Endogenous Lobby Formation and Endogenous Protection: A Long-Run Model of Trade Policy Determination

1999 ◽  
Vol 89 (5) ◽  
pp. 1116-1134 ◽  
Author(s):  
Devashish Mitra

This paper provides a theory of lobby formation within a framework in which trade policy is determined through political contributions. Under certain conditions, free trade turns out to be an equilibrium outcome either when the government has a high affinity for political contributions or when it cares a great deal about social welfare. Moreover, greater inequality in asset distribution results in a greater number of lobbies and, in most cases, more protection for each of these lobbies. Furthermore, industries with higher levels of capital stock, fewer capitalists, more inelastic demand, and smaller geographical dispersion are the ones that get organized. (JEL F10, F13)

2021 ◽  
Vol 4 (3) ◽  
Author(s):  
Srinivas Gumparthi ◽  
◽  
Pradeepa S.

This paper ‘Demonetization Impact on Liquidity of Large Corporates in India’ focuses on the changes in the Liquidity pattern of the companies’ in-order to cope up with the Business Risk that emerged due to the unforeseen Demonetization Policy of the Government of India. The study aimed at finding the performance of various sectors on liquidity parameters during pre and post demonetization period. The study covered the companies listed in NIFTY 50 over the period of 6 years from 2014-2019. The methodology used for analysis is the longitudinal study under descriptive analysis as it involves the repeated observations of the same variables over a period of time. As the paper focuses on the top companies listed, though companies faced the uncertainty during that particular period of demonetization, they bounced back at the earlier than the MSME companies. Some sectors like FMCG, Pharmaceutical were immune to demonetization as it has an inelastic demand in the market and demonetization created giant opportunities for the software sector as the country has been shifted towards digitalization. Found short-term implications for the cash-intensive sectors but in the long run it helps in the growth of the economy, which in turn will have a positive correlation with the growth of companies.


2021 ◽  
Author(s):  
Srinivas Gumparthi ◽  
Pradeepa S.

This paper ‘Demonetization Impact on Liquidity of Large Corporates in India’ focuses on the changes in the Liquidity pattern of the companies’ in-order to cope up with the Business Risk that emerged due to the unforeseen Demonetization Policy of the Government of India. The study aimed at finding the performance of various sectors on liquidity parameters during pre and post demonetization period. The study covered the companies listed in NIFTY 50 over the period of 6 years from 2014-2019. The methodology used for analysis is the longitudinal study under descriptive analysis as it involves the repeated observations of the same variables over a period of time. As the paper focuses on the top companies listed, though companies faced the uncertainty during that particular period of demonetization, they bounced back at the earlier than the MSME companies. Some sectors like FMCG, Pharmaceutical were immune to demonetization as it has an inelastic demand in the market and demonetization created giant opportunities for the software sector as the country has been shifted towards digitalization. Found short-term implications for the cash-intensive sectors but in the long run it helps in the growth of the economy, which in turn will have a positive correlation with the growth of companies.


2013 ◽  
Vol 10 (2) ◽  
pp. 159-179 ◽  
Author(s):  
Philip L. Martin

Agriculture has one of the highest shares of foreign-born and unauthorized workers among US industries; over three-fourths of hired farm workers were born abroad, usually in Mexico, and over half of all farm workers are unauthorized. Farm employers are among the few to openly acknowledge their dependence on migrant and unauthorized workers, and they oppose efforts to reduce unauthorized migration unless the government legalizes currently illegal farm workers or provides easy access to legal guest workers. The effects of migrants on agricultural competitiveness are mixed. On the one hand, wages held down by migrants keep labour-intensive commodities competitive in the short run, but the fact that most labour-intensive commodities are shipped long distances means that long-run US competitiveness may be eroded as US farmers have fewer incentives to develop labour-saving and productivity-improving methods of farming and production in lower-wage countries expands.


2016 ◽  
Vol 1 (1) ◽  
pp. 13-22
Author(s):  
Towaf Totok Irawan

Until now the government and private sector have not been able to address the backlog of 13.5 million housing units for ownership status and 7.6 million units for residential status. The high price of land has led to the high price of the house so that low-income communities (MBR) is not able to reach out to make a home purchase. In addition to the high price of land, tax factors also contribute to the high price of the house. The government plans to issue a policy for the provision of tax incentives, ie abolish VAT on home-forming material transaction. This policy is expected to house prices become cheaper, so the demand for housing increases, and encourage the relevant sectors to intensify its role in the construction of houses. It is expected to replace the lost tax potential and increase incomes. Analysis of the impact of tax incentives housing to potential state revenue and an increase in people's income, especially in Papua province is using the table IO because in addition to looking at the role each sector can also see the impact on taxes (income tax 21 Pph 25 Pph, VAT), and incomes (wage). Although in the short-term impact is still small, but very rewarding in the long run. Keywords: Backlog, Gross Input, Primary Input, Intermediate Input


2021 ◽  
Vol 14 (8) ◽  
pp. 350
Author(s):  
Odunayo Olarewaju ◽  
Thabiso Msomi

This study analyses the long- and short-term dynamics of the determinants of insurance penetration for the period 1999Q1 to 2019Q4 in 15 West African countries. The panel auto regressive distributed lag model was used on the quarterly data gathered. A cointegrating and short-run momentous connection was discovered between insurance penetration along with the independent variables, which were education, productivity, dependency, inflation and income. The error correction term’s significance and negative sign demonstrate that all variables are heading towards long-run equilibrium at a moderate speed of 56.4%. This further affirms that education, productivity, dependency, inflation and income determine insurance penetration in West Africa in the long run. In addition, the short-run causality revealed that all the pairs of regressors could jointly cause insurance penetration. The findings of this study recommend that the economy-wide policies by the government and the regulators of insurance markets in these economies should be informed by these significant factors. The restructuring of the education sector to ensure finance-related modules cut across every faculty in the higher education sector is also recommended. Furthermore, Bancassurance is also recommended to boost the easy penetration of the insurance sector using the relationship with the banking sector as a pathway.


Agronomy ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1463
Author(s):  
Ghulam Mustafa ◽  
Azhar Abbas ◽  
Bader Alhafi Alotaibi ◽  
Fahd O. Aldosri

Increasing rice production has become one of the ultimate goals for South Asian countries. The yield and area under rice production are also facing threats due to the consequences of climate change such as erratic rainfall and seasonal variation. Thus, the main aim of this work was to find out the supply response of rice in Malaysia in relation to both price and non-price factors. To achieve this target, time series analysis was conducted on data from 1970 to 2014 using cointegration, unit root test, and the vector error correction model. The results showed that the planted area and rainfall have a significant effect on rice production; however, the magnitude of the impact of rainfall is less conspicuous for off-season (season 2) rice as compared to main-season rice (season 1). The speed of adjustment from short-run to long-run for season-1 rice production is almost two-and-a-half years (five production seasons), while for season-2 production, it is only about one-and-a-half year (three production seasons). Consequently, the study findings imply the supply of water to be enhanced through better water infrastructure for both seasons. Moreover, the area under season 2 is continuously declining to the point where the government has to make sure that farmers are able to cultivate the same area for rice production by providing uninterrupted supply of critical inputs, particularly water, seed and fertilizers.


2018 ◽  
Vol 7 (10) ◽  
pp. 198
Author(s):  
Galia Benítez

In the creation of trade policy, business actors have the most influence in setting policy. This article identifies and explains variations in how economic interest groups use policy networks to affect trade policymaking. This article uses formal social network analysis (SNA) to explore the patterns of articulation or a policy network between the government and business at the national level within regional trade agreements. The empirical discussion herein focuses on Brazil and the setting of exceptions list to Mercosur’s common external tariff. It specifically concentrates on the relations between the Brazilian executive branch and ten economic subsectors. The article finds that the patterns of articulation of these policy networks matter and that sectors with stronger ties to key government decision-makers have a structural advantage in influencing trade policy and obtaining and/or maintaining their desired, privileged trade policies, compared with sectors that are connected to government actors with weak decision-making power, but might have numerous and diversified connections. Therefore, sectors that have a strong pluralist–clientelist policy structure with connections to government actors with decision-making power have greater potential for achieving their target policies compared with more corporatist policy networks.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ruchi Mittal ◽  
Wasim Ahmed ◽  
Amit Mittal ◽  
Ishan Aggarwal

Purpose Using data from Twitter, the purpose of this paper is to assess the coping behaviour and reactions of social media users in response to the initial days of the COVID-19-related lockdown in different parts of the world. Design/methodology/approach This study follows the quasi-inductive approach which allows the development of pre-categories from other theories before the sampling and coding processes begin, for use in those processes. Data was extracted using relevant keywords from Twitter, and a sample was drawn from the Twitter data set to ensure the data is more manageable from a qualitative research standpoint and that meaningful interpretations can be drawn from the data analysis results. The data analysis is discussed in two parts: extraction and classification of data from Twitter using automated sentiment analysis; and qualitative data analysis of a smaller Twitter data sample. Findings This study found that during the lockdown the majority of users on Twitter shared positive opinions towards the lockdown. The results also found that people are keeping themselves engaged and entertained. Governments around the world have also gained support from Twitter users. This is despite the hardships being faced by citizens. The authors also found a number of users expressing negative sentiments. The results also found that several users on Twitter were fence-sitters and their opinions and emotions could swing either way depending on how the pandemic progresses and what action is taken by governments around the world. Research limitations/implications The authors add to the body of literature that has examined Twitter discussions around H1N1 using in-depth qualitative methods and conspiracy theories around COVID-19. In the long run, the government can help citizens develop routines that help the community adapt to a new dangerous environment – this has very effectively been shown in the context of wildfires in the context of disaster management. In the context of this research, the dominance of the positive themes within tweets is promising for policymakers and governments around the world. However, sentiments may wish to be monitored going forward as large-spikes in negative sentiment may highlight lockdown-fatigue. Social implications The psychology of humans during a pandemic can have a profound impact on how COVID-19 shapes up, and this shall also include how people behave with other people and with the larger environment. Lockdowns are the opposite of what societies strive to achieve, i.e. socializing. Originality/value This study is based on original Twitter data collected during the initial days of the COVID-19-induced lockdown. The topic of “lockdowns” and the “COVID-19” pandemic have not been studied together thus far. This study is highly topical.


Author(s):  
Maimuna M Shehu ◽  
Ibrahim M Adamu

This paper investigates the factors governing the determination of budget deficit in Nigeria from 1981q1 through 2016q4. Our methodology is based on Johansen cointegration and Vector Error Correction model (VECM) approach. The result from the Johansen cointegration test suggests one cointegrating vector, which indicates the existence of a long run cointegrating relationship. Evidence from the long run and short run parameters suggest that exchange rate, interest rate and one year lag of budget deficit are the major determinants of budget deficit. Therefore, to achieve a realistic fiscal surplus, the government should determine a high level of accountability in its fiscal operations. In addition, any fiscal surplus should be channeled into productive investments to diversify the economy and reduce the likelihood of potential budget deficits.


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