The impact of government policies on reducing social deviations in society

Author(s):  
Nasser Zahedi
2005 ◽  
pp. 60-71
Author(s):  
E. Serova ◽  
O. Shick

Russian policy makers argue that agriculture suffers from decapitalization due to financial constraints faced by producers. This view is the basis for the national agricultural policy, which emphasizes reimbursement of input costs and substitutes government and quasi-government organizations for missing market institutions. The article evaluates the availability of purchased farm inputs, the efficiency of their use, the main problems in the emergence of market institutions, and the impact of government policies. The analysis focuses on five groups of purchased inputs: farm machinery, fertilizers, fuel, seeds, and animal feed. The information sources include official statistics and data from two original surveys.


2005 ◽  
Vol 29 (2) ◽  
pp. 173-184 ◽  
Author(s):  
Lew Perren ◽  
Peter L. Jennings

The belief in market–driven ideology and the assumption that new business ventures create jobs and foster innovation has embedded entrepreneurship into political discourse. Academics have analyzed government policies on entrepreneurship, but they have tended to share the same underlying beliefs in the function of entrepreneurs within the economic machine. This article explores selected dimensions of the impact of those beliefs by using critical discourse analysis to show how government websites around the world portray entrepreneurs and their role in society. Discourses of government power and self–legitimization are revealed that manifest themselves in a colonizing discourse of entrepreneurial subjugation. The article concludes by challenging government rhetoric on entrepreneurship and questioning the motives underpinning the agenda of government involvement in supporting entrepreneurs.


2016 ◽  
Vol 9 (1) ◽  
pp. 231
Author(s):  
Roland Y H Silitonga ◽  
Joko Siswanto ◽  
Tota Simatupang ◽  
Senator Nur Bahagia

Purpose: The purpose of this research is to develop a model that will explain the impact of government policies to the competitiveness of palm oil industry. The model involves two commodities in this industry, namely crude palm oil (CPO) and refined palm oil (RPO), each has different added value. Design/methodology/approach: The model built will define the behavior of government in controlling palm oil industry, and their interactions with macro-environment, in order to improve the competitiveness of the industry. Therefore the first step was to map the main activities in this industry using value chain analysis. After that a conceptual model was built, where the output of the model is competitiveness of the industry based on market share. The third step was model formulation. The model is then utilized to simulate the policy mix given by government in improving the competitiveness of Palm Oil Industry. Research limitations/implications: The model was developed using only some policies which give direct impact to the competitiveness of the industry. For macro environment input, only price is considered in this model. Practical implications: The model can simulate the output of the industry for various government policies mix given to the industry. Originality/value: This research develops a model that can represent the structure and relationship between industry, government and macro environment, using value chain analysis and hierarchical multilevel system approach.


2019 ◽  
Vol 43 (3) ◽  
Author(s):  
Ari Abdul Rouf ◽  
Arief Daryanto ◽  
Anna Fariyanti

The objectives of this study were to analyze the competitiveness of the beef cattle farming in Gorontalo District, to analyze the impact of government policies on competitiveness and to analyze the impact of changes in input and output factors of production to competitiveness. Primary data were obtained from 60 respondents were selected using non-probability sampling method. The analysis methods used were Policy Analysis Matrix (PAM) and sensitivity analysis. The results of the analysis showed that the commodity beef cattle in Gorontalo District has a weak competitiveness. The impact of policy to the beef cattle farming showed that the farmers are not protected by government policies (EPC<1). The impact of changes in input and output of production on the competitiveness showed that: 1) the increase in the price of domestic meat and the world respectively 8.44%  and 10% will increase the competitiveness, 2) an increase in the price of feeder cattle at 3.28%, forage feed costs by 10% and labor costs by 10% will impact beef cattle farming do not have a competitive advantage but still have a comparative advantage, and 3) increase in meat production about 12.72% will increase the competitiveness of beef cattle.


2021 ◽  
Vol 2 (4) ◽  
pp. 254-262
Author(s):  
Intan Surya Lesmana ◽  
Siti Saadah

This study aims to analyze the impact of the COVID-19 pandemic on Indonesia’s stock market performance. Considering the characteristics of daily stock return data that shows the characteristics of volatility clustering, the analytical method used is to develop a heteroscedastic model specification whose parameters are estimated using the maximum likelihood method. Based on data from March 2020 to January 2021, this study finds that the Exponential-GARCH asymmetric model is the best model compared to the Standard-GARCH symmetric model or the asymmetric Threshold-GARCH model. The inference analysis conducted on the Exponential-GARCH asymmetric model in this study shows that the stock market's performance that is significantly affected by this pandemic is the volatility of its returns. Stock price volatility is one of the important variables in stock market performance. This study produces empirical findings that government policies on social restrictions contribute significantly to suppressing stock market volatility. As for government policies in mitigating the risk of the spread of the epidemic, in this study, it is measured through a stringency index. This index was released by the Oxford COVID-19 Government Response Tracker (OxCGRT) which monitors the government's response to the coronavirus in 160 countries and is a parameter that evaluates the policies taken by a country's government based on nine metrics. This index does not measure the effectiveness of a country's government response, but only the level of tightness. However, the results of the tests carried out in this study did not find a significant impact of pandemic indicators, the number of cases, and the number of daily deaths related to COVID-19 on stock returns.


Author(s):  
John Owuike Iheme ◽  
James Bassey Effiong ◽  
Samuel Bassey Ekung

Housing is one of the most important needs of individuals next to food and clothing. Housing needs for low income earners has reached an alarming stage in Nigeria. On the supply side, numerous government policies have earlier aimed at disabling the massive shortage through numerous housing reform programmes. Despite these preceding efforts, housing remains an illusion to an average Nigerian. This research assessed the effect of government policy on housing delivery in Nigeria. The objectives were to determine housing needs of the low income group in Nigeria and to determine the impact of government policies on affordable housing provision to the low income group. Survey method was used to collect data from 44 respondents through the administration of questionnaires which was analyzed with statistical tools. The findings from the study shows that insufficient fund is closely related to other finance related factors identified as barriers to the accessibility of public housing by the low income group who are non-public servants. Such factors as high interest rate, low per capita income, lack of security of income, lack of collateral and high cost of public houses. The study suggest the creation of a viable secondary mortgage market, improvement of land registration and allocation, compassionate urban renewal programmes, cost saving house designs amongst others.


Author(s):  
Swithin S. Razu ◽  
Shun Takai

The aim of this paper is to study the impact of public government policies, fuel cell cost, and battery cost on greenhouse gas (GHG) emissions in the US transportation sector. The model includes a government model and an enterprise model. To examine the effect on GHG emissions that fuel cell and battery cost has, the optimization model includes public policy, fuel cell and battery cost, and a market mix focusing on the GHG effects of four different types of vehicles, 1) gasoline-based 2) gasoline-electric hybrid or alternative-fuel vehicles (AFVs), 3) battery-electric (BEVs) and 4) fuel-cell vehicles (FCVs). The public policies taken into consideration are infrastructure investments for hydrogen fueling stations and subsidies for purchasing AFVs. For each selection of public policy, fuel cell cost and battery cost in the government model, the enterprise model finds the optimum vehicle design that maximizes profit and updates the market mix, from which the government model can estimate GHG emissions. This paper demonstrates the model using FCV design as an illustrative example.


Author(s):  
Ramona Sue McNeal ◽  
Susan M. Kunkle ◽  
Lisa Dotterweich Bryan

Cyberbullying is the use of information technology to deliberately hurt, taunt, threaten or intimidate someone. Currently, there are no federal statutes in the United States which directly address this problem. The response of the states has varied from attempting to use existing anti-bullying laws to limit cyberbullying to passing new laws that specifically target cyberbullying behavior. An important question is, “why are some states taking a lead in combating this cybercrime through new laws while others are relying on existing laws?” The literature on policy adoption suggests politics, resources and public need are important factors in predicting why certain states are more likely to enact government policies. This chapter analyzes the impact of these factors and others on policy adoption by exploring the level of legislative action to update existing cyberbullying laws for 2009 through 2014.


2020 ◽  
Vol 32 (3) ◽  
pp. 457-476
Author(s):  
Nithya Shankar ◽  
Bill Francis

Purpose The paper aims to investigate the impact of economic policy uncertainty (EPU) (i.e. uncertainty due to government policies) on fine wine prices. Design/methodology/approach The paper uses the Baker et al. (2016) monthly news-based measure of EPU for the leading wine markets: the USA, the UK, France, Germany and China in conjunction with monthly fine wine pricing data from the London International Vintners Exchange (Liv-ex). The wine sub-indices used are the Liv-ex 500 (Bordeaux), Burgundy 150, Champagne 50, Rhone 100, Italy 100, California 50, Port 50 and Rest of the World 50. The Prais–Winsten and Cochrane–Orcutt regressions are used for our analyses to correct for effects of serial correlation. Time lags are chosen based on the appropriate information criterion. Findings Changes in EPU levels negatively impact changes in the Liv-ex 500 index for all our leading wine markets except France, the Champagne 50 index for the UK and the Burgundy 150 and the Rhone 100 indices for Germany, with the effects being significant for at least up to a quarter before EPU is detected. The authors did not find significant results for the EPU of France. Practical implications The paper aims to provide insights into whether EPU creates opportunities or threats for investors and wineries. Originality/value A forward-looking news-based EPU measure is used to gain insights into how the different Liv-ex sub-indices react to increases in uncertainty centered around government policies across a sample of different countries.


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