the prices of crude oil towards the exchange rate. The present study shows that oil prices are evidence of the existence of short-term and long-term driving associations with short-term interest rates and exchange rates.

This research paper examines the causal relationship between India’s economic growth and sectoral contribution to Gross Domestic Product (GDP) and vice versa, in the short-run and long-run, over a 10 years time period. Johansen’s method of cointegration is used to study the cointegration between the sectoral contributions to Indian GDP vis-à-vis India’s economic growth. Further, the route of interconnection between economic growth and sectoral contribution is tested by using Vector Auto Regression (VAR) model. Special attention was given for investigating impulse responses of economic growth depending on the innovations in sectoral contribution using time-series data from 1960 to 2015. This paper highlighted a dynamic co-relationship among industrial sector contribution and agricultural sector contribution and economic development. In the long run, one percent change in industrial sector contribution causes an increase of 3.42 percent in the economic growth and an increase of 1.12 percent in the primary sector contribution, while in the short run industrial and service sector contributions showed significant impact on economic development and agriculture sector. The changing composition of sector contribution is going to be an important activity for the policymakers to monitor and control where the technology and integration of sectors play a significant role in economic development.

Purpose: The purpose of this research is to explore the continuum of reasons and skills employed by tribal Indian women entrepreneurs to establish their successful businesses in terrorist affected areas. Research design, data and methodology: After an extensive literature review on women’s entrepreneurship and their situations in disturbed areas, a qualitative research method was applied, and researchers conducted well-structured personal interviews to collect data from fifty respondents selected by using random and convenience sampling. Results: This study has identified the range of reasons for the successes of tribal women entrepreneurs. These are strict compliance with tribal culture and restrictions imposed by different stakeholders and the establishment of social networks and support from local communities and with their indefatigable and indomitable perseverance to proffer basic sustenance for their families. Conclusions: A minimum sample was selected from the Andhra-Odisha Border (AOB) areas due to security concerns. The research depicts the tribal Indian women entrepreneurs' grit and remorseless nature in overcoming impediments from the socio-cultural, economic, political, and legal framework of the country. This research is a gallant effort taken up by the authors, which is the first of its kind to visit as well as to conduct primary research in disturbed areas like the Andhra-Odisha Border in India.

The research investigates the impact of the lockdown period caused by the COVID-19 to the stock market of India. The study examines the extent of the influence of the lockdown on the Indian stock market and whether the market reaction would be the same in pre- and post-lockdown period caused by COVID-19. Market Model Event study methodology is used. A sample of 31 companies listed on Bombay Stock Exchange (BSE) are selected at random for the purpose of the study. The sample period taken for the study is 35 days (24 February-17 April, 2020). An event window of 35 days was taken with 20 days prior to the event and 15 days during the event. The event (t1) being the official announcement of the lockdown. The results indicate that the market reacted positively with significantly positive Average Abnormal Returns during the present lockdown period, and investors anticipated the lockdown and reacted positively, whereas in the pre-lockdown period investors panicked and it was reflected in negative AAR. The study finds evidence of a positive AR around the present lockdown period and confirms that lockdown had a positive impact on the stock market performance of stocks till the situation improves in the Indian context.