scholarly journals Estimating the Impact of Decoupled Payments on Farm Production in Northern Ireland: An Instrumental Variable Fixed Effect Approach

2020 ◽  
Vol 12 (8) ◽  
pp. 3222
Author(s):  
Kehinde Oluseyi Olagunju ◽  
Myles Patton ◽  
Siyi Feng
Keyword(s):  
Northern Ireland ◽  
Agricultural Policy ◽  
Instrumental Variable ◽  
Fixed Effect Model ◽  
Livestock Production ◽  
Fixed Effect ◽  
Agricultural Subsidies ◽  
Decoupled Payments ◽  
Current Production ◽  
The Impact

The production stimulating impact of agricultural subsidies has been a well-debated topic in agricultural policy analysis for some decades. In light of the EU reform of the Common Agricultural Policy (CAP) in year 2005 in which agricultural subsidies were decoupled from current production decisions and the modification to this payment in 2015, this study investigates the impact of decoupled payments under these two reforms on livestock production in Northern Ireland. The study uses a farm-level panel dataset covering 2008–2016 period and employs an instrumental variable fixed effect model to control for relevant sources of endogeneity bias. According to the empirical results, the production impacts of decoupled payments were positive and significant but with differential impacts across livestock production sectors, suggesting that decoupled payments still maintain a significant effect on agricultural production and provide an indication of the supply response to changes in decoupled payments.

A meta-analysis of the capitalisation of CAP direct payments into land prices

2021 ◽  
Author(s):  
Alessandro Varacca ◽  
Giovanni Guastella ◽  
Stefano Pareglio ◽  
Paolo Sckokai
Keyword(s):  
Agricultural Policy ◽  
Meta Analysis ◽  
Extensive Review ◽  
The European Union ◽  
Decoupled Payments ◽  
Land Prices ◽  
Implementation Scheme ◽  
Direct Payments ◽  
Meta Regression ◽  
The Impact

Abstract The impact of the European Union common agricultural policy direct payments on land prices has received substantial attention in recent years, leading to heterogeneous evidence of capitalisation for both coupled and decoupled payments. In this paper, we provide an extensive review of the empirical works addressing this issue econometrically and compare their results through a Bayesian meta-regression model, focussing on the impact of decoupling and its implementation schemes. We find that the introduction of decoupled payments increased the capitalisation rate, although the extent of this increment hinges on the implementation scheme adopted by the member state.

The impact of unmeasured within- and between-cluster confounding on the bias of effect estimatorsof a continuous exposure

2019 ◽  
Vol 29 (8) ◽  
pp. 2119-2139
Author(s):  
Yun Li ◽  
Yoonseok Lee ◽  
Friedrich K Port ◽  
Bruce M Robinson
Keyword(s):  
Mixed Models ◽  
Instrumental Variable ◽  
Linear Mixed Models ◽  
Fixed Effect ◽  
Alternative Methods ◽  
Continuous Exposure ◽  
Unmeasured Confounding ◽  
Instrumental Variable Analysis ◽  
The Impact ◽  
Variable Analysis

Unmeasured confounding almost always exists in observational studies and can bias estimates of exposure effects. Instrumental variable methods are popular choices in combating unmeasured confounding to obtain less biased effect estimates. However, we demonstrate that alternative methods may give less biased estimates depending on the nature of unmeasured confounding. Treatment preferences of clusters (e.g. physician practices) are the most frequently used instruments in instrumental variable analyses. These preference-based instrumental variable analyses are usually conducted on data clustered by region, hospital/facility, or physician, where unmeasured confounding often occurs within or between clusters. We aim to quantify the impact of unmeasured confounding on the bias of effect estimators in instrumental variable analysis, as well as several common alternative methods including ordinary least squares regression, linear mixed models, and fixed-effect models to study the effect of a continuous exposure (e.g. treatment dose) on a continuous outcome. We derive closed-form expressions of asymptotic bias of estimators from these four methods in the presence of unmeasured within- and/or between-cluster confounders. Simulations demonstrate that the asymptotic bias formulae well approximate bias in finite samples for all methods. The bias formulae show that instrumental variable analyses can provide consistent estimates when unmeasured within-cluster confounding exists, but not when between-cluster confounding exists. On the other hand, fixed-effect models and linear mixed models can provide consistent estimates when unmeasured between-cluster confounding exits, but not for within-cluster confounding. Whether instrumental variable analyses are advantageous in reducing bias over fixed-effect models and linear mixed models depends on the extent of unmeasured within-cluster confounding relative to between-cluster confounding. Furthermore, the impact of unmeasured between-cluster confounding on instrumental variable analysis estimates is larger than the impact of unmeasured within-cluster confounding on fixed-effect model and linear mixed model estimates. We illustrate the use of these methods in estimating the effect of erythropoiesis stimulating agents on hemoglobin levels. Our findings provide guidance for choosing appropriate methods to combat the dominant types of unmeasured confounders and help interpret statistical results in the context of unmeasured confounding.

scholarly journals Determinants of Financial Performance of Nepalese Commercial Banks: Evidence from Panel Data Approach

2020 ◽  
Vol 32 (2) ◽  
pp. 45-59
Author(s):  
Purna Man Shrestha
Keyword(s):  
Panel Data ◽  
Financial Performance ◽  
Commercial Banks ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Lagrangian Multiplier ◽  
Effect Model ◽  
Specific Factors ◽  
The Impact ◽  
Bank Specific Factors

The impact of bank specific factors on the financial performance of Nepalese commercial banks is analyzed in this paper. The financial performance is measured by using return on assets (ROA). Similarly, managerial efficiency (ME), liquidity (LIQ), credit risk (CR), assets quality (AQ) and operational efficiency (OE) is used as proxy of bank specific factors. This study used panel data of 17 commercial banks for the period of 2010/11 to 2017/18. Breusch and Pagan Lagrangian multiplier test showed that Pooled Regression model is not appropriate and Hausman test concluded that Fixed Effect model is appropriate rather than Random Effect model. Using the Fixed Effect model; this study concludes that bank specific factors have significant impact on financial performance of Nepalese commercial banks. Finally, this study reveals that ME, AQ and OE have significant positive impact, and CR has negative impact on the financial performance of Nepalese commercial banks.  

scholarly journals Managing Climate Change for Wheat Production: An Evidence from Southern Punjab, Pakistan

2019 ◽  
Vol 1 (2) ◽  
pp. 48-58
Author(s):  
Muhammad Haseeb Raza ◽  
Allah Bakhsh ◽  
Muhammad Kamran
Keyword(s):  
Climate Change ◽  
Negative Impact ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Wheat Production ◽  
Panel Model ◽  
Effect Model ◽  
Tube Wells ◽  
Relationship Of ◽  
The Impact

The current research study was conducted to estimate the impact of climate change on wheat production by using panel data from 1998-2014.  For this purpose four districts were selected from southern Punjab, Pakistan. Panel model of fixed effect (FE) was estimated at region level for wheat productivity utilizing climatic and non-climatic variables based on season. The conclusion of the study showed that non-climatic, i.e. inputs, number of tractors, area under wheat, number of tube wells and fertilizer consumption in each district have significant impact on the wheat production. The fixed effect model results revealed that the increase in temperature has significance impact on the month of the November and January, while it showed negative impact in the month of April. The results also showed a non-linear relationship of precipitation for the months of April and November.

scholarly journals Assessing Impacts of CAP Subsidies on Financial Performance of Enterprises in Slovak Republic

2020 ◽  
Vol 12 (3) ◽  
pp. 948 ◽  
Author(s):  
Ivana Kravčáková Vozárová ◽  
Rastislav Kotulič ◽  
Roman Vavrek
Keyword(s):  
Sustainable Development ◽  
Agricultural Policy ◽  
Common Agricultural Policy ◽  
Agricultural Land ◽  
Slovak Republic ◽  
Significant Proportion ◽  
Policy Formulation ◽  
Legal Form ◽  
Agricultural Subsidies ◽  
The Impact

Sustainability is a particularly crucial factor in policy formulation and analysis, including in the EU’s common agricultural policy. The common agricultural policy, through a subsidy policy, has caused a significant proportion of public funding to flow to agricultural subsidies, so it is appropriate to focus on the effect of these subsidies in the context of the sustainable development of EU agriculture. The impact of agricultural subsidies on business performance is of interest to policy makers. In agrarian practice, insufficient attention is paid to the legal form of agricultural performance, so our economic analysis focused on this area of research. The aim of the paper was to evaluate the effect of financial support in the form of subsidies resulting from the EU’s common agricultural policy and to verify its connection with the performance of agricultural enterprises in terms of the legal form in the context of sustainable development of the agricultural sector in Slovakia. No statistically significant linear correlation was found between farms’ performance results and the volume of subsidies per hectare of agricultural land for each legal form throughout the reporting period. In each analyzed year, business companies achieved a better overall assessment than agricultural cooperatives based on monitored parameters.

scholarly journals The impact of economic freedom on foreign portfolio investments

2020 ◽  
Vol 9 (2) ◽  
pp. 213-222
Author(s):  
Tricia Karen Mangal ◽  
Day-Yang Liu
Keyword(s):  
Economic Freedom ◽  
Foreign Debt ◽  
Fixed Effect Model ◽  
Single Market ◽  
Fixed Effect ◽  
Foreign Investors ◽  
Effect Model ◽  
The Impact ◽  
Positive Effect ◽  
Portfolio Investments

The present phenomena of globalization and market liberalization have attracted considerable attention from foreign investors. Several member states of the Caricom Single Market and Economy are becoming heavily dependent on foreign investments. Consequently, this study intends to investigate the effect of economic freedom on foreign portfolio investments in the case of the Caricom Single Market and Economy. For this purpose, this study has used data from 2012 to 2016. The results of the stationarity test showed that data of all variables considered in the study are stationary at level. Moreover, the fixed-effect model better modeled the data as suggested by the results of the Hausman test. Based on the results of the fixed effect models, economic freedom has a significant and positive effect on the total foreign portfolio investments. Therefore, an increase in economic freedom among the Caricom Single Market and Economy member countries will attract more investors to invest in their country stocks and debt instruments. Furthermore, for the robustness of the results, the study has also estimated a separate regression model for foreign debt portfolio investments and foreign equity portfolio investments which also support the baseline regression results and showed a significant and positive effect of economic freedom on both foreign debt and foreign equity portfolio investments. This study suggests that the member countries of the Caricom Single Market and Economy improve their economic freedom which will attract foreign investors to invest in their countries. 

scholarly journals Exchange Rate, Terms of Trade and Employment Nexus: Evidence From Turkey

2020 ◽  
Author(s):  
Muhammad Salah Uddin ◽  
Mahadi Hasan ◽  
Zobayer Ahmed
Keyword(s):  
Exchange Rate ◽  
Real Wage ◽  
Positive Impact ◽  
Fixed Effect Model ◽  
Terms Of Trade ◽  
Fixed Effect ◽  
Moderate Increase ◽  
Real Wages ◽  
Effect Model ◽  
The Impact

Abstract The objective of this study is to analyze the impact of the real exchange rate (RER) on employment, and real wage using quarterly disaggregated data (ISIC Rev 4 classification) composed of 19 industries in Turkey from 2010 to 2017. In our study, we employed the Fixed Effect Model, where industry-specific effects are used to control heterogeneity within the sectors. Moreover, robustness is applied to get rid of the heteroscedasticity in the error terms. Our results find that the currency appreciation has a negative, however insignificant effect on employment; whereas it has a significant positive impact on real wage. Generally, the terms of trade has no remarkable impact on employment and real wages; however, the larger industries have a substantial adverse impact on employment. Nevertheless, the interaction between currency appreciation and the top 25 per cent larger industries indicates a moderate increase in employment. The findings reflect that the appreciation of the domestic currency decreases employment at the industry level. The originality of this paper includes the effects of the terms of trade and interaction with currency appreciation in larger industries using Fixed Effect Model approach.

The impact of the China–USA trade war on USA Chapter 12 farm bankruptcies

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yu Wu ◽  
Calum G. Turvey
Keyword(s):  
Fixed Effect Model ◽  
Mixed Effects ◽  
Cubic Splines ◽  
Fixed Effect ◽  
Economic Factors ◽  
Producer Price ◽  
Content Type ◽  
Effect Model ◽  
Trade War ◽  
The Impact

PurposeThe purpose of this paper is to determine the effects of the 2018–2020 China–US trade war on US farm bankruptcies as filed under Chapter 12. The key task is to identify the economic factors affecting farm bankruptcies generally, and to then control for the trade war impacts including the Market Facilitation Program (MFP), floods, agricultural conditions and the health of agricultural finance leading into the trade war.Design/methodology/approachResults were obtained using ordinary least square regression and panel fixed effect model using bankruptcy rates and number as the dependent variable. Independent variables included market effects, credit conditions, yield variation, trade impacts, 2019 flooding, macroeconomic conditions and regional fixed effects. The authors use cubic splines to interpolate annual and quarterly data to a monthly base.FindingsBased on a fixed effect model, the authors find that all other things being equal the China–USA trade war would have had a significant impact on Chapter 12 farm bankruptcies, increasing the bankruptcy rate by 25.7%. The flooding in 2009 had minor effects of increasing the rate by only 0.05%. The overall impact will, however be substantially lower than the 25.7% because of the MFP. The MFP variables (binary) had mixed effects and its true impact is unknowable at this time; however, the authors also find that a 1% increase in the producer price index decreases bankruptcy rates by 2.62% and farm bankruptcy numbers by 3.70%. Likewise a 1% increase in GDP reduces bankruptcies by 3.25%. These suggest that the MFP program will have likely reduced farm bankruptcies considerably than what would have occurred in their absence. The authors also find that states heavily dependent on trade faced lower market uncertainty. Broader economic factors (net charge-offs of farm loans held by insured commercial banks, US real GDP, the average effective interest rate on nonreal estate farm loans) affect farm bankruptcy.Research limitations/implicationsThe authors use monthly bankruptcy statistics, however not all data were available in monthly measures requiring interpolation using cubic spline functions to approximate monthly changes in some variables. Although the MFP had mixed effects in the model, the mid- to longer-term effects may be more impactful. These longer-term effects (and even shorter-term effects through 2020) are complicated by the coronavirus disease 2019 (COVID-19) pandemic, which will require a different identification strategy than that employed in this paper.Originality/valueThe analysis and results of this paper are, to the authors' knowledge, the first to investigate the impact of the China–US trade war on Chapter 12 farm bankruptcy filings. The use of cubic splines in the interpolation of agricultural data is also a technical innovation.

Impact of Corporate Governance Practices on Firm's Cash Holdings in an Emerging Market: A Panel Data Analysis

2017 ◽  
Vol 7 (2) ◽  
pp. 210 ◽  
Author(s):  
Lingesiya Kengatharan
Keyword(s):  
Corporate Governance ◽  
Audit Committee ◽  
Cash Holdings ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Board Independence ◽  
Manufacturing Companies ◽  
Effect Model ◽  
Governance Practices ◽  
The Impact

The aim of the study was to examine the impact of corporate governance practices on firm's cash holdings of listed manufacturing companies in Sri Lanka, using panel data extracted from the financial statements of the companies listed on Colombo Stock Exchange. Corporate governance practices of Sri Lankan listed manufacturing companies were measured by board independence, board size, CEO duality, audit committee meetings and audit committee members, cash holdings were measured by percentage of cash and cash equivalents on total assets and also leverage and firm size were considered as control variables. Data were collected from 26 listed manufacturing companies over a five years period of 2011-2015. Pooled Ordinary Least Square, Fixed Effect and Random Effect models were performed using STATA to explore the best model for the impact of corporate governance practices on firm's cash holdings. Results of the study revealed that fixed effect model was the best model with the evidence of Hausman specification test. According to the fixed effect model, CEO-duality and leverage had significant negative impact on cash holdings while audit committee meetings and firm size had positive impact on cash holdings of the listed manufacturing companies in Sri Lanka. Board independence, board size and audit committee members did not show any significant impact on cash holdings. Findings of the study may be useful to practitioners to identify the effects of corporate governance practices on firm's cash holdings.

Impact of Military Expenditures on the Globalization Process: A Spatial Econometric Analysis for African Region

2021 ◽  
pp. 002190962110103
Author(s):  
Saima Sarwar ◽  
Alvina Sabah Idrees
Keyword(s):  
Economic Growth ◽  
Negative Relationship ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Spatial Econometric ◽  
Effect Model ◽  
The World ◽  
Spatial Autoregressive ◽  
Military Expenditures ◽  
The Impact

With modernization, ideological shifts and economic interdependency, the concept of globalization has expanded vastly. Though the world is unipolar, still the international competition remains prevalent that poses serious threats to regional conflicts. The great powers of the world are still competing with each other for influence over other countries. Thus, the role of militarization cannot be ignored in this context. Thus, it would be interesting to examine the impact of military expenditures on the globalization process through the spill-over effects, along with their relationship with economic growth. The study employed panel data consisting of African countries, covering the time period from 2001 to 2014. The econometric estimation is done through the application of spatial econometric techniques, that is, the spatial autoregressive fixed effect model and spatial Durbin fixed effect model. The study has found a positive relationship between economic growth and globalization but a negative relationship was found between military expenditures and economic growth.

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