Open Access Original Research Article

Agriculture Productivity and Economic Growth in India: An Ardl Model

Shoaib Ansari, . Ashkra, Krishna Kumar Jadaun

South Asian Journal of Social Studies and Economics, Page 1-9
DOI: 10.9734/sajsse/2022/v15i430410

Purpose: The research aims to investigate agricultural production and its influence on India's economic growth.

Methods: The ADF test has been used to determine variable stationarity. Using secondary data from 1991 to 2020, the ARDL Model was used to estimate the long-run and short-run links between agricultural production and economic growth.

Findings: Our empirical findings reveal that the GCF and inflation rate are negatively correlated with economic growth in the short and long term. In contrast, all other factors have a positive link with economic growth.

Research Implication: We believe that The government has employed various tactics to maintain farm prices and profits. They imposed production limitations and subsidy programs that made direct payments to farmers. It is more efficient for the government to supply farmers with the required inputs, and farmers can use those cost-effective inputs in various agricultural operations.

Future Research Suggestion: The research has certain flaws because it only looks at five different crops and evaluates their influence on economic expansion over the previous three decades. The new study, with its many variables and long year, presents an opportunity to boost India's agricultural output, despite the fact that it has several flaws.

Open Access Original Research Article

The Capacities of Learning and Knowledge Management in the Performance of Organizational Mediations in the Telecommunications Sector

Nova Deswira, Veithzal Rivai Zainal, Lenny Christina Nawangsari

South Asian Journal of Social Studies and Economics, Page 10-25
DOI: 10.9734/sajsse/2022/v15i430411

The telecommunication industry is rapidly developing along with the development of technology infrastructure. These conditions force telecommunications companies to improve the company's performance to be able to grow a competitive advantage over other competitors. This study aims to identify important factors in improving company performance. The data in this study were collected from 290 questionnaires filled out by workers from one of the government-owned telecommunications companies, which were divided into several units within one Directorate of Finance and Risk Management. The data obtained in the process using the PLS-SEM data analysis technique with an exploratory approach. This study found the relationship between organizational trust and organizational performance was found to have a positive and significant influence, the relationship between leadership and organizational performance was found to have no influence. The relationship between organizational trust and organizational learning capability was found to have a positive and significant influence. organizational trust was found to have a positive and significant influence on knowledge management. Leadership was found to have a positive and significant influence on Knowledge Management. knowledge management had a positive and significant effect on organizational learning capability. organizational learning capability was found to have a positive and significant effect on organizational performance. knowledge management has a positive and significant effect on organizational performance. In indirect relationship found organizational learning capability and knowledge management are essential in mediating the relationship between organizational trust and leadership. The results in this study can be used as references and suggestions for both the company and further researchers.

Open Access Original Research Article

Macroeconomic Aggregates and Oil Price Vagaries in Nigeria: An Impact Assessment

Bright Enakhe Onime

South Asian Journal of Social Studies and Economics, Page 26-40
DOI: 10.9734/sajsse/2022/v15i430412

This study investigated the impact of negative oil price changes on macroeconomic aggregates in Nigeria from 1981 to 2020 using the autoregressive distributed lagged (ARDL) and the vector error correction models. Evidence from the findings showed that unemployment, foreign direct investment, and real gross domestic product are important determinants of oil price vagaries. In addition, there is empirical support for a positive relationship between oil price and unemployment on the one hand and a negative relationship between oil price and imports, foreign direct investment, and real gross domestic product on the other hand in both the short and long run. This implies that any decline in oil price is associated with a decrease in foreign direct investment and imports, and an increase in unemployment thereby resulting to the worsening of real gross domestic product in Nigeria during the period. In view of the findings, the study recommends a culture of uninterrupted savings of oil proceeds during episodes of oil price boom and by implication boosting of foreign reserves to provide sufficient cover for imports during periods of oil price decrease. In addition to this recommendation is the continuous clamour for a properly diversified economy away from oil dependence. In periods of negative oil price shocks which discourages investment, the government should encourage investors through various incentives such as tax holidays and havens, reduce cost of funds using the appropriate agency of government and ensure the provision of enabling environment and infrastructure (such as power, security, and roads) for investments to strive and improvement in the ease of doing business in the country. This will result in job creation; reduce unemployment and poverty, thereby improving the gross domestic product.

Open Access Original Research Article

Effectiveness of Monetary Policy Instruments on Bank Liquidity Management

Ladi R. Bala-Keffi, Joseph O. B. Tawose, Olufunmilayo S. Tajudeen, Abdul-Aziz Hamza, Emmanuel O. James

South Asian Journal of Social Studies and Economics, Page 41-61
DOI: 10.9734/sajsse/2022/v15i430413

Recognising the importance of monetary and price stability for sustainable growth, many countries’ Central Banks often set certain liquidity targets to be achieved using various monetary policy instruments. This study fills the gap in the literature by employing the ARDL Bounds test to examine the relative effectiveness of a combination of quantity- and price-based policy instruments used by the Central Bank of Nigeria to regulate the level of bank liquidity. Also, the likelihood ratio test is used to determine whether monetary policy instruments work better as a complement (or substitute) concerning liquidity management. Using quarterly data covering 2008/Q1-2020/Q2, we found that, price-based instruments mostly impact liquidity levels in the short- and long-run. The quantity-based instrument shows a significant impact at second lag. However, the impacts of some policy instruments were inconsistent which is partly due to their low usage as short-run measures. We found all the six monetary instruments considered in this study to be complementary for liquidity management. By implication, the combination of monetary instruments for liquidity management is in order. While MPR remains crucial in determining liquidity, a continuous review of its operationality to identify and reduce possible distortions will be beneficial. Also, there is a need for CBN to reassess the disbursement of interventions and their implications on liquidity.

Open Access Original Research Article

Tourism Post COVID-19: What’s New in Indonesian Tourism Demand Trends?

Suci Sandi Wachyuni, . Murhadi, Kadek Wiweka, Irwanda Wisnu Wardhana

South Asian Journal of Social Studies and Economics, Page 62-73
DOI: 10.9734/sajsse/2022/v15i430414

Purpose of the Study: The purpose of this research is to determine Indonesian tourism demand trends and gather understanding into how to restore tourism following the Covid-19 pandemic.

Methodology: This study employs a quantitative approach and was conducted in Indonesia in March-April 2020. Data was collected using a survey method via social media broadcast messages, with 100 respondents. Descriptive statistics were utilized in the data analysis technique.

Main Findings: According to the findings of this study, the decrease in the number of domestic tourists is less than that of foreign tourists. Natural and culinary tourism destinations in the country are the most popular, particularly for short trips. This study also discovered that after the Covid-19 pandemic, tourists have positive travel intentions.

Implication/Applications: This study's theoretical implication is that catastrophic diseases like Covid-19 have a significant impact on tourist visits and demand. The practical implication of this research is that destination managers, governments, and business stakeholders could utilize this information to develop a tourism development strategy following the Covid-19 pandemic.

The Originality of the Study: The limitation of this research is the data collection method which is dominated by surveys. Therefore, further research is expected to conduct an in-depth study related to the reasons tourists are interested in post-covid traveling.