EFFECT OF CRUDE OIL PRICE FLUCTUATIONS AND SELECTED MACROECONOMIC VARIABLES ON NIGERIAN AGRICULTURE AND ENVIRONMENT

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ABSTRACT

 

This study investigated the effect of crude oil price fluctuations and selected macroeconomic variables on Nigerian agriculture and environment. Time series data, covering the period of 1970 – 2016, culled basically from the Central Bank of Nigeria Statistical Bulletin, 2017 were used. Descriptive statistics, simple reaction function, simultaneous equation system model (Two stage least square approach), and analytical techniques in multivariate time series which included  Unrestricted Vector autoregression (VAR), Vector error-correction model (VECM) and Generalized Autoregressive Conditional Heteroscedasticity (GARCH) models were adopted and fitted to the data. The result showed that crude oil price and its generated revenue exacted a significant degree of procyclicality on government total expenditure, economic growth, agricultural real GDP, and the volume of government resource allocation in agriculture at 1 percent.  Economic growth proxied as total real GDP was found as the most important and statistically significant selected macroeconomic variable to influence agricultural real GDP whereas cumulative foreign private investment in agriculture was the least. In addition, crude oil price was found as the most significant contributor to environmental degradation proxied as carbon dioxide emission intensity while total government expenditure was the least significant. However, the Z – statistics of the modeled explanatory variables in the estimated economic growth function, showed that the estimated coefficient of service real GDP (which encapsulates the oil sector, education, health, entertainment and hospitality, etc) was the most statistically significant of all the modeled explanatory variables in the function. Thus, it is the most important estimated macroeconomic variable required to spur growth and development in Nigeria, followed by agricultural real GDP (AGRt), industrial real GDP (INDt), exchange rate (EXRt), financial deepening (FDt), degree of economic openness (DEOt), carbon dioxide emission intensity (CO2t), foreign private investment (FPITt), and Lending rate (LRt) arranged in descending order of importance. Moreover, previous year’s value of agricultural real GDP (AGR lag – 1) was found to be a significant variable to explain the fluctuations in current year’s AGR at 5 percent. Therefore, it is recommended that Nigerian government should double its efforts in reducing the effect of crude oil price shocks on economic planning and implementation especially in agriculture. This can be achieved by strategically transforming the resource wealth generated from crude oil into other assets that support sustained development by breeding more sustainable livelihood opportunities that absolutely reduce environmental degradation. Thus, effective macroeconomic policy strategies that ensures adequate properly targeted investment in the agricultural sector, boost economic growth, maintains favourable exchange rate that protects domestic producers from external price shocks, increases environmental quality by reducing carbon dioxide emission intensity should be effectively made and sustained. In addition, efforts should be towards controlling the degree of economic openness in such a way as to spur exportation of agricultural produce and make agricultural credit widely accessible from commercial banks at low interest rates.

 







TABLE OF CONTENTS

CONTENT                                                                                       PAGE

Title page

Declaration                                                                                                                 i

Certification                                                                                                                ii

Dedication                                                                                                                  iii

Acknowledgement                                                                                                      iv

Abstract                                                                                                                      v

Table of contents                                                                                                        vi

List of Tables                                                                                                              x

List of Figures                                                                                                             xi

CHAPTER 1

INTRODUCTION                                                                                                    1

1.1           Background Information                                                                                1

1.2           Problem Statement                                                                                         6

1.3           Objectives of the Study                                                                                  8

1.4           Hypotheses of the Study                                                                                 9

1.5           Justification of the Study                                                                                10

CHAPTER 2

LITERATURE REVIEW                                                                                        13

2.1       Theoretical Concepts                                                                                      13

2.1.1    Macroeconomics and agriculture: a theoretical concept                                13

2.1.2    Green economy, agriculture and natural resource use: issues and

opportunities                                                                                                   22

2.1.3    Oil price shocks and its macroeconomic transmission channels to

            agriculture in Nigeria                                                                         24

2.1.4    Oil price fluctuations: implications and issues in an emerging economy         29

2.1.5    Rural poverty and oil price shocks: prospects and challenges                        33

2.1.6    Trends and issues in the Nigerian oil and agricultural sector                         34

2.2       Empirical Literature                                                                                       38

2.2.1    Significance of crude oil price shocks on the Nigerian macroeconomic

aggregates                                                                                                       38

2.2.2    Crude oil price shocks, its macroeconomic transmission channels and

agricultural production in Nigeria                                                                  47

2.2.3    Carbon dioxide (CO2) emission, agricultural development and economic

            growth: any linkages?                                                                                        52

2.3       Analytical Concepts                                                                                       55

2.3.1    Basic concepts in time series econometrics                                                   55

2.3.2    Tests of stationarity (unit root test)                                                                58

2.3.3    Approaches to economic forecasting                                                             61

2.3.4    Measuring volatility in time series variables: The ARCH and GARCH

models                                                                                                            69

2.3.5    Analytical techniques adopted in related empirical studies                           69

CHAPTER 3

METHODOLOGY                                                                                                   74

3.1       Study Area                                                                                                      74

3.2       Sources of Data                                                                                              75

3.3       Method of Data Collection                                                                             75

3.4       Method of Data Analysis                                                                                76

3.5       Model Specification                                                                                       78

CHAPTER 4

RESULTS AND DISCUSSIONS                                                                             89

4.1       Analysis of the Trend and Degree of Procyclicality of Crude Oil Price

            on Selected Macroeconomic Variables                                                          89

4.2       Effects of Selected Macroeconomic Variables on Agriculture and the

Environment                                                                                                   96

4.2.1    Estimated effects of selected macroeconomic variables on agricultural

            real GDP function (endogenous variable I)                                                    96

4.2.2    Estimated function of carbon dioxide emission intensity

(endogenous variable II)                                                                                 105

4.2.3    Estimated function of farmers’ credit access from commercial banks   110

4.2.4    Estimated function of industrial real GDP (endogenous variable iv)                        112

4.2.5    Service real GDP estimated function (endogenous variable v)                        114

4.2.6    Estimated function of economic growth (endogenous   variable vi)                        115

4.3       Analysis of the Long-run Relationship Between Crude Oil Prices,

            Agricultural Real GDP and Exchange Rate in Nigeria                                  118

4.3.1    Univariate stationarity test (augmented dicky fuller method)                        118

4.3.2    Lag-order selection criteria                                                                            121

4.3.3    Cointegration test                                                                                           121

4.3.4    Vector autoregressive model                                                                          122

4.3.5    Impulse response function                                                                              126

4.3.6    VAR post-estimation test: lagrange-multiplier test of autocorrelation           128

4.4       Agricultural Growth, Economic Growth and Carbon Dioxide Emissions

            from Solid, Liquid and Gaseous Fuel Energy Consumption                         129

4.4.1    Stationarity test                                                                                               129

4.4.2    Lag order selection criteria                                                                            129

4.4.3    Cointegration test                                                                                           129

4.4.4    Vector error correction model                                                                        130

4.4.5    Carbon dioxide emission from solid fuel energy consumption

(D_Co2 Solid)                                                                                                 132

4.5       Modelling the Volatility of Crude Oil Price Returns and Factors Affecting

            the Volatility in the Return Process                                                                135

4.5.1    Pre-estimation test: testing for the presence of clustering volatility and

Arch-effect in the residual of the mean models                                             135

4.5.2    GARCH (1,1) modeling of the volatility of crude oil price return                        137

4.5.3    Portmanteau test for white noise in the GARCH (I, I) model                      140

CHAPTER 5

SUMMARY, CONCLUSION, AND RECOMMENDATION                              141

5.1       Summary                                                                                                        141

5.2       Conclusion                                                                                                      144

5.3       Recommendations                                                                                          145

REFERENCES

APPENDICES

 

 

 

 

 

 

 

LIST OF TABLES


4.1       Simple Regression Result of the Reactions of Selected Macroeconomic

Variables to Changes in Crude Oil Price.                                                      94

4.2       Simple Regression Analysis Result of the Reactions of Selected

Macroeconomic Variables to Changes in Crude Oil Revenue.                        95

4.3       Summary Results of the 2SLS Inter-Variable Relationships Between

Agricultural Real GDP, Carbon Dioxide Emission Intensity, and Selected

Macroeconomic Variables.                                                                             98

4.4       Augmented Dicky Fuller Method for Stationarity Test of AGR, EXR, and

OILP at Level                                                                                                 119

4.5       ADF Unit Root Test at First Difference of AGR, EXR, & OILP                120

4.6       Lag Order Selection Results                                                                           121

4.7       Johansen Tests for Cointegration                                                                   122

4.8       Vector Autoregressive Results between AGR, EXR, and OILP                        123

4.9       Granger Causality Wald Tests                                                                        125

4.10     Lagrange-Multiplier Test of Autocorrelation                                                128

4.11     Lag Order Selection Criteria                                                                          129

4.12     Johansen Tests for Cointegration                                                                   130

4.13     Vector Error-Correction Model                                                                      131

4.14     Regression Results of Crude Oil Price Return                                               135

4.15     LM test for ARCH effect in OILP return residual                                         137

4.16     GARCH (1, 1,) Family Regression Multiplicative Heteroskedasticity      138

4.17     Portmanteau Test for White Noise                                                                 140

 

 


 

 

 

LIST OF FIGURES


4.1       Crude Oil Price and Crude Oil Revenue Co-Movement                                89

4.2       Trend and Magnitude of Crude Oil Price and Government Total

            Expenditure                                                                                                    90

4.3       Crude Oil Revenue and Government Total Expenditure Co-Movement       90

4.4       Crude Oil Price Movement and Government Expenditure in Agriculture     91

4.5       Crude Oil Revenue Movement and Government Expenditure in

            Agriculture                                                                                                     91

4.6       Oil Price and Gross Domestic Product Co-Movement                                  92

4.7       Oil Revenue and Gross Domestic Product Co-Movement                             92

4.8       Oil Price and Agricultural Real Gross Domestic Product Co-Movement.      93

4.9       Oil Revenue and Agricultural Real Gross Domestic Product

            Co-Movement                                                                                                 93

4.10     Impulse Response Function of Agricultural Real GDP to Shocks

            in Itself, Exchange Rate And Crude Oil Prices                                              126

4.11     Impulse Response Function of Nominal Exchange Rate to Shocks on

Agricultural Real GDP, Itself, and Crude Oil Price                                       127

4.12     Impulse Response Function of Crude Oil Price to Shocks in Agricultural

            Real GDP, Exchange Rate and Crude Oil Price                                             128

4.13     Residual Plot of OILP - Mean Model                                                            136

 

 

 

 

 

  

 

 

CHAPTER 1

INTRODUCTION


1.1       BACKGROUND INFORMATION

Economies well-endowed with a non-renewable resource, especially the crude oil producing countries like Nigeria, extract a substantial resource rent. A large degree of the resource rent usually accrues to the government through ownership, royalties and taxes. Therefore, macroeconomic policies (fiscal, monetary and exchange rate policies) play important role in the economy wide and intertemporal distribution of the rent.

 

However, non-renewable resource revenues in Nigeria, as in other non-renewable resource exporting countries has been circumscribed in high degrees of volatility and uncertainty engendered by fluctuations in the international prices of the commodities, especially that of crude oil which constitutes more than 80% of Nigeria’s foreign exchange earnings (Abdulkareem and Abdulhakeem, 2016). These often lead to extemporaneous changes in public spending and procyclicality in fiscal policy instruments. Thus, exposing policy makers to the vast challenges involved in effectively transforming exhaustible resource wealth (like that of crude oil) into a portfolio of other pro-poor assets that ensure a green economy, breed more sustainable  livelihood opportunities and reduce environmental degradation by operating at optimal level of pollution.

 

Presently, Nigeria is facing the challenges of how to cushion the effect of plummeting global oil price which has negatively affected the total volume of investable capital of the federal government, eroded the foreign reserve and the real exchange rate (Abubakar, 2015). This has culminated in reduction of government consumption and investment with its multiplier ripple effect affecting the disposable income of the citizen, reducing aggregate demand, savings and investment decisions in the economy (Akpata et al., 2015). Obviously, given the dearth of experience in Nigerian economy, government often make their spending decisions in response to short term fluctuations in petroleum earnings. Thus, crude oil commodity price volatility exercises a destabilizing influence on different sectors of the  economy and effective macroeconomic policies assumes an additional role of managing risks associated with the price fluctuations of the natural resource.

 

No doubt, fluctuations in crude oil prices have a deleterious influence on Nigeria’s macroeconomic outlook since oil generates more than 75% of total government revenue and its price per barrel is the dominant anchor for Nigeria budget. Therefore, fluctuations in its price exert great impact on the fiscal rules and macroeconomic adjustments of the federal government by rendering a strict balance – budget policy highly procyclical and destabilizing (Allegret et al., 2014).

 

Obviously, crude oil price, by extension its revenue, tends to bring about shifts in the relative size of the tradable and non-tradable sectors, especially agriculture. In other words, crude oil price has a far reaching implications for exchange rate, international competitiveness of local producers, volume of government expenditure, aggregate demand and other macroeconomic variables such as inflation, net export, employment etc that controls the flow of economic activities in any sector of the economy (Allegret et al., 2014). Therefore, it is pertinent for one to expect crude oil price to have influence in the agricultural sector and the environment since whatever disturbs the macroeconomic environment (by way of inter-linkage effects) also affects the agricultural sector and the environment’s carrying capacity. In addition, modern food production is based on input-intensive agriculture, meaning that it depends heavily on additional fertilizer, pesticides, water for irrigation and mechanization which all in turn, depend on fossil-fuel energy.

 

Empirically, it has been observed that crude oil price fluctuation exacts great influence on agriculture and the environment through various channels. Specifically, the supply side channel considers oil as a production input. Thus, an oil price increase might lead to an increase in the marginal cost of production which would result in reduction of output and negatively affect farmers’ gross margin and their willingness to invest in practices that improve the environment’s absorption capacity, which will consequently affect its source and sink functions.

 

The demand side channel however, focuses on the effect of oil price fluctuations on the demand capacity of the citizens for agricultural produce and the volume of investment in agriculture. It follows that an increase in oil price may lead to increases in the unit cost of energy which translates to reduction in real disposable income of stakeholders (farmers and energy dependent general public) and consequently reduces the real volume of investment in agriculture and the demand for agricultural produce for raw materials. This is because it has been empirically substantiated that consumption and investment are positively related to income, a reduction in income as a result of crude oil price increase, would lead to a reduction in consumption and investment in the agricultural sector in particular and other sectors of the economy in general. Thereby, affecting the capacity utilization and productivity disposition of stakeholders in the economy.

 

Nevertheless, oil price fluctuations have different economic implications for different economies and different sectors of the same economy depending on their crude oil production capacity and consumption needs (Allegret et al., 2014). Net-exporters of crude oil benefit from oil price hike while net-oil importers suffer. Likewise sectors that require crude oil in the production of its raw materials like the agricultural sector and manufacturing sector, suffer more during oil price surge (Anzuini et al., 2014; Ayadi, 2000). However, the Nigeria economy has a unique idiosyncratic nature of qualifying as both oil-exporter and oil-importer since the economy exports crude oil but imports refined crude oil by- products. Thus, swings in crude oil price (whether upward or downward) have a mixed ripple effects on the Nigerian economy. In other words, it can both benefit and hurt the Nigerian economy at the same time.

 

Although by reason of the vast degrees of corruption and bureaucratic bottlenecks in the oil industry, decreases in crude oil prices exacts more negative influence than any of its perceived positive influence on the Nigerian economy. Specifically, apart from the reduction in the pump price of premium motor spirit (fuel) from N97.00 per liter in January, 2014 to N87.00 since March, 2015 and later dropped to N86.00 since January 2016 which has somewhat increased the disposable income of commuters  and other fuel dependent manufacturing and service sectors (all things being equal especially, fuel scarcity), it has nevertheless, negatively affected government revenue used in the payment of workers’ salaries and other economic development projects such as investing in agricultural productivity enhancing activities (such as roads, irrigation facilities, research and development, education, health etc) and natural capital development (such as climate  change mitigation investment, construction of drainages for erosion control, pollution control investments to increase the environment’s source and sink functions) and other environmental protection and social overhead investments.

Thus, the reduced pump price of PMS (which is a byproduct of crude oil) was not sustainable as government revenue was drastically affected. This led to the official removal of fuel subsidy and average pump price of PMS in Nigeria became N145.00 per liter since March, 2016 till now. All these have reduced consumption, affected gross savings and investment in the economy and consequently, have slowed down economic growth to the extent that analyst has described the economy to be in recession while the presidency has officially said the country is broke.

 

Therefore, with this gloomy macroeconomic outlook of the Nigerian economy, the question now is how can these challenges translate to opportunities for change in such a way that will make Nigeria to adequately and fairly feed her growing population in a manner that will alleviate poverty and advance economic development while reducing pressure on natural resources and environment’s absorption capacity? The central challenge has been to move from one-sided concern with the use of crude oil revenue for enhancing expenditure towards the pursuit of macroeconomic stability, sustained growth and diversification through agriculture. This nevertheless, will require a holistic and coordinated macroeconomic policy strategies for agricultural growth and development in the economy.

 

However, strategies and policies alone will not be sufficient to transform Nigerian agriculture into a dynamic engine of pro-poor growth unless they can be translated into an implementable action plan that is supported by legislative action and backed up by appropriate public expenditure and conducive macroeconomic environment. In other words, a paradigm shift towards a sound evidence-based policy making process is needed to promote a more competitive, equitable, gender sensitive and environmentally sustainable growth in the agricultural sector. The recent global crude oil price plunge and food price surge have made this paradigm shift even more important.                                               


1.2       PROBLEM STATEMENT

The recent fall in crude oil price globally, has generated in itself a series of mixed multiplier ripple effect in the world, necessitating a macroeconomic paradigm shift that may not be too comfortable for most oil exporting countries especially Nigeria whose budget benchmark is predicated in crude oil prices and about 80% of her foreign exchange earnings is attracted by crude oil exports. The Nigerian economy is badly affected in this regard because successive Nigerian government over the years lacked the political will to adopt a strong fiscal rule that will effectively transform her exhaustible resource revenues (like that of crude oil which has high degree of volatility and uncertainty in its prices) into other productivity enhancing assets that generates more sustainable livelihood opportunities (Akpata et al., 2015).

Apparently crude oil wind fall revenues in Nigeria over the years are intuitively expected to offer divers opportunities for economic growth and development in the country. Paradoxically however, the countries socioeconomic outlook is still mirrored in infrastructural decay, poor rate of development in all sectors especially the agricultural sector, environmental degradation, hydra-headed levels of corruption and poverty. These have combined to create an economic environment that hardly support agricultural production, while increasing dependence on crude oil and burdening the environment’s carrying capacity with cumulative pollutants. Obviously, these effects were exacerbated by weak bureaucracies in government which failed to effectively adopt any of the recommended profound approaches in managing oil revenues and its volatility price mix, ranging from savings in stabilization fund (also known as sovereign wealth fund), through public investment in real sectors of the economy especially agriculture and natural capital, counter-cyclical fiscal policy, to export diversification. Thus, the experience of Nigeria and other economies with abundant non-renewable resources in retrospect, often points to lack of fiscal discipline as well as weak and inefficient resource management (Allegret et al., 2014).

Now the rainy day is here. Perpetual decline in oil price will eventually deplete Nigeria’s foreign reserves, strain her budgets, and trigger cuts in social overhead spending and other austerity macroeconomic policy adjustments. These will adversely affect the productivity disposition and capacity utilization of stakeholders especially farmers by reducing the liquidity and consumption smoothening effect of their available income which will affect their investment decisions and the volume of resources they appropriate on environmental improvement in their farms.

 

Therefore, given the Nigerian monoeconomy’s extant dependence on crude oil earnings, the major challenges of the Nigerian government among her policy makers have been the most efficient means to cushion the vulnerability created in the economy by global crude oil price fluctuations, decouple the procyclicality of its revenues and transit to a green diversified economy. Obviously, the need to diversify the Nigerian economy away from oil seems clear and highly paramount especially now that plummeting global oil prices have reduced Nigeria’s foreign exchange earning capacity, weakened her currency, eroded investors’ confidence and spurred a gloomy macroeconomic outlook, at least in the short run.

 

In that regard therefore, it has been empirically substantiated by several studies that a holistic approach towards agricultural growth and development is the key to cushion the Nigeria’s economic vulnerability to crude oil price shocks and pave the road to economic diversification (Addison et al., 2016; Udensi et al., 2012; Eyoh, 2008). Profoundly, it has been observed that improved agricultural development and growth can offer a pathway out of mono-economy towards economic diversification in Nigeria but evidence-based macroeconomic policy strategies in the bane of crude oil price fluctuations are needed.

 

1.3         OBJECTIVES OF THE STUDY

The broad objective of this study was to analyze the effect of crude oil price fluctuations and selected macroeconomic variables on Nigerian agriculture and environment. The specific objectives were to:

1.                examine the trend and procyclicality in crude oil price movements, economic growth, agricultural real GDP, the volume of government expenditure for agriculture and total oil revenue generated by the federal government.

2.                analyze the effect of carbon dioxide emission intensity, interest rate, exchange rate, crude oil price, government expenditure in agriculture, farmers’ credit stock accessed from commercial banks, industrial real GDP, service real GDP, degree of economic openness, rate of inflation, oil price volatility, foreign private investment in agriculture and total real GDP on agriculture and the environment.

3.                determine the long run relationship between crude oil price fluctuations, agricultural real GDP growth return, and exchange rate movement.

4.                identify the relationships between agricultural growth, economic growth and carbon dioxide emission from solid, liquid, and gaseous fuel energy consumption.

5.                model the volatility of crude oil price returns and factors affecting the volatility in the returns process.


1.4       HYPOTHESES OF THE STUDY

            The following hypotheses were tested in this study:

i.               Crude oil price has a positive procyclical effect on economic growth, government expenditure, agricultural real GDP and volume of government resource allocation in agriculture.

ii.              Nominal exchange rate, economic openness, government expenditure in agriculture, industrial real GDP, service real GDP, economic growth, farmers' credit access from commercial banks, and foreign private investment in agriculture are positive determinants of agricultural real GDP.

iii.            Carbon dioxide emission intensity, lending rate, crude oil price, and annual rate of inflation exact negative influence on agricultural real GDP.

iv.            Economic growth and foreign private investment have positive effect on carbon dioxide emission intensity.

v.              Crude oil price, agricultural real GDP, and economic openness have inverse relationship with carbon dioxide emission intensity.

vi.            Lending rate, government expenditure in agriculture and crude oil price volatility have a negative influence on the volume of credit accessed by farmers from commercial bank.

vii.           There is no significant long run relationship between crude oil price and agricultural real GDP in Nigeria.

viii.         Economic growth and nominal exchange rate are positive contributors to the volatility of crude oil price return.

  

1.5       JUSTIFICATION OF THE STUDY

Crude oil is arguably the most influential physical commodity in Nigeria and frequently considered as an important macroeconomic indicator that influences the agricultural sector, aggregate demand, and real economic growth in both developed and developing countries (Badel and McGillicuddy, 2015; Basu and Indrawati, 2015). However, the high fluctuations in crude oil price have adversely impacted on overall macroeconomic performance and posed significant challenges to policy makers in Nigeria.

 

Undoubtedly, Nigerian economy is facing its worst economic crisis in decades, occasioned by the global crude oil price plunge, which have reduced government revenues, weakened the Naira and caused growth to slow. Acute fuel and foreign exchange crises have probably led to increasing levels of poverty occasioned by high cost of food and transportation which have combined to stoke up Nigeria’s inflation rate.

 

Lamentably, these increasing cost of living have metamorphosed into deprivation in health, education, nutrition, safety, legal and political rights and many other areas. All these dimensions of deprivation interact with and reinforce each other therefore creating political and socio-economic tensions ranging from marginalization, through insecurity (e.g. militancy, Kidnapping, terrorism, robbery, cattle rustling, herdsmen-farmer clashes, etc.) to hydra-headed levels of corruption. 

 

Thus, tumbling crude oil prices is the gravest handicap Nigerians have faced in recent time. It is also, I suppose, the greatest opportunity. In the short term, there will be colossal suffering, pain galore. Companies and governments are bound to lay off workers. Many more of those who remain on the employment roll are likely to experience slashed entitlements and more frequent cases of unpaid salaries will become the norm rather than the exception.

Obviously, Nigeria will not be able to cushion its macroeconomic woes occasioned by external crude oil price shocks without moving from her mono-economy towards diversification.  The diversification of the Nigerian economy was long overdue as continues reliance on crude oil exports had always made the economy vulnerable to shocks. Nevertheless, agriculture has been profoundly adjudged as the best dynamic pathway to pro-poor growth and economic diversification in Nigeria. Ultimately, efforts to fortify the Nigerian agriculture have not yielded the required results in the sector. In recent times where traces of upward trend in agricultural output have been observed however, it was largely derived from the expansion of cultivated land and is not sustainable in the long run (Shenggen et al., 2008). Therefore, to achieve desired socioeconomic development in Nigeria through agriculture in the light of crude oil price shocks, evidence-based macroeconomic strategies are needed for government and other stakeholders to develop synergy in prioritizing their policy and investment interventions in agriculture.

 

This is necessary because it is not debatable that the performance of agricultural firms to a very large extent depends on the macroeconomic environment, which in the Nigerian case, is shaped by the degree of crude oil price volatility mirrored in the uncertainty of its revenue generation that controls the level of achievement of the cardinal macroeconomic objectives of the federal government. However, what has been primary in the debate is the nature of this relationship as well as the timing and degree of influence of these macroeconomic changes engendered by crude oil price fluctuations on the performance of agricultural firms and the environment.

Nevertheless, before an effective macroeconomic framework can be designed and implemented in the face of oil price shocks however, it would be pertinent for policy makers and stakeholders (farmers and the general public alike) to have a profound empirical understanding of the effects of crude oil price macroeconomic transmission channels of interest in this study on the Nigerian agriculture and the environment. This hopefully, will contribute significantly to economic diversification, poverty reduction, economic growth and environmental sustainability.

 

Nevertheless, there is considerable lack of detailed empirical knowledge in this regard to guide policy-makers in effectively and efficiently directing government interventions to spur agricultural growth and reduce the constraints that affect the carrying capacity of the environment through appropriate macroeconomic policy mix. Most previous studies on related areas were theoretical in nature, some adopted a single equation system which probably yielded biased estimates of the identified parameters and incapable of capturing completely the direct and indirect influences exerted by these variables on agricultural real GDP (see: Eyoh, 2008; Oluba, 2007). Thus, these works cannot adequately serve as a policy guide for policy makers.

 

To bridge this knowledge gap therefore, this study adopted a Simultaneous Structural Equations System in which many economic variables were endogenous and their direct and indirect interactions were explicitly considered in the model. First, this allowed us to endogenize many economic variables that were likely to be generated in the same economic process, thereby reducing or even eliminating the bias resulting from the endogeneity of these variables in the empirical econometric estimation of the various effects. Second, it also allowed us to estimate the various direct and indirect effects of the identified macroeconomic variables on the index of agricultural real GDP.

 

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